The Memory Paradox: What Neuroscience Reveals About Learning in the Age of AI
In an era where AI can generate instant answers, do students still need to memorize and internalize knowledge? This session unpacks The Memory Paradox, a neuroscience-based framework that challenges the assumption that “you can always look it up.”
Drawing on insights from cognitive psychology, brain science, and classroom practice, Damir Odobasic explores how memory, prediction errors, and reinforcement shape deep learning—and what happens when we outsource thinking to machines.
Participants will leave with a clearer understanding of why knowledge and memory remain essential in AI-powered classrooms, alongside practical, evidence-based strategies they can implement immediately to strengthen learning and prepare students for the future.
Facilitated By
Damir Odobasic
Head of Digital Integration, Shanghai United International School
Damir Odobasic is Head of Digital Integrations, ICT and Music at SUIS Hongqiao in Shanghai, where he leads curriculum innovation in both subjects. His guiding mantra is: “AI can boost cognitive capabilities only if applied according to science in order to support and not hinder learning”. A passionate educator, Damir explores the intersection of neuroscience, AI, and pedagogy to design future-ready classrooms. On a personal note, he continues to merge music and technology—his lifelong passions—into both his teaching and creative work.
