Discussion Social Media
2
AI Prompting Strategies for Professional Communication
Your Name
Your Institution
Course Name and Number
Instructor Name
Due Date
AI Prompting Strategies for Professional Communication
Audience and Purpose
My audience are early career professionals who have already started using AI tools in an unstimulated way, but have not yet been taught how to use AI prompts with purpose. My goal in this presentation is to demonstrate that treating AI prompting as a communication skill and not a technical skill leads to more professional, faster, and accurate results in the workplace.
Three Audience Questions
1. Why is it important for professional output that you're prompt?
2. What are some specific techniques that can make a prompt more effective?
3. How can such techniques be used in real life situations, such as emails, reports, and presentations in the workplace?
Two Professional Sources
The first is Knoth et al. (2024), a peer-reviewed paper in Computers and Education: Artificial Intelligence which suggests that the quality of prompt-engineering is directly linked to the quality of the AI output; and that there is a learnable skill of structured, literate prompting rather than an innate talent. This is a suitable source because it provides empirical, current (2024) evidence which is directly relevant to my purpose to demonstrate prompting is a teachable communication competency.
The second is Bozkurt's (2024) Open Praxis publication, which discusses prompt engineering as a communication strategy and technical skill, and presents a set of principles (context-setting, specificity, iterative refinement) for designing effective prompts. This source is suitable because it presents the findings of the research in a practical framework that my audience can use in their everyday practice.
One Slide (Title + List)
Title: "Why Prompting Is a Communication Skill"
Knoth et al. (2024) identified the following factors to consider for prompt quality:
1. Providing clear context
2. Using specific, well-structured instructions
3. Measuring and improving output with AI literacy
References
Bozkurt, A. (2024). Tell me your prompts and I will make them true: The alchemy of prompt engineering and generative AI. Open Praxis, 16(2), 111–118. https://doi.org/10.55982/openpraxis.16.2.661
Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024). AI literacy and its implications for prompt engineering strategies. Computers and Education: Artificial Intelligence, 6, 100225. https://doi.org/10.1016/j.caeai.2024.100225