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

Introduction Artificial intelligence (AI) is rapidly transforming learning through unparalleled levels of personalization, efficiency, and scalability (Govea et al., 2023; Mahmoud and Sørensen, 2024).

The Framework Laptop 12 has a lot of potential among kids and educators thanks to its durable 2-in-1 chassis, bright 1200p touchscreen and DIY-friendly design. We'll just have to wait until it ...

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 ...

Dynamic state adaptation based on real-time monitoring The APEO framework represents physical education as an adaptive system, where individual states and program parameters are dynamically adjusted ...

The integration of artificial intelligence (AI) into educational systems marks a significant evolution in how personalized learning experiences are crafted, offering the transformative potential ...