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Improving the Learning of Mechanics Through Augmented Reality
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-4616-189X
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW. KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0001-6570-5499
2023 (English)In: Technology, Knowledge and Learning, ISSN 2211-1662, E-ISSN 2211-1670, Vol. 28, no 1, p. 347-368Article in journal (Refereed) Published
Abstract [en]

This study investigates to which extent students’ understanding of the physical phenomenon of torque can be improved through the use of visualization technology, in particular of augmented reality (AR). The students in the first-year course Mechanics I at KTH participated in the study by taking two tests on torque. In between those tests, a subgroup of students participated in a user study where they used an AR application to solve problems regarding torque. The results of the pre-test and the post-test indicate that the subgroup who used the app improved their understanding of torque to a greater extent than the ones who did not use the app. However, a larger sample space would be required to obtain a complete statistical characterization of the reported (qualitative and quantitative) improvement.

Place, publisher, year, edition, pages
Springer Nature , 2023. Vol. 28, no 1, p. 347-368
Keywords [en]
Visualization, Augmented reality, Technology-enhanced learning, Engineering mechanics, Torque
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-307117DOI: 10.1007/s10758-021-09542-1ISI: 000672309600001Scopus ID: 2-s2.0-85110783889OAI: oai:DiVA.org:kth-307117DiVA, id: diva2:1626855
Note

QC 20250327

Available from: 2022-01-12 Created: 2022-01-12 Last updated: 2025-03-27Bibliographically approved

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Hedenqvist, ClarissaRomero, MarioVinuesa, Ricardo

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Computational Science and Technology (CST)Linné Flow Center, FLOWSeRC - Swedish e-Science Research CentreFluid Mechanics and Engineering Acoustics
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Technology, Knowledge and Learning
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