Extending the technology acceptance model (TAM) to predict university students’ intentions to use metaverse-based learning platforms
Open accessAbstract
Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. Additionally, what factors impact higher education students' adoption of the educational metaverse remains unclear. Consequently, the aim of this study is to explore the main factors that affect higher education students' behavioral intentions to adopt metaverse technology for education. This study has proposed an extended Technology Acceptance Model (TAM) to achieve this aim. The novelty of this study resides in its conceptual model, which incorporates both technological, personal, and inhibiting/enabling factors. The empirical data were collected via online questionnaires from 574 students in both private and public universities in Jordan. Based on the PLS-SEM analysis, the study identifies perceived usefulness, personal innovativeness in IT, and perceived enjoyment as key enablers of students' behavioral intentions to adopt the metaverse. Additionally, perceived cyber risk is found as the main inhibitor of students' metaverse adoption intentions. Surprisingly, the effect of perceived ease of use on metaverse adoption intentions is found to be insignificant. Furthermore, it is found that self-efficacy, personal innovativeness, and perceived cyber risk are the main determinants of perceived usefulness and perceived ease of use. While the findings of this study contribute to the extension of the TAM model, the practical value of these findings is significant since they will help educational authorities understand each factor's role and enable them to plan their future strategies.
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The findings align with evidence from mobile learning research that positive attitudes can strengthen students' intention to use new technologies.
“They also aligned with evidence from mobile learning research showing that positive attitudes can strengthen students’ intention to use new technologies [91].”
From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as [91]
The Theoretical foundation section says that attitudes toward technology use help determine behavioral intention, supporting the general attitude–intention link. But this paper studies metaverse-based learning platforms, not mobile learning; its mention of mobile learning in the Personal innovativeness in IT section concerns innovativeness and perceived ease of use, not attitudes and intention. (LLM, conf=0.84)
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314 · see citing works
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · cited 1× · see citing works
“As demonstrated in Table 4, this condition is met, concluding that discriminant validity is present (Fornell & Larcker, 1981 ).”
BackgroundThe theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · cited 1× · see citing works
“According to Ajzen (1991), SE designates the confidence that one possesses in one’s capability to engage in a specific behavior.”
MethodPodsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · cited 1× · see citing works
“The finding showed that the loading of all measurement items in the dataset at once yielded a total variation of 44.678%, which is below the 50% threshold, indicating that CMB is absent (Podsakoff et al., 2003 ).”
BackgroundInfluentialStructural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · cited 1× · see citing works
“As instructed, we conducted the data analysis in two steps (Anderson & Gerbing, 1988 ).”
MethodA new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459 · cited 1× · see citing works
“Moreover, the result of the “Heterotrait–Mono - trait Ratio-HTMT” test indicates that all HTMT values < 0.85 (Henseler et al., 2015), endorsing the findings in terms of Fornell and Larcker’s criterion.”
ResultInfluentialWhen to Use and How to Report the Results of PLS-SEM
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541 · cited 5× · see citing works
“The outcomes showed that each construct in the research model acquired an accept - able Cronbech’s Alpha ( > 0.7) (Hair et al., 2019).”
BackgroundMethodResultInfluentialUser Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · cited 3× · see citing works
“PU describes the extent to which individuals perceive that the usage of a specific technology enhances their performance (Davis et al., 1989).”
BackgroundInfluentialValente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,555 · see citing works
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756 · cited 1× · see citing works
“Intrinsic motivation underpins the enjoyment concept (Abdullah & Ward, 2016), and is considered a hedonic motivation conceptualization (Venkatesh et al., 2012 ).”
BackgroundBack-translation for cross-cultural research.
Brislin, R. W. (1970) · Journal of Cross-Cultural Psychology · doi:10.1177/135910457000100301 · Cited by 14,091 · cited 2× · see citing works
“We followed the back-translating procedure to ensure that the meanings of the questionnaire items remained consistent after being translated from English to Arabic (Brislin, 1970).”
MethodPalinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-013-0528-y · Cited by 12,038 · cited 1× · see citing works
“Purposive sampling entails recruiting participants if they meet particu - lar screening conditions and based on their expertise or familiarity with the issue under investigation (Palinkas et al., 2015 ).”
Background\nThe use of partial least squares path modeling in international marketing
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009) · Radboud Repository (Radboud University) · doi:10.1108/s1474-7979(2009)0000020014 · Cited by 11,790 · see citing works
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom Companion: Business · doi:10.1007/978-3-030-80519-7 · Cited by 10,343 · see citing works
Social Foundations of Thought and Action
Bandura, A. (2002) · SAGE Publications Ltd eBooks · doi:10.4135/9781446221129.n6 · Cited by 9,948 · cited 3× · see citing works
“According to Bandura ( 1986), SE represents individuals’ judgments in terms of “their capabilities to organize and execute a course of action required to attain designated types of performances” (p. 391).”
BackgroundMethodInfluentialVenkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · cited 1× · see citing works
“PE represents the degree to which an individual has fun and pleasure as a result of uti - lizing a particular technology (Shen et al., 2022; Venkatesh, 2000 , p.351) states that PE is the degree to which “the activity of using a specific system is perceived to be enjoyable in its own right, aside…”
BackgroundExtrinsic and Intrinsic Motivation to Use Computers in the Workplace <sup>1</sup>
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · cited 1× · see citing works
“PE reflects the level of joy and fun that can be obtained as a result of using a specific system or technology (Davis et al., 1992).”
