3 papers
cs.CV2026
Leveraging Vision-Language Models to Detect Attention in Educational Videos
Gabriel Becquet, Sébastien Lallé, Vanda Luengo +1
Educational videos are a cornerstone of remote and blended learning. However, learners' fluctuating attention remains a significant barrier to effective information retention. Prio…
cs.LG2024
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
Valdemar Švábenský, Mélina Verger, Maria Mercedes T. Rodrigo +5
Algorithmic bias is a major issue in machine learning models in educational contexts. However, it has not yet been studied thoroughly in Asian learning contexts, and only limited w…
cs.CY2024
A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models
Mélina Verger, Chunyang Fan, Sébastien Lallé +2
Predictive student models are increasingly used in learning environments. However, due to the rising social impact of their usage, it is now all the more important for these models…