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219389365.docx
Motivation &
Engagement
Expertise & Development.
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Motivation |
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rooted in the Latin word movere – to move. •
So action as a result of an internal or external stimulus.
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Whose job is it? •
Case – humanitarian aid, motivating? •
http://www.youtube.com/watch?v=dyf2Cf5GkTY
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To 4 minutes |
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In a teaching situation, currency might be “marks”
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And the teacher provides “aid” (Will this be on the test,
the student asks
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Are we providing the “fish” not teaching students “how
to fish”?
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Generally teachers/trainers care about student
engagement because it predicts how well the student will
fare in the course/program. What do you need to know?
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Motivation, what does it look like? •
Engagement or unengagement is what we see.
Definition - refers to the behavioural intensity, emotional quality and personal investment in a student’s involvement during a learning activity.
Behaviour – Positive Emotion – Cognition - Voice
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Behaviour engagement |
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On-task attention •
Strong effort •
Enduring persistence |
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Emotional Engagement |
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Positive emotion - •
This is interest, enthusiasm, enjoyment and a sense of wanting to.
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Cognitive Engagement |
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investing intellectually
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by the strategic and purposive seeking of understanding and the refining of skill
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planning, monitoring and evaluating activities
The opposite, cognitively unengaged students, work on tasks in a rather superficially way.
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Voice |
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This is an expression of SELF during the learning activity.
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Offers suggestions, recommends activities, expresses interests and preferences, participates in and contributes to calls for discussions.
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SO, WHY IS ENGAGEMENT
IMPORTANT?
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. It makes learning possible
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. It predicts how well student will fare.
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. Engagement is malleable – and therefore open
to increase.
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. Engagement is a useful feedback mechanism
on teaching efforts.
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Motivation |
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It involves the forces that energise and direct behaviour.
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Energy - strong, intense and full of effort.
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Direction - focused on accomplishing a goal or outcome.
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Therefore for us, motivation is the study of all the forces that create and sustain students’ effortful goal- directed behaviour.
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Motivation |
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think of it not as a unitary construct by as types or quality.
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get away from thinking “how much” motivation is required.
To flourish, motivation needs supportive conditions.
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TWO APPROACHES TO PROMOTING MOTIVATION AND ENGAGEMENT |
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Behavioural approach – carrot /stick
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Dialectical approach –students bring motivation of their own into the teaching engagement
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A behavioural approach |
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teacher offers an attractive incentive – student works hard to achieve this
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teacher warns of an unattractive consequence – student works hard to avoid this
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teacher models appropriate behaviour – student emulates what they see
Any issues with this? |
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Issues with behavioural approach |
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process is one of feeding, giving free information
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Educators are always “help out” “admonish” provide a helping hand
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student motivation is said to increase and decrease in response to what the teacher does or does not do.
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Is this breeding dependency?
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A dialectical approach |
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students bring motivation of their own - trainers/ teachers need to tap into and nurture this.
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EG - Students express an interest or goal . A teacher who listens and and asks for students’ perspective.
The logic of the dialectical approach, motivation originates within the students and effective teaching depends on the efforts of the students themselves. |
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Three principles emerge |
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Students have motivation of their own.
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Teachers/trainers motivate students when they provide the conditions that motivate.
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How well or poorly teachers nurture innate motivation resources will be reflected in the extent of student engagement.
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INTRINSIC AND EXTRINSIC MOTIVATION |
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Intrinsic motivation – is the inherent desire to engage one’s interests and to exercise develop one’s capacities.
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It emerges spontaneously out of the individuals need for autonomy, competence and relatedness.
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When trainers/teachers find ways to involve and nurture students psychological needs students say that the activity is interesting, fun and enjoyable.
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Extrinsic |
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Extrinsic motivation arises from outside incentives and consequences
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Do “A” to get “X”- it is an environmentally created reason to initiate or persist with an action
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Externally motivation is a common practice … benefits is that it recruits willing compliance.
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Hidden costs of rewards |
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Loss of intrinsic motivation
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Extrinsic motivation also interferes with learning.
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Extrinsic rewards interfere with the development of self-regulation.
“ supermotivation ” does not occur.
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How do you use them effectively, extrinsic motivators? |
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Extrinsic motivators can be administered to either control behaviour or to inform competence.
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Offering rewards in an informational way, that is unexpected, supports student engagement… cans support student innate need for mastery for tasks.
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Teacher voice communicating extrinsic rewards |
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A continuum of motivation |
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Amotivation •
Externally regulated – motivation
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Introjected - motivation
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Identified – motivation
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Intrinsic motivation
Task… align these motivations with possible consequences.
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Motivation and Psychological needs |
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What psychological needs are an inherent source of motivation that generates the desire to interact with the environment so as to advance one’s personal growth, social development and psychological wellbeing?
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Autonomy – Competence – Flow – Relatedness
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AUTOMONY
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Autonomy is the need to experience self-direction in the initiation and regulation of one’s behaviour.
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the sense that what one is doing emanates for the self and is one’s own
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When engage in a learning activity because they want to learn – autonomy high
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Perceived locus of causality
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Why are teachers so controlling? |
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The belief that controlling motivating style are more effective in leading students to successful task completion.
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They feel so much structural or administrative pressure from outside the classroom there for need to control •
The circumstance so the profession dictate that teachers comply with performance standards, accountability pressures, etc
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Teachers often feel so much pressure from students… an attempt to combat student apathy and disengagement.
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COMPETENCE |
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Competence is considered in this context the psychological need to be effective as one interacts with the surrounding environment.
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competence is the need to develop some mastery when challenged.
What was your optimal challenge?
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How to support learners’ need for competence? |
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Optimal challenge – is the teaching environment condition that involves the need for competence; Positive feedback – is the key condition that satisfies it.
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But, in setting optimal challenges teachers attitude needs to display failure tolerance… the teacher who accepts failure and error making as a necessary and inherent, sometimes welcome part of the learning process.
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Discuss
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Flow
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Flow is an absorbing state of concentration in which students become engrosses in the activity at hand.
When was the last time you were wrapped up in a challenging activity when you forgot to eat etc ?
What role do perceived competence and flow contribute to your learner’s engagement? How could you promote these motivations in your learners?
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RELATEDNESS
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Relatedness is the need to establish close emotional bonds with other people and it reflects the desire to be emotionally connected to others and interpersonally involved in warm relationships.
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Because of this need we tend to gravitate to those whom we care and trust to “care” for us.
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Who: likes them, cares about their welfare, accepts and values their true self, rather than a façade.
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RELATEDNESS |
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What do you think of this in relation to your learners?
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Whose responsibility is this in the learning environment? who should it be ie the one they relate to?
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RELATEDNESS |
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Why is relatedness important? •
Greater levels of experiencing related ness correlates with greater engagement in learning
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Greater experience of relatedness – more resilient to stress
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Relatedness to teachers/trainers provides the context in which learners internalize their teacher/trainers values.
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Motivation summary |
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Task – unengaged George. George 17, is often unengaged. He does not participate in group work that appears interesting to his fellow learners. His marks and attention to detail appear to mean little to him.
What practical and immediate approaches can you take to assist George?
See video •
http:// www.youtube.com / watch?v = qwX0OLrWbFg
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712381287.docx
Expertise and its development
Expertise and Development 9th April 2014
Progression
Expertise
Characteristics of expertise
Knowledge underpinning expert performance Procedural development
Conceptual development
What about dispositions?
Thinking about transfer
Focus questions
What constitutes expert performance in your field of work?
Why would we want to understand the characteristics of experts?
How do we develop expertise in specific occupations?
Constituting expertise
Extensive research into what constitutes high levels of human performance occurred during the ‘cognitive revolution’
Human knowledge processing ability relatively limited (Glaser 1984, Newell & Simon, 1972)
Fantastic memories and organisation of knowledge in memory (Sweller 1990)
Domain-specificity of expert performance (Sternberg 1989)
Situational nature of expert performance (Billett 2001)
Multi-sensory and modal ways of knowing (Barsalou 2008)
..... ‘general’ capacities not necessarily determinant
Chess playing (Chi 1978), street vendors (Carraher et al 1985), horse race handicappers (Ceci & Liker 1986), abacus counters (Stigler et al 1982) all emphasise domain-specificity
Questions assumptions about general abilities (chess, latin) and these being developed through schooling – also generic competencies
That is – it is not about cleverness (alone)
Experiences and experiencing seem to be the key to the development of expertise
Expertise – cognitive view
Some key characteristics of domain-specific expertise identified within the cognitive literature
i) effective categorisation of problems by means of solution
ii) active monitoring of problem resolutions
iii) compilation of procedures and chunking of concepts permits
iv) correct diagnosis of problem-solving based on understanding
vi) effective solution strategies because processes have been ‘debugged’ through extensive experiences
Situationally-specific knowledge (Billett 2001)
Domain of knowledge – such an occupation – arose through history and culture
Situational domain – domain of knowledge associated with now occupational tasks are manifested in a particular situation
No such things as an expert per se – expertise is situationally bound – Hairdressers’ study
The situated practice in each salon was distinct as where the tasks and goals for performance
Personal domain – what individuals construct over a life arising from the kinds of
It is proposed that expertise:
i) is relational, in terms of requirements of particular work practices
ii) is embedded, the product of extensive practice, over time, with understanding shaped by the practice’s activities; iii) comprises competence in the community’s discourse, routine and non-routine activities, and ability to adapt existing skills; iv) is reciprocal, shaping as well as being shaped, by the work practice, including setting and maintaining standards; and
v) requires pertinence in problem solutions, such as knowing what behaviours and problem-solving goals are acceptable
So what….?
What does all of this suggest for the development of expertise
If you were to develop a curriculum to generate expertise, what would it look like?
What can teachers do to assist the development of expertise?
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Classifying types of knowledge required for undertaking skillful work and occupational expertise:
· declarative or propositional knowledge · procedural knowledge · dispositional knowledge
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Knowledge required for expert performance
Human performance is founded on:
Domain-specific conceptual knowledge – ‘knowing that’ (Ryle 1939) (i.e. concepts, facts, propositions – surface to deep) (e.g. Glaser 1989)
Domain-specific procedural knowledge – ‘knowing how’ (Ryle 1939) (i.e. specific to strategic procedures) (e.g. Anderson 1993, Sun et al 2001)
Dispositional knowledge - ‘knowing for’ (i.e. values, attitudes) related to canonical and instances of practice (e.g. Perkins et al 1993), includes criticality (e.g. Mezirow)
Importantly, these domains are personal constructs, not exact replicas of what exists outside of the individual in the social world.
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And, they arise through the process of experiencing.
Dimensions of knowledge interdependent
Expertise requires competence at both the canonical occupational level and also the situational level
Conceptual knowledge
Procedural knowledge Dispositional knowledge
These forms of knowledge are deployed and developed through experiences in both educational and other settings, not necessarily privileged in one or the other
Nevertheless it is important to consider how the development of all forms of knowledge can be secured
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Development of expert capacities
Explaining procedural and conceptual development
Development of procedural capacities
Fitts (1964) stages of skill development
Cognitive stage - an initial encoding of the skill into a form sufficient to permit the learners to generate some crude approximation of the task. Verbal mediation is common at this stage as the learner rehearse the skill.
Associative stage - involves the ‘smoothing out’ of the skill performance. A process of debugging takes place to reduce errors and hone performance. Verbal mediation usually drops out at this stage.
Autonomous stage - gradual continued improvement
Gott (1989) increasingly mature approximation of modelled tasks
Anderson (1982) suggest movement from declarative to proceduralisation of knowledge
Proceduralisation - changing factual knowledge into a specific procedures – to no longer need to hold it in working memory
Composition - a process where a sequence of productions is collapsed into a single production (compilation of specific procedures) - goes from associative stage to autonomous stage
Compilations – individual specific procedures become compiled in single smooth procedures
Automatisation – rendering of these procedures almost unconscious – not requiring engagement with conscious working memory
Developing procedural capacities
Modelling - Coaching - Scaffolding and Fading
Modelling is the process whereby the expert executes a task with learners observing and building a conceptual model of what is being demonstrated which assists learners to successfully accomplish the task.
Coaching is the process of observation and monitoring by the expert as learners carry out activities. Experts will offer hints, feedback, clues and demonstrate tricks of the trade to assist learners achieve desired outcomes.
