GLBARD: A system to assist in the capture and data analysis in educational games

• Douglas Silva UFAM
• Fernanda Pires UEA
• Rafaela Melo UFAM
• Marcela Pessoa UEA

DOI: https://doi.org/10.5753/sbgames_estendido.2022.226095

Abstract

Although many researches point out that games can be excellent tools for learning, the learning process in these environments is still a challenge. In this context, studies in Game Learning Analytics (GLA) offer new possibilities for learning assessment. However, existing GLA templates are not generic, which has specific, non-reusable template templates. This article presents a proposal for a system called GLBoard, based on a generic data model, whose objective is to capture and analyze data in educational games. The system of a data architecture, as well as a set of tools, integration of GLA to enable games and a visualization of the information.

Keywords: Game learning analytics, educational games, learning analytics

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