How AI Transforms Learning - with former Harvard professor and dean Stephen Kosslyn
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2024/10/16
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Chapters
Introduction to Stephen Kosslyn and His Career
What is Active Learning and Why is it Important?
How Does Retention Work in Learning?
The Impact of AI on Learning
Early Experiences with AI in Education
The Cognitive Amplifier Loop: How AI Enhances Learning
AI in Learning: Challenges and Potential
The Complexity of AI Personalization in Education
The Transfer Problem in Learning: Why It Matters
Problem-Solving and Cognitive Limits in AI
Evolutionary Learning and AI in Creativity
AI's Challenges with Context Switching
The Role of Student Motivation in Learning
Innovative Teaching Methods for the AI Age
Intrinsic vs. Extrinsic Motivation: What Drives Learning?
The Enduring Value of the Humanities in an AI-Driven World
Final Thoughts and Reflections
Shownotes
Transcript
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