Adapt Learning Path by Recommending Problems to Struggling Learners

Youssef Jdidou; Souhaib Aammou; Mohamed Khaldi

International Journal of Emerging Technologies in Learning (iJET) Vol. 16, No. 20 (Oct 25, 2021) pp. 163–178

The objective of this work is the creation of a resource recommendation ap-plication in Python integrated into the code of the virtual edX platform, which appears as an additional tab in each course. By selecting this tab, learners will have access...

Language: English

Enhancing the Interoperability of Multimedia Learning Objects Based on the Ontology Mapping

Jihad Chaker; Mohamed Khaldi; Souhaib Aammou

International Journal of Emerging Technologies in Learning (iJET) Vol. 9, No. 5 (Sep 14, 2014) pp. 40–44

This article addresses the interoperability between the semantic learning platforms and the educational resources banks, more precisely between the LOM and MPEG-7 standards. LOM is a set of metadata associated with e-learning content, while MPEG-7...

Adaptive Hypermedia Systems for E-Learning

Aammou Souhaib; Khaldi Mohamed; El Kamal Eddine; Ibrahimi Ahmed

International Journal of Emerging Technologies in Learning (iJET) Vol. 5, No. 2010 (Mar 23, 2010)

The domain of traditional hypermedia is revolutionized by the arrival of the concept of adaptation. Currently the domain of Adaptive Hypermedia Systems (AHS) is constantly growing. A major goal of current research is to provide a personalized...

Architectural Models of Adaptive Hypermedia Based on the Use of Ontologies

Aammou Souhaib; Khaldi Mohamed; El Kadiri Kamal Eddine

Optimizing Learning with Digital Readers

The domain of traditional hypermedia is revolutionized by the arrival of the concept of adaptation. Currently, the domain of AHS (adaptive hypermedia systems) is constantly growing. A major goal of current research is to provide a personalized...