This paper is divided into four main parts. In the first part of the study, we identified the most significant factors that affect the performance of groups in collaborative learning situations. The results showed that the extent of communication, interactions and involvement/participation...

This paper is divided into four main parts. In the first part of the study, we identified the most significant factors that affect the performance of groups in collaborative learning situations. The results showed that the extent of communication, interactions and involvement/participation...

This article proposes an automatic group formation method applying the particle swarm optimization (PSO) algorithm to boost the quality of students' online interactions. The groups were heterogeneous regarding their levels of knowledge and their interests, and three different leadership roles...

This article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using...