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Validation of Student Psychological Player Types for Game-Based Learning in University Math Lectures

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Information and Communication Technology and Applications (ICTA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1350))

Abstract

Game-based learning can make educational activities more manageable and planned, and therefore contribute to the achievement of a more productive educational result. To enable adaptive and personalized learning process, the knowledge of learning game player psychological types is required. Player type can be established using a questionnaire such as HEXAD. We present the analysis of the student survey results using statistical analysis, correlation analysis, Principal Component Analysis (PCA) and Exploratory Factor Analysis (EFA). The simplification of the questionnaire is suggested. We shortened the 30-item HEXAD survey to a 12-item survey (named sHEXAD) using a factor analysis on responses from university course students. Testing demonstrated that the items of the sHEXAD survey correlated and well agreed with the original HEXAD survey items and could be used to derive the same outcomes.

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Author information

Authors and Affiliations

  1. Department of Applied Mathematics, Kaunas University of Technology, Kaunas, Lithuania

    Tatjana Sidekerskienė

  2. Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland

    Robertas Damaševičius

  3. Department of Applied Informatics, Vytautas Magnus University, Kaunas, Lithuania

    Rytis Maskeliūnas

Authors
  1. Tatjana Sidekerskienė
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  2. Robertas Damaševičius
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  3. Rytis Maskeliūnas
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Correspondence to Tatjana Sidekerskienė .

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Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. Federal University of Technology Minna, Minna, Nigeria

    Bilkisu Muhammad-Bello

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Sidekerskienė, T., Damaševičius, R., Maskeliūnas, R. (2021). Validation of Student Psychological Player Types for Game-Based Learning in University Math Lectures. In: Misra, S., Muhammad-Bello, B. (eds) Information and Communication Technology and Applications. ICTA 2020. Communications in Computer and Information Science, vol 1350. Springer, Cham. https://doi.org/10.1007/978-3-030-69143-1_20

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  • DOI: https://doi.org/10.1007/978-3-030-69143-1_20

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  • Online ISBN: 978-3-030-69143-1

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