Traceability by design: design of an interactive system to improve the automatic generation of Git traces during a learning activity

Mika Pons (1, 2) , Jean-Michel Bruel (3, 4) , Jean-Baptiste Raclet (5, 6) , Franck Silvestre (1, 7)

1 UT Capitole - Université Toulouse Capitole
2 IRIT - Institut de recherche en informatique de Toulouse
3 IRIT-SM@RT - Smart Modeling for softw@re Research and Technology
4 UT2J - Université Toulouse - Jean Jaurès
5 IRIT-ACADIE - Assistance à la Certification d’Applications DIstribuées et Embarquées
6 UT3 - Université Toulouse III - Paul Sabatier
7 IRIT-TALENT - Teaching And Learning Enhanced by Technologies

Learning Analytics (LA) is collecting and analyzing traces of learners' activities in order to understand and improve learning. This paper focuses on traces generated using the version control system Git. Existing works on the topic have limitations regarding the quality of the traces they analyze: (1) the quantity and content are not always sufficient for in-depth analysis of student behavior, (2) their limited reliability can lead to a loss of exploitable data, and (3) the method of generating these traces is not generic. We propose a new interactive system based on Git and the observation of file modifications to generate automatically reliable and rich traces. This interactive system will soon be experimented with in an ecological context and is intended for diversified teaching contexts.

Mots clés: Learning analytics Git Traces Interactive system; Learning analytics; Git; Traces; Interactive system

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Mika Pons, Jean-Michel Bruel, Jean-Baptiste Raclet, Franck Silvestre. Traceability by design: design of an interactive system to improve the automatic generation of Git traces during a learning activity. 18th European Conference on Technology Enhanced Learning (EC-TEL 2023), Sep 2023, Aveiro, Portugal. pp.611-617, ⟨10.1007/978-3-031-42682-7_50⟩. ⟨hal-04347305⟩