Rémi Venant est Enseignant-Chercheur en Informatique au Dépt. MMI – Métiers du Multimédia et de l’Internet / LIUM – Laboratoire d’Informatique de l’Université du Mans.
Informations complémentaires
- Erik DUVAL : Attention please! : learning analytics for visualization and recommendation. Dans Proceedings of the 1st international conference on learning analytics and knowledge, pages 9–17. ACM, 2011.
- George SIEMENS et Ryan BAKER : Learning analytics and educational data mining : towards communication and collaboration. Dans Proceedings of the 2nd international conference on learning analytics and knowledge, pages 252–254. ACM, 2012.
- Hugues LABARTHE et Vanda LUENGO : L’analytique des apprentissages numériques. [Rapport de recherche] LIP6 – Laboratoire d’Informatique de Paris 6. 2016.
- Jared E. KNOWLES : Of needles and haystacks: Building an accurate statewide dropout early warning system in Wisconsin. Journal of Educational Data Mining, 7(3), pages 18-67. 2015.
- Andrew WATERS, Christoph STUDER, et Richard BARANIUK : Collaboration-type identification in educational datasets. Journal of Educational Data Mining, 6(1), pages 28-52. 2014.
- Sven Charleer, José Luis Santos, Joris Klerkx, et Erik Duval : Improving teacher awareness through activity, badge and content visualizations. Dans Y. Cao, T. Väljataga, J. K. T. Tang, H. Leung and M. Laanpere (dir.), New Horizons in Web Based Learning: Proceedings of the 1st International Workshop on Open Badges in Education (p. 143-152), Springer International Publishing, 2014.
- Min JI, Christine MICHEL, Élise LAVOUÉ et Sébastien GEORGES : DDART, a dynamic dashboard for collection, analysis and visualization of activity and reporting traces. Dans European Conference on Technology Enhanced Learning, pages 440-445. Springer International Publishing, 2014.
- Inès DABBEBI, Sébastien IKSAL, Jean-Marie GILLIOT, Madeth MAY et Serge GARLATTI : Towards Adaptive Dashboards for Learning Analytic: An Approach for Conceptual Design and implementation. Dans 9th International Conference on Computer Supported Education, pages 120-131. 2017.
- Rémi VENANT, Kshitij SHARMA, Philippe VIDAL, Pierre DILLENBOURG et Julien BROISIN : Using sequential pattern mining to explore learners’ behaviors and evaluate their correlation with performance in inquiry-based learning. Dans Data Driven Approaches in Digital Education : 12th European Conference on Technology Enhanced Learning, pages 286–299. Springer International Publishing, 2017.
- Julien BROISIN, Rémi VENANT et Philippe VIDAL : Awareness and reflection in virtual and remote laboratories : the case of computer education. International Journal of Technology Enhanced Learning, 9(2-3):254–276, 2017.