Understanding engagement patterns of game-based learning for children in CatnClever using learning analytics

Albuquerque, Josmario; Cordero, Kristina; Haehnel, Sebastian and Rienties, Bart (2024). Understanding engagement patterns of game-based learning for children in CatnClever using learning analytics. In: Proceedings of the Central European Conference on Information and Intelligent Systems, University of Zagreb Faculty of Organization and Informatics, pp. 19–26.

URL: https://archive.ceciis.foi.hr/public/conferences/2...

Abstract

Despite the potential of game-based learning (GBL) for young children, its effectiveness remains under-researched, particularly in preschool education. This study examines engagement data from 8,365 German preschoolers across 60,279 activities within the GBL app CatnClever. Using learning analytics, we aim to assess activity difficulty, learner effort, and performance without relying on formal assessment data. Findings suggest that difficulty aligns well with effort, suggesting optimal challenge levels. Key engagement moments were also identified, potentially informing further interventions. Overall, we stress the potential of learning analytics to deepen our understanding of young learners' interactions in GBL, paving the way for tailored educational strategies.

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