BackgroundA Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb00860.x · Cited by 3,854 · cited 1× · see citing works
“Individuals with more confidence in their abilities to learn how to utilize information technology are inclined to view the technology as easy to use and beneficial, than those with less confidence (Venkatesh & Davis, 1996).”
BackgroundUser Acceptance of Hedonic Information Systems1
van der Heijden, H. (2004) · MIS Quarterly · doi:10.2307/25148660 · Cited by 3,850 · cited 1× · see citing works
“It is claimed that PE significantly influences users’ intentions to adopt hedonic systems or technologies such as metaverse, as being ones which give users joy or pleasure (Humida et al., 2022; Van der Heijden, 2004 ).”
BackgroundAgarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575 · cited 3× · see citing works
“The link between technology and the level of innovation receptivity affects how ready an individual is to adopt a technology (Agarwal & Prasad, 1998 ).”
BackgroundInfluentialDwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753 · cited 7× · see citing works
“Consequently, they are unable to replicate the experience of tradetional learning (Dwivedi et al., 2022).”
BackgroundInfluentialAkçayır, M., & Akçayır, G. (2017) · Educational Research Review · doi:10.1016/j.edurev.2016.11.002 · Cited by 2,463 · cited 1× · see citing works
“In developing countries, there is a lack of widespread adoption of immersive technologies in organizations and among individuals due to a scarcity of adequate empirical studies on its use (Khan et al., 2019; Akçayır and Akçayır, 2017).”
BackgroundA Survey on Metaverse: Fundamentals, Security, and Privacy
Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H., & Shen, X. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3202047 · Cited by 1,655 · cited 6× · see citing works
“Such findings are similar to those of previous related studies in the area of educational technology (Wang et al., 2022a ; Cabero-Almenara et al., 2019 ; Huang, 2019 ; Punnoose, 2012 ).”
BackgroundResultInfluentialDeveloping questionnaires for educational research: AMEE Guide No. 87
Artino, A. R., LaRochelle, J. S., DeZee, K. J., & Gehlbach, H. (2014) · Medical Teacher · doi:10.3109/0142159x.2014.889814 · Cited by 1,542 · cited 2× · see citing works
“Furthermore, a panel of experts consisting of five academics with a significant experience in educational technology and information systems was recruited to assess the content validity of the questionnaire (Artino et al., 2014).”
BackgroundLee, L., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C., & Hui, P. (2024) · Foundations and Trends® in Human–Computer Interaction · doi:10.1561/1100000095 · Cited by 1,525 · see citing works
Sample Size for Survey Research: Review and Recommendations
Memon, M. A., Ting, H., Cheah, J., Ramayah, T., Chuah, F., & Cham, T. (2020) · Journal of Applied Structural Equation Modeling · doi:10.47263/jasem.4(2)01 · Cited by 1,437 · cited 1× · see citing works
“This is a power analysis that takes into account the model structure, the expected effect sizes, and the anticipated level of significance (Memon et al., 2020).”
BackgroundTechnology acceptance model in educational context: A systematic literature review
Granić, A., & Marangunić, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12864 · Cited by 1,204 · cited 1× · see citing works
“According to Granić and Marangunić (2019 ), it has been widely established that TAM is among the most well-known models for predicting technology adoption and usage behavior.”
BackgroundA review of technology acceptance and adoption models and theories
Taherdoost, H. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.03.137 · Cited by 1,162 · see citing works
Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006) · Information & Management · doi:10.1016/j.im.2005.08.006 · Cited by 1,139 · cited 4× · see citing works
“Several studies have confirmed the significant effect of PIIT on PU, PEU, and BI (Fagan et al., 2012; Yi et al., 2006 ).”
BackgroundInfluentialInvestigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective1
Kim, H.-W., & Kankanhalli, A. (2009) · MIS Quarterly · doi:10.2307/20650309 · Cited by 1,135 · cited 1× · see citing works
“However, it has been claimed that it is critical to investigate the factors that lead to resistance behaviors among technology users (Kim & Kankanhalli, 2009 ).”
BackgroundLee, L.-H., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C., & Hui, P. (2021) · arXiv · doi:10.48550/arxiv.2110.05352 · Cited by 1,088 · cited 1× · see citing works
“In virtual worlds such as the metaverse, protecting user privacy and ensuring data security is an extremely important matter (Lee et al., 2021).”
BackgroundAbdullah, F., & Ward, R. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.036 · Cited by 986 · cited 3× · see citing works
“The importance of SE as a key determinant of PU and PEU in the educational field is well-established in the literature of technology adoption (Chahal & Rani, 2022; Abdullah et al., 2016 ).”
BackgroundThe acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940 · cited 1× · see citing works
“…of PIIT on PEU (or effort expectancy as an equivalent construct to PEU) in many contexts, such as personal digital assistants (PAD) (Yi et al., 2006), mobile learning (Joo et al., 2014), virtual learning (Raaij & Schepers, 2008), and healthcare technologies (Fan et al., 2020; Wu et al., 2011).”
BackgroundHwang, G.-J., & Chien, S.-Y. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100082 · Cited by 759 · cited 1× · see citing works
“Metaverse is widely seen that the Internet’s next generation, as it is expected to radically change how people interact and communicate with the world (Hwang and Chien, 2022).”
BackgroundAI-enabled adaptive learning systems: A systematic mapping of the literature
Kabudi, T., Pappas, I., & Olsen, D. H. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100017 · Cited by 734 · cited 1× · see citing works
“These technologies has changed how students learn and instructors teach, creat - ing new economic options for education providers and paving the way for AI-based adaptive learning systems (Kabudi et al., 2021).”
