activity
20242026
most citedMapping Student-AI Interaction Dynamics in Multi-Agent Learning Environments: Supporting Personalised Learning and Reducing Performance Gaps

28 citations · 36 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2026

CogEvol: Towards Efficient and Reliable Learning Environment Generation

Shangqing Tu, Daniel Zhang-Li, Yucheng Wang +20

We present CogEvol, a family of models trained specifically for Learning Environment Generation: turning a course brief into a finished learning artifact (structured-JSON slides or…