Determinants of Behavioural Intention to Use Mobile Augmented Reality Application in Education Among University Students in Malaysia

Citation

Tan, Gek Siang and Ab. Aziz, Kamarulzaman and Ahmad, Zauwiyah (2024) Determinants of Behavioural Intention to Use Mobile Augmented Reality Application in Education Among University Students in Malaysia. Lecture Notes in Educational Technology. pp. 448-454. ISSN 2196-4963

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Abstract

Being identified by Gartner, Inc. as one of the five distinct emerging technology trends in 2018, augmented reality (AR) has seen vast applications across various industries, including education because AR is capable to improve the effectiveness of teaching-learning process credit to the high interactivity and engagement between learners and the technology. Thus far, not many studies have been carried out to comprehend the driving forces in adopting AR as an educational tool although its usage rate among instructors and learners remains low. Given the need for more research to broaden our understanding of AR acceptance in education, UTAUT2 was applied as a theoretical foundation in this study to investigate the adoption of AR mobile app in the context of Malaysian higher education institutions. Using a quantitative approach, an online survey questionnaire was sent to 182 students in a government-linked university and only 163 complete responses were included for final analysis. The respondents were required to download and experience the AR mobile app before answering the questionnaire. The research model showed a strong explanatory power of 61.5% and the regression analysis revealed that performance expectancy, effort expectancy, social influence, facilitating conditions and hedonic motivations had a significant positive correlation with adoption of AR mobile app. The findings filled the research gap by providing insights to the key stakeholders of AR in the education field to enhance learning experience and outcomes.

Item Type: Article
Uncontrolled Keywords: Augmented reality
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Business (FOB)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 28 Feb 2025 01:46
Last Modified: 28 Feb 2025 01:46
URII: http://shdl.mmu.edu.my/id/eprint/13536

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