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Narrowing the Feedback Gap: Examining Student Engagement with Personalized and Actionable Feedback Messages

, , , , , and . Journal of Learning Analytics, (November 2021)
DOI: 10.18608/jla.2021.7184

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Panel Session - Scaling Up Learning Analytics Research Innovations: Challenges and Approaches., , , and . TALE, page 1237-1238. IEEE, (2018)Rethinking learning analytics adoption through complexity leadership theory., , , , , and . LAK, page 236-244. ACM, (2018)Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms., , , , and . LAK, page 333-343. ACM, (2021)Introduction to Cross LAK 2016: Learning Analytics Across Spaces., , and . CrossLAK, volume 1601 of CEUR Workshop Proceedings, page 1-4. CEUR-WS.org, (2016)Empowering Instructors Through Customizable Collection and Analyses of Actionable Information., , , , and . PCLA@LAK, volume 1590 of CEUR Workshop Proceedings, page 3-9. CEUR-WS.org, (2016)Temporally-focused analytics of self-regulated learning: A systematic review of literature, , , and . Computers and Education: Artificial Intelligence, (2022)The LATUX workflow: designing and deploying awareness tools in technology-enabled learning settings., , , , , and . LAK, page 1-10. ACM, (2015)Data-Driven Personalization of Student Learning Support in Higher Education, , , and . page 143--169. Springer International Publishing, Cham, (2017)Tracer: A Tool to Measure and Visualize Student Engagement in Writing Activities., , and . ICALT, page 421-425. IEEE Computer Society, (2013)CMOS dynamic power estimation based on collapsible current source transistor modeling., , , , , and . ISLPD, page 111-116. ACM, (1995)