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Review the findings of your colleagues and address the following prompts:

1. Explain comparisons and trends that might exist among the key findings.

1. Explain which key findings might be in contrast with each other and why.

1. Explain how and/or why one key finding might be impacting (either positively or negatively) the successfulness of another data set.

1. Explain what might be the greatest strength of the program, as well as what might be the most important area for which the program needs to improve and why.

1. Explain how these major findings might be perceived across stakeholder groups and why.

Revisit this Discussion Board throughout Week 7 to collaborate with colleagues by responding to their posts. Work with colleagues to synthesizing the groups insights into one cohesive evaluation. which details the quality and effectiveness of the program. Note what you have learned and/or any insights you have gained as a result of the comments your colleagues made and the connections you have made with the Learning Resources.

Support your comments with in-text citations and references following the APA style guide.

Kelli Barnes

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Step 3: Aggregate the Data

In the profession of education, data is a constant element in each area, no matter the specialization. Whether it is a teacher collecting data on his or her students, an administrator comparing school wide test scores, a parent survey that reveals telling telling for the outcome of a school, or a system's collection of information on teacher, data is everywhere. It is no different with the case of Connor Street. However, data must be utilized effeciently and appropriately to yield positive change (Dykes, 2016). After reviewing the findings of my colleagues and the evaluation tools they selected, there are clear similarities and differences. Overall postive ratings seemed to be similar. Overseeing behavior management seemed to be a strength that was recorded quite often. This in turn led to reliable data that was collected using different tools discussed. Behavior management is a foundational necessity for the success of any early childhood program (McNaughton, 1994). In addition, subject areas were included to build upon reading and math skills, while fostering developmental skills such as emotional and social well-being through interactive play. While behavior management was a stregnth, there were some differences with the weaknesses observed. Personally, I found that there was a need for improvement of professional learning for teachers to better qualify their staff, as this was a lower scored rating. In addition, accomplishing a goal of incorporating families more was a need. Although students were engaged in interactive play in the classroom, there was a strong defecit in the family inlvolvement. Sylvia Wong, Family Services Manager of Hopeful Beginnings Program ,stated that families do not prioritize this socialization with their children due to schedules or lack of involvement (Early Childhood National Centers, n.d.). Unfortunately, this is becoming a more observed occurrence in programs across the nation.

The overseeing of behavior management does prove to be a successful component and strength of Connor Street. However, inlvolving and supporting families would be a improvement that could potentially yield outstanding results for children and their families. As data is collected from from area, it can affect others. For example, supporting family involvement and retrieving positive data could potenitally influence positive results for student achievement. In addition to supporting the emotional and social well-being of families and their children, supporting taching staff with additional training would be vital for the program's continued success!

References

Early Childhood National Centers. (n.d.). Parent, family and community engagement framework for early childhood systems. Early Childhood National Centers

Dykes, B. (2016, March 31). Data storytelling: The essential data science skill everyone needs. Forbes. https://www.forbes.com/sites/brentdykes/2016/03/31/data-storytelling-the- essential-data-science-skill-everyone-needs/#63d7604352ad

McNaughton D. Measuring Parent Satisfaction with Early Childhood Intervention Programs. Topics in Early Childhood Special Education. 1994;14(1):26-48. doi:10.1177/027112149401400106

Elizabeth Bell

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Step 3: Aggregate the Data

To make sense of the data it has to be analyzed (Dykes, 2016). It helps in this process to first organize your data through aggregating, which involves linking comparable data from several sources and disaggregating which is summarizing the data and breaking it into parts.

After reading over the Connor Street evaluations and each of my fellow teacher leaders' remarks I will attempt to summarize my findings. Some of the Connor streets comparisons and trends as weaknesses were a continued need for more professional development, staff qualifications, program planning, improved language modeling for dual language learners, along with improved staff connections with families to community services. Some of the program's comparisons and trends as strengths were behavior management, and assessments. Stakeholders would be pleased with the behavior management but would want the program to improve their staff qualifications and family connections to the community.

References