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Measuring Experiential Learning: An Approach Based on Lessons Learned Mapping
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0002-5076-3300
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. (Product Development Research Lab)ORCID iD: 0000-0001-5114-4811
2020 (English)In: Education Sciences, E-ISSN 2227-7102, Vol. 10, no 1, article id 11Article in journal (Refereed) Published
Abstract [en]

Fostering ‘experiential learning’ in real-life situations is a critical task for engineering educators when creating constructively aligned learning activities. The paper proposes an approach to measure the students’ perception of learning in Conceive-Design-Implement-Operate activities conducted outside the classroom. The approach is based on the opportunity of gathering and analyzing lessons learned from the student reflection reports at the end of a team-based innovation project performed in collaboration with company partners. The approach is intended to provide a basis for the future development of innovation projects with engineering students, supporting the definition of learning outcomes that are relevant for the CDIO Syllabus 2.0, and of constructively aligned learning experiences. The paper exemplifies the approach with regards to a master course named Value Innovation and presents the findings obtained at the third and second level of the CDIO Syllabus 2.0. The results of the course implementation show how short team-based innovation projects largely contributed in developing social and communication-related skills in engineering students, going beyond the mere application of their technical skills.

Place, publisher, year, edition, pages
MDPI, 2020. Vol. 10, no 1, article id 11
Keywords [en]
experiential learning; CDIO; lessons learned; engineering; innovation project; industrial collaboration; measurement framework
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-19071DOI: 10.3390/educsci10010011ISI: 000513524100005OAI: oai:DiVA.org:bth-19071DiVA, id: diva2:1381985
Projects
AVANS
Part of project
Model Driven Development and Decision Support – MD3S, Knowledge Foundation
Funder
Knowledge Foundation
Note

open access

Available from: 2019-12-30 Created: 2019-12-30 Last updated: 2021-01-14Bibliographically approved

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fulltext(1716 kB)216 downloads
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Publisher's full texthttps://www.mdpi.com/2227-7102/10/1/11

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Bertoni, MarcoBertoni, Alessandro

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