Dr. Michael F. Young—a scholar of learning science whose academic career investigating situated cognition, instructional design, and playful learning has shaped contemporary approaches to pedagogy development and classroom technology integration—joins The Worldbuilding Workshop Podcast to discuss the specific impact(s) of generative artificial intelligence (GenAI) on education, including:
- Describing educational theories in the abstract vs. applying them in complex instructional contexts;
- Shifting away from convergent thinking to prioritize divergent thinking;
- Intentions, ethics, and the tokenization of ideas;
- Differentiating correlational algorithmic responses from biological human cognition;
- Gen AI tools as thought-partners and the resulting Section 230 implications;
- The “Clark-Kozma” debate over emerging technologies, pedagogical design, and “good” teaching;
- Personal goal orientation and the limits of non-human intentionality;
- Human cognition as an intentional perception-action loop that Gen AI cannot replicate;
- How value systems differentiate human problem solving from machine-generated problem solving;
- Overcoming administrative obsessions with “efficiency” to promote deeper learning;
- Assimilation, accommodation, and what it means to “reboot” education"; and
- Judging whether machine-generated solutions align with a designer’s original communicative intent.
Submitted June 9, 2026 at 11:19AM by DoctorSteve03 https://ift.tt/LUjlNy9
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