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Meta-learning Process Analytics for Adaptive Tutoring Systems

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Advances in Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1287))

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Abstract

The effectiveness of the learning process depends to a large extent on the provision of an adequate instruction program. Individual approach to learners’ needs posits the necessity to comply with the characteristics of their preferences and predispositions for learning, which ought to be considered in tutoring content delivery. Adapting the instruction material to a particular learner requires intelligent tutoring system (ITS). In turn, the adaptation mechanism itself is based on comprehensive data analytics derived from the learning environment and the learner’s behaviour as well. The paper presents a new approach in which intelligent tutor can deliver a support on meta level of learning process through analytics and adaptability. Most commonly, the analytics and adaptation in ITS are targeted mainly at the instruction program, but since the individual approach assumes that each learner should be treated individually, we must consider replacing active role of a human teacher, by the functionality of the intelligent tutor. Therefore, the role of supervising the learning process depends on the user themselves. It means that the meta-learning process has to be the subject of analysis and adjustment. Users usually do not have enough knowledge about how to learn, and for that reason the task of monitoring learner’s performance and adjusting all activities should be ensured by the system.

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Authors and Affiliations

  1. Wroclaw University of Economics and Business, ul. Komandorska 118/120, 53-345, Wrocław, Poland

    Gracja Niesler & Andrzej Niesler

Authors
  1. Gracja Niesler
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  2. Andrzej Niesler
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Correspondence to Gracja Niesler .

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Editors and Affiliations

  1. Wroclaw University of Economics and Business, Wrocław, Poland

    Marcin Hernes

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

  3. University of Newcastle, Newcastle, Australia

    Edward Szczerbicki

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Niesler, G., Niesler, A. (2020). Meta-learning Process Analytics for Adaptive Tutoring Systems. In: Hernes, M., Wojtkiewicz, K., Szczerbicki, E. (eds) Advances in Computational Collective Intelligence. ICCCI 2020. Communications in Computer and Information Science, vol 1287. Springer, Cham. https://doi.org/10.1007/978-3-030-63119-2_34

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  • DOI: https://doi.org/10.1007/978-3-030-63119-2_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63118-5

  • Online ISBN: 978-3-030-63119-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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