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Using Boolean- and Self-Enforcing-Networks for Mathematical E-Tutorial Systems

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Advances in Computational Intelligence (IWANN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11507))

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Abstract

Mathematical thinking as an important instrument in science is a stumbling block for many students in the first years. A lot of investigations occur to help the students understanding the principles of mathematics. The proposed tutorial system for the basics focuses on the analysis and visualizations of the solution algorithms and solution processes with Boolean Networks and Self-Enforcing Networks. The students can check not only the correctness of their results, but also if the solution steps are complete. In addition, in case of wrong results the students can check in which step of the solution they made a mistake and what kind of mistake. The goal is to promote the explorative learning and to help understanding the problems through self-recognition.

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Authors and Affiliations

  1. CoBASC Research Group, Universitätsstr. 12, 45117, Essen, Germany

    Christina Klüver & Jürgen Klüver

Authors
  1. Christina Klüver
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  2. Jürgen Klüver
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Correspondence to Christina Klüver .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Andreu Catala

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Klüver, C., Klüver, J. (2019). Using Boolean- and Self-Enforcing-Networks for Mathematical E-Tutorial Systems. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science(), vol 11507. Springer, Cham. https://doi.org/10.1007/978-3-030-20518-8_70

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  • DOI: https://doi.org/10.1007/978-3-030-20518-8_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20517-1

  • Online ISBN: 978-3-030-20518-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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