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Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis

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Diagrammatic Representation and Inference (Diagrams 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12909))

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Abstract

The paper describes the process of aggregating primary learning data in the form of learning digital footprints for managing educational process using cognitive visualization techniques. The over-arching process of transition from the learning data to competency diagrams and concentrate them into Cognitive Maps of Cnowledge Diagnosis that. The competency profile, represented as a radar-chart diagram, is compressed into a cognitive map, allowing interpreting this information during decision making by faculty and administrative staff. This allows generalizing results for groups of students. The results of using competency profiles and respective cognitive maps to analyze the results of summative assessments, final, and cross-curricular exams are provided as an illustration of the proposed approach.

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Author information

Authors and Affiliations

  1. Siberian Federal University, Zheleznogorsk, Russia

    Viktor Uglev

  2. Volgograd State Technical University, Volgograd, Russia

    Oleg Sychev

Authors
  1. Viktor Uglev
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  2. Oleg Sychev
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Corresponding author

Correspondence to Viktor Uglev .

Editor information

Editors and Affiliations

  1. Jadavpur University, Kolkata, India

    Amrita Basu

  2. University of Cambridge, Cambridge, UK

    Gem Stapleton

  3. Lancaster University in Leipzig, Leipzig, Germany

    Sven Linker

  4. Deakin University, Burwood, VIC, Australia

    Catherine Legg

  5. Kyoto University, Kyoto, Japan

    Emmanuel Manalo

  6. Universidade Federal Fluminense, Niterói, Brazil

    Petrucio Viana

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Uglev, V., Sychev, O. (2021). Concentrating Competency Profile Data into Cognitive Map of Knowledge Diagnosis. In: Basu, A., Stapleton, G., Linker, S., Legg, C., Manalo, E., Viana, P. (eds) Diagrammatic Representation and Inference. Diagrams 2021. Lecture Notes in Computer Science(), vol 12909. Springer, Cham. https://doi.org/10.1007/978-3-030-86062-2_46

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  • DOI: https://doi.org/10.1007/978-3-030-86062-2_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86061-5

  • Online ISBN: 978-3-030-86062-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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