Skip to Main content
Number of documents

2

Garlatti Serge, Full Professor


For about 20 years, I have worked at the intersection of the fields of Artificial Intelligence (knowledge engineering) and TEL (Technology Enhanced Learning). Its research activities focus on the fields of learning, lifelong learning and cultural heritage for formal and informal learning and the design of new computing environments to support researchers in History of Science and Technology - Digital Humanities. I am interested in the problems of designing environments of learning and cultural mediation based on investigative approaches or connectivism, using social media in open environments of the MOOC type. From a knowledge engineering  informational point of view, the issues are as follows: acquisition and representation of knowledge,  learning analytics, semantic web and Linked Data, context sensitivity and adaptation, Learning Analytics, and dynamic generation of dashboards to support all stakeholders.


37492   

Book sections1 document

  • Alya Itani, Laurent Brisson, Serge Garlatti. Understanding Learner’s Drop-Out in MOOCs. Yin Hujun; Camacho David; Novais Paulo; Antonio J; Tallón-Ballesteros. Intelligent Data Engineering and Automated Learning -- IDEAL 2018, Springer International Publishing, pp.233-244, 2018, Lecture Notes in Computer Science book series (LNCS, volume 11314), 978-3-030-03493-1. ⟨10.1007/978-3-030-03493-1_2525⟩. ⟨hal-01953030⟩

Reports1 document

  • Vanda Luengo, Nathalie Guin, Denis Bouhineau, Philippe Daubias, Eric Bruillard, et al.. HUBBLE, UN OBSERVATOIRE DES ANALYSES DES TRACES. [Rapport de recherche] ANR (Agence Nationale de la Recherche - France). 2019. ⟨hal-02091392⟩