Impact of learning analytics feedback on self-regulated learning: triangulating behavioural logs with students' recall

Lisa Angelique Lim, Dragan Gasevic, Wannisa Matcha, Nora'Ayu Ahmad Uzir, Shane Dawson

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Learning analytics (LA) has been presented as a viable solution for scaling timely and personalised feedback to support students' self-regulated learning (SRL). Research is emerging that shows some positive associations between personalised feedback with students' learning tactics and strategies as well as time management strategies, both important aspects of SRL. However, the definitive role of feedback on students' SRL adaptations is under-researched; this requires an examination of students' recalled experiences with their personalised feedback. Furthermore, an important consideration in feedback impact is the course context, comprised of the learning design and delivery modality. This mixed-methods study triangulates learner trace data from two different course contexts, with students' qualitative data collected from focus group discussions, to more fully understand the impact of their personalised feedback and to explicate the role of this feedback on students' SRL adaptations. The quantitative analysis showed the contextualised impact of the feedback on students' learning and time management strategies in the different courses, while the qualitative analysis highlighted specific ways in which students used their feedback to adjust these and other SRL processes.

Original languageEnglish
Title of host publicationLAK21 Conference Proceedings - The Impact we Make: The Contributions of Learning Analytics to Learning
Subtitle of host publicationThe Eleventh International Conference on Learning Analytics & Knowledge
EditorsMaren Scheffel, Nia Dowell, Srecko Joksimovic, George Siemens
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages364-374
Number of pages11
ISBN (Electronic)9781450389358
DOIs
Publication statusPublished - 2021
EventInternational Learning Analytics & Knowledge Conference 2021 - Online, Irvine, United States of America
Duration: 12 Apr 202116 Apr 2021
Conference number: 11th
https://www.solaresearch.org/events/lak/lak21/
https://dl.acm.org/doi/proceedings/10.1145/3448139 (Proceedings)

Conference

ConferenceInternational Learning Analytics & Knowledge Conference 2021
Abbreviated titleLAK 2021
CountryUnited States of America
CityIrvine
Period12/04/2116/04/21
Internet address

Keywords

  • Learning analytics
  • Learning strategies
  • Mixed methods
  • Personalised feedback
  • Self-regulated learning
  • Time management strategies

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