Trace Analysis of Educational Videos to Identify the Groups of Learners with Similar Profiles.

Behaz, Amel; Moumen, Hamouma; Nouari, Wafa

The involvement of teaching videos increases the learners' psychological stimulation during the learning process. In fact, this type of resource can facilitate comprehension by approaching the content at the learners own pace and coming back to it as many times as necessary. In this particular case, the possibility of keeping a trace of video playing will be considered for the teacher an important asset in monitoring the learning progress of the learners. The objective of our work is to analyze the learner traces when he/she is playing a video. We propose usable restitutions to improve the online learning. Among these restitutions, we suggest to the teacher groups of learners who will be able to work together since they have the same video playing strategies. Throughout this analysis, the results are from a specific case study on which we applied unsupervised classification methods to identify groups of learners with similar profiles.

EDUCATIONAL films; DATA mining; SUPERVISED learning

Ingénierie des Systèmes d'Information, 2023, Vol 28, Issue 1, p97

1633-1311

Academic Journal

10.18280/isi.280110