On this episode, host Mike Palmer welcomes again Dr. Eddie Watson to speak about the impulsively evolving panorama of AI in upper training. Following the discharge of the second one version of his guide, Teaching with AI: A Practical Guide to a New Era of Human Learning, Eddie stocks insights from operating with just about 200 campus groups on transitioning from AI-resistant assignments to AI-integrated pedagogy. Here’s the link to Eddie’s first appearance.
Key Takeaways:
- Past Instructional Integrity: Whilst dishonest stays a priority, the dialog is transferring towards AI literacy as an very important studying result to arrange scholars for an AI-integrated personnel.
- The “Calculus” of Dishonest: In high-stakes environments, scholars ceaselessly really feel a aggressive drawback in the event that they don’t use AI.
- Pedagogical Transparency: If college ban AI for explicit assignments, they will have to provide an explanation for the “why” (e.g., construction foundational talents) to inspire pupil compliance
- Backward Design: Eddie advocates for beginning with the specified studying result and engineering assignments and instruction from there.
- Finding out to Write vs. Writing to Be told: AI’s function must fluctuate in accordance with whether or not the objective is mastering writing mechanics or the use of writing to procedure direction content material.
- Sturdy Talents: Whilst technical talents like urged engineering might exchange briefly, mindsets like metacognition and significant pondering stay very important.
- “Flooring Fact” Bots: The usage of gear like NotebookLM or Small Language Fashions (SLMs) lets in scholars to interrogate explicit, vetted knowledge units like OER textbooks.
- Potency vs Engagement: The episode concludes with a take a look at the “Potency vs. Engagement” binary. Whilst establishments might use AI to automate grading and build up magnificence sizes, the true alternative lies in reinvesting stored time into “signature pedagogies”—mentoring and fostering a way of pupil belonging, that are the best predictors of pupil luck.
Quotes:
“The person who does the paintings is the person who does the educational. How will we make certain our scholars are doing the paintings, as a result of that’s the place the educational happens?” — Eddie Watson
Timestamps:
- 00:00 – Creation & Welcome Again
- 00:55 – The Innovation Cycle: 2nd Version of “Educating with AI”
- 01:41 – Eddie Watson’s Background & Function at AAC&U
- 03:32 – The Shift: From Instructional Integrity to the International of Paintings
- 05:10 – Complexity of Instructional Integrity & Scholar Pressures
- 07:42 – Evolving Overview Methods & Motivation to Cheat
- 10:55 – Backward Design: Aligning AI with Finding out Results
- 12:54 – Writing to Be told vs. Finding out to Write
- 14:43 – Agentic AI & Modernizing Tests
- 18:50 – Growing “AI-Resistant” vs. AI-Clear Assignments
- 24:43 – Creating a Meta AI Literacy Style
- 28:00 – Sturdy Talents: Metacognition & Managing AI
- 33:50 – Customized Chatbots, SLMs, and Flooring Truths
- 46:40 – The Long run: Potency vs. Engagement
- 49:00 – The Human Part: Mentorship & Scholar Belonging
- 51:00 – Last Remarks
Subscribe to Trending in Ed anywhere you get your podcasts so that you by no means omit an insight-filled dialog like this one.
Episode References
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Bowen, J. A., & Watson, C. E. (2025). Educating with AI (2d ed.). Johns Hopkins College Press. https://doi.org/10.56021/9781421453392
