AI in Education: Panel Discussion: How Does AI Affect How We Learn?

A panel discussion on the ways in which AI affects how we learn. The AI in Education workshop was part of the MIT Schwarzman College of Computing’s Expanding Horizons in Computing series, held during MIT’s January Independent Activities Period. Watch more videos from the MIT Schwarzman College of Computing:    / @mitcomputing   The mission of the MIT Schwarzman College of Computing is to address the opportunities and challenges of the computing age — from hardware to software to algorithms to artificial intelligence — by transforming the capabilities of academia in three key areas: strengthen core computer science and AI; infuse the forefront of computing with disciplines across MIT; and advance social, ethical, and policy dimensions of computing. Learn more at computing.mit.edu.

Yann LeCun | Self-Supervised Learning, JEPA, World Models, and the future of AI
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Yann LeCun | Self-Supervised Learning, JEPA, World Models, and the future of AI

AI in Education: Navigating Teaching and Assessing Student Learning in the GenAI Era
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AI in Education: Navigating Teaching and Assessing Student Learning in the GenAI Era

AI & Coding: Panel Discussion
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AI & Coding: Panel Discussion

Linda Hill on Leading Through AI-Driven Change
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Linda Hill on Leading Through AI-Driven Change

2025 AI+Education Summit: AI’s Impact on Education – A Visionary Conversation
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2025 AI+Education Summit: AI’s Impact on Education – A Visionary Conversation

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

Power Automate Beginner to Pro Tutorial [Full Course]
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Power Automate Beginner to Pro Tutorial [Full Course]

The Hardest Problem AI Ever Solved, with Google DeepMind CEO
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The Hardest Problem AI Ever Solved, with Google DeepMind CEO

Stanford Leadership Forum 2026: Rewiring the Workforce in the Age of AI
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Stanford Leadership Forum 2026: Rewiring the Workforce in the Age of AI

AI & Coding: Modular & Legible Software for AI (& Human) Coders
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AI & Coding: Modular & Legible Software for AI (& Human) Coders

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Economics of Generative AI
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Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Economics of Generative AI

Khan Academy CEO: The Real AI Opportunity Is in Boring Industries | Sal Khan
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Khan Academy CEO: The Real AI Opportunity Is in Boring Industries | Sal Khan

AI and Education: What's Changing, What Kids Must Learn, and the Path Forward | SXSW
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AI and Education: What's Changing, What Kids Must Learn, and the Path Forward | SXSW

AI and the Future of Work
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AI and the Future of Work

"Software Fundamentals Matter More Than Ever" — Matt Pocock
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"Software Fundamentals Matter More Than Ever" — Matt Pocock

U.S. Leadership in AI with Jensen Huang, Founder and CEO of NVIDIA, and Congressman Ro Khanna
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U.S. Leadership in AI with Jensen Huang, Founder and CEO of NVIDIA, and Congressman Ro Khanna

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

366 ‒ Transforming education with AI and an individualized, mastery-based education model
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366 ‒ Transforming education with AI and an individualized, mastery-based education model

The AI Skills Nobody is Teaching (And Everyone Needs) | AI Expert Ethan Mollick
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The AI Skills Nobody is Teaching (And Everyone Needs) | AI Expert Ethan Mollick

"A.I. and Our Economic Future," Professor Chad Jones
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"A.I. and Our Economic Future," Professor Chad Jones