Analytics for Game-Based Learning




game-based assessment , learning analytics, editorial


The purpose of this special section is to collect in one place how data in game-based learning environments may be turned into valuable analytics for student assessment, support of learning, and/or improvement of the game, using existing or emerging empirical research methodologies from various fields, including computer science, software engineering, educational data mining, learning analytics, learning sciences, statistics, and information visualization. Four contributions form this special section, which will inspire future high-quality research studies and contribute to the growing knowledge base of learning analytics and game-based learning research and practice.


Alonso-Fernández, C., Calvo-Morata, A., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2019). Applications of data science to game learning analytics data: A systematic literature review. Computers & Education, 141, 103612.

Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. S. (2016). Digital games, design, and learning: A systematic review and meta-analysis. Review of Educational Research, 86(1), 79–122.

Ifenthaler, D., & Gibson, D. C. (2019). Opportunities of analytics in challenge-based learning. In A. Tlili & M. Chang (Eds.), Data analytics approaches in educational games and gamification systems (pp. 55–68). Springer.

Kim, Y. J., & Ifenthaler, D. (2019). Game-based assessment: The past ten years and moving forward. In D. Ifenthaler & Y. J. Kim (Eds.), Game-based assessment revisited (pp. 3–12). Springer.

Loh, C. S., Sheng, Y., & Ifenthaler, D. (Eds.). (2015). Serious games analytics: Methodologies for performance measurement, assessment, and improvement. Springer.




How to Cite

Kim, Y. J. ., Valiente, J. A. R., Ifenthaler, D., Harpstead, E., & Rowe, E. (2022). Analytics for Game-Based Learning. Journal of Learning Analytics, 9(3), 8-10.



Special Section on Analytics for Game-based Learning