4 citations · 6 across the 6 of their papers we have counts for
7 papers
A Frugal Model for Accurate Early Student Failure Prediction
Ikram Gagaoua, Armelle Brun, Anne Boyer
Predicting student success or failure is vital for timely interventions and personalized support. Early failure prediction is particularly crucial, yet limited data availability in…
Multi-source Data Mining for e-Learning
Julie Bu Daher, Armelle Brun, Anne Boyer
Data mining is the task of discovering interesting, unexpected or valuable structures in large datasets and transforming them into an understandable structure for further use . Dif…
Multi-source Relations for Contextual Data Mining in Learning Analytics
Julie Bu Daher, Armelle Brun, Anne Boyer
The goals of Learning Analytics (LA) are manifold, among which helping students to understand their academic progress and improving their learning process, which are at the core of…
Learning Analytics Made in France: The METALproject
Armelle Brun, Geoffray Bonnin, Sylvain Castagnos +2
This paper presents the METAL project, an ongoing French open Learning Analytics (LA) project for secondary school, that aims at improving the quality of the learning process. The…
Toward a Robust Diversity-Based Model to Detect Changes of Context
Sylvain Castagnos, Amaury L 'Huillier, Anne Boyer
Being able to automatically and quickly understand the user context during a session is a main issue for recommender systems. As a first step toward achieving that goal, we propose…
A new Recommender system based on target tracking: a Kalman Filter approach
Samuel Nowakowski, Cédric Bernier, Anne Boyer
In this paper, we propose a new approach for recommender systems based on target tracking by Kalman filtering. We assume that users and their seen resources are vectors in the mult…