Yulin Hou

QuesRecAgent: A Dual-Loop Multi-Agent Question Recommender for Enhancing Knowledge Mastery

Adaptive Learning Systems (ALS) play a key role in promoting the equity of education, which can provide personalized teaching on a large scale. However, the existing question recommendation methods face the problem of data sparsity at the scenario of cold-start, and lack the ability of long-term tea