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Meaningful Automated Feedback? Balancing Tensions in Participatory Learning Analytics Design
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. Department of Applied Information Technology, University of Gothenburg. (RTSLAB)ORCID iD: 0000-0001-7135-4613
Department of Applied Information Technology, University of Gothenburg.
Department of Applied Information Technology, University of Gothenburg.
Department of Applied Information Technology, University of Gothenburg.
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2025 (English)In: Proceedings of the International Conference on Computer-supported Collaborative Learning, ISSN 2543-0157, p. 142-150Article in journal (Refereed) Published
Abstract [en]

Simulators have become central in professional training, in this case maritime education, where they support the development and assessment of skills and competencies required of competent seafarers. This study aims to inform the design of a learning analytics dashboard utilizing multimodal learning analytics to deliver automated, adaptive feedback to maritime students. Feedback is critical in simulator-based training, yet the characteristics of meaningful automated feedback in professional training remain underexplored. Drawing on a participatory design workshop with maritime students, the study examines tensions arising from the conceptualization of automated feedback. Using cultural historical activity theory, we frame tensions as opportunities for innovation, highlighting the dynamic interplay between students, instructors, and technology. In doing so, we offer insights into designing meaningful automated feedback for simulation training, and the need to balance students' dual roles as learners and future professionals, reconciling collaborative learning with personalized feedback, and prioritizing educational goals over technological innovation.

Place, publisher, year, edition, pages
2025. p. 142-150
Keywords [en]
Feedback, human-centred learning analytics, multimodal learning analytics, simulator-based training
National Category
Educational Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-219677DOI: 10.22318/cscl2025.963119OAI: oai:DiVA.org:liu-219677DiVA, id: diva2:2016828
Conference
International Conference on Computer-supported for Collaborative Learning
Available from: 2025-11-26 Created: 2025-11-26 Last updated: 2025-12-01

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf