Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Improving the Learning of Mechanics Through Augmented Reality
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Beräkningsvetenskap och beräkningsteknik (CST).
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Beräkningsvetenskap och beräkningsteknik (CST).ORCID-id: 0000-0003-4616-189X
KTH, Skolan för teknikvetenskap (SCI), Centra, Linné Flow Center, FLOW. KTH, Centra, SeRC - Swedish e-Science Research Centre. KTH, Skolan för teknikvetenskap (SCI), Teknisk mekanik, Strömningsmekanik och Teknisk Akustik.ORCID-id: 0000-0001-6570-5499
2023 (engelsk)Inngår i: Technology, Knowledge and Learning, ISSN 2211-1662, E-ISSN 2211-1670, Vol. 28, nr 1, s. 347-368Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Springer Nature , 2023. Vol. 28, nr 1, s. 347-368
Emneord [en]
Visualization, Augmented reality, Technology-enhanced learning, Engineering mechanics, Torque
HSV kategori
Identifikatorer
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
Merknad

QC 20250327

Tilgjengelig fra: 2022-01-12 Laget: 2022-01-12 Sist oppdatert: 2025-03-27bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Person

Hedenqvist, ClarissaRomero, MarioVinuesa, Ricardo

Søk i DiVA

Av forfatter/redaktør
Hedenqvist, ClarissaRomero, MarioVinuesa, Ricardo
Av organisasjonen
I samme tidsskrift
Technology, Knowledge and Learning

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 182 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf