Learning Analytics Made in France: The METALproject

Autor: Brun, Armelle, Bonnin, Geoffray, Castagnos, Sylvain, Roussanaly, Azim, Boyer, Anne

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 originality of METAL is that it relies on research through exploratory

Externí odkaz: http://arxiv.org/abs/1904.02528

Using Behavioral Primitives to Model Students’ Digital Behavior

Autor: Dermy, Oriane, Roussanaly, Azim, Boyer, Anne

Publikováno v: In Procedia Computer Science 2022 207:2444-2453

A Dynamic Indicator to Model Students’ Digital Behavior

Autor: Dermy, Oriane, Boyer, Anne, Roussanaly, Azim

Publikováno v: SciTePress
SciTePress, Proceedings of the 14th International Conference on Computer Supported Education-Volume 2: CSEDU, pp.163-170, 2022, ⟨10.5220/0011039400003182⟩

During the first French Covid19 lockdown, students had to switch to a fully online learning mode. Therefore, understanding students' digital behavior becomes crucial for analysts serving public institution policy. In particular, they want to determin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::6186759c27a0c052f2b2a7fac49832dd
https://hal.science/hal-04054428/document

DIAL, la composante dialogue d'un système de communication orale homme-machine finalisée en langage naturel

Autor: Roussanaly, Azim

Th. univ.--Inform.--Nancy 1, 1988.

Externí odkaz: http://catalogue.bnf.fr/ark:/12148/cb376182738

Data Flow Framework: A persona-based repository to modeling recommender systems

Autor: Dantas Da Silva, Rodrigo, Arilton Pereira Filho, José, Sedir Grilo de Morais, Philippi, Alexsandro De Medeiros Valentim, Ricardo, Dantas Coutinho, Karilany, Roussanaly, Azim, Boyer, Anne, Oliveira, Carlos

Publikováno v: 3rd Annual Learning & Student Analytics Conference (LSAC 2019)
3rd Annual Learning & Student Analytics Conference (LSAC 2019), Oct 2019, Nancy, France

International audience; The present project comes to propose a framework of data acquisition and structured repository in order to be able to apply machine learning techniques to content recommendation. For this, it is intended to use as a basis the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1cbf8bbc85058318eee68b03c5f3abb9
https://inria.hal.science/hal-02469655/document