BackgroundAbdullah, F., Ward, R., & Ahmed, E. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.014 · Cited by 693 · cited 1× · see citing works
“The importance of SE as a key determinant of PU and PEU in the educational field is well-established in the literature of technology adoption (Chahal & Rani, 2022; Abdullah et al., 2016 ).”
BackgroundZhang, X., Chen, Y., Hu, L., & Wang, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1016300 · Cited by 637 · cited 5× · see citing works
“According to Zhang et al. (2022), Immersive technolo - gies like VR, AR, ER, and MR have increased interest in the metaverse, blurring the line between the virtual and physical worlds.”
BackgroundInfluentialIs Metaverse in education a blessing or a curse: a combined content and bibliometric analysis
Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., Wang, H., Denden, M., Bozkurt, A., Lee, L., et al. (2022) · Smart Learning Environments · doi:10.1186/s40561-022-00205-x · Cited by 630 · cited 1× · see citing works
“Particularly, these technologies have contributed significantly in promoting metaverse in many educational applications (Tlili et al., 2022 ).”
BackgroundTechnology Acceptance Model in M-learning context: A systematic review
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018) · Comput. Educ. · doi:10.1016/j.compedu.2018.06.008 · Cited by 624 · cited 2× · see citing works
“In particular, the TAM has witnessed an increased level of use by scholars for the purpose of predicting learners’ acceptance of learning technologies (Shen et al., 2022; Al-Adwan, 2020; Al-Emran et al., 2018).”
BackgroundTam, C., dos Santos, D. S., & Oliveira, T. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9864-5 · Cited by 609 · cited 1× · see citing works
“Several previous researchers suggest that convenient and comfortable systems are more enjoyable (Wang et al., 2022a; Akdim et al., 2022; Tam et al., 2020).”
BackgroundThe Impact of an Augmented Reality Application on Learning Motivation of Students
Khan, T., Johnston, K., & Ophoff, J. (2019) · Advances in Human-Computer Interaction · doi:10.1155/2019/7208494 · Cited by 583 · cited 1× · see citing works
“In developing countries, there is a lack of widespread adoption of immersive technologies in organizations and among individuals due to a scarcity of adequate empirical studies on its use (Khan et al., 2019; Akçayır and Akçayır, 2017).”
BackgroundJoo, Y.-J., Bong, M., & Choi, H. (2000) · Educational Technology Research and Development · doi:10.1007/bf02313398 · Cited by 556 · cited 2× · see citing works
“…many researchers have investi - gated self-efficacy in different contexts, domains, and perspectives, such as computer self-efficacy (Nardi & Ranieri, 2019), internet self-efficacy (Joo et al., 2000), tech - nology self-efficacy (Durak, 2018 ), and online learning self-efficacy (Hong et al., 2019).”
BackgroundSocial Engineering Attacks: A Survey
Salahdine, F., & Kaabouch, N. (2019) · Future Internet · doi:10.3390/fi11040089 · Cited by 509 · cited 1× · see citing works
“Given that social engineering attacks currently make up the bulk of cyber-attacks experienced online (Salahdine & Kaabouch, 2019), it is anticipated that such attacks in the metaverse are expected to become considerably easier and more powerful, and hence more common (Di Pietro et al., 2021).”
BackgroundAkour, I. A., Al-Maroof, R. S., Alfaisal, R., & Salloum, S. A. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100052 · Cited by 499 · cited 6× · see citing works
“Previous related research has found that PIIT is a key determining factor with regard to BI, SE, PU and PEU (Akour et al., 2022; Chahal & Rani, 2022; Bubou & Job, 2022; Wang et al., 2021; Fatima et al., 2017).”
BackgroundResultInfluentialCharacteristics of Problem-Based Learning
Kolmos, A. (2003) · VBN Forskningsportal (Aalborg Universitet) · Cited by 488 · see citing works
Mailizar, M., Burg, D., & Maulina, S. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10557-5 · Cited by 420 · cited 1× · see citing works
“Previous studies on educational tech - nology adoption indicated that users’ PEU substantially impacted their perception of usefulness (Fussell and Trouong, 2002; Mailizar et al., 2021).”
BackgroundThe adoption of mobile healthcare by hospital's professionals: An integrative perspective
Wu, I., Li, J.-Y., & Fu, C.-Y. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.03.003 · Cited by 410 · cited 1× · see citing works
“, 2014), virtual learning (Raaij & Schepers, 2008), and healthcare technologies (Fan et al., 2020; Wu et al., 2011).”
BackgroundThe role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps
Akdim, K., Casaló, L. V., & Flavián, C. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102888 · Cited by 403 · cited 1× · see citing works
“Several previous researchers suggest that convenient and comfortable systems are more enjoyable (Wang et al., 2022a; Akdim et al., 2022; Tam et al., 2020).”
BackgroundMetaverse: Perspectives from graphics, interactions and visualization
Zhao, Y., Jiang, J., Chen, Y., Liu, R., Yang, Y., Xue, X., & Chen, S. (2022) · Visual Informatics · doi:10.1016/j.visinf.2022.03.002 · Cited by 398 · cited 4× · see citing works
“Constant security concerns in online learning settings make it vital to examine how students perceive online learning related risks (Jiang et al., 2022).”
BackgroundInfluentialInhibitors and Enablers as Dual Factor Concepts in Technology Usage
Cenfetelli, R. T. (2004) · Journal of the Association for Information Systems · doi:10.17705/1jais.00059 · Cited by 393 · cited 1× · see citing works
“Moreover, most of the TAM-related studies have ignored users’ negative (inhibiting) perceptions in favor of focusing only on their positive (enabling) ones (Dou et al., 2017; Cenfetelli, 2004).”
