Adaptive learning platforms like i-Ready are transforming how students learn by tailoring instruction to their unique needs.

Google’s experimental Little Language Lessons uses AI to create personalized, scenario-based exercises for 23 languages, aiming to make practice more natural and practical than textbook drills.

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

Discover how combining feedback and reflection helps students improve skills, challenge assumptions, and become more adaptive ...

Only 32% of digital learning in the U.S. is currently personalized, according to a new study commissioned by Insights Learning and Development and conducted by the Association for Talent Development.

Abstract: Few-shot learning seeks to recognize novel classes from limited examples. Model-agnostic meta-learning (MAML), known for its simplicity and flexibility, learns an effective initialization ...

This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

Pathway’s post-transformer architecture BDH integrated with NVIDIA AI and AWS cloud infrastructure Pathway model’s continuous learning, efficiency, and live observability is powered by NVIDIA AI ...

Abstract: While control barrier functions (CBFs) are capable of providing safety guarantees, their effectiveness can degrade in the presence of model uncertainty and unexpected faults, particularly ...

Colleges and universities can leapfrog from personalized to N-of-1 precision learning by modernizing their data architecture, building dynamic learner profiles, and adopting computed curriculum. This ...