Educational Game Design and Evaluation from a Learning Analytics Perspective
- DOI
- 10.2991/978-2-38476-440-2_26How to use a DOI?
- Keywords
- Educational games; learning analytics; learner profiling; effectiveness evaluation
- Abstract
This paper discusses the design and evaluation methods of educational games under the perspective of learning analytics. As a product of the deep integration of education and games, educational games aim to improve learners’ learning efficiency and effectiveness by enhancing the interactivity and fun of learning. This paper first outlines the basic concepts of educational games and learning analytics, and analyzes the application of learning analytics in educational game design, especially the importance of learner profiling, including traditional profiling and unique computer operation ability analysis. Further, this paper discusses the need for “adaptive” learning analytics for educational games in the era of big data, where learning history data are collected and analyzed to tailor the gamified learning environment for each learner. Finally, this paper proposes a method for evaluating the effectiveness of educational games based on learning analytics, including detailed analysis of student accounts, game duration, game phases, and interaction traces, aiming to provide empirical support for the design and optimization of educational games.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ying Wang AU - Peng Deng PY - 2025 DA - 2025/07/10 TI - Educational Game Design and Evaluation from a Learning Analytics Perspective BT - Proceedings of the 2025 11th International Conference on Humanities and Social Science Research(ICHSSR 2025) PB - Atlantis Press SP - 217 EP - 222 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-440-2_26 DO - 10.2991/978-2-38476-440-2_26 ID - Wang2025 ER -