BackgroundLee, J., Kim, J., & Choi, J. Y. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2018.12.006 · Cited by 382 · cited 2× · see citing works
“As a result, TAM allows researchers to integrate extra potential factors that may drive the adoption of a specific technology through the external variable construct (Lee et al., 2019a , b).”
BackgroundWang, S., Wang, J., Li, J., Wang, J., & Liang, L. (2018) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2018.08.014 · Cited by 376 · cited 3× · see citing works
“The perception of risk is often seen as the major barrier to user adoption of innovative technologies (Wang et al., 2018).”
BackgroundThe social metaverse: Battle for privacy
Falchuk, B., Loeb, S., & Neff, R. (2018) · IEEE Technology and Society Magazine · doi:10.1109/mts.2018.2826060 · Cited by 354 · cited 2× · see citing works
“When it comes to user privacy in the metaverse, three major aspects stand out: personal information, behavior, and communications (Falchuk et al., 2018 ).”
BackgroundFan, W., Liu, J., Zhu, S., & Pardalos, P. M. (2020) · Annals of Operations Research · doi:10.1007/s10479-018-2818-y · Cited by 346 · cited 2× · see citing works
“Personal innovativeness (PI) is the desire to try out new innovations (Fan et al., 2020).”
BackgroundPredictors of customer acceptance of and resistance to smart technologies in the retail sector
Roy, S. K., Balaji, M. S., Quazi, A. M., & Quaddus, M. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.02.005 · Cited by 336 · cited 1× · see citing works
“Research - ers might possibly foster effective technology adoption and facilitate the adoption of novel technological innovation by examining the factors driving resistance (Roy et al., 2018).”
BackgroundSuh, W., & Ahn, S. (2022) · Journal of Intelligence · doi:10.3390/jintelligence10010017 · Cited by 317 · cited 1× · see citing works
“It is claimed that utilizing metaverse-based learning environments may facilitate learner-centered teaching by promoting both collaborative and independent learning (Suh & Ahn, 2022; Akour et al., 2022).”
BackgroundFaqih, K. M. S., & Jaradat, M.-I. R. M. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101787 · Cited by 297 · cited 14× · see citing works
“Thus, this study’s findings deliver useful insights that can be employed to support HEIs in Jordan in their efforts regarding a successful adoption of the metaverse.”
BackgroundResultInfluentialMetaverse: Security and Privacy Issues
Pietro, R. D., & Cresci, S. (2021) · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) · doi:10.1109/tpsisa52974.2021.00032 · Cited by 295 · cited 2× · see citing works
“Di Pietro et al. (2021) point out that the metaverse’s current data gathering methods and accompanying analyses are regarded as amateurish.”
BackgroundMarks, B., & Thomas, J. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10653-6 · Cited by 282 · cited 1× · see citing works
“…reality (VR), augmented reality (AR), extended reality (XR), and mixed reality (MR), do not, on their own, guarantee positive learning results (Marks & Thomas, 2022; Tegoan et al., 2021 ) due to issues related to the multisensory experiences of students in terms of teaching content quality…”
BackgroundShen, S., Xu, K., Sotiriadis, M. D., & Wang, Y. (2022) · Journal of Hospitality Leisure Sport & Tourism Education · doi:10.1016/j.jhlste.2022.100373 · Cited by 268 · cited 3× · see citing works
“PE represents the degree to which an individual has fun and pleasure as a result of uti - lizing a particular technology (Shen et al., 2022; Venkatesh, 2000 , p.351) states that PE is the degree to which “the activity of using a specific system is perceived to be enjoyable in its own right, aside…”
BackgroundAl‐Adwan, A. S., Albelbisi, N. A., Hujran, O., Al-Rahmi, W. M., & Alkhalifah, A. (2021) · Sustainability · doi:10.3390/su13169453 · Cited by 246 · cited 1× · see citing works
“Earlier research has revealed that PU positively affects educational technology adoption intentions (Al-Rahmi et al., 2022; Akour et al., 2022 ; Al-Adwan et al., 2018, 2021; Martinho et al., 2018).”
BackgroundDou, K., Yu, P., Deng, N., Liu, F., Guan, Y., Li, Z., Ji, Y., Du, N., Lü, X., & Duan, H. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7886 · Cited by 232 · cited 1× · see citing works
“Moreover, most of the TAM-related studies have ignored users’ negative (inhibiting) perceptions in favor of focusing only on their positive (enabling) ones (Dou et al., 2017; Cenfetelli, 2004).”
BackgroundSuzuki, S.-N., Kanematsu, H., Barry, D. M., Ogawa, N., Yajima, K., Nakahira, K. T., Shirai, T., Kawaguchi, M., Kobayashi, T., & Yoshitake, M. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.09.249 · Cited by 226 · cited 1× · see citing works
“It is believed that the existence of the metaverse might well serve as a new educational setting (Prieto et al., 2022 ; Suzuki et al., 2020).”
BackgroundE-learning acceptance based on technology acceptance model (TAM)
Ibrahim, R., Leng, N. S., Yusoff, R. C. M., Samy, G. N., Masrom, S., & Rizman, Z. I. (2018) · Journal of Fundamental and Applied Sciences · doi:10.4314/jfas.v9i4s.50 · Cited by 196 · cited 2× · see citing works
“Previous empirical findings have indicated that users with a high level of self-efficacy have robust perceptions of PU and PEU (Chahal & Rani, 2022; Thongsri et al., 2020 ; Fatima et al., 2017; Ibrahim et al., 2017; Abdullah & Ward, 2016).”