Scaffolding. This support takes the form of providing learners with opportunities to acquire knowledge and skills that are within the scope of the learners' ability. Additional suggestions or help, take the form of supports such as general reminders which might comprise scaffolding
Fading consists of gradual removal of support until learners are able to conduct the task autonomously. (Collins, Brown and Newman 1989)
Demonstration and discussion
A concept – goal through to proceduralisation
Heuristics – tricks of the trade
Processes of proceduralisation
Developing conceptual knowledge
Basic factual knowledge, through to propositions and causal associations and linkages
Deep conceptual understanding - possession of complex conceptual understanding
(Greeno, 1989b) and strength of relationships amongst concepts (Groen & Patel, 1988; Novak, 1990), emphasising interconnectedness of conceptual knowledge (Prawat, 1989).
Depth of understanding is limitless, when considered in relational terms to other concepts.
Associations - Anderson 1992
1. If a fact is frequently encountered with a concept it becomes associated with that concept
2. The more frequently encountered a fact about a concept the more strongly the fact becomes associated with the concept (and the more quickly they are to be verified)
3.
Verifying facts that are not directly associated with concept takes longer and require higher order knowledge and the effort behind it
Developing conceptual knowledge
Consider conceptual knowledge that is hidden (opaque) (e.g. hygiene, forces, shaping strands of hair using perm solutions, volts)
Strategies which facilitate conceptual change and reconstruction:
· questioning dialogues
· analogies (similar to)
· mnemonics
· metaphors (describing something by using something it is not literally associated with)
· physical models
Also, particular kinds of experiences that are generative of deepening understanding
Some work activities have qualities that can promote conceptual development:
For example: nurses’ handovers
· Patient
· Condition(s)
· Treatment(s)
·
Responses
· Prognosis
Also, morbidity and mortality meetings
Dispositions
Dispositional qualities associated with work (particular ways of working)
Likely arises through observation and experiences across life histories
Dispositions in the form of personal interest (Perkins et al 1994) and agency important in the effortful process of developing expertise (e.g. active engagement, deliberate practice (Ericsson 2006)
Vocations are something to which individuals assent (Hansen 1994)
In sum, …..
Expertise is an important goal for vocational education
It has occupational and workplace-specific dimensions
Arises through experience, rather than individuals’ capacities alone
Specific processes are required to develop procedural and conceptual knowledge and strategies may be required to assist the development of these forms of knowledge
Yet, central here is individuals’ dispositions and how they engage in these learning activities.
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Vygotsky’s theory – the inexperienced (students for example) are viewed as apprentices who bene>it from their relationships with competent mentors.
For Piaget, intelligence was an adap6on basic life process…adap6on to ones environment. Hence the func6on of thought was
adap$on…adjus6ng to the demands of the environment.
Schemas are what Piaget named as the structures we use/build for organizing informa6on/knowledge…three types.
Behavioural Schemas
Symbolic Schemas
Opera6on Schemas
Behavioural Schemas
The Mental representa6ons of physical ac6ons. EG banging, shaking, kicking etc …for infants, but for all, those schemas used to physically explore, respond to and adapt to objects around us.
Symbolic Schemas
language based mental representa6ons of objects and events. For example,
interac6ng with a cat and wri6ng leNers/sentences about a cat. Driving a car and understanding the various meaning of road signs.
Opera4on Schemas..,mental opera4ons
Here is a mental opera6on associated with solving a problem.. to reason logically.
The classifica6on… used in the flower problem is an opera6on schema.
All opera6ons can be carried out in a persons mind as reversible acts.
EG coun6ng mentally, the number of things you have to get from the shop. Assimila$on
Adap6on occurs through assimila6on and accommoda6on.
Assimila6on is a process of incorpora6on of some outside event into a persons way of thinking. It will only occur when you grow an exis6ng schema to make room for new informa6on. Its an add on… for example, you know how to change a tyre, you have seen it done! But those bloody nuts, they are so hard to undo.
You see someone undo the nuts before liWing the tyre off the ground with the jack… a beNer adap6on. You assimilate this knew knowledge with the old.
EG again…when you learn the name for something you have seen that has made an impression…oh now that’s a…
Accommoda$on
is also a process of change. But this change is in an exis6ng schema which is not added to, but changed in order to make sense of something knew or different. It allows a low level schema to be transformed into a higher schema. So when things don’t make sense you either modify an exis6ng schema or build a new one. For example, ….driving on the right side of the road. You have to modify your old driving schema’s
Being confronted with tying a 6e, if you have not done it before, is an example of building a new schema…you are adap6ng to the necessity of having to wear a par6cular form of clothing.
Primary circular reac6ons -‐-‐-‐ by chance infants find that some ac6ons are sa6sfying (sucking, waving an arm) and they repeat these beh schemas over and over (hence they are circular)
Secondary circular reac6ons – They find that some ac6ons produce secondary interes6ng effects in the environment …squeezing a toy makes a noise
Goal directed behaviour (8-‐12 months) Inten6ons replace reflexes…infant grasps and shakes to produce an effect, maybe noise.
Ter6ary circular reac6ons (12-‐18 months) Curiosity leads infants to experiment with object’s proper6es. EG mouthing an object aWer shaking or raNling it
Symbolic problem solving ( 18 – 24 months) Infants begin to construct symbolic images of environmental objects…once mastered object permanence this is the end of the transi6on through the Sensorimotor stage.
Object permanence is the understanding that in the environment objects con6nue to exist when they cannot be seen or detected by other senses.
2 year olds usually have developed symbolic representa6on of the object in memory. Piaget had a general theory that very young children see the world only from their own point of view and that an important part of cogni6ve development in spa6al reasoning and in many other cogni6ve abili6es was for them to be able to 'decentre'.
Part of his evidence for this was the 'three mountains task' which is sketched below. The child has to describe the view that someone on the other side of the three mountains would see. Many children even up to age 9, think the view is the same.
Animism – that objects have life like quali6es moves to dis6nguishing between animate and inanimate quali6es and things
Centra4on – Focus on the most salient feature to the detriment of others to being able to focus on more that one aspect of a feature. One of the reasons why we thought things were so big when revisi6ng them in adulthood.
Transduc4ve reasoning – that went two events happen simultaneously that one must have caused the other, to children have a beNer understanding of the temporal nature of causality.
Egocentrism – viewing the world from one perspec6ve while failing to recognize others, to being more aware of others perspec6ves.
Reversibility – Not being able to mentally undo an ac6on they have witnessed to being able to mentally return back to the original state. Use addi6on and subtrac6on as an example.
Classifica4on -‐ Not being able to group objects into categories to, doing at leas two-dimensional classifica6ons.
Possible useful video on accommoda6on, assimila6on and schemas
hNp://www.youtube.com/watch?v=LxTZTETSPOg
Piaget on Piaget video
hNp://www.youtube.com/watch?v=I1JWr4G8YLM
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Study Guide
Contents continued…
No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photo-copying, recording, or by any information storage and retrieval system, without prior written permission.
These materials may only be distributed to students enrolled in this course.
Published by Digitisation and Distribution, INS
CRICOS Provider: 00233E
3013EDN / 7286EDN Griffith University 3
CONTENTS
Topic 1: An introduction to educational research and theory 3
Why study learning and development? 3
Engaging with educational research 6
Methods and approaches to educational research 6
Learning and development theories 8
Topic 2: Cognitive Theories: Constructivism 10
Stages v continual development 11
Piaget’s stages of cognitive development 11
Vygotsky’s socio-cultural theory of development 14
Topic 3: Cognitive Theories: Information Processing Model 19
Remembering by improving encoding 22
Topic 4: Behavioural Theories of Learning and Development 25
Watson: the ‘father’ of behaviourism 25
Pavlov: Classical conditioning 26
Skinner: Operant conditioning 28
Topic 5: Social Theories of Learning 33
Some collated principles of humanistic education 38
Topic 6: Adults as learners 41
Situated and workplace learning 44
Topic 7: Designing for effective learning 47
Instructional design based on cognitive apprenticeship 49
Contents continued…
iv
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INTRODUCTION TO COURSE
This course provides an introduction to psychological theories associated with human learning and development, focusing particularly on adolescents and adults learning in vocational and technology education contexts.
Broadly, psychology is a discipline that seeks to understand the bases for human thinking and acting. Within this discipline some views focus on behaviour, whereas others on the factors that determine behaviour. Psychology has a long history, includes different perspectives and focuses on different kinds of applications. The views referred to in this course are those that help us understand human psychological development and the ability to perform both simple and complex tasks in vocational and technology education contexts.
The course has been divided into seven topics that leads through a development of understanding around key theorists to considerations of applying theoretical ideas to the planning and delivery of teaching. The following table presents a summary of the seven topics with an indication of the time you spend on each topic. Timing has been derived from an assumed total of 130 indicative hours of study across a semester for a 10 credit point course.
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Topic |
Focus |
Key theorists |
Indicative hours |
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1 |
An introduction to educational research and theory · Approaches to educational research · The development of theory and its relationship with experience and evidence · The diversity of understandings in the field of learning, expertise and development
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10 |
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2 |
Cognitive theories: Constructivism · Piaget’s staged theory of learning and development · Vygotsky’s socio-cultural theory of development
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Piaget Vygotsky |
20 |
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3 |
Cognitive theories: Information Processing Models · Information processing theory (IPT) · How IPT can be applied to understanding learning
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Atkinson & Shiffrin |
15 |
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4 |
Behavioural theories of learning and development · Differences between operant and classical conditioning · Behavioural approaches to learning and development · The use of punishment and reinforcement in supporting learning and development
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Watson Pavlov Skinner |
20 |
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5 |
Social theories of learning · Bandura’s theories of learning and self-efficacy · Humanist approaches and understandings of learning and development · Ecological systems theory and how this can be used to better understand learners
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Bandura Maslow Bronfenbrenner Rogers |
15 |
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6 |
Adults as learners · Principles and critiques of adult learning theory · The application of theories of learning and development to adult learners · Implications of learning theories on approaches to adult learning
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Billett Knowles |
25 |
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7 |
Designing for effective learning · Principles and practices in the design of learning opportunities · Expertise and its application in adult learning
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Mishra & Koheler Collins, Brown & Duguid |
25 |
Throughout, you will find it useful to consult other reading materials, because what is presented here largely comprises summaries and syntheses of ideas about human development, learning theories, motivation, adult learning and the development of expertise. There are a number of texts that address the topics in these topics. These texts can be found under the heading of ‘educational psychology’ in library catalogues.
Topic 1: An introduction to educational research and theory
Key ideas
In this topic you should develop an understanding of:
· Approaches to educational research
· The development of theory and its relationship with experience and evidence
· The diversity of understandings in the field of learning, expertise and development
Reading 1.1
TEXTBOOK
Duchesne, S., McMaugh, A., Bochner, S., & Krause, K-L. (2010) Introduction, in Educational Psychology for Learning and Teaching. (4th Ed) South Melbourne: Cengage Learning. pp. xviii-xxix.
Introduction
This topic introduces you to understandings of educational research and theory. The intent is for you to develop an appreciation of how to engage with literature and scholarship in this field to better understand key ideas and approaches to learning and development. This topic unpacks key foundations for engagement with later topics, which focus more on particular theorists, theories and applications, and, therefore, provides the basis for further independent study in this area.
Educational research is a broad field that covers disciplines such as psychology (the focus of this course), sociology, policy, professional practice, ethics and cultural studies; just to name a few. The early part of this topic will adopt a broad understanding of educational research, highlighting how this course, and study in the field of educational psychology, fits within the wider landscape of education. However, later parts of the topic will focus more on key theorists and ideas within the field of educational psychology, learning and development, thereby becoming more closely related to the content of this course.
Why study learning and development?
An important question in beginning any learning process is to consider why this is important. Often this answer to why will highlight motivations for continuing with the learning. This course should be no different. Why then should teachers, trainers and adult education professionals spend time investigating, understanding and appreciating theories of learning and development? The answer to this is something that should evolve across your engagement with this field; however, as a beginning point you are encouraged to consider the following ideas.
Provide strategies to enhance your own teaching
At the core of the reasons to study the field of learning and development is the correlation between this and teaching practice. How we teach someone, in whatever field we define, we need to also understand how that student is learning so we can approach the practice in a manner that reflects the needs and abilities of the student. For example, if we attempted to teach a young child how to write an academic essay we may find it a difficult challenge as they may not be cognitively ready for this task. Likewise if we taught an adult apprentice in the same way we taught a pre-school child we may have disengaged learners who are either bored due to simplicity or lost due to complexity. We therefore need to consider, and understand, how students learn to better understand how we can teach.
