Piotrkowicz, A orcid.org/0000-0002-7723-699X, Dimitrova, V orcid.org/0000-0002-7001-0891 and Roberts, TE orcid.org/0000-0001-9769-6187 (2018) Temporal Analytics of Workplace-based Assessment Data to Support Self-Regulated Learning. In: Lecture Notes in Computer Science. EC-TEL 2018: 13th European Conference on Technology Enhanced Learning, 03-06 Sep 2018, Leeds, UK. Springer, Cham ISBN 978-3-319-98572-5
Abstract
One of the most effective ways to develop self-regulated learning skills in higher education is to include work placements. Workplace-based assessment (WBA) provides opportunities for students to gain feedback on their practical skills, reflect on their performance, and set goals and actions for further development. This requires identifying temporal patterns, as placements usually span extended periods of time. In this paper we explore two intelligent computational methods (burst detection and process mining) to derive temporal patterns. We apply both methods on WBA data from a cohort of first-year medical students. Through this we identify interesting temporal patterns, and gather educators' feedback on their usefulness for self-regulated learning.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2018. This is a post-peer-review, pre-copyedit version of an article published in European Conference on Technology Enhanced Learning EC-TEL 2018: Lifelong Technology-Enhanced Learning. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-98572-5_47. |
Keywords: | temporal analytics; workplace-based assessment; self-regulated learning; burst detection; process mining |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Education > Medical Education Unit (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jun 2018 12:37 |
Last Modified: | 14 Aug 2019 00:42 |
Status: | Published |
Publisher: | Springer, Cham |
Identification Number: | 10.1007/978-3-319-98572-5_47 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132618 |