BackgroundTeng, Z., Cai, Y., Gao, Y., Zhang, X., & Li, X. (2022) · Mobile Information Systems · doi:10.1155/2022/5479215 · Cited by 193 · cited 2× · see citing works
“Therefore, the utilization of metaverse technology in education has the ability to enhance the online learning experience and make it simpler for educational service providers to establish virtual classrooms that imitate traditional classrooms (Teng et al., 2022 ).”
BackgroundYang, F., Ren, L., & Gu, C. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e10562 · Cited by 193 · cited 3× · see citing works
“While these results support those of earlier studies on the adoption of technology in education Wang et al., 2022a; Zhou et al., 2022 ; Faqih et al., 2021 ; Cabero-Almenara et al., 2019 ), they are inconsistent with others (e.g., Yang et al., 2022 ).”
BackgroundResultAdoption of augmented reality technology by university students
Almenara, J. C., Fernández‐Batanero, J. M., & Osuna, J. B. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01597 · Cited by 187 · cited 5× · see citing works
“Supporting this, PE is recognized as a crucial variable in determining the use intention with regard to innovative technologies such as VR technology (Lee et al., 2019a , b ) and AR technology (Cabero-Almenara et al., 2019 ).”
BackgroundResultInfluentialZhou, L., Xue, S., & Li, R. (2022) · SAGE Open · doi:10.1177/21582440221085259 · Cited by 168 · cited 3× · see citing works
“While these results support those of earlier studies on the adoption of technology in education Wang et al., 2022a; Zhou et al., 2022 ; Faqih et al., 2021 ; Cabero-Almenara et al., 2019 ), they are inconsistent with others (e.g., Yang et al., 2022 ).”
BackgroundResultFagan, M., Kilmon, C., & Pandey, V. (2012) · Campus-Wide Information Systems · doi:10.1108/10650741211212368 · Cited by 158 · cited 2× · see citing works
“Several studies have confirmed the significant effect of PIIT on PU, PEU, and BI (Fagan et al., 2012; Yi et al., 2006 ).”
BackgroundInvestigating the drivers and barriers to MOOCs adoption: The perspective of TAM
Al‐Adwan, A. S. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10250-z · Cited by 156 · cited 3× · see citing works
“In particular, the TAM has witnessed an increased level of use by scholars for the purpose of predicting learners’ acceptance of learning technologies (Shen et al., 2022; Al-Adwan, 2020; Al-Emran et al., 2018).”
BackgroundModifying UTAUT2 for a cross-country comparison of telemedicine adoption
Schmitz, A., Díaz‐Martín, A. M., & Guillén, M. J. Y. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107183 · Cited by 150 · cited 1× · see citing works
“Furthermore, the imaginary hypothetical settings for new and unknown innovative tech - nologies such as metaverse technology, are notoriously hard to operate in (Schmitz et al., 2022; Yang et al., 2022).”
BackgroundAl-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al‐Adwan, A. S. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10934-8 · Cited by 137 · cited 2× · see citing works
“Earlier research has revealed that PU positively affects educational technology adoption intentions (Al-Rahmi et al., 2022; Akour et al., 2022; Al-Adwan et al., 2018, 2021; Martinho et al., 2018).”
BackgroundExploring factors affecting the adoption of MOOC in Generation Z using extended UTAUT2 model
Meet, R. K., Kala, D., & Al‐Adwan, A. S. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11052-1 · Cited by 137 · cited 1× · see citing works
“This is probably because the respondants of this study are university students who belong to Generation Z (Z Gen) (born between 1995 and 2010 (Meet et al., 2022 )).”
BackgroundUsing Augmented Reality to Stimulate Students and Diffuse Escape Game Activities to Larger Audiences
Estudante, A., & Dietrich, N. (2020) · Journal of Chemical Education · doi:10.1021/acs.jchemed.9b00933 · Cited by 133 · cited 1× · see citing works
“Metaverse has higher creativity, greater levels of customization, and lesser risk to promote student interaction, boost engagement and motivation and expand traditional learning activities by offering opportunities for experiences that might not otherwise be possible (Estudante & Dietrich, 2020).”
BackgroundHumida, T., Al Mamun, M. H., & Keikhosrokiani, P. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10707-9 · Cited by 133 · cited 1× · see citing works
“It is claimed that PE significantly influences users’ intentions to adopt hedonic systems or technologies such as metaverse, as being ones which give users joy or pleasure (Humida et al., 2022; Van der Heijden, 2004 ).”
BackgroundAn extension of the technology acceptance model for online learning environments
Esteban-Millat, I., Martínez-López, F. J., Pujol-Jover, M., Gázquez‐Abad, J. C., & Cotas, A. A. (2018) · Interactive Learning Environments · doi:10.1080/10494820.2017.1421560 · Cited by 132 · cited 2× · see citing works
“Students are more likely to have a favorable opinion of a learning system and to have an increased intention to use it if they enjoy using it (Zhou et al., 2022; Esteban-Millat et al., 2018).”
BackgroundDeterminants of Intention to Use eLearning Based on the Technology Acceptance Model
Punnoose, A. C. (2012) · Journal of Information Technology Education Research · doi:10.28945/1744 · Cited by 126 · cited 1× · see citing works
“Such findings are similar to those of previous related studies in the area of educational technology (Wang et al., 2022a ; Cabero-Almenara et al., 2019 ; Huang, 2019 ; Punnoose, 2012 ).”
