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 en...

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Bibliographic Details
Main Authors: Geremias, Matheus Soppa, Carvalho Da Silveira, Eric, Elibio, Bruno Correa, Nazario Alves, Bruno, De Marco, Lavinia Rafaela, Cerigueli Dutra, Taynara, Maschio, Eleandro, Gasparini, Isabela
Format: Conference Proceeding
Language:English
Subjects:
Correlation
Data visualization
Education
educational digital games
Game Learning Analytics
Games
Search engines
Stakeholders
Systematic mapping
Systematics
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Summary: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.
ISSN:2161-377X
DOI:10.1109/ICALT61570.2024.00021