Jenny Roach, MBA and MLS candidate, presented at the QM Research Connect conference on “AI, Prompt Writing, and Instructional Design: An Ethics-Focused Overview.” Roach spoke about AI being “here” and AI-assisted creativity being a skill. Roach shared the Hierarchical Layers of Knowledge (DIKW Pyramid): data, information, knowledge, and wisdom. AI can support the progression at every stage, noted Roach. AI in education can facilitate personalized learning, mobile learning, gamification, and blended learning. Adaptive Learning Systems can provide instant feedback. Roach shared examples of studies that support multi-modal AI for instructional design. AI-assisted content generation can be used to help draft content. In education and instructional design, there are myths and misconceptions, explained Roach. While AI can automate tasks, AI will not replace all human jobs. AI can simplify complex pools of data to help people analyze more deeply. Roach shared ways to mitigate AI hallucinations. Prompt refinement and feedback can help improve the models and tools. AI prompts need specificity, clarity, and structure. Roach shared five key components of good prompts: context, task, output type, tone & style, and constraints & rules. Another intriguing approach shared is the use of personas/roles. Additionally, there are frameworks for advance AI prompting: Chain-of-thought (CoT), “CLEAR” Framework (Conciseness, Logic, Explicitness, Adaptability, and Reflectiveness). Roach ended with an emphasis on how AI can support learners by adapting and improving feedback, for example. The SPARRO framework was suggested for ethical use of AI.