ResultJoo, Y. J., Lee, H. W., & Ham, Y.-K. (2014) · Journal of Computing in Higher Education · doi:10.1007/s12528-014-9081-2 · Cited by 124 · cited 1× · see citing works
“…of PIIT on PEU (or effort expectancy as an equivalent construct to PEU) in many contexts, such as personal digital assistants (PAD) (Yi et al., 2006), mobile learning (Joo et al., 2014), virtual learning (Raaij & Schepers, 2008), and healthcare technologies (Fan et al., 2020; Wu et al., 2011).”
BackgroundEvaluation for Students’ Learning Manner Using Eye Blinking System in Metaverse
Barry, D. M., Ogawa, N., Dharmawansa, A. D., Kanematsu, H., Fukumura, Y., Shirai, T., Yajima, K., & Kobayashi, T. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.08.181 · Cited by 121 · see citing works
User innovation and entrepreneurship in the virtual world: A study of Second Life residents
Chandra, Y., & Leenders, M. A. A. M. (2012) · Technovation · doi:10.1016/j.technovation.2012.02.002 · Cited by 113 · cited 1× · see citing works
“Chandra and Leenders (2012 ) describe the virtual world as a digital multimedia 3D online environment that takes inspiration from reality and allows users to interact using avatars.”
BackgroundPredicting Mobile Banking Acceptance and Loyalty in Chinese Bank Customers
Siyal, A. W., Ding, D., Umrani, W. A., Siyal, S., & Bhand, S. (2019) · SAGE Open · doi:10.1177/2158244019844084 · Cited by 108 · cited 2× · see citing works
“…indicates that perceived risk negatively influences not just behavior intentions with regard to technology, but also perceived use - fulness, since it includes both negative consequences and uncertainty (Sarosa, 2022; Jiang et al., 2022; Trinh et al., 2020; Siyal et al., 2019 ; Wang et al., 2018).”
BackgroundThongsri, N., Shen, L., & Bao, Y. (2019) · Innovations in Education and Teaching International · doi:10.1080/14703297.2019.1585904 · Cited by 106 · cited 2× · see citing works
“Previous empirical findings have indicated that users with a high level of self-efficacy have robust perceptions of PU and PEU (Chahal & Rani, 2022; Thongsri et al., 2020 ; Fatima et al., 2017; Ibrahim et al., 2017; Abdullah & Ward, 2016).”
BackgroundResultChahal, J., & Rani, N. (2022) · Journal of Computing in Higher Education · doi:10.1007/s12528-022-09327-0 · Cited by 101 · cited 6× · see citing works
“Previous related research has found that PIIT is a key determining factor with regard to BI, SE, PU and PEU (Akour et al., 2022; Chahal & Rani, 2022; Bubou & Job, 2022; Wang et al., 2021; Fatima et al., 2017).”
BackgroundResultInfluentialApproaching metaverses: Mixed reality interfaces in youth media platforms
Prieto, J. D. L. F., Lacasa, P., & Borda, R. M. (2022) · New Techno Humanities · doi:10.1016/j.techum.2022.04.004 · Cited by 98 · cited 1× · see citing works
“It is believed that the existence of the metaverse might well serve as a new educational setting (Prieto et al., 2022 ; Suzuki et al., 2020).”
BackgroundBubou, G. M., & Job, G. C. (2020) · Journal of Research in Innovative Teaching & Learning · doi:10.1108/jrit-12-2019-0079 · Cited by 95 · cited 3× · see citing works
“According to Bubou and Job (2022), self-efficacy is intricately connected to self-esteem and self-worth, denoting a person’s level of confidence in a certain circumstance or event.”
BackgroundTrinh, H. N., Tran, H. H., & Quan, V. D. H. (2020) · Asian Journal of Economics and Banking · doi:10.1108/ajeb-06-2020-0018 · Cited by 87 · cited 2× · see citing works
“…indicates that perceived risk negatively influences not just behavior intentions with regard to technology, but also perceived use - fulness, since it includes both negative consequences and uncertainty (Sarosa, 2022; Jiang et al., 2022; Trinh et al., 2020; Siyal et al., 2019 ; Wang et al., 2018).”
BackgroundDurak, H. Y. (2018) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12302 · Cited by 82 · see citing works
Quintana, M. G. B., & Fernández, S. M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.016 · Cited by 80 · cited 1× · see citing works
“According to Quintana and Fernandez ( 2015), virtual worlds have distinct features, including a three-dimensional format (making a more immersive experience than is the case with static images), active users’ role through the use of avatars, and a collabora - tive engagement with other users who…”
BackgroundTo Be or Not to Be in Thrall to the March of Smart Products
Schweitzer, F. M., & van den Hende, E. A. (2016) · Psychology and Marketing · doi:10.1002/mar.20920 · Cited by 75 · cited 1× · see citing works
“…allow them to engage readily with technological prod - ucts, which in turn boosts their favorable attitude towards products, causing them to focus their attention on the benefits of technological items and not be concerned about products performing as intended (Schweitzer & Van den Hende, 2016).”
BackgroundSolving the mystery of mobile learning adoption in higher education
Al‐Adwan, A. S., Al-Adwan, A., & Berger, H. (2017) · International Journal of Mobile Communications · doi:10.1504/ijmc.2018.088271 · Cited by 74 · see citing works
What Impacts the Acceptance of E-learning Through Social Media? An Empirical Study
Salloum, S. A., Al‐Emran, M., Habes, M., Alghizzawi, M., Ghani, M. A., & Shaalan, K. F. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-64987-6_24 · Cited by 71 · cited 1× · see citing works
“Furthermore, Salloum et al. ( 2021) suggest that human behavior in the metaverse settings should be described and investigated in an educational environ - ment in order to identify how it varies from behavior in the actual world.”
