Implementation of Group Formation Algorithms in the ELARS Recommender System

Authors

  • Tina Knez University of Rijeka, Department of Informatics
  • Martina Holenko Dlab University of Rijeka, Department of Informatics
  • Natasa Hoic-Bozic University of Rijeka, Department of Informatics

DOI:

https://doi.org/10.3991/ijet.v12i11.7238

Keywords:

algorithms, collaborative learning, ELARS, group formation

Abstract


Collaborative learning is recognized as an effective way of gaining knowledge in an online environment. Therefore, e-courses frequently include collaborative e-learning activities (e-tivities) that are performed in pairs or small groups of students. One of the challenges for teachers who organize e-tivities is the effective group forming. This paper presents algorithms that can be used to divide a set of students participating in an e-tivity to homogeneous or heterogeneous groups. The criterion for automatic group formation includes the following characteristics: the program of study, gender, learning styles preferences, Web 2.0 tools preferences, knowledge level and activity level. Designed algorithms were implemented in the educational recommender system ELARS and tested in the context of e tivities.

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Published

2017-11-16

How to Cite

Knez, T., Holenko Dlab, M., & Hoic-Bozic, N. (2017). Implementation of Group Formation Algorithms in the ELARS Recommender System. International Journal of Emerging Technologies in Learning (iJET), 12(11), pp. 198–207. https://doi.org/10.3991/ijet.v12i11.7238

Issue

Section

Short Papers