The use of Game Learning Analytics in Educational Digital Games: A Systematic Mapping

Abstract


This paper presents a Systematic Mapping conducted to identify the applications of Game Learning Analytics in educational digital games. We analyzed 76 studies. We concluded that most papers utilized the tracker developed by the e-UCM research team and that data such as user ID and their actions were the most extracted. Besides, we verified that there are few created metrics, as most studies only used raw information in their analysis. At last, the found algorithms can be divided based on their application, into the following groups: regression, machine learning, clusterization, modeling, and others.
Keywords: Systematic mapping, Game Learning Analytics, Educational Digital Games

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Published
2024-11-04
GEREMIAS, Matheus Soppa; DUTRA, Taynara Cerigueli; MASCHIO, Eleandro; GASPARINI, Isabela. The use of Game Learning Analytics in Educational Digital Games: A Systematic Mapping. In: BRAZILIAN SYMPOSIUM ON COMPUTERS IN EDUCATION (SBIE), 35. , 2024, Rio de Janeiro/RJ. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 737-749. DOI: https://doi.org/10.5753/sbie.2024.242311.