Once we have an understanding of how students learn and some barriers to their learning we are better able to develop strategies that can respond to these challenges. If we reflect on our own learning experiences we will inevitably find points in time where we had teachers (in the broadest sense of the term) who were not able to connect with us or guide our learning around the area of interest. Often this comes through not fully appreciating how each person is learning and what may be effective strategies to implement. We often teach the way we were taught and learned. That is, if we learned well from reading and writing then we tend to favour a method of teaching that uses reading and writing techniques. However, not all students are like us, and every person does not learn in the same way. As teachers we need to build an ‘arsenal’ of solutions and approaches that can accommodate the needs of the many students that we encounter.
Effective teaching relies on proper understanding of students
Similar to the above point, to be effective in our teaching we need to understand our students. Moreso, we need to have the skills to be able to assess, evaluate and reflect on our practice as teachers to ensure that we are continually improving. Often we attempt to analyse teaching practice through the sharing of anecdotal, untested, experiences. In the words of Ausubel ( 1953:315):
A time-honored method employed by many “successful” teachers is to examine their own practices, to abstract what seems to them the basis for their success, and to advocate that these practices be universally emulated. The weaknesses of this approach are obvious. The claimed success of these teachers is rarely verified by objective means, the factors to which success is attributed are merely subjective impressions which have not been objectively identified or measured, and no control data are available as a basis for comparison. Often such teachers are successful for entirely different reasons than those of alleged superior methodology. Some have good teaching personalities, others have unusually good students, and still others teach under atypically favorable conditions.
We therefore need to be able to critically examine our teaching practice, and what works, not by the sharing of ‘war-stories’ and anecdotes, but through critical interrogation guided by literature, theory and evidence. As professionals we can only achieve this by firstly developing a sound knowledge in the fields that inform educational practice.
There is often a difference between perception and reality. For example, consider the picture below.
When we look at lines that run horizontally across the page we should perceive that the lines curve and bend. However, our perception is not necessarily truthful. Examining the picture with a straight ruler will show that the horizontal lines are indeed straight lines, and it is only through the illusion of the position of the solid boxes that they begin to appear bent. In this case what we perceive to be the case is not necessarily so. It is only through experimentation (i.e. the use of the ruler) that we are able to ascertain that our perception is not accurate. In the same way we can use educational research as a way to verify our perceptions of what is, or is not, effective in our teaching.
Guide the development of our own teaching philosophy
As suggested in the previous section the study of theory and research guides the reflective practices of teachers, providing a lens through which critical examination of practice can occur. Emerging from this examination is the possibility of the development of new ways of approaching and understanding our practice. Much research around the development of teaching identities and practices suggests that teachers tend to adopt practices that they have experienced previously, or that they observe in ‘successful’ teachers around them. The new teacher becomes socialised into ways of being a teacher that creates limits, and possibilities, of what is possible. Engagement with theory and research can create new possibilities and capacities to rethink practice.
Engagement with educational research, and theories of learning and development, therefore allows us to:
· Differentiate between opinion and facts,
· Inform and shape our practice,
· Create the possibilities for informed critical reflection,
· Develop tools to challenge the existing status quo.
However, research is context specific, limited by the adopted approaches, and shaped by particular paradigms of thinking, and therefore, must always be engaged with in a critical manner.
Reading 1.2
Ausubel, D. (1953). The nature of educational research. Educational Theory, 3(4), 314-320.
Engaging with educational research
Educational research covers a large range of areas, and draws on understandings from many other discipline fields. This comes mainly due to educational practice being something that is informed and shaped by multiple disciplines. Consider a teacher of mathematics. Their practice is informed both by the discipline of mathematics as well as the field of education. Within the field of education this teacher needs to understand, for example, areas of psychology (e.g. how do students learn), sociology (e.g. how are schools shaped by social conditions), philosophy and ethics (e.g. what is the purpose of teaching and education), policy (e.g. what is the impact of national testing) and information technology (e.g. how does technology change pedagogy). Therefore, educational research presents as a diverse body of knowledge, informed and shaped by many disciplines. To engage with this body of knowledge you have to develop an appreciation of the range of approaches that are present in this research.
It is not the intent of this topic, or course, to provide a comprehensive insight into educational research. Instead this topic will touch on some key ideas, giving you the ability to interrogate the ideas that follow, but also you have the opportunity to investigate further in areas that interest you.
Methods and approaches to educational research
A simple way to separate and understand different forms of educational research is to consider the aspects of methods and paradigms. A method is a way that research is conducted, whilst a paradigm is a way in which knowledge in research is understood. Methods and paradigms do not always align, but generally particular paradigms tend to favour particular methods. Research in the fields of natural and physical sciences (i.e. chemistry, physics, biology, etc) tend to favour approaches to research that are labelled as empirical positivist research. Empirical approaches occur when we take observations and evidence from first-hand experience; for example, measuring temperature with a thermometer, or objectively observing student responses to teaching. Positivism describes what we equate to the scientific approach to knowing. Positivism, and the scientific method, construct research which aims to test hypotheses through experimentation and quantify experience ( Babbie, 2012). Therefore, positivist approaches tend to favour quantitative methods.
Considering paradigms as existing along a continuum, at the opposite end are concepts such as critical theory , post-modernism , and post-structuralism . These constructs challenge the dominant forms of knowledge and truth, arguing that truth and knowledge come into existence through the interactions of context, people and time ( Grbich, 2012). That is there is no such thing as an objective fact, instead all ideas are contestable. Moreso, how knowledge is privileged creates relations of power, with those that are part of the favoured knowledge often having power over those without this knowledge. An example of this can be observed in analysis of NAPLAN testing in Australia which privileges quantifiable measures of student learning outcomes through nation-wide testing programs, as compared to teacher professional judgement located within the lived experience of the individualised classroom. The knowledge of NAPLAN is privileged and therefore those who are able to achieve against this standard are considered to be successful, whilst those who tend towards success in other areas are not.
The following diagram attempts to highlight the continuum of methods and paradigms. Importantly in reading educational research the reader must be aware of the particular approaches being employed in the research, as they will very much shape the type and form of information that is presented. Within this course, due to its grounding in psychology, most research that is engaged in would be classified in the empirical, positivist end of the continuum.
Methods and Paradigms (adapted from Gribch, 2012)
Reading 1.3
McInerney, D. M. (2006). Introduction: Themes and research. Developmental psychology for teachers: An applied approach. Crows Nest: Allen & Unwin. pp. 4-31.
Learning and development theories
Underlying research in the area of learning and development are theories that attempt to explain and generalise experience. A theory, in the way it is being used here, is a generalisation that attempts to explain a phenomenon that has been observed repeatedly. For example, within the field of the natural sciences we have a theory of evolution, whereby over many centuries scientists have observed evidence, such as animal similarities, changes in populations, fossil records, etc., that supports a hypothesis of constant change and evolution of species. Over time this amount of verification has developed a theory of evolution that attempts to explain the phenomenon of change in species. In a similar way as in the example educational researchers have observed learning and development over many years. From this observation and experimentation theories have emerged that attempt to explain how people learn and develop. The next topic explores these different theories in more detail, but at this point it is relevant to consider the different theories with respect to how we can understand the research and arguments.
Development and learning occurs in a number of different ways. As humans we change in our physical characteristics (i.e. we get taller, fatter, older) as well as cognitively (i.e. how we think and know), emotionally (e.g. resilience and stability), and socially (i.e. how we interact with others). Development and learning can be observed across each of these domains. Theories that have developed in this space usually focus on combinations of these domains, and can be broadly divided into four categories:
1. Psyho-analytical
2. Cognitive
3. Behavioural
4. Humanistic
Within each category there are a number of different theorists and theories that attempt to explain different aspects of learning and development. The following diagram depicts some of the main theories and locates under each of the categories above.
The majority of these theories relate to the experience of the child, because for the majority of research in the area of development, that intent has been to understand how a child develops. Some of these theories, for example Piaget and Vygotsky, do not account for the idea that learning and development extend into adulthood, with Piaget, for example, claiming that adulthood is the pinnacle and ideal form. However, these theories can be extended and developed to an understanding of adult learning and development. The following two readings highlight how these theories can be understood within adult learning frames.
Readings 1.4 & 1.5
Merriam, S. B. (1987). Adult Learning and Theory Building: A Review. Adult Education Quarterly, 37(4), 187-198.
Brookfield, S. (1992). Developing Criteria for Formal Theory Building in Adult Education. Adult Education Quarterly, 42(2), 79-93.
Conclusion
This introduction has attempted to provide you with a base in which to explore the rest of this course. Primarily we have considered key elements of educational research, why there is value in exploring research, and the development of theory and its application to adult learning. The following topics will explore in more depth these theories and how we can apply them to the development of good teaching practice.
References
Ausubel, D. (1953). The nature of educational research. Educational Theory, 3(4), 314-320.
Babbie, E. (2012). The practice of social research. Belmont: Wadsworth Cengage Learning.
Grbich, C. (2012). Qualitative data analysis: An introduction. London: Sage.
Topic 2: Cognitive Theories: Constructivism
Key ideas
In this topic you should develop an understanding of:
· Piaget’s staged theory of learning and development
· Vygotsky’s socio-cultural theory of development
Introduction
This topic focuses on one of the four categories of theories identified in Topic 1, namely cognitive theories, with particular focus on theories that are broadly categorised as constructivism. In the following topic the focus will be on information processing, which is another cognitive theory. Cognitive theories are focussed on the cognitive domain of development, that is, these theories are interested in how we store, manipulate, recall and use knowledge within our brain and mind. Cognitive theory focuses on internal memory processes and their role in learning. It is concerned with how learners make meaning out of information and experience, and how they manipulate both new and familiar information. According to Stilling et al. (1987), cognition is the action or faculty of knowing, perceiving, and conceiving as opposed to emotion or volition. Cognitive science views the human mind as a complex system which receives stores, retrieves, transforms and transmits information. It is an interdisciplinary science arising from five disciplines: psychology, linguistics, computer science, philosophy, and neuro-science.
Thus cognitive theory is concerned not so much with behaviour, as what goes on in memory to underpin that behaviour. Within psychology or philosophy, the concept of cognition is closely related to abstract concepts such as mind and intelligence. Cognition is used to refer to the mental functions, mental processes (thoughts) and states of intelligent entities (e.g. humans). In contrast, metacognition refers to one’s knowledge concerning one’s own cognitive processes or anything related to them. Flavell (1976:232), who is credited with first using the term metacognition, exemplified it as follows: for example, I am engaging in metacognition if I notice that I am having more trouble learning A than B; if it strikes me that I should double check C before accepting it as fact.
Constructivism is the idea that ideas build upon each other. We come to know new material by relating and constructing new arrangements (schemas) of thinking. For example, a child first experiences a dog and identifies that characteristics of a dog is that it is furry and has four legs. When this child encounters a cat it assumes that this too is a dog for it is furry and has four legs. Through experience the child realises that the cat is somehow different to a dog, for example whiskers and claws, that the child begins to label it in a different way and constructs a new arrangement for understanding the difference between dogs and cats. In more complex ways we make sense of our world through arranging knowledge in particular ways and using prompts to be able to recall that knowledge.
Stages v continual development
In understanding learning and development three key questions emerge that require constant consideration, but are not ever really answerable. These questions are:
Does learning and development occur in stages across a lifetime, or is it a continual evolution?
Is it nature or nurture that makes us who we are socially, emotionally, physically and cognitively?
Do we all follow the same path of development or are we all different and unique?
In considering each of these questions we usually end up with the conclusion that it is both. That is we develop both in stages (e.g. infant, child, adult), as well as continually; it is both who we are genetically as well as our environment that shapes who we are in the different domains; and we are all different, but within particular groups we follow similar patterns of development and change. Most theories acknowledge these difficulties, but tend to focus on one aspect in favour of the other as a mechanism to explain the observed phenomena.
Weblink
This video provides a good comparison between Piaget’s and Vygotsky’s theories of learning. Have a look at this video as an introduction to the ideas presented in this topic.
Piaget’s stages of cognitive development
Piaget’s theory of stage development focusses on the development of cognitive ability, which he conceptualised as the ability to think and act logically and deductively. Piaget proposed 4 stages through which children’s thought processes develop:
· Sensorimotor (0-2 years)
· Pre-operational (2-7 years)
· Concrete Operational (7-11 years)
· Formal Operational (11 years onwards).
Piaget concludes that children pass through these stages of cognitive development, by engaging in assimilation and accommodation.
Assimilation refers to the interpretation of new experiences in terms of existing mental structures without altering these structures; that is, in terms of what the individual already knows. For instance, you might have noticed that young children and adolescents behave differently. Therefore, when Piaget suggests there are different stages of development for these learners, this would concur with your existing knowledge. This would not require any changes to the way you think about young children and adolescents.
