LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning
Evaluating the quality of slide-based multimedia instruction is challenging. Existing methods like manual assessment, reference-based metrics, and large lang...
Posts by Year
2025
Exploring LLM-based Student Simulation for Metacognitive Cultivation
Metacognitive education plays a crucial role in cultivating students’ self-regulation and reflective thinking, providing essential support for those with lea...
2024
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents
Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination ...
Explainable Few-shot Knowledge Tracing
Knowledge tracing (KT), aiming to mine students’ mastery of knowledge by their exercise records and predict their performance on future test questions, is a ...
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty
Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interac...
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance...
2023
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering
Collaborative filtering (CF) is the basic method for recommendation with implicit feedback. Recently, various state-of-the-art CF integrates graph neural net...
Debiased Contrastive Loss for Collaborative Filtering
Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...