Smart Collaborative Learning

Ouidad Akhrif, Chaymae Benfares, Younès El Idrissi, Nabil Hmina

OAI: oai:igi-global.com:249209 • DOI: 10.4018/IJSST.2019070103

Technologically enhanced learning has shifted from digital resources to smart components to afford more content, support tools, and provide learning guidance that meets a learner's needs and interests by delivering smart university services. Smart interaction is essential in smart university, it is a concept that offers new opportunities and new channels of communication between learners. This communication is reinforced by the concept of collaboration, an important factor for knowledge sharing. The current study concerns team building based on the recommendation of the most appropriate collaborator in order to make groups of learners promoting universal participation of all members of the team. The complexity of this problem requires collaborative filtering algorithms to find the potential collaborators for each learner, taking into account problem-solving as a parameter representing items of the recommendation matrix.

Biometrics Security and Forensics IT Security and Ethics