On this episode, host Mike Palmer welcomes again Dr. Eddie Watson to debate the quickly evolving panorama of AI in larger training. Following the discharge of the second version of his ebook, โ Educating with AI: A Sensible Information to a New Period of Human Studyingโ , Eddie shares insights from working with practically 200 campus groups on transitioning from AI-resistant assignments to AI-integrated pedagogy. โ Right hereโs the hyperlink to Eddieโs first lookโ .
Key Takeaways:
- Past Educational Integrity: Whereas dishonest stays a priority, the dialog is shifting towards AI literacy as a necessary studying final result to arrange college students for an AI-integrated workforce.
- The โCalculusโ of Dishonest: In high-stakes environments, college students typically really feel a aggressive drawback in the event that they donโt use AI.
- Pedagogical Transparency: If school ban AI for particular assignments, they need to clarify the โwhyโ (e.g., constructing foundational expertise) to encourage pupil compliance
- Backward Design: Eddie advocates for beginning with the specified studying final result and engineering assignments and instruction from there.
- Studying to Write vs. Writing to Be taught: AIโs function ought to differ primarily based on whether or not the aim is mastering writing mechanics or utilizing writing to course of course content material.
- Sturdy Expertise: Whereas technical expertise like immediate engineering could change shortly, mindsets like metacognition and significant considering stay important.
- โFloor Realityโ Bots: Utilizing instruments like NotebookLM or Small Language Fashions (SLMs) permits college students to interrogate particular, vetted knowledge units like OER textbooks.
- Effectivity vs Engagement: The episode concludes with a take a look at the โEffectivity vs. Engagementโ binary. Whereas establishments could use AI to automate grading and enhance class sizes, the true alternative lies in reinvesting saved time into โsignature pedagogiesโโmentoring and fostering a way of pupil belonging, that are the best predictors of pupil success.
Quotes:
โThe one who does the work is the one who does the educational. How will we ensure that our college students are doing the work, as a result of thatโs the place the educational happens?โ โ Eddie Watson
Timestamps:
- 00:00 โ Introduction & Welcome Again
- 00:55 โ The Innovation Cycle: Second Version of โEducating with AIโ
- 01:41 โ Eddie Watsonโs Background & Function at AAC&U
- 03:32 โ The Shift: From Educational Integrity to the World of Work
- 05:10 โ Complexity of Educational Integrity & Scholar Pressures
- 07:42 โ Evolving Evaluation Methods & Motivation to Cheat
- 10:55 โ Backward Design: Aligning AI with Studying Outcomes
- 12:54 โ Writing to Be taught vs. Studying to Write
- 14:43 โ Agentic AI & Modernizing Assessments
- 18:50 โ Creating โAI-Resistantโ vs. AI-Clear Assignments
- 24:43 โ Creating a Meta AI Literacy Mannequin
- 28:00 โ Sturdy Expertise: Metacognition & Managing AI
- 33:50 โ Customized Chatbots, SLMs, and Floor Truths
- 46:40 โ The Future: Effectivity vs. Engagement
- 49:00 โ The Human Ingredient: Mentorship & Scholar Belonging
- 51:00 โ Closing Remarks
โ Subscribe to Trending in Edโ wherever you get your podcasts so that you by no means miss an insight-filled dialog like this one.
Episode References
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Bowen, J. A., & Watson, C. E. (2025). Educating with AI (2nd ed.). Johns Hopkins College Press. https://doi.org/10.56021/9781421453392
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