Game-Based Learning Analytics in Physics Playground
Well-designed digital games hold promise as effective learning environments. However, designing games that support both learning and engagement without disrupting flow is quite tricky. In addition to including various game design features (e.g., interactive problem solving, adaptive challenges, and...
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Veröffentlicht in: | Grantee Submission 2019 |
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Format: | Report |
Sprache: | eng |
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Zusammenfassung: | Well-designed digital games hold promise as effective learning environments. However, designing games that support both learning and engagement without disrupting flow 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 the 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, (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. [This chapter was published in: M. Chang & A. Tlili (Eds.), "Data Analytics Approaches in Educational Games and Gamification Systems" (pp. 69-93). New York, NY: Springer.] |
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DOI: | 10.1007/978-981-32-9335-9_4 |