Teacher collaboration boosts cognitively activating teaching practices
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Jun-2026 00:16 ET (3-Jun-2026 04:16 GMT/UTC)
Cognitively activating teaching practice, as a strategy that can promote students' critical thinking, problem-solving, and in-depth learning, is considered to have potential relevance for teachers’ professional collaboration. A new international study led by Dr. Mehmet Şükrü Bellibaş provides compelling evidence that teachers who collaborate professionally are significantly more likely to use cognitively activating teaching practices. The study also reveals that the positive effects of collaboration are even stronger in schools with high collective innovativeness.
Private tutors, as key actors in the rapidly expanding global shadow education sector, construct diverse and dynamic professional identities shaped by cultural, economic, political, and institutional environments. A new review by researchers at Hong Kong Baptist University provides the first systematic synthesis of private tutor identities across diverse cultural contexts.
Can rating be more than a warm-up activity in classroom assessments? A new Hong Kong study reveals that the accuracy with which students rate their own and their peers’ writing significantly shapes the quality of feedback, the depth of revision, and ultimately the improvement of their writing performance. The research challenges the common perception and instead shows its essential role in driving meaningful learning outcomes.
In an era where student-centered instruction and competency-based learning are gaining traction globally, enhancing teacher capacity remains a pivotal challenge. Recognizing this, a team of Chinese education researchers has turned to framing theory to better understand how collaborative professional development models—particularly lesson study—can drive meaningful shifts in teachers’ instructional practice.
Researchers developed an Ag/Sb2O3/Au memristor array that mimics brain-like computing, performing on-device image feature extraction with low power consumption, promising smarter and faster electric grid inspections.
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging systems using only limited temperature measurements. The approach addresses a critical challenge in advanced heterogeneous integration, where increasing power density and material heterogeneity complicate thermal monitoring and reliability assessment.
Chiplet-based packaging integrates multiple heterogeneous chiplets into a single system, offering improved flexibility, yield, and cost efficiency compared to traditional system-on-chip designs. However, the resulting increase in power density and deterioration of heat dissipation conditions can lead to localized overheating, threatening system stability and long-term reliability. Accurately reconstructing the temperature field of such systems from sparse sensor data is therefore essential, yet remains a difficult inverse problem in practical engineering applications.