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Creating Collaborative Learning Groups in Intelligent Tutoring Systems

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8733))

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Abstract

Intelligent Tutoring Systems offer an attractive learning environment where learning process is adapted to students’ needs and preferences. More than 20 years of academic research demonstrates that learning in groups is more effective than learning individually. Therefore, it is motivating to work out procedure allowing a collaborative learning in Intelligent Tutoring Systems. In this paper original algorithm for creating collaborative learning groups is proposed. The research showed that students working in groups (generated by the proposed algorithm) achieved 18% better results than students working in randomly generated groups. It proves the effectiveness of the proposed algorithm and demonstrates that creating suitable learning groups is very important.

This research was financially supported by the Polish Ministry of Science and Higher Education.

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Bernacki, J., Kozierkiewicz-Hetmańska, A. (2014). Creating Collaborative Learning Groups in Intelligent Tutoring Systems. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-11289-3_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11288-6

  • Online ISBN: 978-3-319-11289-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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