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Analytics for Game-Based Learning

Authors :
Yoon Jeon Kim
José A. Ruipérez Valiente
Dirk Ifenthaler
Erik Harpstead
Elizabeth Rowe
Source :
Journal of Learning Analytics. 9:8-10
Publication Year :
2022
Publisher :
Society for Learning Analytics Research, 2022.

Abstract

The purpose of this special section is to collect in one place how data in game-based learning environments may be turned into valuable analytics for student assessment, support of learning, and/or improvement of the game, using existing or emerging empirical research methodologies from various fields, including computer science, software engineering, educational data mining, learning analytics, learning sciences, statistics, and information visualization. Four contributions form this special section, which will inspire future high-quality research studies and contribute to the growing knowledge base of learning analytics and game-based learning research and practice.

Details

ISSN :
19297750
Volume :
9
Database :
OpenAIRE
Journal :
Journal of Learning Analytics
Accession number :
edsair.doi...........c88b38720a44f5d987957cd6eee334f4