Grouping in collaborative e-learning environment based on interaction among students

• Published in: 2014 International Conference on Recent Trends in Information Technology pp. 1 - 5
• Main Author: Jagadish, D.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2014
• Subjects: Classification algorithms; Clustering algorithms; Collaboration; Collaborative environment; Collaborative work; elearning; Electronic learning; group formation; Information technology; KNN; moodle
• DOI: 10.1109/ICRTIT.2014.6996170

Collaborative learning is an online classroom can take the form of conversation between the whole classes or within smaller groups. Moodle (Modular Object-Oriented Dynamic Learning Environment) is a free and open source e-learning software platform, also known as a Learning Management System, or Virtual Learning Environment (VLE). As a web-based tool, Moodle offers the possible way to deliver courses which include an enormous variety of information sources - links to multimedia, websites and image - which are hard to deliver in a traditional teaching atmosphere. The converse (chat) activity module in moodle allows participants to encompass a realtime synchronous discussion in a moodle course. A teacher can organize users into groups within the course or within particular activities. This paper aims in efficient group formation of learners in a collaborative learning environment so that every individual in the group is benefitted. As a testing platform tenth standard Tamil text book is incorporated in to moodle. In this paper K-NN clustering algorithm is used to improve the group performance. This algorithm achieves good performance in terms of balancing the knowledge level among all the students.