Educational chatbots powered by large language models (LLMs) show promising effects on learning outcomes, yet most systems delegate pedagogical decisions such as content selection and didactic structuring implicitly to the LLM, making tutoring …
Graph models help understand network dynamics and evolution. Creating graphs with controlled topology and embedded partitions is a common strategy for evaluating community detection algorithms. However, existing benchmarks often overlook the need to …
Dans le domaine de l’information en ligne, parmi les plateformes de réseaux sociaux, YouTube arrive en deuxième position derrière Facebook. Conçue au départ pour les contenus amateurs, Youtube accueille aujourd’hui de nombreux contenus …
Engaging students in peer assessment is an innovative assessment process which has a positive impact on students learning experience. However, the adoption of peer assessment can be slow and uncomfortably experienced by students. Moreover, peer …
This paper aims to understand student learning engagement in an online course. We describe an empirical study we conducted to investigate learner profiles when interacting with learning content. This study is based on data records about student …
Comprendre la dynamique des interactions entre individus dans les réseaux sociaux est un enjeu important, notamment via la dynamique communautaire. Le résultat d'algorithmes de clustering temporel aboutit à la production de complexes graphes …
This paper presents new methods of 3D visualization of graphs that allow to highlight nodes structural centrality. These methods con- sist in projecting, along the vertical axis, 2D graph representations on three 3D surfaces: 1) a half-sphere; 2) a …
There is a growing interest in how data generated in learning platforms, especially the interaction data, can be used to improve teaching and learning. Social network analysis and machine learning methods take advantage of network topology to detect …