Learner model: A Learning Analytics Tool for Amazigh Mooc

[1]. Lee, J. S. (2022). An editable learner model for text recommendation for language learning. ReCALL, 34(1), 51-65.
[2]. Urdaneta-Ponte, M. C., Mendez-Zorrilla, A., &Oleagordia-Ruiz, I. (2021). Recommendation systems for education: systematic
review. Electronics, 10(14), 1611.
[3]. Du, D., Xu, F., Yu, L., Zhang, C., Lu, X., Yuan, H., ... & Chen, Z. (2010). The tight junction protein, occludin, regulates the
directional migration of epithelial cells. Developmental cell, 18(1), 52-63.
[4]. Saba, F., & Shearer, R. L. (1994). Verifying key theoretical concepts in a dynamic model of distance education. American Journal of
Distance Education, 8(1), 36-59.
[5]. Carmona, C., &Conejo, R. (2004, August). A learner model in a distributed environment. In International Conference on Adaptive
Hypermedia and Adaptive Web-Based Systems (pp. 353-359). Springer, Berlin, Heidelberg.
[6]. Chen, S. (2002). A cognitive model for non–linear learning in hypermedia programmes. British journal of educational technology,
33(4), 449-460.
[7]. Carmona, C., &Conejo, R. (2004, August). A learner model in a distributed environment. In International Conference on Adaptive
Hypermedia and Adaptive Web-Based Systems (pp. 353-359). Springer, Berlin, Heidelberg.
[8]. Lokare, V. T., Netak, L. D., & Jadhav, N. S. (2021, December). Cognition Prediction Model for MOOCs Learners Based on ANN. In
International Conference on Intelligent Human Computer Interaction (pp. 173-183). Springer, Cham.
[9]. Zapata-Rivera, D. (2021). Open student modeling research and its connections to educational assessment. International Journal of
Artificial Intelligence in Education, 31(3), 380-396.
[10]. Denoël, V., Bruyère, O., Louppe, G., Bureau, F., D’orio, V., Fontaine, S., ... &Saegerman, C. (2022). Decision-based interactive
model to determine re-opening conditions of a large university campus in Belgium during the first COVID-19 wave. Archives of
Public Health, 80(1), 1-13.
[11]. da SILVA, L. M., Dias, L. P., Barbosa, J. L., Rigo, S. J., dos ANJOS, J., Geyer, C. F., &Leithardt, V. R. (2022). Learning analytics
and collaborative groups of learners in distance education: a systematic mapping study. Informatics in Education, 21(1), 113-146.
[12]. Abyaa, A., Khalidi Idrissi, M., & Bennani, S. (2019). Learner modelling: systematic review of the literature from the last 5 years.
Educational Technology Research and Development, 67(5), 1105-1143.
[13]. Nguyen, L., & Do, P. (2008). Learner model in adaptive learning. World Academy of Science, Engineering and Technology, 45(70),
395-400.[14]. Batchakui, B., Djotio, T., Moukouop, I., &Ndouna, A. (2021). Object-Based Trace Model for Automatic Indicator Computation in the
Human Learning Environments. International Journal of Emerging Technologies in Learning (iJET), 16(21), 26-41.
[15]. Chaabi, Y., & Al-Ashmoery, Y. (2021, December). Development of a Learning Analytics extension in Open edX. In 2021 International
Conference of Modern Trends in Information and Communication Technology Industry (MTICTI) (pp. 1-6). IEEE.
[16]. Ndiyae, N. M., Chaabi, Y., Lekdioui, K., &Lishou, C. (2019, March). Recommending system for digital educational resources based
on learning analysis. In Proceedings of the New Challenges in Data Sciences: Acts of the Second Conference of the Moroccan
Classification Society (p. 15). ACM.
[17]. Chaabi, Y. Ndeye Massata, N, Lekdioui, K. (2020). Personalized Recommendation Of Educational Resources In A MOOC Using A
Combination Of Collaborative Filtering And Semantic Content Analysis. International Journal of Scientific & Technology Research,
3243 - 3248.
[18]. Fessakis, G., Tatsis, K., &Dimitracopoulou, A. (2008). Supporting “learning by design” activities using group blogs. Journal of
Educational Technology & Society, 11(4), 199-212.
[19]. Touahni, R., Messoussi, R., &Oumaira, I. (2011). Instrumentation des activités des tuteurs à l’aide d’un système multi-agents
d’analyse automatique des interactions. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, 14.