Cluster analysis of Hong Kong students' self-regulated learning in contextualized multimodal language learning

Lucas Mathias Alfred KOHNKE, Dennis FOUNG, Julia CHEN

Research output: Contribution to journalArticlespeer-review

Abstract

This study investigated how English learners complete multimodal formative quizzes. Participants included 17,950 students enrolled in a mandatory English for Academic Purposes course at a university in Hong Kong. We retrieved data from Blackboard, a learning management system, and conducted a two-step cluster analysis to examine student self-regulated learning (SRL) profiles with the quizzes. We first identified five clusters of learners with distinctively different self-regulated learning patterns. Then, we performed a multivariate analysis of variance (MANOVA) to further explore their differences in SRL, in terms of start day, days started before deadline, differences in scores between first and last attempt, and scores in language learning activities. Our findings echoed those of previous studies on the relationship between self-regulated learning and academic success. This research enables us to better understand the needs of EAP students in Hong Kong. Copyright © 2023 International Forum of Educational Technology & Society.

Original languageEnglish
Pages (from-to)53-68
JournalEducational Technology & Society
Volume26
Issue number3
Publication statusPublished - Jul 2023

Citation

Kohnke, L., Foung, D., & Chen, J. (2023). Cluster analysis of Hong Kong students' self-regulated learning in contextualized multimodal language learning. Educational Technology & Society, 26(3), 53-68. https://www.j-ets.net/collection/published-issues/26_3

Keywords

  • Cluster analysis
  • English for Academic Purposes
  • Multimodal
  • Formative
  • Quizzes

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