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Multi-agent Approach Towards Creating an Adaptive Learning Environment

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Recent Developments in Data Science and Intelligent Analysis of Information (ICDSIAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 836))

Abstract

The paper describes a concept of an intelligent agent-based tutoring system to guide students throughout the course material. The concept of adaptivity is applied to an adaptive education system, based on the profiling of students using the Felder and Silverman model of learning styles. Benefits that the multi-agent organization structure provides for an adaptive tutoring system are outlined. In this paper, a conceptual framework for adaptive learning systems is given. The framework is based on the idea that adaptivity is finding the best match between the learner’s profile and the course content’s profile. Learning styles of learners and content type of learning material are used to match the learner to the most suitable content.

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Author information

Authors and Affiliations

  1. Samara University, Samara, Russian Federation

    Maksim Korovin & Nikolay Borgest

Authors
  1. Maksim Korovin
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  2. Nikolay Borgest
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Corresponding author

Correspondence to Maksim Korovin .

Editor information

Editors and Affiliations

  1. Applied Mathematics Department, Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine

    Oleg Chertov

  2. Department of Economics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Tymofiy Mylovanov

  3. Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

    Yuriy Kondratenko

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  6. Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

    Vadim Stefanuk

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Korovin, M., Borgest, N. (2019). Multi-agent Approach Towards Creating an Adaptive Learning Environment. In: Chertov, O., Mylovanov, T., Kondratenko, Y., Kacprzyk, J., Kreinovich, V., Stefanuk, V. (eds) Recent Developments in Data Science and Intelligent Analysis of Information. ICDSIAI 2018. Advances in Intelligent Systems and Computing, vol 836. Springer, Cham. https://doi.org/10.1007/978-3-319-97885-7_22

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