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Podcast
61 minutes
Oct 16, 2024

Podcast


ABB

How AI Transforms Learning - with Former Harvard Professor and Dean Stephen Kosslyn

In this podcast, Beyond the Prompt hosts Jeremy Utley and Henrik Werdelin, and Active Learning Sciences Founder and Former Harvard Dean and Professor Stephen Kosslyn explores how AI is reshaping active learning as a cognitive amplifier to improve critical thinking, adaptability, and problem-solving.

Artificial Intelligence Learning Science Active Learning Strategies AI in Education Cognitive Amplification

Takeaways

  • Active learning is more effective than passive learning because it forces learners to use knowledge rather than just absorb it.
  • AI serves as a "cognitive amplifier" by enhancing human strengths and compensating for memory limitations and weaker information processing.
  • AI can support deep learning by providing varied examples, prompting critical thinking, and helping learners apply knowledge in different contexts.
  • Custom AI-driven education can improve engagement by tailoring content delivery to individual needs and helping maintain motivation.
  • Humanities are more important than ever in the AI era, as they help people develop contextual understanding, creativity, and adaptability.

Summary

Stephen Kosslyn, a leading cognitive psychologist and AI-driven education expert, discusses how AI can enhance learning rather than replace human educators. He defines active learning as “learning by using,” rather than simply absorbing information, which significantly improves retention and application of knowledge. Passive learning, such as lectures, often leads to 70–90% of content being forgotten within days.

Kosslyn describes AI’s role as a cognitive amplifier rather than a co-pilot or collaborator. AI does not have goals or personal understanding but can boost human cognition by enhancing memory, critical thinking, and knowledge organization. He introduces the Cognitive Amplifier Loop (CAL), a structured way of using AI to refine thinking:

Start with a goal, which can be vague at first.

Use AI to refine or redefine the goal.

Generate a response and analyze it critically.

Adjust the prompt or goal based on AI feedback.

Iterate the process to improve understanding and application.

He highlights one of the biggest challenges in learning—the “transfer problem”, where students fail to apply knowledge learned in one context to another. AI can help solve this by providing diverse examples, prompting analogical thinking, and guiding learners through problem-solving frameworks.

Kosslyn also shares his approach to personalized learning through AI. His company, Active Learning Sciences, develops educational programs that incorporate AI-driven teaser videos, knowledge assessments, personalized content delivery, and real-time feedback. The AI adapts lessons based on learners’ strengths and weaknesses, ensuring more effective and engaging instruction.

For corporate settings, AI-powered training programs can enhance employee skill development, but Kosslyn warns against relying solely on extrinsic motivation (rewards and promotions). He emphasizes the importance of intrinsic motivation, which can be nurtured by making learning relevant, engaging, and socially connected.

A key realization from his latest book is that the humanities are more valuable than ever. Literature, philosophy, and the arts help develop contextual reasoning, creativity, and perspective-taking, which are skills AI struggles to replicate. In a world increasingly influenced by AI, humanistic education remains essential for decision-making and problem-solving.

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