Piotrkowicz, A orcid.org/0000-0002-7723-699X, Dimitrova, V and Roberts, TE (2018) Discovering Patterns in Workplace-based Assessment to Support Mentoring for Self-Regulated Learning. In: Proceedings of the Third International Workshop on Intelligent Mentoring Systems. IMS2018: Third International Workshop on Intelligent Mentoring Systems, 27-30 Jun 2018, London, UK.
Abstract
Supporting self-regulated learning is an open challenge in higher education, particularly when assessment takes place in the workplace over an extended period of time. The myPAL project addresses this challenge in a medical education context by developing a digital companion for self-regulated learning. We present multi-faceted learner modelling methods to discover useful patterns that can inform mentoring interventions for self-regulated learning enabled by workplace based assessment. Two types of methods -- text mining and temporal analytics -- are applied on workplace-based assessment data from a cohort of first-year medical students. Educators' feedback provides insights on the usefulness of these methods to support students' self-regulated learning and to give tutors an overview of the placement process.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Education |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jun 2018 10:05 |
Last Modified: | 27 Jun 2018 10:05 |
Published Version: | https://imsworkshop.files.wordpress.com/2018/06/im... |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132607 |