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A Novel Approach for Group Formation in Collaborative Learning using Learner Preferences

Publication Type : Conference Paper

Thematic Areas : Amrita e-Learning Research Lab

Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

Source : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Institute of Electrical and Electronics Engineers Inc. (2017)

Url : https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85042631402&doi=10.1109%2fICACCI.2017.8126064&partnerID=40&md5=1bef108c3456ca68c2439377648e18bb

ISBN : 9781509063673

Keywords : Clustering, Collaborative learning, Communication skills, Demographic features, Group formations, K-means, Learner satisfactions, Learning algorithms, Learning effectiveness, Learning systems

Campus : Amritapuri

School : School of Engineering

Center : E-Learning

Department : E-Learning, Electrical and Electronics

Verified : Yes

Year : 2017

Abstract : Collaborative learning is widely accepted as an approach to promote learning effectiveness and student satisfaction. However, the quality and outcomes of collaboration depend upon a number of factors, among which group formation plays an important role. Existing approaches take into account groups formed through random assignment or based on certain criteria such as academic performance, demographic features, and communication skills. This paper proposes an approach where preferences of learners in terms of the composition of the group to which they would like to belong are taken into account. Machine learning algorithm (K-Means) is applied to cluster large learner groups and to analyze their preferences. Further, prior knowledge and communication skills of learners are likely to influence effectiveness of collaborative learning. Therefore, these two factors are considered in addition to learner preferences. Initially, groups are formed using learner preferences. Then an attempt is made to include learners with good academic performance and communication skills in each group. Results from this study shows that the proposed approach for group formation enhances learner satisfaction in collaborative learning, which is likely to improve learning outcomes.

Cite this Research Publication : N. Joseph, Pradeesh, N., Chatterjee, S., and Kamal Bijlani, “A Novel Approach for Group Formation in Collaborative Learning using Learner Preferences”, in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, 2017.

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