Applying data mining to discover successful collaborative groups styles

Abstract

In a computer supported collaborative learning environment, students are organized into groups and work together to achieve a common goal, using the computer as a communication, collaborate and coordination tool. Under the premise that every student in a group behaves in a certain way to collaborate, thus demonstrating a learning style, this research demonstrates the existence of certain relationships between learning styles of students in a collaborative group and group academic performance. To discover these combinations of learning style, collaborative experiences were carried out with groups of degree students and data mining techniques was applied.