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Co-construction of Knowledge in Work-Integrated E-learning Courses in Joint Industry-University Collaboration
University West, Department of Engineering Science, Division of Production Systems. (LINA PTW)ORCID iD: 0000-0003-0086-9067
University West, Department of Engineering Science, Division of Production Systems. (LINA PTW)ORCID iD: 0000-0002-8992-1919
2018 (English)In: International Journal of Advanced Corporate Learning, ISSN 1867-5565, E-ISSN 1867-5565, Vol. 11, no 1, p. 10-16Article in journal (Refereed) Published
Abstract [en]

Blended e-learning in higher education targeting company knowledge needs, can support continuous competence development for practitioners in the manufacturing industry. However, university education is traditionally not designed for workplace knowledge needs that strengthen practitioners' learning in everyday work, i.e. work-integrated learning.

Designing for such learning efforts is even more challenging when the pedagogical strategy is to stimulate practitioners own work experiences as a valuable knowledge source in construction with other peers or teachers. The aim is to explore how engineering practitioners and research teachers mutually co-construct knowledge. In particular, three types of case-based methodologies are examined within a range of industry targeted e-learning courses. The study is part of alongitudinal joint industry-university project. Eleven courses were analyzed through focus group sessions with 110 practitioners from 15 different companies. Results show that 1) Virtual digital cases stimulate high technology learning, but show low collaboration with peers, 2) On-line collaborative negotiation cases stimulate both web conferencing and high interactivity, and 3) Real workplace cases do not stimulate e-learning, but motivate strong work-integrated learning and knowledge expansion.

Place, publisher, year, edition, pages
International Association of Online Engineering, 2018. Vol. 11, no 1, p. 10-16
Keywords [en]
Co-construction of knowledge, work-integrated e-learning, case-based methodology, manufacturing industry.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Technology; Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-15025DOI: 10.3991/ijac.v11i1.9152OAI: oai:DiVA.org:hv-15025DiVA, id: diva2:1410970
Available from: 2020-03-02 Created: 2020-03-02 Last updated: 2020-03-02Bibliographically approved

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Hattinger, MonikaEriksson, Kristina M.

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