Accommodation refers to changes made in mental structures in order to interpret and understand new experiences; that is, changes to your knowledge arising from a particular experience. So, as you learn about Piaget’s view of cognitive development, Kohlberg’s view of moral development and Erikson’s view of psychosocial development, etc., etc., you will develop new categories for understanding differences between these stages of development and a more nuanced basis for understanding them. Thus, you may develop more refined and categorised means to accommodate the new phenomenon. You accommodate the new knowledge by changing your existing mental structures. These ongoing processes of assimilation and accommodation are useful in understanding learning throughout life and the development of expertise. This is because they involve learning through building on what you know and further development through activities and experiences in schools, colleges, workplaces and everyday life.
We all seek equilibrium in new situations by combining the processes of accommodation and assimilation. As we grow older, and we have developed more organised conceptual structures, we are less ready and perhaps less willing to engage in accommodation, because it can constitute a threat to the way we see the world. (We may also appear foolish in front of our peers as we grapple to create new mental structures to address the challenges of the new situation.)
For example, in undertaking this course, you are asked to consider theories which seek to explain ideas in ways which might be new to you. Consequently, you are asked to think about things differently. This is both effortful and challenging. It would be far easier to dismiss these theories as being worthless because this strategy is less demanding and less challenging.
According to Piaget, the first stage of cognitive development from birth to age 2 ( sensori-motor period) is one where infants understand through their ability to coordinate sensory input. They know a rattle as the thing that makes the noise when moved, a bottle, as the thing that satisfies thirst and hunger when sucked. As development proceeds in this stage, children begin to recognise object permanence . That is, objects still exist even when they are taken away. For this a child needs mental images.
In the pre-operational period , from 2 - 7 years, children improve in their use of mental images. They classify objects in terms of a single feature (e.g. they can sort out all the red blocks). However, they can’t see the differences in like objects (e.g. sort out the red triangles from the red and blue triangles and circles). They are unable to solve conservation problems . That is, they don’t realise that physical quantities remain constant irrespective of how their shapes may alter. Consider two bowls of the same shape with the same amount of water in them. If one pours water from one into a taller, more slender bowl, the water will rise to a greater height. Even if this is done in front of a pre-operational child the child will claim there is more water in the second bowl because the water comes to a greater height. Conservation is thought to be due to centration , irreversibility and egocentrism . Centration is the inability to focus on more than one feature of a problem at once. Irreversibility is the inability to mentally “undo” something. Egocentrism is the limited ability to share another’s view point. As we grow older, we can operate on our mental images and this helps us to overcome these limitations.
Web link
Have a look at http://youtu.be/gnArvcWaH6I for a video that clearly demonstrates a child and conservation problems.
In the Concrete Operational Period (7-11 years) children can perform operations on images, but only images of tangible things. That is they can compose (recognise that a red car and a blue car are both cars) associate (a red car and a blue car is the same as a blue car and a red car) and reverse (if you take a red car away from a collection of a red and blue car, you are left with a blue car). Generally, children in this period cannot handle hierarchical classifications.
In the Formal Operational Period (11 years onwards) children can work out logical possibilities independent of real world objects . They do not need real objects or even images of real objects to think. They begin to handle abstract ideas. They use logic and manipulate symbols and abstract concepts. So they can handle hypotheses (i.e. propositions that they can develop and test).
Weblink
Have a look at http://youtu.be/pqtpoZvsiYg for a short video that highlights the concept of abstraction, evident in the formal operation stage.
As children progress through these three stages, they are developing new mental structures (accommodation) rather than interpreting all new situations with the same mental structures (assimilation). So it is with adults. We can view new situations and experiences entirely in terms of our existing ways of thinking and re-interpret the situation to fit (assimilation) (For example, when we take on a new job, we can view it entirely in terms of the nature and demands of our previous job). One example of our tendency to assimilate is the difficulty in changing habitual ways of doing things, even if we are taught new and better ways. Alternatively we can, with effort, reform our mental structures to take account of new phenomena (accommodation). For example, in taking on a new job we can begin to see work in a different way and use this new set of concepts to develop new strategies and skills in dealing with it.
The problems with Piaget’s theory can be summarised as follows.
1. It does not help to explain any changes that occur after formal operations have become possible (e.g. in adulthood). Do adults stop developing after they reach this stage?
2. Children sometimes demonstrate several stages at once.
3. Some children seem to be able to engage in some kinds of thinking earlier than proposed by Piaget.
4. Development is not generalisable across all tasks and contexts. It is often specific to particular tasks and contexts.
Reading 2.1
Text: Educational Psychology for Learning and Teaching, 54-93.
Focus questions 2.1
Think about Piaget’s stages in terms of the tasks that we set adult and adolescent learners.
1. Do the tasks require accommodation, or can the learner get by with assimilation?
1. What does this imply for the learner’s cognitive development?
1. What happens when you press an adult learner into accommodation?
1. What risks do learners take when accommodating? How do they feel? How can you overcome these problems?
Vygotsky’s socio-cultural theory of development
Unlike Piaget, Vygotsky argues that development is an ongoing process and through interactions with more expert others, people are able to perform at levels higher than their previously defined ability. Development is determined by the environment and the interactions that the child has with the environment. Children take in information from the environment and this information is already the result of societal development. This process of taking information in is called Internalisation .
Vygotsky (1978, 1987) identified a Zone of Proximal Development (the space between what a child can do at any time, on their own, and what they would be able to do in interaction with an adult. A major contribution of Vygotsky and theorists who followed him, like Leont’ev (1981), is that they recognized that development is mediated. The ways in which it is mediated include the tools or artifacts that are used as instruments for learning and development, the rules and conventions of the culture in which development is taking place, the overall community in which the development is taking place, the history of that culture and the ways in which previous tensions have been resolved, the important purposes and goals of activity in that community and the ways in which activity is organised.
The importance of the context for learning and development is receiving renewed attention in most theories, especially cognitive theory. It is now recognized that what we know and how we might represent that knowledge is strongly linked to the context of the learning or development. The kind of scaffolding that occurs in the Zone of Proximal Development is now also recognized as a powerful tool in facilitating learning.
Vygotsky (1987) proposed that complex thinking was socio-historically-derived, rather than being the product of individual biological development. He claimed that the structure of thinking, not just specific content, but the general structures of thinking ─ change in the course of historical development.
Social change has directionality, with existing knowledge being preceded by different forms (Vygotsky, 1987). So, for example, paper and pencil calculations preceded and provided a basis for the development and use of calculators (Scribner, 1985). Using examples of counting systems, which vary from culture to culture, it is possible to demonstrate that the innate attributes of individuals were transformed by the socially determined thinking processes required in these different forms of counting. Counting utilises artifacts and symbol systems that are culturally generated, and often are quite culturally specific. The particular requirements of counting systems are likely to determine the sophistication of the symbol system used in the counting procedure. For example, complex calculations in commerce led to the development of the abacus and techniques for using this artifact. Implements are used for determining measurements in other fields of activity such as yards of cloth, or distance in land. So the requirements for mathematics are socially determined as are mathematical processes and techniques.
Equally, knowledge about vocational practice also evolves over time. Take, for example, a physical tool, such as a hammer. The tool has quite different applications across a range of work practices and is dependent upon the requirements of that practice. Consequently, the hammer’s weight, design and use are different, say, for a carpenter and a glazier, or a blacksmith. The socio-historical development evident in these examples, can be extended to the development evident in the pneumatic nail gun of the carpenter, and the stapler-like action of the glazier's diamond gun. These evolving technologies have their origins in carpenters' and glaziers' practice, and can be understood through the historical progress of the tools.
However, the use of new tools is not dependent upon an understanding of the old tools, as the new tools bring with them sets of implicit understanding about the work they are to perform. Learning, within the Vygotskian view, is conceptualised as being associated with engagement in social and cultural activity, which links the evolving history of the species to individuals' histories, through the learning of culturally-generated knowledge. Therefore, the background of novice carpenters or glaziers merge with the evolving history of glazing and carpentry at a particular point in the individual's development. Novices bring with them different knowledge about or preference for glazing and carpentry. It is the intersection between the personal history of the socio-historically development of knowledge that is essential to construction of knowledge. There is also the suggestion that the understanding about this knowledge might be quite different as the individual’s interpretation of the knowledge they source in a particular context will be based on what they already know.
Central to the notion of a social-historical basis of knowledge is activity. Activities are the material product of socially-determined development. As the world is socially constructed, patterns of behaviour have their origins in social action and activities. So activity is central to a view of learning through social practice as it embodies practice and is embedded within social practice. Activities convey sets of norms and values that are then implicit in the social organisation of knowledge. Activity theory, as defined by Leontyev (1981), views cognitive and motivational processes as being embedded within larger activity structures whose goals they serve. The important point here is that activities are goal-directed. That is they engage individuals in problem-solving activities, hence learning.
Thus, activity leads to changes in individuals’ cognitive structures. Moreover, these activities are socially-structured.
Appropriation
“Individuals do not create their own speech or verbal meaning, but attain proficiency in the speech of others and use the designated value assigned to words” (Confrey, 1991:28). In this way, we appropriate socially generated knowledge, language, as well as values, thinking, and actions associated with its everyday use.
Reading would not be possible without social effort, without texts provided by other individuals and without a literate society in which there is material to read, a reason to read and a system to organise written material (Rogoff, 1990). An individual following instructions of another is also participating in a social practice. Furthermore, as a student who may be working alone and independently, you are participating in a socially-generated activity with guidance being provided by lecturers, perhaps by other students in study groups, family members, librarians and authors. Therefore, even the most apparently isolated activity is socially structured.
Knowledge is viewed as being initially generated between individuals, inter-personally or inter-psychologically, prior to becoming a component of individuals' knowledge. This close social guidance between individuals (or proximal guidance) is characterised by the parent/child, teacher/student or expert/novice relationship. This view led to the concept of Zone of Proximal Development (discussed earlier in this section), which suggest that individuals' development can be maximised through the close guidance of a more knowledgeable other (Vygotsky, 1978). The ‘experienced other’ provides scaffolding (Wertsch, 1985) which enhances the prospect of learning through a process of guided discovery. The intervention of the other extends the potential reach of learners' development, which on their own would not have been achieved.
Appropriation, from a Vygotskian view, is cognitive development through the 'internalisation' of socially derived norms and practices, through joint problem solving (Rogoff, 1990:150). Rogoff (1995) later argues that appropriation and internalisation are not synonymous. She suggests that internalisation implies the passing of external knowledge intact from the outside to the inside, whereas appropriation is premised on how individuals participate actively with, and interpret, external knowledge - "gaining facility in an activity" (1995, p. 15). This view emphasises that knowledge is not 'given', but is actively acquired, interpreted and represented by the individual. Yet, appropriation does not necessarily lead to identical understandings and organisation of knowledge (Newman, Griffin & Cole, 1989). It is likely that the basis of appropriated knowledge is the product of individuals' interpretation, which is itself a product of personal history or ontogenetic development.
Many of these socio-cultural ideas have come to be identified with ‘situated learning’ (Brown, Collins and Duguid, 1989) or learning that is situated in a particular activity system. Situated learning is based on assumptions that the particular situation is a means of allowing learners to access knowledge through engagement in activities that are authentic in terms of a particular socio-cultural context (see Brown, Collins & Duguid, 1989; Collins, Brown & Newman, 1989).
Vygotsky’s theory is often contrasted with Piaget’s theory because of the extent to which it emphasizes the role, for the individual’s development, of the environment and others in the environment. Vygotsky essentially argues that learning precedes and leads development, whilst Piaget argues that development must precede learning. Hence the most significant contention between these two theories is what a person is capable of achieving at various stages of development, and we can respond in the design of learning experiences.
Readings 2.2 & 2.3
Daniels, H. (2001) Vygotskian theory and education. Vygotsky and Pedagogy. New York: Routledge Farmer. Ch 2, 30-68.
Due to Copyright Licensing restrictions a print copy of this ebook cannot be supplied. A link is available on
Pass, S. (2004) The pedagogy if Piaget and Vygotsky were able to fully collaborate. Parallel Paths to Constructivism. Greenwich: Information Age Publishing. Ch 7, 103-117.
Topic 3: Cognitive Theories: Information Processing Model
Key ideas
In this topic you should develop an understanding of:
· Information processing theory (IPT)
· How IPT can be applied to understanding learning
Introduction
The information processing model is one way of explaining how mental processes operate. It is based on the idea that humans process information in meaningful ways through the development of cognitive structures and that learning revolves around the building of these structures. The information processing view of knowledge use and development emerged out of behavioral views. More than there being a simple stimulus response, it was believed that the mind processed stimuli and information. What is suggested is that response (R) to the stimulus (S) is mediated by the organism.
