hrcak mascot   Srce   HID

Original scientific paper
https://doi.org/10.2498/cit.1001410

Trace-based Collaborative Learning System

Yacine Lafifi   ORCID icon orcid.org/0000-0001-8232-4196 ; Department of Computer Science, University of Guelma, Algeria
Noureddine Gouasmi ; Department of Computer Science, University of Guelma, Algeria
Khaled Halimi ; Department of Computer Science, University of Guelma, Algeria
Wassila Herkas ; Department of Psychology, University of Guelma, Algeria
Nassima Salhi ; Department of Computer Science, University of Guelma, Algeria
Assia Ghodbani ; Department of Computer Science, University of Guelma, Algeria

Fulltext: english, pdf (3 MB) pages 207-219 downloads: 600* cite
APA 6th Edition
Lafifi, Y., Gouasmi, N., Halimi, K., Herkas, W., Salhi, N. & Ghodbani, A. (2010). Trace-based Collaborative Learning System. Journal of computing and information technology, 18 (3), 207-219. https://doi.org/10.2498/cit.1001410
MLA 8th Edition
Lafifi, Yacine, et al. "Trace-based Collaborative Learning System." Journal of computing and information technology, vol. 18, no. 3, 2010, pp. 207-219. https://doi.org/10.2498/cit.1001410. Accessed 21 Jul. 2019.
Chicago 17th Edition
Lafifi, Yacine, Noureddine Gouasmi, Khaled Halimi, Wassila Herkas, Nassima Salhi and Assia Ghodbani. "Trace-based Collaborative Learning System." Journal of computing and information technology 18, no. 3 (2010): 207-219. https://doi.org/10.2498/cit.1001410
Harvard
Lafifi, Y., et al. (2010). 'Trace-based Collaborative Learning System', Journal of computing and information technology, 18(3), pp. 207-219. https://doi.org/10.2498/cit.1001410
Vancouver
Lafifi Y, Gouasmi N, Halimi K, Herkas W, Salhi N, Ghodbani A. Trace-based Collaborative Learning System. Journal of computing and information technology [Internet]. 2010 [cited 2019 July 21];18(3):207-219. https://doi.org/10.2498/cit.1001410
IEEE
Y. Lafifi, N. Gouasmi, K. Halimi, W. Herkas, N. Salhi and A. Ghodbani, "Trace-based Collaborative Learning System", Journal of computing and information technology, vol.18, no. 3, pp. 207-219, 2010. [Online]. https://doi.org/10.2498/cit.1001410

Abstracts
The users of any educational software may leave traces which concern all their activities. In collaborative learning context, these traces are very voluminous and very heterogeneous. They are the results of various interactions between the actors themselves, and between the actors and the system. Hence, first, they must be collected and filtered. Then, these traces must be analyzed to help or support these actors (the tutor in his task of monitoring learners and the teacher-author in his task of creating educational courses).
It is this context that defines our research work, which is focused on implementing a collaborative learning system based on traces called SYCATA (SYstème pour la Collecte et l’Analyse des Traces d’Apprentissage collaboratif). SYCATA collects all traces of actors’ activities (especially learners) and groups them into five categories. It offers a multitude of forms (graphical, numerical or mixed) to show these traces to the tutors and the authors. Some traces may be viewed by learners to promote their pedagogical activities and raise their awareness. SYCATA was implemented and experimented with a sample of university students where good results have been obtained.

Hrčak ID: 59535

URI
https://hrcak.srce.hr/59535

Visits: 991 *