BackgroundLarionova, V. A., Brown, K. W., Bystrova, T., & Sinitsyn, E. (2018) · Research in Comparative and International Education · doi:10.1177/1745499918763420 · Cited by 67 · cited 1× · see citing works
“Individuals belonging to Gen Z are recognized as digital natives and as being tech-savvy, as they were born in the digital era and relied heavily on new technologies in their lives (Larionova et al., 2018).”
BackgroundBuilding a Smart Education Ecosystem from a Metaverse Perspective
Zhou, B. (2022) · Mobile Information Systems · doi:10.1155/2022/1938329 · Cited by 67 · cited 1× · see citing works
“With respect to the metaverse in education, computational problems are presented by the real-time collection and processing of interactive data between the virtual and physical worlds (Zhou, 2022 ).”
BackgroundVirtual laboratory for teaching Calculus: An immersive experience
Tarouco, L. M. R., Ávila, B. G., Corrêa, Y., do Amaral, É. M. H., & Müller, T. J. (2013) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon.2013.6530195 · Cited by 66 · cited 1× · see citing works
“In this way, the metaverse embraces actual learning environments (e.g., universities) by transforming them into a virtual environment in which instructors, students, and learning models may engage in collaborative and hybrid classrooms (Tarouco et al., 2013 ).”
BackgroundAl‐Adwan, A. S., & Berger, H. (2015) · International Journal of Healthcare Technology and Management · doi:10.1504/ijhtm.2015.074538 · Cited by 62 · cited 1× · see citing works
“Accordingly, the original TAM constructs have been modified and extended by a large body of research by adding further variables, most of which may be divided into two main groups: (1) perceived variables, and (2) external variables (Al-Adwan & Berger, 2015).”
BackgroundChen, J. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100237 · Cited by 59 · cited 1× · see citing works
“Chen (2022) points out that individuals with high PIIT often seek out novel experiences based on cutting-edge IT products such as the meta-verse.”
BackgroundSustainable Adoption of E-Learning from the TAM Perspective
Saleh, S. S., Nat, M. C., & Aqel, M. J. (2022) · Sustainability · doi:10.3390/su14063690 · Cited by 53 · cited 1× · see citing works
“Moreover, such studies have shown that PEU is a major antecedent of educational technology adoption intentions Saleh et al., 2022a, b ; Mensah et al., 2021).”
BackgroundRole of innovativeness and self-efficacy in tourism m-learning
Fatima, J. K., Ghandforoush, P., Khan, M. H., & Masico, R. D. (2017) · Tourism Review · doi:10.1108/tr-02-2017-0019 · Cited by 52 · cited 5× · see citing works
“Previous related research has found that PIIT is a key determining factor with regard to BI, SE, PU and PEU (Akour et al., 2022; Chahal & Rani, 2022; Bubou & Job, 2022; Wang et al., 2021; Fatima et al., 2017).”
BackgroundResultInfluentialRethinking Learning Design in IT Education During a Pandemic
Pappas, I. O., & Giannakos, M. N. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.652856 · Cited by 52 · cited 1× · see citing works
“COVID-19 disrupted education and high-lighted the importance of replicating in-person learning (Kim et al., 2022; Pappas & Giannakos, 2021 ).”
BackgroundLuo, Y., & Du, H. (2022) · Smart Learning Environments · doi:10.1186/s40561-022-00203-z · Cited by 51 · cited 1× · see citing works
“PEU4: “My interaction with metaverse educational platform is clear and understandable” Self-efficacy SE1: " I am confident that I can perform effectively on many different tasks” Luo & Du 2022 SE2: " When facing difficult tasks, I am certain that I will accomplish them.”
BackgroundHelp first-year college students to learn their library through an augmented reality game
Tang, Y. (2020) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2020.102294 · Cited by 48 · cited 2× · see citing works
“The educational applications of virtual environments and related technologies have been the primary focus of previous research (Tang, 2021; Sebastien et al., 2018).”
BackgroundNardi, A., & Ranieri, M. (2018) · British Journal of Educational Technology · doi:10.1111/bjet.12644 · Cited by 47 · cited 1× · see citing works
“…1986 ), many researchers have investi - gated self-efficacy in different contexts, domains, and perspectives, such as computer self-efficacy (Nardi & Ranieri, 2019), internet self-efficacy (Joo et al., 2000), tech - nology self-efficacy (Durak, 2018 ), and online learning self-efficacy…”
BackgroundWang, Y.-M., Chiu, W., Lin, H., Wang, Y.-S., Wang, Y.-Y., & Chen, I.-F. (2022) · Innovations in Education and Teaching International · doi:10.1080/14703297.2022.2098512 · Cited by 42 · cited 6× · see citing works
“Such findings are similar to those of previous related studies in the area of educational technology (Wang et al., 2022a ; Cabero-Almenara et al., 2019 ; Huang, 2019 ; Punnoose, 2012 ).”
BackgroundResultInfluentialHuang, Y. (2018) · Australasian Journal of Educational Technology · doi:10.14742/ajet.3330 · Cited by 39 · cited 1× · see citing works
“Such findings are similar to those of previous related studies in the area of educational technology (Wang et al., 2022a ; Cabero-Almenara et al., 2019 ; Huang, 2019 ; Punnoose, 2012 ).”
