Teachers deserve AI tools that know the difference between a worksheet and a learning experience; Designing assessments that assume AI is present; AI didn’t break ho ...
Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...
Challenges and constraints in global health practice such as inadequate international cooperation, cultural sensitivity, and interdisciplinary collaboration inform key gaps and opportunities to ...
Lee Schulman's term "pedagogical solitude" captures a pervasive problem in academic teaching: many of us teach in isolation, with few opportunities for intellectual or creative exchange with fellow ...
As immigration agents and protests lead some families to keep children home, schools around the Twin Cities are offering a remote option for the next several weeks. By Sarah Mervosh Education reporter ...
A cross-sectional quantitative research design was used, and data were collected from a state university in southeastern Türkiye. Structural equation modeling was used to estimate the structural ...
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
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 ...
As educational leaders with a combined experience of over 70 years, we have championed efforts to support collaboration for teachers while finding ourselves in a siloed and often lonely position of ...
This research article synthesizes four studies conducted at a special education independent school and affiliated liberal arts university with teachers, high schoolers, and college learners 18 and up, ...
Abstract: Cooperative multi-agent reinforcement learning (MARL) is a promising approach for complex collaborative tasks. However, practical deployment remains challenging due to ambiguous credit ...
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