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Augmented Reality-Enhanced Learning: An evaluation of the possibilities of improving learning of Mechanics through an Augmented Reality application
KTH, School of Electrical Engineering and Computer Science (EECS).
2020 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Students’ struggle to understand certain threshold concepts in mechanics is believed to be reducible by better visualization in the often very abstract field of physics. Technology is used to enhance and facilitate our lives in many ways, not to mention in education. This study investigates whether students’ understanding of the physical phenomenon torque could be improved through the use of visualization technology, AR specifically.

The students in the 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- and post-test indicated 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, none of the results were statistically significant. Future research is encouraged to aim at gaining a larger sample size and introduce grades instead of just pass/fail on the pre and post-test in order to see more variance in the test results.

Abstract [sv]

Studenters svårigheter att förstå vissa tröskelbegrepp inom mekanik tros kunna minska genom tydligare visualisering inom den annars väldigt abstrakta disciplinen fysik. Teknik används idag för att både förhöja och underlätta våra liv på många olika sätt, inte minst när det kommer till utbildning. Denna studie undersöker huruvida studenters förståelse för det fysiska fenomenet kraftmoment skulle kunna förbättras genom användandet av visualiseringsteknologi, specifikt AR.

Studenterna i kursen Mekanik I på KTH deltog i studien genom att skriva två prov om kraftmoment. Mellan dessa prov var en delgrupp av studenterna med i en användarstudie där de fick använda en AR-applikation för att lösa problem rörande kraftmoment. Resultatet av för- och efterprovet visade att delgruppen som använde appen förbättrade sin förståelse för kraftmoment i större utsträckning än gruppen som inte använde appen. Dock var inga resultat statistiskt signifikanta. Framtida forskning uppmuntras att ha större testgrupp och att introducera betyg på för- och efterprovet (istället för godkänd/icke godkänd) för att lättare hitta varians i resultaten.

Place, publisher, year, edition, pages
2020. , p. 58
Series
TRITA-EECS-EX ; 2020:51
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-272120OAI: oai:DiVA.org:kth-272120DiVA, id: diva2:1424456
Educational program
Master of Science - Computer Science
Supervisors
Examiners
Available from: 2020-04-17 Created: 2020-04-17 Last updated: 2022-06-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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