Matthew R Fischer
Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
This design case details a workshop series designed to help university faculty engage with generative AI through constructionist, hands-on experimentation rather than technical training. Participants collaborated to create pedagogical artifacts, surface tool limitations, and address misconceptions through playful prompting. While many found this open-ended, experimental approach empowering, others struggled with the lack of structured conceptual grounding.
When designing GenAI training, move away from tool-based tutorials and toward active, artifact-creation tasks that encourage exploration. Balance open-ended playful experimentation with optional structured scaffolding to support learners who find unstructured environments overwhelming. Focus on helping educators understand tool limitations and adapt outputs to their specific contexts.
Integrating generative AI into 3D educational game design enables rapid prototyping of personalized and adaptive learning experiences.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
Simple, physical tasks like origami can successfully teach complex theories online when paired with structured video reflections.
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