5 citations · 8 across the 4 of their papers we have counts for
5 papers
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…
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…
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…
Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models
Mélina Verger, Sébastien Lallé, François Bouchet +1
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions.…
A Framework to Counteract Suboptimal User-Behaviors in Exploratory Learning Environments: an Application to MOOCs
Sébastien Lallé, Cristina Conati
While there is evidence that user-adaptive support can greatly enhance the effectiveness of educational systems, designing such support for exploratory learning environments (e.g.,…