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The current state of using learning analytics to measure and support K-12 student engagement: A scoping review

Bond, M; Viberg, O; Bergdahl, N; (2023) The current state of using learning analytics to measure and support K-12 student engagement: A scoping review. In: ACM International Conference Proceeding Series. (pp. pp. 240-249). ACM Green open access

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Abstract

Student engagement has been identified as a critical construct for understanding and predicting educational success. However, research has shown that it can be hard to align data-driven insights of engagement with observed and self-reported levels of engagement. Given the emergence and increasing application of learning analytics (LA) within K-12 education, further research is needed to understand how engagement is being conceptualized and measured within LA research. This scoping review identifies and synthesizes literature published between 2011-2022, focused on LA and student engagement in K-12 contexts, and indexed in five international databases. 27 articles and conference papers from 13 different countries were included for review. We found that most of the research was undertaken in middle school years within STEM subjects. The results show that there is a wide discrepancy in researchers' understanding and operationalization of engagement and little evidence to suggest that LA improves learning outcomes and support. However, the potential to do so remains strong. Guidance is provided for future LA engagement research to better align with these goals.

Type: Proceedings paper
Title: The current state of using learning analytics to measure and support K-12 student engagement: A scoping review
Event: LAK 2023: 13th International Learning Analytics and Knowledge Conference
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3576050.3576085
Publisher version: https://doi.org/10.1145/3576050.3576085
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Social Research Institute
URI: https://discovery.ucl.ac.uk/id/eprint/10171811
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