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The current state of using learning analytics to measure and support K-12 student engagement: A scoping review
University of South Australia, Adelaide, Australia; University College London, London, United Kingdom.
KTH Royal Institute of Technology, Stockholm, Sweden.
Halmstad University, School of Education, Humanities and Social Science.ORCID iD: 0000-0001-6591-205x
2023 (English)In: LAK23: 13th International Learning Analytics and Knowledge Conference (LAK 2023), March 13–17, 2023, Arlington, TX, USA, New York, NY: Association for Computing Machinery (ACM), 2023, p. 240-249Conference paper, Published paper (Refereed)
Abstract [en]

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. © 2023 ACM

Place, publisher, year, edition, pages
New York, NY: Association for Computing Machinery (ACM), 2023. p. 240-249
Keywords [en]
CCS CONCEPTS, K-12 education, Data analytics, Learning management systems, Learning Analytics, Student Engagement, Scoping Review, K-12
National Category
Educational Sciences
Research subject
Smart Cities and Communities, LEADS
Identifiers
URN: urn:nbn:se:hh:diva-48963DOI: 10.1145/3576050.3576085Scopus ID: 2-s2.0-85149307813ISBN: 978-1-4503-9865-7 (print)OAI: oai:DiVA.org:hh-48963DiVA, id: diva2:1744249
Conference
The 13th International Conference of Learning Analytics and Knowledge Conference, LAK23, Hybrid, Arlington, Texas, USA, March 13-17, 2023
Available from: 2023-03-17 Created: 2023-03-17 Last updated: 2024-08-26Bibliographically approved

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Bergdahl, Nina

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf