The Neuropsychology of Learning with GenAI

Description du cours

How do we learn—and what happens when we bring Generative AI into the mix? This mini course explores the fascinating intersection of cognitive psychology, neuroscience, and cutting-edge AI technology to answer these questions.

Students will dive into the science of learning: how the brain encodes, stores, and retrieves information, and why certain types of mental “friction” are essential for deep and long-lasting learning. We’ll examine how Generative AI works, what makes it powerful, and how its use can both enhance and hinder learning.

When does AI support cognitive growth, and when does it create shortcuts that undermine retention and critical thinking?

Through interactive discussions and hands-on activities, you’ll learn strategies to use AI tools effectively while preserving the cognitive processes that make learning stick. We’ll explore:

- The neuroscience of learning: How neural networks in the brain adapt and strengthen.
- Generative AI fundamentals: How models generate content and why they sometimes mislead.
- Cognitive friction: Why the “right amount” of challenge matters—and how to design it.
- Practical applications: Techniques to integrate AI without sacrificing deep learning.

By the end of the course, you’ll understand not only how your brain learns but also how to harness AI responsibly to amplify—not replace—human cognition. This is your chance to experience the future of learning while grounding it in the science of the mind.