Game Learning Analytics in Educational Digital Games: Preliminary Results of a Systematic Mapping of Analysis Techniques and Visualization Strategies

This paper presents the preliminary results of a systematic mapping fulfilled to identify how Game Learning Analytics (GLA) is being applied in education digital games, verifying which are the most utilized analyses and how their results are visualized. From the 348 studies returned by the search engines, only 76 of them met the defined selection criteria. We concluded that descriptive analysis is the most utilized form of GLA, followed by correlation and clusterization. Besides, line charts, bar charts, and boxplots are the visualization types that are most present in the studies.