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Stimulus |
Organism |
Response |
This gives rise to questions such as:
· How do we receive and process information? How does information get into memory?
· What kinds of cognitive structures are stored in long term memory and how are they related?
· What happens in working memory?
So rather than human thinking and acting being a reflex or conditioned response, the individual processes the stimuli and determines their response. For instance, some individuals slow down when traffic lights change to amber, while others speed up, and this response might differ depending on whether the individual is in a hurry, has time, has been frustrated in their journey so far, etc.
The information processing perspective represents one way of viewing how input from one’s senses is processed in memory. In the diagram below, which is representative of this view, information processing begins with a stimulus that elicits an orienting response that focuses our attention on the stimulus. It is claimed that the stimulus or information is stored briefly in our Short Term Sensory Storage. It doesn’t leave a trace. If we do not pay any attention to the new information, it is forgotten. If we do pay attention to it, it moves to Short Term Memory (conscious memory) (e.g. remembering information long enough to write it down).
Model of Information Processing (Atkinson and Shiffrin, 1968)
If we rehearse information in short term memory (e.g. saying it repeatedly to ourselves) we can keep it there for longer and increase the chances of its being transferred to long term memory. For example, consider the drills used to learn mathematical tables. Storage in long term memory by encoding is the assignment of a code to information. This code may be linked to other codes for related information. For instance, the code for storing our idea of love may be associated with a code for different people whom we love. Mindless repetition, on its own, is inefficient in remembering, we need to consciously try to store the information.
Information in Long Term Memory is almost never forgotten; but we may be unable to retrieve it because of the way in which we search for it. Schemata (sometimes called schemas) are the abstract structures that represent the knowledge stored in memory. We have schemata underlying various concepts (e.g. furniture), or for ways of doing things (e.g. playing the piano, painting, hammering a nail).
Another approach has been the multi-store model of information processing which describes how information is processed and stored in three compartments. This model has developed over time.
Modelling working memory
Baddeley (2001) has put forward a model of working memory that includes a visuospatial sketchpad, phonological loop and episodic buffer. It also suggests relationships between short term and long term working memory in terms of fluid and crystallised knowledge and systems. When thinking about terms like short-term and long-term memory it is important to note that that these are not real partitions in the brain. Rather, they are models of how memory appears to function.
Attention
The factors that influence attention can be divided into external factors and internal factors. They include:
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External: |
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Intensity of stimulus |
(for sound, consider pitch, volume, pace...) |
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Novelty |
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Variety |
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Regularity |
(less attention to a regular stimulus than a distributed one) |
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Colours |
(infants pay more attention to colour than grey; adults pay more attention to red and white than black and white) |
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High sounds |
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Conditioned and habitual stimuli |
(e.g. if you hear someone in another group say your name, you are likely to hear it - the cocktail effect.) |
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Cueing |
(e.g. watch this! note that!) |
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Internal: |
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Interest |
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Deprivations |
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Fatigue |
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Arousal |
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Attention needs |
(curiosity, exploration, and manipulation) |
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The unexpected |
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Personality |
(extroverts need involuntary rest pauses to concentrate) |
Short-term memory capacity
The capacity of Short Term Memory for adults is only about 7 (5-9) chunks of information at any one time (Miller, 1956). (We can hold about 7 digits, 6 letters or 5 unrelated words.)
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Try to multiply 333 by 333 in your head. Most adults find it difficult to hold all the steps in mind even though each multiplication and addition for each step is easy. Why?
Try to remember the following numbers, one at a time: 6403951 111112222233333 583917426 1357246813572468 Which are hard/easy? Why?
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Capacity can be increased by chunking ,( i.e. grouping a number of pieces of information into a single unit). We then have fewer chunks to remember at the one time. Take the last string of numbers above. We can remember them as a series of odd numbers followed by a series of even numbers and then repeated once. So we can remember 16 (rather than 7) numbers in this way. This is the reason that mnemonics assist in learning new things. We only have to remember the mnemonic and this enables us to attach the target information.
Remembering by improving encoding
Information can be lost or forgotten if there is cognitive overload in Short Term Memory ( i.e. if we are trying to attend to too many things at once). If we rehearse information or encode it, it remains the focus of attention or is passed along to Long Term Memory. Two kinds of learning are often differentiated: rote learning and meaningful learning .
Rote learning is the rehearsal of information, over and over again, in order to try to remember it. (Can you still remember multiplication tables?) So, too, for skills. If we repeat them, over and over again, we eventually can accomplish them; and, at a later time, draw on long term memory to perform the same skill again.
Meaningful learning: Alternatively, we can try to enrich our memory codes and make our learning more meaningful. Below are some examples of how we can elaborate on information in order to remember it.
One way of doing this for verbal input is examine the meaning (or semantics) of the input.
Another is to elaborate (i.e. link the information to other information at the time of encoding in long term memory). For example, in learning about different kinds of knowledge in this course you might want to remember the difference between knowledge how (being able to do something) (Procedural Knowledge) and knowledge that (information and facts) (Declarative Knowledge) (see Topic 5 for definitions). In order to do this you may relate this difference to the difficulties that you, or others, have experienced in developing a certain skill. For instance, you may be able to describe the processes of performing the skill but be unable to perform it with the proficiency that you desire. Thus, you may remember the differences between 'knowledge how' (being able to do something) and 'knowledge that' (information and facts) by associating this difference with differences between people who can say how to do something and those who can actually do it. Some theorists also differentiate other kinds of knowledge that are thought to be represented in long term memory (e.g. knowledge when/if/why─ knowing when and how to apply the knowledge you have).
A further way is to create visual imagery to represent what we want to remember. In this case, it is thought that we form dual codes (semantic and visual). Either can be used for recall. So, to remember the differences between knowledge how and knowledge that, you may create an image which contrasts: an articulate person describing the principles of making money (such as a poorly dressed teacher in a classroom) and an inarticulate, but well-dressed, globe-trotting, Porsche-driving individual who actually knows how to make money but has difficulty in describing it.
Making material personally meaningful can also assist encoding. This is called self-referent encoding. If we find material personally meaningful (or if we try to relate it to important and meaningful aspects of our own personality or life) we can remember it better. So, if we are trying to remember the difference between knowledge that and knowledge how, we may relate it to personally meaningful challenges that we have experienced in developing a particular skill or trying to solve a difficult problem.
There is not agreement about the structure of memory or the nature of memorial structures. There are many theories that could be mentioned. One is Paivios’ (1986) theory of dual coding. This theory differentiates verbal codes from visual codes used to encode declarative information in memory. Tulving (1983, 2000) differentiates Semantic (meaning-referenced) representation of declarative knowledge versus (vs). Episodic (personal situation or time-referenced) representation. Some (e.g. Kosslyn, 1995) refer to Analogical (preserving the features, as in mental imagery) and Symbolic (use of symbols without clear resemblance to the information) kinds of representation.
Procedural knowledge is thought to be represented in memory as productions or condition-action sequences. They are thought to take the form:
Condition Action
If X, then, do Y.
While early cognitive theory spoke of stores and structures, it is now thought that this kind of architectural metaphor is misleading. Rather, memory seems to act through spreading activation between connected nodes. That is, activation in one node primes activation in another. For instance, the word bird may trigger the word duck or chicken. Or the word dentist may trigger all kinds of feelings. Based on this Connectionist model of memory, understanding resides in the connections among nodes. So one would expect connections among different botanical names for trees and their various features for an expert botanist. One of the appeals of connectionist theory is that it seems more compatible with contemporary ideas about the physical characteristics of the brain and its neurons.
Transfer
One of the reasons that cognitive theory is so powerful is that it helps to explain the phenomenon of transfer. By transfer is meant the ways in which prior learning helps in later situations. Cognitive explanations of transfer are concerned with explaining how different kinds of representations in memory assist transfer (e.g. how conceptual understanding helps in understanding new problems or how general problem solving procedural knowledge breaks down problems into more manageable parts).
Meaning
The idea of meaning can be approached from various perspectives (e.g. philosophy, sociology and psychology). Even psychological learning theories treat the idea of meaning differently. For some, meaning is in the cognitive representations that are stored in memory and how we use these to interpret new phenomena. This is a symbolic approach to understanding meaning. In other learning theories, meaning is in how we feel, what we value and what we do.
Metacognition
As mentioned in Topic 2, metacognition is defined as "cognition about cognition", or "knowing about knowing." It can take many forms and includes knowledge about when and how to use particular strategies for learning or for problem solving. Metacognition refers to a level of thinking that involves active control over the process of thinking that is used in learning situations. Planning the way to approach a learning task, monitoring comprehension, and evaluating the progress towards the completion of a task: these are skills that are metacognitive in their nature.
So we need an ‘executive’ function to oversee how we deal with information which involves both self-monitoring and self-regulation. Self-monitoring is an activity that helps us to keep track of our progress in understanding and remembering. In contrast, self-regulation is more a central executive control that comprises a set of specific functions that enable us to regulate our cognitive behaviour. Beven (2010) studied the central executive controls employed by students learning with hypermedia using a taxonomy (the practice and science of classification) of metacognitive activities developed by Meijer, Veenman and Van Hout Wolters (2006). The categories of metacognition within the taxonomy were: Orientation, Planning, Execution, Monitoring, Evaluation and Elaboration. Meijer et al. (2006) had initially used the taxonomy to examine students studying physics and history. Beven (2010) found that the categories were generalisable; that is, they applied across learning settings and he used them to study students engaged in learning in a range of vocational topics. Beven (2010) also found that successful hypermedia learners used these metacognitive activities in deliberate and effective ways to render this success.
Reading 3.1
Schunk, D. H. (2004) Information Processing. 4th edn. Learning Theories: An Educational Perspective. Upper Saddle River: Merrill. Ch 4, pp136-189.
Topic 4: Behavioural Theories of Learning and Development
Key ideas
In this topic you should develop an understanding of:
· Differences between operant and classical conditioning
· Behavioural approaches to learning and development
· The use of punishment and reinforcement in supporting learning and development
Introduction
Cognitive theories attempt to explain how learning involves changes to mental structures and schemas. An argument is often made that there is no method at which these structures can actually be observed, other than by causal relationship to expression through a person’s behaviours and actions. That is, defining learning is bounded by changes that are observable and measurable, often in the behaviours of the person. Cognitive theorists argue that behaviours are outward expressions of cognitive structures; that is changes in the mind create changes in behaviour. However, behaviourists tend to argue the counterpoint that changes to behaviours effect cognitive structures.
This topic explores ideas of behaviourism and theories proposed by behaviourist psychologists. The main theories explored are classical conditioning, largely attributed to Pavlov, and operant conditioning, attributed to Skinner. Behaviourism often provides the basis for a lot of teaching practice at it leads to conclusions around reward and punishment and how these can influence and change behaviour. In schools, ‘traditional’ discipline policies have tended towards these models, and likewise in higher and vocational education we have legacies of these ideas. Therefore a critical engagement with behaviourism is important in understanding not just how people learn and develop, but in understanding the design of schools and educational systems.
The key ideas of behaviourism are:
· Learning can only be observed to have occurred where it results in a change of behaviour.
· Therefore, outcomes of learning MUST be measurable behavioural changes.
· Changes of behaviour result from responses to stimuli in the external environment.
· Control of stimuli can shape behaviours and learning.
Watson: the ‘father’ of behaviourism
‘Psychology as the behaviorist views it is purely an objective experimental branch of natural science. Its theoretical goal is the prediction and control of behaviour.’
(John B. Watson, 1913)
John Watson argued in 1913 that psychologists should stop trying to understand thought through introspection, but rather focus on overt measurable behaviour, because this was more objective. Later on, he developed further Pavolov’s behavioural principles and introduced the term ‘behaviourism’ into US psychology. A new vocabulary emerged:
Sensation was re-defined as discrimination behaviour
Meaning was re-defined as what an organism does in a situation;
Learning was defined as the number of trials needed to achieve success on a task;
Thinking became electrical activity recorded from muscles; and
Awareness was re-defined as verbalisation of a rule or difference.
Watson and his colleague, Marjorie Rayner, developed a conditioned response in a small child called Albert. They showed Albert a white rat and, at the same time, made a loud frightening noise, behind Albert's head. After a number of instances, Albert began to cry as soon as he saw the white rat.
