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in-Game Raw Data Collection and Visualization in the Context of the “ThimelEdu” Educational Game

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Computer Supported Education (CSEDU 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1220))

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Abstract

The widespread use of computer-based learning environments and the rise of big data have positioned learning analytics as a fundamental component of educational technology. Learning analytics provides methods for capturing and assessing student behaviors. In game-based learning environments, however, the development and integration of learning analytics has not yet reached their full potential. Research thus far has focused on the specification of learning analytics frameworks, implementation of different techniques and methods for the collection of data, and the development of automated assessment tools. Unfortunately, much work overlooks the importance of strategic data collection and therefore risks basing decisions on flawed or incomplete data. In this paper, we present our library that seeks to capture data in the context of a serious game, designed to be compatible with the Experience API (xAPI) and implemented in the Unity 3D game engine. Through this work, we aim to emphasize and extend the use of learning analytics in serious games, simplify the production of data, and record events with educational value.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Crete, Greece

    Nikolas Vidakis, Anastasios Kristofer Barianos, Apostolos Marios Trampas & Kostas Vassilakis

  2. Department of Preschool Education, Faculty of Education, University of Crete, Rethimnon, Crete, Greece

    Stamatios Papadakis & Michail Kalogiannakis

Authors
  1. Nikolas Vidakis
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  2. Anastasios Kristofer Barianos
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  3. Apostolos Marios Trampas
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  4. Stamatios Papadakis
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  5. Michail Kalogiannakis
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  6. Kostas Vassilakis
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Corresponding author

Correspondence to Michail Kalogiannakis .

Editor information

Editors and Affiliations

  1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    H. Chad Lane

  2. Anderson Academic Commons, University of Denver, Denver, CO, USA

    Susan Zvacek

  3. School of Engineering, University of Ulster, Newtownabbey, UK

    James Uhomoibhi

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Vidakis, N., Barianos, A.K., Trampas, A.M., Papadakis, S., Kalogiannakis, M., Vassilakis, K. (2020). in-Game Raw Data Collection and Visualization in the Context of the “ThimelEdu” Educational Game. In: Lane, H.C., Zvacek, S., Uhomoibhi, J. (eds) Computer Supported Education. CSEDU 2019. Communications in Computer and Information Science, vol 1220. Springer, Cham. https://doi.org/10.1007/978-3-030-58459-7_30

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  • DOI: https://doi.org/10.1007/978-3-030-58459-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58458-0

  • Online ISBN: 978-3-030-58459-7

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