In this episode, we explore how artificial intelligence is reshaping teaching, learning, and assessment in higher education—and what this means for faculty, students, and institutions. AI isn't just about cheating or plagiarism detection. It represents a fundamental shift in how knowledge is created, shared, and evaluated.

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Drawing on key insights from leading books like Teaching with AI, AI for Educators, and AI and the Future of Education, we dive into:

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0:01 Introduction

1:02 AI is bigger than cheating

8:30 What's actually new about this technology?

15:24 K-12: Brief Context, Big Implications

21:19 Rethinking Assessment in Higher Ed

30:35 The Role of Faculty is Shifting

35:53 AI Literacy: The New Academic Baseline

37:57 Curriculum and Pedagogy Must Respond

39:31 Institutional Response and Policy Challenges

41:40 Change as Opportunity

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🎧 Whether you're a college professor, administrator, or just curious about the future of education, this episode unpacks where we are now—and what’s coming next.

👉 Stay tuned for Episode 3, where we’ll dig into academic integrity, ethical use of AI, and how to create trust and transparency in AI-enhanced classrooms.

📚 References Bowen, J. A., & Watson, C. E. (2023). Teaching with AI: A Practical Guide to a New Era of Human Learning.

Shah, R. (2023). AI and the Future of Education: Teaching in the Age of Artificial Intelligence. Miller, M. (2023). AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an AI-Augmented Classroom.

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