Weblink
This link is to a short video that shows Watson’s famous ‘Little Albert’ experiment. Have a look and consider the elements of conditioning and response.
Behaviourists explain this kind of learning as follows. The unconditioned stimulus (US) (the loud noise) led to an unconditioned response (UR) (Albert's crying). The rat became the conditioned stimulus, (CS) i.e. the object about which Albert learned to cry. Behaviourists discovered that Stimulus – Response (S-R) connections are more likely, the more frequently the S - R bond occurs. Watson concluded that through combinations of stimuli and responses you could make a person perform any range of behaviours and therefore learn new ways of acting.
Give me a dozen healthy infants, well-formed, and my own specified world to bring them up and I’ll guarantee to take any one at random and train him [ sic] to become any type of specialist I might select—doctor, lawyer, merchant-chief, and yes, even beggar man and thief, regardless of his [ sic] talents, penchants, tendencies, abilities, vocations, and race of his [ sic] ancestors.”
(John B. Watson, 1930)
Pavlov: Classical conditioning
Pavlov was of the belief that any perceived stimulus can be conditioned to any response that can be made, although his experiments had not originally intended to discover this outcome. He has become most famous through his experiments with dogs in the 1920s. In these experiments Pavlov attempted to show how through conditioning a dog was able to be taught to react to a stimulus in a way that was not a natural condition. That is, he taught dogs to be able to salivate upon hearing a bell sound; an abnormal reaction to this stimulus. Pavlov noticed that dogs began to salivate when they were presented with food. That is the presence of food produced a natural response of salivation. The dogs would be accustomed to hearing the researchers coming towards them, and Pavlov noticed that the dogs would begin to salivate in anticipation of the food. In bringing the food to the dogs Pavlov began to rings bells when the food was about to be presented. The dogs began to salivate in anticipation of the food when they heard the bells. Pavlov then removed the presentation of the food and noted that the dogs would salivate whenever they heard bells regardless of the presence of food. The dogs had become conditioned to respond (salivate) to a particular stimuli (ringing bells) in ways that previously did not exist. This is known as classical conditioning .
Weblink
This link is to a short video that explains Pavlov’s experiments with dogs. It highlights conditioning, but also the fading of this condition over time.
The following set of diagrams explains the process by which Pavlov came to understand classical conditioning.
Thus, after conditioning, the dogs learn to salivate (CR - conditioned response) to stimuli that previously would not have produced salivation (bells) (CS) (Conditioned Stimuli).
Text: Educational Psychology for Learning and Teaching, 158-189.
Skinner: Operant conditioning
While the basis for operant conditioning was established by others, B. F. Skinner is one of the most famous advocates. He thought that classical conditioning could account for very little of what humans learn and that we learn most things through the consequences of behaviour. He studied rats and pigeons in specially designed boxes with food that could be delivered by pressing a lever or pecking a disk. He found he could strengthen behaviours by positive consequences (e.g. delivery of food) and reduce behaviours by negative consequences (e.g. electric shocks). He found:
· Voluntary response was strengthened by reinforcement
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One could manipulate the environment to shape behaviour.
Skinner concluded that where there is a relationship between a response (R) and stimuli (S) that this relationship could be strengthened or weakened by the implementation of rewards and punishments. His approach used other reinforcements to enhance existing behaviours, rather than what Watson had aimed to achieve, which was to create new relationships and behaviours. Skinner would argue that:
The Response will be strengthened if the consequence is the provision of something positive (e.g. light or food) or the removal of something negative (e.g. electric shock).
The Response will be reduced if the consequence is the removal of something positive (e.g. light or food) or the addition of something negative (e.g. electric shock).
The terms reinforcement and punishment are used to describe these situations as follows:
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Behaviour is increased |
Behaviour is suppressed |
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Stimulus Presented |
Positive Reinforcement (e.g. giving a reward) |
Presentation Punishment (e.g. smacking children) |
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Stimulus Removed |
Negative Reinforcement (e.g. not having to do chores) |
Negative punishment (e.g. taking back prizes) |
In the above table the use of negative and positive are used to describe the giving or taking away of a stimulus, they are not values.
Weblink
This video explains Skinner’s experiments with pigeons leading to the idea of schedules of reinforcement.
Shaping and Extinction
Operant conditioning often requires considerable shaping of behaviour over time. For example in training a pigeon to dance, the shaping starts by providing a reward when one leg is lifted. Shaping is the reinforcement of approximate behaviours working towards the desired or target behaviour. The use of reinforcements and punishments assist to shape behaviours. For example, if the target behaviour for an employee is for increased sales of one particular product, rewards may be offered for each sale that is made, or for when the employee demonstrates a knowledge of this product. In addition the employee may be punished by reduced commission if targets are not met. Over time the employee shapes their behaviour towards the desirable outcome. The concept of shaping acknowledges that behavioural change takes time and is not something that occurs based on one reward or one punishment.
Extinction is the rate at which a response decreases as a result of non-reinforcement. In acknowledging that shaping a behaviour takes time, it is also acknowledged that without ongoing reinforcement behaviours will fade and become extinct. This was observed by Pavlov with his experiments with dogs. As he continued to ring the bells, without food being present, the dogs would begin to disassociate the stimulus and response and would stop salivating. Likewise, Skinner realised that there was a need for ongoing reinforcement of desired behaviours. However, Skinner also considered how often reinforcement needed to be given to maintain a certain behaviour. He questioned whether it was better to provide ongoing regular reinforcement at known times, or randomised reinforcement at unknown intervals. This led to his explanation of schedules of reinforcement to overcome the natural patterns of extinction. Skinner concluded that over time the period between reinforcement for a behaviour to remain grew such that the behaviour became more permanent.
Reading 4.2
Sturney, P. (2008) Operant Behaviour II: Satiation and deprivation, extinction, shaping, variability and punishment. Behavioural Case Formulation and Intervention: A Functional Analytic Approach. New York: John Wiley & Sons. Ch 5, pp79-98.
Due to Copyright Licensing restrictions a print copy of this ebook cannot be supplied. A link is available on your course site.
Schedules of reinforcement
Within schedules of reinforcement there are two discussed variables; timing (intermittent/variable v constant/fixed) and source (ratio/internal v interval/external). A ratio reinforcement is based on the number of times a behaviour occurs, and is considered to be internal to the behaviour. That is, if we wish to reinforce the eating of fruit we may choose to reward the person after they have 5 pieces of fruit. An interval reinforcement is after a pre-determined period of time and is external to the behaviour. Using the example above we may reward every 15 minutes if a piece of fruit has been eaten. An examination of schedules of reinforcement, begun by Skinner in the 1950s, suggests that variable reinforcement is more beneficial than constant reinforcement where behaviour has been established. However, constant reinforcement is beneficial when first teaching behaviour.
Schedules of reinforcement can be observed in the programming of poker/slot machines. The reward to the player comes at random points of activity and remains unknown. This creates a sense of achievement when the reward does come. It can be observed that when a player makes a jackpot they take note of what they were doing at the time and tend to repeat this behaviour. For example, a player may have been holding a red handkerchief at the time of the jackpot so they continue to hold it as they come to believe that this behaviour is what determines the luck of the jackpot. If there is a constant reinforcement of success whilst holding the red handkerchief the player comes to believe that this brings them some form of luck and reward. Once established, this belief and behaviour no longer requires the same reinforcement to perpetuate the idea. Reinforced over time, this behaviour becomes a superstition, whereby the player must always have the red handkerchief or they will not be lucky or successful. Despite this not actually always being the case, the reinforcement occurs often enough to perpetuate this belief.
These principles can be applied in the classroom. Some teachers ignore undesirable behaviour and reinforce desirable behaviour to handle problems. Other teachers use "Time Out" to weaken undesirable behaviour, which works by temporarily removing the person from reinforcing aspects of the environment. Likewise, within schools we have a range of punishments and rewards that aim to shape behaviour, such as tokens, certificates, detentions, and general praise by the teacher. Schedules of reinforcement have largely shaped teaching practices and responses to student conduct.
Reading 4.3
Text: Educational Psychology for Learning and Teaching, 169-183.
Topic 5: Social Theories of Learning
Key ideas
In this topic you should develop an understanding of:
· Bandura’s theories of learning and self-efficacy
· Humanist approaches and understandings of learning and development
· Ecological systems theory and how this can be used to better understand learners.
Introduction
This topic focuses on the area of learning theories that can be broadly categorised as social theories. This is not an entirely accurate description as theories discussed in this topic find origin in a number of other approaches. For example Bandura’s work originates from behaviourism, whilst Bronfenbrenner builds on socio-cultural and cognitive learning approaches, and humanist theories, whilst acknowledging the social, come from a different approach all together. The common thread across these theories, and why they are presented as part of the one topic, is that they all acknowledge that learning is not something that just occurs within the individual. Instead each theory considers the learner as part of a broader social network that shapes and influences their learning.
Social learning theory
Behaviourism, as expressed by Skinner, involved the direct relationship between a stimulus and behaviour, whereby the stimulus was something that directly related to the individual; for example, rewarding a child with a lolly for doing something good. However, this positioned the individual as somehow removed from the rest of society and solely motivated by personal benefit and gain. Albert Bandura (Bandura, Ross & Ross 1961, 1963a, 1963b) found that observing another person can also lead to a learned response; we will name this the Social Learning Theory (as opposed to social theories of learning, which is a more general term). That is we can learn behaviours not by personal reward or punishment but vicariously through observing others. For example, in a classroom a group of students are being disruptive and the teacher corrects one individual student identifying a punishment for that student. The other students also correct their behaviour by observing the outcomes for the other. This is also seen when a teacher says to one student to sit up straight and others, who were not spoken to, do so as well.
Bandura’s research involved children acquiring behaviour through watching a clown. They found that children were more aggressive after watching an aggressive clown playing with a toy, a film of an aggressive model or a cartoon depicting violence, than they were when viewing a non-aggressive model or no model at all. Zimmerman and Blotner (1979) found that children will persist longer with solving puzzles if they see a model work longer. Bandura & Menlove (1968) found that children can overcome fears (e.g. of dogs), by seeing other children play without fear.
Reading 5.1
Grusec, J. E. (1992) Social learning theory and developmental psychology: The legacies of Robert Sears and Albert Bandura. Developmental Psychology, 28(5) 776-786.
Due to Copyright Licensing restrictions a print copy of this ejournal article cannot be supplied. A link is available on your course site.
Observational learning
Observational learning is not so much a process of learning but an outcome of the combination of 4 key elements: attention, retention, reproduction and motivation. Social learning theory suggests through a combination of these elements people come to learn how to act and behave in particular contexts.
Attention
People like to imitate distinctive behaviour, or competence, or people of high status (e.g. being influenced by seeing a pop star, politician or wealthy individual smoke). We become attentive to the actions of the those around us, and that which we deem to be successful. For example, people dressing the same as the manager as they aspire to be accepted into that social space.
Retention
Behaviour and, possibly, why, how, when something is done is encoded. Encoding of behaviour may be visual or verbal. For example encoding a scene in a high class bar where well dressed high status people smoke as they drink cocktails; or encoding fun at the beach while drinking Coca Cola. Through this we come to learn appropriate and successful behaviour.
Reproduction
Reproduction is the capacity to repeat, and refine, appropriate behaviours in contexts. Much has been written in the area of reproduction theory, particularly work by Bourdieu, who argues that we come to learn the ‘rules of the game’ (i.e. how to act in society), and through reproducing these rules we can either succeed or fail in our ability to be part of the larger group. The challenge is that the rules are not perfect statements of success, so we need to refine behaviours based on feedback and responses.
Motivation
Motivation is a necessary component of learning as learning is effortful and requires energy to change. Motivation, within this theory, is supported by reinforcement and reward. Reinforcement may be direct, vicarious, or from oneself:
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Direct: |
Imitation is reinforced/punished by an external model or other |
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Vicarious: |
One anticipates a reward, rather than actually receiving a reward (e.g. observe others rewarded) |
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Self: |
Reinforcement is through meeting one's own personal standards. |
Weblink
The video at this link presents Bandura talking about one of his key experiments using a doll and modelling to observe children’s attitudes towards aggression and violence.
Self-Efficacy
The other important aspect of the Social Learning Theory is the concept of self-efficacy. Self-efficacy is related to, but different from, self-esteeem. Self-efficacy is the personal belief in being able to achieve and perform certain behaviours and tasks. Self-efficacy varies across contexts and experiences. So a person may have a strong self-efficacy in being able to perform well at studies in History or English, but not so in Mathematics and Science. It is often argued that we come to develop beliefs in our abilities that are reinforced over time, which prevent us from being able to perform in certain situations. For example, children who are not successful at school, as measured by the assessment pieces and reinforcement by teachers, can develop a belief that cannot succeed in formal education of any sort. Therefore, they do not undertake further study, react poorly to formalised training programs and claim that they only learn in particular ways. Their actual ability to succeed in the classroom may be hidden behind a belief of failure. Bandura argues that self-efficacy is an important aspect of a student’s capacity to learn and perform.
