Abstract

• In most recent years, many educational research workers pointed out that collaborative learning should be widely used in education systems because collaboration skill has increasingly become an essential skill of modern society. Moreover, collaborative learning can encourage the improvement of students’ comprehension about their studying. However, it is vitally important to notice that students have different common interests which mean various habits, likes and dislikes, and different learning styles. From the view of educational informatization, we therefore propose Student Collaborative System (SCS) to help in grouping students in accordance with their common interests in this paper. In our proposed system (SCS), students are grouped based on the analysis of common interests using K-Means clustering method. This system is developed using Python as programming language and Spyder (Python 3.7) as integrated development environment (IDE).