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The Time Travel Exploratory Games Approach: An Artificial Intelligence Perspective

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Computer Supported Education (CSEDU 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1624))

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Abstract

The authors deploy Artificial Intelligence techniques for the design of digital games aiming at affective and effective education. There is a case of environmental education studied in some detail. The games in focus are time travel exploratory games that enable learners to find data from the past. The narrative is traveling back in time – virtually – and exploring the past – really. Successful learners return with valuable findings. But sometimes, human learners fail. Not everyone is familiar with time travel. How might a learner behave when finding herself back in time in a foreign virtual world? Preparing the exploratory digital game for unforeseeable learners’ behavior is an involved planning task. For this purpose, advanced technologies of Artificial Intelligence for planning in dynamic environments such as complex industrial processes are adopted and adapted. This leads to storyboarding of learners’ experiences. From the Artificial Intelligence perspective, the time travel exploratory game itself becomes an AI system. It adapts to the learners needs and desires aiming at fun when playing the game and at success and effectiveness.

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Acknowledgement

The two authors gratefully acknowledge the patience of all the members of the editorial team during the period of time in which this contribution was in progress and, apparently, Hofstadter’s Law ([14], p. 152) was ruling.

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Authors and Affiliations

  1. Erfurt University of Applied Sciences, Altonaer Str. 25, 99085, Erfurt, Germany

    Oksana Arnold

  2. ADICOM Software, Frauentorstr. 11, 99423, Weimar, Germany

    Klaus P. Jantke

Authors
  1. Oksana Arnold
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  2. Klaus P. Jantke
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Corresponding author

Correspondence to Klaus P. Jantke .

Editor information

Editors and Affiliations

  1. Institute of Education, University of Szeged, Szeged, Hungary

    Beno Csapó

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

    James Uhomoibhi

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Arnold, O., Jantke, K.P. (2022). The Time Travel Exploratory Games Approach: An Artificial Intelligence Perspective. In: Csapó, B., Uhomoibhi, J. (eds) Computer Supported Education. CSEDU 2021. Communications in Computer and Information Science, vol 1624. Springer, Cham. https://doi.org/10.1007/978-3-031-14756-2_3

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  • DOI: https://doi.org/10.1007/978-3-031-14756-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14755-5

  • Online ISBN: 978-3-031-14756-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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