Reading 5.2
Bandura, A. (1977) Self-efficacy: Toward a unifying theory of behavioural change. Psychological Review, 84(2), 191-215.
Due to Copyright Licensing restrictions a print copy of this ejournal article cannot be supplied. A link is available on yourcourse site.
Humanistic theories
Humanistic theories are concerned with the need to focus on the social and emotional development of learners and not just on their cognitive development. In thinking about humanistic theories you might consider the following questions:
· Should teaching and learning be concerned only with behaviour or should it also be concerned with emotions, personality, feelings, desires, individual needs and attitudes?
· What kinds of goals and needs do humans have and what are the relationships among them?
· How does individual learning relate to these goals and needs?
· How does teaching in schools and other settings relate to these goals and needs?
· What are the implications for teaching and learning in your area?
The principles underlying the humanist tradition in education come from work in the area of clinical psychology and counselling. It is called humanist because its primary focus is the inner thoughts, feelings, psychological needs and emotions of the individual learner. Consider Maslow’s hierarchy of psychological needs as in the diagram below.
At the bottom of the hierarchy are basic needs for food, shelter and security; at the top are cognitive, aesthetic and self-fulfilment needs. The theory proposes that we have to meet our needs at any one of the lower levels before we become interested in meeting our needs at higher levels. For example, in wartime, we are more concerned about shelter and food than about opera. When our meta-needs are met, the need for higher levels of self-fulfilment grows stronger (e.g. the more knowledge we have, the more we want). Unlike Freud, Maslow believed that the direction of our energy is not simply to satisfy our basic needs (Id), but a striving for "self-actualisation".
Weblink
Maslow wrote about his theory of needs, as points of motivation to learn, in 1943. The following link is to a reproduction of Maslow’s original work that provides insight into this theoretical position.
http://psychclassics.yorku.ca/Maslow/motivation.htm
Carl Rogers
Humanism is concerned with how affective (emotional and interpersonal) aspects of behaviour influence learning. Rogers (1983) argued that too many students, in conventional school classes, have learned:
1. There is no place for restless energy in class.
2. One must conform or suffer unpleasant consequences.
3. Submission to rules is expected.
4. Making a mistake is bad.
5. Punishment for mistakes is humiliating.
6. Spontaneous interest does not belong in school.
7. Teacher and disciplinarian are synonymous.
8. School on the whole is unpleasant.
9. Most textbooks are boring.
10. It is not safe to differ from teachers.
11. There are many ways to get by without studying.
12. It is OK to cheat.
13. Daydreams and fantasies make the day pass quickly.
14. Peers frown on hard study to get good grades.
15. Most life-relevant learning occurs outside school.
16. Original ideas have no place in school.
17. Exams and grades are the most important aspects of education.
18. Most teachers (at least in class) are impersonal and boring.
In seeking to redress these beliefs, Rogers (1979, 1983) proposed 10 principles:
1. Humans have a natural propensity for learning.
2. Significant learning occurs when students perceive subject matter relevant to their own purposes.
3. Learning which changes self perception is threatening and tends to be resisted.
4. Self-threatening learnings are more easily perceived and assimilated when there are minimal external threats.
5. When self-threat is low, experience can be perceived in a differentiated fashion and learning can proceed.
6. Much significant learning occurs through doing.
7. Learning is facilitated when the student participates responsibly in learning process.
8. Self-initiated learning that involves the whole person (feelings as well as intellect) is the most lasting and pervasive.
9. Independence, creativity and self-reliance are facilitated when self-criticism and self-evaluation are basic, and evaluation by others is of secondary importance.
10. Most socially useful learning in the modern world is learning of the process of learning, continuing openness to experience, and incorporation into oneself of the process of change.
Reading 5.3
Text: Educational Psychology for Learning and Teaching, pp236-260.
Some collated principles of humanistic education
Self-direction
· Learning occurs only if it satisfies some need, want, curiosity, fantasy.
· Learning is best developed from intrinsic motivation, exploratory drive, or curiosity.
Wanting & knowing how to learn
· Teachers should shift the burden of pursuing one's own education to the individual (but rote learning works).
· Assigning grades is irrelevant and humiliating; and causes children to work for grades.
· Students should take responsibility for setting criteria and goals, and assessing progress toward them.
· One should avoid psychological violence (Turning away from feelings, emotions, and fantasy to pursue "knowledge").
· Learners should personally discover meaning - personal meanings and feelings about objects, events, and knowledge.
· Learning settings should not humiliate, ridicule, devalue, scorn, or involve contempt.
Ecological systems theory
Ecological systems theory is based on the work of Urie Bronfenbrenner who proposed the idea of considering human development as being the result of complex relationships with systems of society and humanity. His theory has origins in concepts of socio-cultural learning theory, but he extends these concepts to framing the human as being surrounded by multiple systems of influence. Most closely related to the individual is the microsystem. Within this system as relationships and interactions that are immediate and familiar with the individual; for example, family, school, and friends. Relationships can exist between these immediate agents, such as parents with school, friends associated with other friends, and these relationships can shape the individual. This system of interactions between the agents in the microsystem is known as the mesosystem.
These agents (family, friends, etc) also exist in other systems (e.g. parents work, friends have their own families), and these systems have a bearing on how these agents interact with the individual (e.g. a parent’s work may prevent them spending time with their children). This system of ‘secondary’ interactions (as viewed by the individual) is referred to as the exosystem. The exosystem is shaped by a further external system, the macrosystem, which structures society at large. Within the macrosystem cultural institutions such as government, churches, and society, create the domains in which the other activities exist. Laws made about workplaces impact on the capacity of a parent to work and what impact this has on the development of the child. This model is located in and changes with time. The laws and customs that existed a generation ago are different to what we experience now. So the complex relationships across the systems need to be considered also across time, this layer of relationship is known as the chronosystem.
Such a model challenges the teacher to consider the multiple influences on a child and to position themselves alongside these influences. It also advocates for teachers to be active in shaping the other systems so as to have more positive impacts on the learner.
Source: Berk & Roberts (2009)
Reading 5.4
Bronfenbrenner, U. (1977) Toward an experimental ecology of human development. American Psychologist, 32(7), 513-531.
Due to Copyright Licensing restrictions a print copy of this ejournal article cannot be supplied. A link is available on your course site.
Activity
Have a look at http://youtu.be/LfO9QQA_ZiU. This video is from a fictional television show about the experiences in a school. This video focuses on one student, Jonah. As you look at this video consider how the various theories presented in this topic can be applied to analysing his behaviour and responses by the teachers. Write a short explanation of the application of the theories. WARNING: This video contains offensive language.
Topic 6: Adults as learners
Key Ideas
In this topic you should develop an understanding of:
· Principles and critiques of adult learning theory
· The application of theories of learning and development to adult learners
· Implications of learning theories on approaches to adult learning
Introduction
The characteristics of adult learners and the ways in which effective learning strategies may differ between adolescents and adult learners are outlined in this material. There are views that adults learn in different ways from children and young adolescents. However, our understanding of how adults learn is far from complete and there is a variety of theoretical perspectives. Nevertheless, there is sufficient agreement to be able to summarise general characteristics of adult learners and to begin considering the instructional implications for vocational and community education and training, although, as Tennant (1986) advocates, we need to keep our perspectives under review through critical reflection.
When considering adult learning within this topic a broad understanding of this idea is adopted. Adults learn in a variety of settings and experiences which span across the workplace, formal educational settings and in every-day life. Adult learning is different to lifelong learning; however there is some overlap in these ideas. Life-long learning is an argued idea that asserts learning is found in all forms of life and that over our entire lifespan we learn and develop in myriad of ways. This concept challenges the construct of learning being located within just the formalised experience of the classroom, contesting that in a range of other ways, especially in the practices of life and the workplace, learning can also occur. There is some distinction that should also be made between ‘emerging’ adults and ‘experienced’ adults. The following section explains this distinction further, but aids in developing a better understanding of the application of adult learning ideas.
Emerging adulthood
Within the law, education, health and other parts of society much debate is had around when a person becomes an adult. Under law the definition, in most parts of Australia, is that a person becomes an adult at 18 years of age. However, such an age boundary is arbitrary. Legally there has been the development of the idea of a ‘young person’ who is neither a child nor an adult. An application of Piaget’s stages contests that a person becomes an adult learner much earlier than 18 years of age, but others suggest that adolescence extends beyond this age. Arnett (2000, p. 470) argues that there is a distinct stage of development between 18 and 25, which he calls ‘ emerging adulthood’. He relates this to Erikson’s (1968) ideas of prolonged adolescence and the ‘ psychosocial moratorium’ granted to young people in such societies “during which the young adult through free role experimentation may find a niche in some section of [their] society” (p.156)’. He argues that such a stage can be supported by its distinctiveness, emographically, subjectively and in terms of identity explorations. He relates his conception of this stage to the situation of young people in contemporary society. Such an idea is also supported by biological evidence[footnoteRef:1] that suggests that pubescant changes do not complete until into the early 20’s, with, for example, the brain not being fully developed as an adult brain until this age period. Research suggests, therefore, that there may exist a period of learning and development that cannot be classed as either child or adult. This is of particular interest to teachers involved in higher and vocational education where there is involvement of large numbers of students that fall within the period of development referred to as ‘emerging adulthood’. [1: http://hrweb.mit.edu/worklife/youngadult/brain.html]
Andragogy and pedagogy
Some of the literature on adult learning suggests that adults learn in different ways from students in school and are motivated by different factors. Knowles (1970, 1975) takes a humanist orientation in adult learning. He holds the view that adults prefer more self-directedness in their learning and learn more efficiently through experimental techniques. Knowles drew attention particularly to the pro-active role of the adult learner and the importance of self-esteem, self-directedness and self-control for adult learners. As such, Knowles’ theory can been seen as a stage theory, albeit one based on a difference in social experience and expectation─ that is, differences in preferences and a basis for autonomous activities between children and adults.
Knowles (1970, 1975, and 1980) differentiated pedagogy from andragogy by referring to pedagogy (concerned with children’s learning) as a content model of learning and andragogy (concerned with adult’s learning) as a process model (see Table Models of Learning –Assumptions below). Knowles himself recognised that andragogy and pedagogy were not child/adult dichotomies, but drew attention particularly to the prior knowledge and pro-active role of the adult learner and the need for learning processes to facilitate this.
Models of Learning – Assumptions (Knowles, 1992)
|
About |
Pedagogical |
Andragogical |
|
Concept of the learner |
Dependent personality |
Increasingly self-directing |
|
Role of learners’ experience |
To be built on more than used as a resource |
A rich resource for learning by self and others |
|
Readiness to learn |
Uniform by age-level and curriculum |
Develops from life tasks and problems |
|
Orientation to learning |
Subject-centred |
Task- or problem-centred |
|
Motivation |
By external rewards and punishment |
By internal incentives, curiosity |
According to Knowles (1980), adult learning environments are characterised by mutual trust and respect, acceptance of differences and sharing of responsibility among students and teacher (see Table Models of Learning: Process Elements below). Therefore, we expect that both student-student and teacher-student collaboration are important relationships in such classroom environments.
In the past, work was undertaken in the Centre for Learning and Work Research at into adult learning environments. For instance, McKavanagh and Stevenson (1994) designed and validated a training environment questionnaire which is able to measure the extent to which adult classrooms exhibit many aspects of adult learning principles. Conti (1979) provides a simple checklist, which enables adult educators to gauge their own orientation to collaborative aspects of classrooms.
Models of Learning: Process Elements (Modified from Knowles, 1992)
|
Elements |
Pedagogical |
Andragogical |
|
Climate Learning Orienation |
Tense, low trust, formal, cold, aloof, authority-oriented, competitive, judgmental |
Relaxed, trusting, mutually respectful, informal, warm collaborative, supportive |
|
Planning |
Primarily by teacher |
Mutually by learners and facilitator |
|
Diagnosis of needs |
Primarily by teacher |
By mutual assessment |
|
Setting of objectives |
Primarily by teacher |
By mutual negotiation |
|
Designing learning plans |
Teachers' content plans Course Syllabus Logical sequence |
Learning contracts Learning projects Sequenced by readiness |
|
Learning activities |
Transmittal techniques Assigned readings |
Transmittal techniques Inquiry projects Independent study Experimental techniques |
|
Evaluation |
By teacher experts. Criterion-referenced Norm-referenced (on a curve), with grades |
By learner-collected evidence validated by peers, facilitators, experts Criterion-referenced |
Because adults learn differently from children, it follows that they should be treated differently in classrooms and other learning environments. For example, Candy (1987) suggests that adult learners should be encouraged to direct their own learning, to learn how to learn and to continue learning throughout life.
