AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

"If education is to remain relevant in an AI-driven future, curricula must evolve to prioritise process over product, critical engagement over convenience, and ethical use over prohibition," says the ...

AI's value depends on the educators and leaders who wield it with intention and a commitment to equity, fairness, responsibility, and balance.

The value of classroom technology depends on instructional intent: Devices should support strong pedagogy by expanding how ...

Both humans and LLMs show modest metacognitive sensitivity : When explicitly prompted for confidence ratings, high confidence ...

Peer reflection on microteaching plays a crucial role in teachers' training programs as it equips novice teachers with ...

Yongho Bae, PhD, associate professor of pathology and anatomical sciences, has been named a recipient of the 2025-26 Meyerson Award for exceptional teaching and mentorship of undergraduate UB students ...

Fudan University's new guidelines specify that course teaching teams can use AI to optimize course module divisions, learning ...

Fudan University's new document specifies that course teaching teams can use AI to optimize course module divisions, learning task designs, and activity process arrangements, creating a more cohesive ...

The study finds that AI can reduce certain burdens by managing intrinsic load more efficiently than traditional classroom ...

Abstract: Learning from Demonstration (LfD) is a powerful type of machine learning that can allow novices to teach robots to complete various tasks. However, the learning process for these systems may ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...