Edutopia

12 Buddy Systems That Support Learning and Student Well-Being

Encouraging students to “look out for each other on purpose” has a powerful impact. These classroom and schoolwide strategies ...

Empowerment collaborative inspires students to discover talents

Every child can be successful. That was the core of Kathy D’Antoni’s message on Jan. 13 to staff, students and visitors at ...

Four Physical AI Predictions for 2026 (and Beyond)

Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...
IEEE

A Cooperative Multi-Agent Reinforcement Learning Method Based On Reward Decomposition In Increasing Number Of Agents Environment

Abstract: Cooperative multi-agent reinforcement learning (MARL) is a promising approach for complex collaborative tasks. However, practical deployment remains challenging due to ambiguous credit ...
IEEE

Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations

Abstract: Optimizer-based meta-learning, specifically model-agnostic meta-learning (MAML), has emerged as a powerful tool for tackling the cold-start recommendation problem. In these ...
Inside Higher Ed

Reaching Farther Than One-Size-Fits-All

In today’s higher education landscape, the idea that future students will need more academic support is far from a catchphrase—it reflects a profound shift in both student needs and faculty ...
marktechpost

HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities

AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports only homogeneous model collaboration, ...
KBTX

Treat of the Day: River Bend Elementary named a School Transforming Learning

COLLEGE STATION, Texas (KBTX) - River Bend Elementary School in College Station was named a 2025 School Transforming Learning by the Principals’ Institute. The campus is one of 14 statewide to earn ...
Frontiers

Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United ...