The role of facilitator is to encourage:
· self-directed inquiry,
· learning how to learn, and
· continuing life-long learning.
Reading 6.1
Glicken, A. D. (2004). Becoming an effective teacher: Applied principles of adult learning. Journal of Veterinary Medical Education, 31(3), 268-272.
Criticism of Knowles
There has been much criticism of Knowles’ concept of adults as being somehow different as learners to children. Amongst others, Tennant (1986) questions the individualist ideology that underpins andragogy. He also criticises the status of Knowles’ concept of adult self-actualization as an adeqaute description and explanation of behaviour, as he believes andragogy does not adequately differentiate the need for self directedness and the ability for it. He also questions the validity of differentiations between children and adults in terms of dependency, experience, readiness, orientation to learning and motivation.
Reading 6.2
Tennant, M. (1986). An evaluation of Knowles’ theory of adult learning. International Journal of Lifelong Education, 5(2), 113-122.
Situated and workplace learning
Any discussion of adult learning has to account for learning that occurs in practice settings and the workplace. When considering the learning of an apprentice, a percentage of time is spent learning in formalised classrooms, but a larger percentage is spent learning in and through practice. Even within the formalised classroom of the apprentice approaches to learning are often grounded in practice-oriented pedagogies. Situated pedagogy is located in a tradition of thought that finds origins in the philosophy of John Dewey[footnoteRef:2], in the late 19th and early 20th century, who advocated for experienced based education. Situated pedagogy is closely aligned with socio-cultural approaches to learning and activity theory, coming from Russian psychologists such as Vygotsky and Leontev. The construct of situated learning begins to reconcile the experience of learners as learning through authentic experience. [2: See for example: Experience and Education (1938), available at http://www.schoolofeducators.com/wp-content/uploads/2011/12/EXPERIENCE-EDUCATION-JOHN-DEWEY.pdf]
Reading 6.3
Billett, S. (1996). Situated learning: Bridging sociocultural and cognitive theorising. Learning and Instruction, 6(3), 263-280.
Due to Copyright Licensing restrictions a print copy of this ejournal article cannot be supplied. A link is available on your course site.
Underlying the discussion of learning, with adults and the workplace, is the competing rhetoric of ‘formal’ v ‘informal’ learning or ‘academic’ v ‘practice-based’ that positions one form of learning (i.e. classroom based) as superior to another (i.e. within practice). Unpacking learning for adults requires confrontation of these ideas and challenges to understand how new ways of understanding learning can be formed. The following weblink is to a copy of a book chapter written by Stephen Billett around this area of terminology. It opens a discussion around what constitutes and is accepted as education and learning and what has been excluded in previous discourses of learning. The reading, also by Stephen Billett, proposes a new way of conceptualising professional learning using a concept termed ‘mimesis’. This theoretical argument proposes that we learn through observation and replication of the practices of others. It challenges current approaches to teaching and learning normally framed within the ‘formal’ classroom and curriculum
Weblink
Billett (2001) critiquing workplace learning discourses: participation and continuity at work.
http://www.infed.org/archives/e-texts/billett_workplace_learning.htm
Reading 6.4
Billett, S (2014 in press) Mimetic learning at work: Learning through and across professional working lives i n Section 3, International Handbook of Research in Professional and Practice-based Learning (Eds) Billett, S., Harteis, C & Gruber, H. Springer, Dordrecht, The Netherlands. (17 pages)
Conclusion
In current times, the definitions of what constitutes adulthood, childhood, and transitions between them are difficult to define generally, and the boundaries between them are elusive. These aspects of human development vary from individual to individual and from culture to culture.
Overall, while there is not total agreement on how adults learn, there are some well established views that adults learn differently from children. Adults seem to be capable of more self-directedness and learn more efficiently through experimental techniques. However, there is a concern that by emphasising a protectiveness about adults’ self esteem and prior knowledge, this may tend towards them engaging in assimilation rather than accommodation. Nevertheless it is generally agreed that teaching in adult learning environments needs to be governed by a different set of principles than for children. In particular, adult classrooms should involve collaboration and support for learners pursuing their own goals.
However, alternate views suggest that all the qualities which Knowles claims distinguishes adult learners are equally (if not more) applicable to children. Children are far from being passive learners. They learn usually quite independently many of the skills required to be successful in school, before they reach school, in a period of learning which has been described as being spectacular. Also, they have concerns about their self-concept. So perhaps Knowles’ characteristics apply to all learners. But they may apply in different ways. For instance, the interests, motivations and preferences of adults may be quite different (see Tennant, 1997 (text) and Tennant, 1986 (Reading 1.5)). Adults are pro-active and there is a need to protect their self-esteem, but then so are children, particular adolescents. Learning processes are important and adults need to be provided with structure and support, especially when confronted by changing values and belief systems. The same applies to children. Relationships are also important in learning and there is a need to nurture self-directedness and empowerment, fostering critical reflection, respect and collaboration.
Topic 7: Designing for effective learning
Key Ideas
In this topic you should develop an understanding of:
· Principles and practices in the design of learning opportunities
· Expertise and its application in adult learning
Introduction
The idea of instructional design aims to develop a set of approaches that can maximise learning outcomes for students. Design principles are usually based upon learning and development theory, interpreted through the lens of technology and the context and environment of the learning situation. Mishra and Keohler (2008) proposed the idea of quality teaching occurring at the junction between technical, pedagogical and content knowledge. That is effective teaching needs to account for what needs to be learning, how best to teach that idea, and what tools are available to support this learning. For example, the teaching of multiplication is different to the teaching of literary inquiry; hence the pedagogical approaches available to each of these are shaped by the content. Likewise, the capacity of technology (in its broadest sense) can shape how to execute these pedagogies; is it effective to use computer-based software to teach multiplication? Is such software easily available?
Reading 7.1
Mishra, P. & Koehler, M. (2006) Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017–1054.
Designing for learning
Arguments have developed around the best models and approaches to learning. Developing from Mishra and Koehler it could be concluded that particular models fit particular contexts and learning. However, there must be, within this inconclusive conclusion, consideration of various elements that can inform the decisions that are made around approaches to learning. Two of these elements are the concept of expertise and how this is understood and experienced, particularly in the vocational and professional setting, and the application of theory to develop effective design. The following sections touch on each of these elements with some supporting reading and material. It is not intended that presents a comprehensive review of an area that is very extensive, but that there are some starting points for thinking and reflection.
Expertise
It is a reasonable assertion to make that educating adults, and in vocational education settings, aspires to develop experts in particular areas. Expertise is a term that is used in many different ways and can be understood in varying forms. Some define an expert as a person that is highly accomplished at a particular task or area; for example a mechanic can be said to have expertise on the repair of Ford engines. However, such an understanding is also claimed to be what we may call a specialist. Expertise is also argued to have two more characteristics that may (or may not) be evident with the mechanic; namely, transferability of skills, and intuition and autonomous decision making. Using the example of the mechanic, they may have a specialist knowledge of repairing Ford engines, but does this knowledge translate across different models of Fords, or to different makes of cars, such a Holden or Toyota. Likewise, is this ‘expertise’ grounded in a strong procedural knowledge of the repair of Ford engines, or is there an appreciation of the nuanced nature of practice and problem solving that exists in these situations.
Suppose we want to design instruction in order to develop technical expertise. Using ideas such as those outlined above, technical expertise could be defined (Stevenson, 1994) as the ability:
· to perform routine technical skills,
· to generate skilled performance as technical tasks become complex and as situations and processes change,
· to reason and solve technical problems,
· to be strategic,
· to innovate, and
· to adapt.
That is, technical expertise could be defined to include not only automatic expert performance of routine skills, but also the ability to transfer one’s technical ability to new circumstances.
The following reading describes a model of expertise development and mapping, and works by these authors are often referenced as key pieces of research in this field.
Reading 7.2
Dreyfus, H. L., & Dreyfus, S. E. (2005). Peripheral Vision: Expertise in Real World Contexts. Organization Studies, 26(5), 779-792.
Applying learning theories
A long debate has been had between proponents of different approaches to learning. Generally these debates have been framed between instruction-focused and student-centered approaches to learning, each finding roots in the various theories explored previously in this course.
The following combination of papers highlights this debate. The first paper, by Kirschner, Sweller and Clark, argues against the adoption of minimal guidance teaching, usually expressed through problem-based learning. These authors come from a cognitive psychology background with tendencies towards information processing theory. Sweller, in particular, is famous for his work in the area of cognitive load. The second paper is a critical response to the first paper. It argues in favour of problem-based inquiry and challenges some of the arguments made in the first paper. If you search the journal in which these papers are published there are several other papers in a continued debate around these ideas.
As you read these papers consider your viewpoint and experience and draft how you would respond to the arguments presented.
Readings 7.3 & 7.4
Kirschner, P., Sweller, J. & Clark, R. (2006) Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Education Psychologist, 41(2), 75-86.
Hmelo-Silver, C., Golan Duncan, R., & Chinn, C. (2007) Scaffolding and achievement in problem-based learning: A response to Kirschner, Sweller and Clark (2006). Educational Psychologist, 42(2), 99-107.
Instructional design based on cognitive apprenticeship
Collins, Brown & Newman (1989) claim that effective learning takes place through situated activity using:
· The physical environment and the task it provides;
· The co-operative construction of knowledge among groups, undertaking common tasks; and
· A culture of a specific community (Brown, Collins & Duguid, 1989).
Communities that shape our understanding are not remote. They are the communities that we participate in, such as the home, workplace or social club. Each of these communities has practices through which everyday participation can result in the development of knowledge. Apprentices learn through observation, coaching, and practice (i.e. teacher modelling, coaching and fading). This develops self-monitoring and self-correction skills and an integration of skills and conceptual knowledge. Collins, Brown & Newman (1989) studied the benefits of apprenticeship learning of physical skills and proposed a framework for designing learning environments. Collins et al. draw on Palincsar and Brown's (1984) model of teaching reading which centres on modelling and coaching students in four strategic skills:
· formulating questions based on the text,
· summarizing the text,
· making predictions about what will come next, and
· clarifying difficulties with the text. They also draw on Scardamalia and Bereiter's (1985) approach to the teaching of writing which involves procedural facilitation through breaking planning into five processes or goals: generating a new idea, improving an idea, elaborating an idea, identifying goals, and putting goals into a cohesive whole. In both cases, use is made of modeling, coaching, scaffolding and fading.
Finally they draw on Schoenfeld's (1985, 1994) method for teaching mathematical problem-solving. Schoenfeld formulated a set of heuristic strategies (derived from Polya, 1945). Schoenfeld also identified the role of control strategies and belief systems. Control strategies are concerned with executive decisions such as generating alternative courses of action, evaluating which will get you closer to a solution, evaluating which you will most likely able to carry out, and considering which heuristics might apply, evaluating whether you are making progress and so on. His notion of belief systems includes beliefs about oneself, about the world and about the domain.
The suggested framework from Collins, Brown and Newman (1989) may be summarised as in the following table:
|
Content |
Methods |
|
Domain knowledge Heuristic strategies Control strategies Learning strategies |
Modelling Coaching Scaffolding and fading Articulation Reflection Exploration |
|
Sequence |
Sociology |
|
Increasing complexity Increasing diversity Global before local |
Situated learning Culture of expert practice Intrinsic motivation Exploiting cooperation Exploring competition |
Reading 7.5
Brown, J., Collins, A., & Duguid, P. (1989) Situated cognition and the culture of learning. Educational Researcher, 18, 32-42.
Psychoanalytic
Behavioural Learning Theories
Psychosexual Theory (Freud)
Psychosocial Theory (Erickson)
Attachment Theory (Bowlby)
Cognitive development theory
Cognitive- constructivism (Piaget)
Information Processing Theory
Socio-cultural theory (Vygotsky)
Classical conditioning (Watson)
Operant conditioning (Skinner)
Social cognitive Theory (Bandura)
Development Psychology
Humanist Learning Theories
Experiential learning (Kolb)
Hierarchy of Needs (Maslow)
Theory of the Self (Rogers)
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