Social Learning Amplified hosted by Eric Mazur

In this episode of Social Learning Amplified, host Eric Mazur is joined by Marc Watkins—educator, academic innovator, and director of the AI Institute for Teachers of Writing at the University of Mississippi. Together, they discuss how generative AI is reshaping reading, writing, and student-teacher relationships. From introducing “friction” into the reading process to encouraging ethical, reflective use of AI tools, Marc offers a grounded, human-centered perspective on navigating this rapidly evolving landscape. Tune in for a conversation about the future of learning, critical thinking, and the role of relationships in education.

How is generative AI reshaping education? In this episode of Social Learning Amplified, host Eric Mazur sits down with David Joyner, executive director of online education at Georgia Tech and author of A Teacher’s Guide to Conversational AI. Together, they explore the evolving role of AI in teaching, learning, and assessment. From early fears to practical applications, they discuss how educators can adapt their pedagogy to leverage AI tools effectively. David shares insights from his book and accompanying MOOC, offering strategies for integrating AI into assessment design, fostering deeper student engagement, and addressing academic integrity concerns.

In this episode of the Social Learning Amplified podcast, host Eric Mazur engages with authors Tricia Bertram Gallant and David Rettinger to explore the concept of cheating in education, its implications, and the evolving landscape of academic integrity in the age of generative AI. They discuss the importance of redefining cheating as a lack of learning, the reasons behind student cheating, and the role of assessment in fostering or deterring academic misconduct. The conversation also highlights practical strategies for educators to promote integrity and adapt to the challenges posed by AI technologies.