Abstract
Game-based learning is becoming one of the major trends in education as it brings together numerous benefits. However, due to the open-ended and less linear nature of these environments, it is often complicated for instructors to really understand the learning process of students within a game. Learning analytics can play a meaningful role in transforming learning pathways in games into interpretable information for teachers. In this study, we propose three novel metrics that focus more on the learning process of students than on the outcomes. We apply these metrics to data from The Radix Endeavor, an inquiry-based learning game on STEM topics that has been tested in multiple schools across the US. We also report correlations between these metrics and in-game learning outcomes and discuss the importance and potential use of metrics to understand students’ learning processes.
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Ruipérez-Valiente, J.A., Rosenheck, L., Kim, Y.J. (2019). What Does Exploration Look Like? Painting a Picture of Learning Pathways Using Learning Analytics. In: Ifenthaler, D., Kim, Y.J. (eds) Game-Based Assessment Revisited. Advances in Game-Based Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-15569-8_14
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DOI: https://doi.org/10.1007/978-3-030-15569-8_14
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