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2019 | OriginalPaper | Chapter

4. Game-Based Learning Analytics in Physics Playground

Authors : Valerie Shute, Seyedahmad Rahimi, Ginny Smith

Published in: Data Analytics Approaches in Educational Games and Gamification Systems

Publisher: Springer Singapore

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Abstract

Well-designed digital games hold promise as effective learning environments. However, designing games that support both learning and engagement without disrupting flow [1] is quite tricky. In addition to including various game design features (e.g., interactive problem solving, adaptive challenges, and player control of gameplay) to engage players, the game needs ongoing assessment and support of players’ knowledge and skills. In this chapter, we (a) generally discuss various types of learning supports and their influence on learning in educational games, (b) describe stealth assessment in the context of the design and development of particular supports within a game called Physics Playground [2], (c) present the results from recent usability studies examining the effects of our new supports on learning, and (d) provide insights into the future of game-based learning analytics in the form of stealth assessment that will be used for adaptation.

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previous chapter Opportunities for Analytics in Challenge-Based Learning
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Metadata
Title
Game-Based Learning Analytics in Physics Playground
Authors
Valerie Shute
Seyedahmad Rahimi
Ginny Smith
Copyright Year
2019
Publisher
Springer Singapore
Book
Data Analytics Approaches in Educational Games and Gamification Systems

Print ISBN: 978-981-329-334-2

Electronic ISBN: 978-981-329-335-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-32-9335-9_4

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