ECNU study in top journal resolves "seductive detail" debate in multimedia learning
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-Nov-2026 15:16 ET (3-Nov-2026 20:16 GMT/UTC)
A meta-analysis by Associate Professor Wang Zhe and PhD candidate Cheng Chao (East China Normal University) in Educational Psychology Review finds that seductive details have a small but significant negative effect on learning outcomes. Using three-level meta-analysis and MASEM, the study provides the first cross‑study evidence that extraneous cognitive load mediates this effect.
The appointment recognises his expertise at the intersection of AI, weather and climate science, and strengthens Singapore’s contribution to international efforts in this space.
Researchers have developed an artificial intelligence model that learns from real match data to evaluate and improve football attacking strategies against compact "low block" defenses. By modeling both on-ball decisions and off-ball movements, the model generates more coordinated and creative attacking solutions, offering practical decision support for coaches and analysts.
Artificial intelligence can dramatically speed up the painstaking work of tracking wildlife with remote cameras, cutting analysis time from months or even a year to just days while producing nearly the same scientific conclusions as humans. That’s according to a new study led by researchers at Washington State University and Google, published in the Journal of Applied Ecology. The team tested whether a fully automated AI system could replace humans in processing hundreds of thousands to millions of camera trap images collected in Washington, Montana’s Glacier National Park, and Guatemala’s Maya Biosphere Reserve.