Smart Collaborative Learning

Abstract

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.

The Effect of Collaborative Learning Assisted by Audiovisual Media on Learning Motivation and Student Learning Outcomes

“…Collaborative learning is carried out with the aim of building students' understanding cognitively, socially, and also in terms of motivation [17]. Some features that can be accommodated in collaborative learning are (1) the use of online tools to provide instructions to students, (2) interaction and communication between students and teachers, and (3) cooperation as an approach to solving problems [18].…”