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Enhancing learner feedback literacy using AI-powered feedback analytics

  • Martinez-Maldonado, Roberto (Primary Chief Investigator (PCI))
  • Tsai, Yi-Shan (Chief Investigator (CI))
  • Nawaz, Sadia (Chief Investigator (CI))
  • Phillips, Michael (Chief Investigator (CI))
  • Gasevic, Danijela (Chief Investigator (CI))
  • Dawson, Phillip (Chief Investigator (CI))
  • Corrin, Linda (Chief Investigator (CI))
  • Fan, Yizhou (Partner Investigator (PI))
  • de Mello, Rafael (Partner Investigator (PI))
  • Yang, Lan (Partner Investigator (PI))

Project: Research

Project Details

Project Description

The project aims to advance the understanding of learner feedback literacy in higher education contexts by proposing an analytics-based mechanism to innovatively capture and analyse trace-data-based behaviour when learners interact with feedback. This innovative approach will enable personalised support using AI techniques to help learners reflect on feedback critically and take meaningful actions. The project addresses a critical challenge in supporting learners to develop the capabilities needed to benefit from feedback, due to an inadequate understanding of how they use feedback. This will, in turn, enhance feedback effectiveness and contribute to improved learning experiences, better graduate outcomes, and lifelong learning success.
StatusActive
Effective start/end date8/04/26 → 7/04/29

Funding

  • ARC - Australian Research Council: A$675,333.00