Students’ perceptions of, and emotional responses to, personalised learning analytics-based feedback: an exploratory study of four courses

Lisa-Angelique Lim, Shane Dawson, Dragan Gašević, Srecko Joksimović, Abelardo Pardo, Anthea Fudge, Sheridan Gentili

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

Abstract

Research and development in learning analytics has established viable solutions for scaling personalised feedback to all students. However, questions remain regarding how such feedback is perceived, interpreted and acted upon by stakeholders. The present study reports on the analysis of focus group data from four courses to understand students’ sensemaking of personalised, learning analytics-based feedback. Deductive analysis and epistemic network analysis were carried out to identify students’ perceptions and associated emotional responses to the feedback. The results demonstrate that students mostly held positive perceptions of their feedback–especially in regard to quality, task-focus and instructor care. While emotions to feedback were often negative, students also noted this increased their motivation to invest more effort in the learning tasks. The results of the study provide further evidence of the interpersonal communication variables influencing students’ proactive recipience of feedback. Importantly, the findings show that students were mostly actively engaged with their personalised feedback, and that the instructor-mediated approach to feedback based on learning analytics is aligned to the principles of effective feedback.

Original languageEnglish
Pages (from-to)339-359
Number of pages21
JournalAssessment & Evaluation in Higher Education
Volume46
Issue number3
DOIs
Publication statusPublished - 2021

Keywords

  • emotions
  • epistemic network analysis
  • learning analytics
  • Personalised feedback

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