Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior

Xuewang Geng; Masanori Yamada

doi:10.1109/TALE52509.2021.9678759

Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior

Xuewang Geng, Masanori Yamada

Division for Theoretical Natural Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This study investigated the types of intrinsic motivation of learners in augmented reality (AR) learning activities by cluster analysis. We explored the differences in technology acceptance, learning performance, and behavior among learners with different intrinsic motivation types using ANOVA and post hoc tests. The results revealed that there were three different types of intrinsically motivated learners: high intrinsically motivated learners, learners with high interest only, and learners with high choice only. The high intrinsically motivated learners were the highest in AR technology acceptance and learning performance. However, the results of the frequency of learning behaviors indicated no difference among the three different types of intrinsically motivated learners.

Original language	English
Title of host publication	TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	405-411
Number of pages	7
ISBN (Electronic)	9781665436878
DOIs	https://doi.org/10.1109/TALE52509.2021.9678759
Publication status	Published - 2021
Event	2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 - Wuhan, China Duration: Dec 5 2021 → Dec 8 2021

Publication series

Name	TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings

Conference

Conference	2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021
Country/Territory	China
City	Wuhan
Period	12/5/21 → 12/8/21

All Science Journal Classification (ASJC) codes

Computer Science Applications
Engineering (miscellaneous)
Media Technology
Education

Access to Document

10.1109/TALE52509.2021.9678759

Cite this

Geng, X., & Yamada, M. (2021). Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior. In TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings (pp. 405-411). (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TALE52509.2021.9678759

Exploring Intrinsic Motivation Types in Augmented Reality Systems : Differences in Technology Acceptance, Learning Performance, and Behavior. / Geng, Xuewang; Yamada, Masanori.

TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 405-411 (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Geng, X & Yamada, M 2021, Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior. in TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 405-411, 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021, Wuhan, China, 12/5/21. https://doi.org/10.1109/TALE52509.2021.9678759

Geng X, Yamada M. Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior. In TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 405-411. (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings). doi: 10.1109/TALE52509.2021.9678759

Geng, Xuewang ; Yamada, Masanori. / Exploring Intrinsic Motivation Types in Augmented Reality Systems : Differences in Technology Acceptance, Learning Performance, and Behavior. TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 405-411 (TALE 2021 - IEEE International Conference on Engineering, Technology and Education, Proceedings).

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title = "Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior",

abstract = "This study investigated the types of intrinsic motivation of learners in augmented reality (AR) learning activities by cluster analysis. We explored the differences in technology acceptance, learning performance, and behavior among learners with different intrinsic motivation types using ANOVA and post hoc tests. The results revealed that there were three different types of intrinsically motivated learners: high intrinsically motivated learners, learners with high interest only, and learners with high choice only. The high intrinsically motivated learners were the highest in AR technology acceptance and learning performance. However, the results of the frequency of learning behaviors indicated no difference among the three different types of intrinsically motivated learners. ",

author = "Xuewang Geng and Masanori Yamada",

note = "Funding Information: This research was supported by JSPS Kakenhi JPI9H01716, and JP20H01727, and JP21K18134, Japan. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Engineering, Technology and Education, TALE 2021 ; Conference date: 05-12-2021 Through 08-12-2021",

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AB - This study investigated the types of intrinsic motivation of learners in augmented reality (AR) learning activities by cluster analysis. We explored the differences in technology acceptance, learning performance, and behavior among learners with different intrinsic motivation types using ANOVA and post hoc tests. The results revealed that there were three different types of intrinsically motivated learners: high intrinsically motivated learners, learners with high interest only, and learners with high choice only. The high intrinsically motivated learners were the highest in AR technology acceptance and learning performance. However, the results of the frequency of learning behaviors indicated no difference among the three different types of intrinsically motivated learners.

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Exploring Intrinsic Motivation Types in Augmented Reality Systems: Differences in Technology Acceptance, Learning Performance, and Behavior

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