Discover why robots excel at math but struggle with human-like tasks. Explore Moravec's Paradox and the future of adaptable ...

Nitin Viijay, Founder and CEO of Motion Education, reveals why learning must now evolve ... This rigid, one-size-fits-all framework persists despite decades of societal and technological evolution.

How can classrooms become communities that welcome all students’ needs, cultures, and voices? This month’s Scholarly Impact features Faculty of Education researchers advancing inclusive and adaptive ...

A person interacts with a custom-built Minecraft environment used to study adaptive social learning in a virtual foraging experiment. This study, published in Nature Communications, was designed ...

Learning activities are considerably supported and improved by the rapid advancement of e-learning systems. This gives students a tremendous chance to participate in learning activities worldwide. The ...

We introduce Graph-Enhanced Singular Adaptive Learning (GESAL), a framework that enables LLMs to learn dynamically from interactions, storing adaptations in a graph structure. GESAL leverages singular ...

Deep learning (DL)-based methods, despite the competitive performance, generally lack theoretical guarantees and scale poorly with the size of the array. In this article, we propose a general DL ...

With strategic implementation, AI can drive inclusive, adaptive, and student-centered education, shaping the future of learning globally.

Other A.I.-driven adaptive learning systems can adjust the difficulty of problem sets based on student performance and flag gaps in understanding before a teacher even notices them.