Understanding Augmented Reality Technology Continuance Intention through MARLCardio: A Perspective of Malaysian Higher Institutions Students

Nur Nabihah Mohamad Nizar, Mohd Khairezan Rahmat, Siti Zuraida Maaruf and Siti Maftuhah Damio
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Nur Nabihah Mohamad Nizar: Faculty of Education, MARA Institute of Technology, Selangor, Malaysia
Mohd Khairezan Rahmat: Faculty of Education, MARA Institute of Technology, Selangor, Malaysia
Siti Zuraida Maaruf: Faculty of Education, MARA Institute of Technology, Selangor, Malaysia
Siti Maftuhah Damio: Faculty of Education, MARA Institute of Technology, Selangor, Malaysia

International Journal of Technology and Engineering Studies, 2019, vol. 5, issue 1, 9-15

Abstract: The rapid changes in technologies nowadays recognized the use of Augmented Reality (AR) technology in learning process. AR offers an interactive experience of real environment with computer-generated contextual layer of information to boost learning experiences. Initially, AR has been explored widely in entertainment and gaming industry. In contrast, the potential of AR for educational and learning purposes has not been explored intensively. In addition to the lack of sources in assessing AR technology in education, there is also inadequate information about the influencing factors in determining students’ continuance intention to use AR technology in their learning process. Thus, the present paper purposes to evaluate factors that might influence Malaysian higher education students’ decision in continue using AR technology through Mobile Augmented Reality Learning Cardiovascular (MARLCardio). A self-designed MARLCardio was used as an experimental tool in process of data collection. Participated students were given a chance to explore AR features in MARLCardio before they respond to a survey questionnaire. A total of 459 Malaysian higher institution students from various fields of study were participated. Data gathered from the questionnaire was analyzed through Structural Equation Modeling (SEM) using the SmartPLS software. As an outcome of this study, results discovered that attitude is the main factor in determining students’ continuance intention in use MARLCardio.

Keywords: Augmented reality; technology adoption model; structural modeling (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:apa:ijtess:2019:p:9-15

DOI: 10.20469/ijtes.5.10002-1

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