Enhancing Feedback Uptake and Self-Regulated Learning in Procedural Skills Training: Design and Evaluation of a Learning Analytics Dashboard

Ignacio Villagran, Rocio Hernandez, Gregory Schuit, Andres Neyem, Javiera Fuentes, Loreto Larrondo, Elisa Margozzini, Maria T. Hurtado, Zoe Iriarte, Constanza Miranda, Julian Varas, Isabel Hilliger*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Remote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential of LADs, understanding their design to enhance SRL and provide useful feedback remains a significant challenge. Focusing on LAD design, implementation, and evaluation, the study followed a mixed-methods twophase design-based research approach. The study used a triangulation methodology of qualitative interviews and SRL and sensemaking questionnaires to comprehensively understand the LAD's effectiveness and student SRL and feedback uptake strategies during remote procedural skills training. Initial findings revealed the value students placed on performance visualization and peer comparison despite some challenges in LAD design and usability. The study also identified the prominent adoption of SRL strategies such as help-seeking, elaboration, and strategic planning. Sensemaking results showed the value of personalized performance metrics and planning resources in the LAD and recommendations to improve reflection and feedback uptake. Subsequent findings suggested that SRL levels significantly predicted the levels of sensemaking. The students valued the LAD as a tool for supporting feedback uptake and strategic planning, demonstrating the potential for enhancing procedural skills learning.
Original languageEnglish
Pages (from-to)138-156
Number of pages19
JournalJournal of Learning Analytics
Volume11
Issue number2
DOIs
Publication statusPublished - 18 Aug 2024

Keywords

  • Learning analytics dashboard
  • feedback
  • procedural skills
  • self-regulated learning
  • health professions education
  • MODEL

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