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2019 | OriginalPaper | Chapter

Improving Serious Games Analyzing Learning Analytics Data: Lessons Learned

Authors : Cristina Alonso-Fernández, Iván Pérez-Colado, Manuel Freire, Iván Martínez-Ortiz, Baltasar Fernández-Manjón

Published in: Games and Learning Alliance

Publisher: Springer International Publishing

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Abstract

Serious games adoption is increasing, although their penetration in formal education is still surprisingly low. To improve their outcomes and increase their adoption in this domain, we propose new ways in which serious games can leverage the information extracted from player interactions, beyond the usual post-activity analysis. We focus on the use of: (1) open data which can be shared for research purposes, (2) real-time feedback for teachers that apply games in schools, to maintain awareness and control of their classroom, and (3) once enough data is gathered, data mining to improve game design, evaluation and deployment; and allow teachers and students to benefit from enhanced feedback or stealth assessment. Having developed and tested a game learning analytics platform throughout multiple experiments, we describe the lessons that we have learnt when analyzing learning analytics data in the previous contexts to improve serious games.

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previous chapter The RAGE Software Portal: Toward a Serious Game Technologies Marketplace

next chapter A Toolkit for Creating Cross-Reality Serious Games

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Title: Improving Serious Games Analyzing Learning Analytics Data: Lessons Learned
Authors: Cristina Alonso-Fernández
Iván Pérez-Colado
Manuel Freire
Iván Martínez-Ortiz
Baltasar Fernández-Manjón
Publisher: Springer International Publishing
Book: Games and Learning Alliance
Print ISBN: 978-3-030-11547-0

Electronic ISBN: 978-3-030-11548-7

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-11548-7_27

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