Visual learning analytics-supported teacher reflection on synchronous online mathematics instruction: Insights from a stimulated-recall interview

Simin XU, Chung Kwan LO, Yanjie SONG, Gaowei CHEN

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

After the COVID-19 pandemic, many schools have prioritised helping students recover from learning loss. To provide additional opportunities for students to catch up, some teachers have continued using fully online classes for supplementary teaching and learning activities. This case study examined the use of Visual Learning Analytics (VLA) to support teacher reflection in synchronous online mathematics instruction during a 2-month remedial programme. In this paper, we focused on a lesson in which the teacher was particularly dissatisfied due to students’ underperformance in post-class assignments. Drawing on data from a lesson recording with VLA, a teacher reflective journal, and stimulated-recall interviews, we gained insights into the teacher’s reflective process. Our findings suggested that our VLA platform not only provided the teacher with a holistic view of classroom interactions but also served as a catalyst for recalling and analysing specific teaching moments. This study provided evidence that VLA was a valuable resource for reflection, helping the teacher identify areas for improvement. By documenting the teacher’s experiences and the role of VLA in reflective practice, we showcased how the use of VLA could enhance teaching practices. The findings further offered practical implications for refining synchronous online instruction, particularly in remedial mathematics teaching, such as the need for more elaboration on examples and deeper probing of students’ reasoning. Copyright © 2025 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Original languageEnglish
Title of host publicationInnovating education with AI: Selected proceedings of 2024 4th Asia Education Technology Symposium
EditorsEric C. K. CHENG
Place of PublicationSingapore
PublisherSpringer
Pages129-138
ISBN (Electronic)9789819649525
ISBN (Print)9789819649518
DOIs
Publication statusPublished - 2025

Citation

Xu, S., Lo, C. K., Song, Y., & Chen, G. (2025). Visual learning analytics-supported teacher reflection on synchronous online mathematics instruction: Insights from a stimulated-recall interview. In E. C. K. Cheng (Ed.), Innovating education with AI: Selected proceedings of 2024 4th Asia Education Technology Symposium (pp. 129-138). Springer. https://doi.org/10.1007/978-981-96-4952-5_9

Keywords

  • Visual learning analytics
  • Mathematics teaching
  • Synchronous online instruction

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