ResultA Study on Metaverse Awareness, Cyber Risks, and Steps for Increased Adoption
Sebastian, G. (2022) · International Journal of Security and Privacy in Pervasive Computing · doi:10.4018/ijsppc.308785 · Cited by 39 · cited 1× · see citing works
“While the effect of PCR on metaverse adoption intentions has not been investigated, it is expected that mitigating PCR would positively influence metaverse adoption intentions (Sebastian, 2022).”
BackgroundThe effect of perceived risks and perceived cost on using online learning by high school students
Sarosa, S. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2021.12.164 · Cited by 32 · cited 2× · see citing works
“…indicates that perceived risk negatively influences not just behavior intentions with regard to technology, but also perceived use - fulness, since it includes both negative consequences and uncertainty (Sarosa, 2022; Jiang et al., 2022; Trinh et al., 2020; Siyal et al., 2019 ; Wang et al., 2018).”
BackgroundFactors that Influence the Adoption of Postgraduate Online Courses
Martinho, D., Santos, E., Miguel, I., & Cordeiro, D. S. (2018) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v13i12.8864 · Cited by 31 · cited 1× · see citing works
“Earlier research has revealed that PU positively affects educational technology adoption intentions (Al-Rahmi et al., 2022; Akour et al., 2022 ; Al-Adwan et al., 2018, 2021; Martinho et al., 2018).”
BackgroundApplication of the Extended Reality Technology for Teaching New Languages: A Systematic Review
Tegoan, N., Wibowo, S., & Grandhi, S. (2021) · Applied Sciences · doi:10.3390/app112311360 · Cited by 26 · cited 1× · see citing works
“…reality (AR), extended reality (XR), and mixed reality (MR), do not, on their own, guarantee positive learning results (Marks & Thomas, 2022; Tegoan et al., 2021 ) due to issues related to the multisensory experiences of students in terms of teaching content quality and the appropriateness…”
BackgroundHong, J., Hwang, M., Tai, K., & Lin, P. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9628-4 · Cited by 25 · cited 1× · see citing works
“…many researchers have investi - gated self-efficacy in different contexts, domains, and perspectives, such as computer self-efficacy (Nardi & Ranieri, 2019), internet self-efficacy (Joo et al., 2000), tech - nology self-efficacy (Durak, 2018 ), and online learning self-efficacy (Hong et al., 2019).”
BackgroundFrom Visual Culture in the Immersive Metaverse to Visual Cognition in Education
Han, H. (2020) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-3250-8.ch004 · Cited by 23 · cited 1× · see citing works
“Learner-centered education and problem-based learning may both benefit from metaverse-based learning platforms (Han, 2020).”
BackgroundOn Students’ Willingness to Use Online Learning: A Privacy Calculus Theory Approach
Jiang, X., Goh, T., & Liu, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.880261 · Cited by 23 · cited 5× · see citing works
“Constant security concerns in online learning settings make it vital to examine how students perceive online learning related risks (Jiang et al., 2022).”
BackgroundInfluentialAn Integrated Theory for Chatbot Use in Air Travel: Questionnaire Development and Validation
Trapero, H. A., Ilao, J. P., & Lacaza, R. (2020) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon50793.2020.9293710 · Cited by 17 · cited 1× · see citing works
“PIIT is also found as an vital enabler of the e-learning adoption intention (Chahal & Rani, 2022), and Chatbot adoption intentions (Trapero et al., 2020).”
BackgroundHaque, M. Z., Qian, A., Amin, M., & Islam, T. (2020) · Journal of Information & Knowledge Management · doi:10.1142/s0219649220500185 · Cited by 14 · cited 2× · see citing works
“Moreover, PIIT is found to be a major enabler of PU (or performance expectancy as an equivalent construct to PU) in many contexts such as geotagging technology (Haque et al., 2020), online learning systems (Wang et al.”
BackgroundChristensen, R. W., & Knezek, G. (2015) · Cited by 13 · see citing works
Wang, W., & Lin, Y. (2021) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 12 · see citing works
Providing services through online immersive real-time mirror-worlds
Sébastien, D., Sébastien, O., & Conruyt, N. (2018) · doi:10.1145/3234253.3234292 · Cited by 10 · cited 1× · see citing works
“The educational applications of virtual environments and related technologies have been the primary focus of previous research (Tang, 2021; Sebastien et al., 2018).”
Background
Flagged first, then by citations
Research works printed but not linked: 5
- Bada SO Olusegun S Constructivism learning theory: A paradigm for teaching and learning Journal of Research & Method in Education 2015 5 6 66 70 10.9790/7388-05616670 · DOI
- Kim JH Lee BS Choi SJ A study on metaverse construction and use cases for non-face-to-face education The Journal of the Convergence on Culture Technology 2022 8 1 483 497 10.17703/JCCT.2022.8.1.483 · DOI
- Lee J Kim J Choi JY The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties Telematics and Informatics 2019 39 37 48 10.1016/j.tele.2018.12.006 · DOI · Paper page
- Mikusa, M. E. (2015). The effect of technology self-efficacy and personal engagement on students’ and teachers’ attitudes toward technology use in education (Doctoral dissertation). Appalachian State University.
- Saleh SS Nat M Aqel M Sustainable adoption of E-Learning from the TAM Perspective Sustainability 2022 14 6 3690 10.3390/su14063690 · DOI
Cited by
Sorted by citations
Exploring User Adoption of ChatGPT: A Technology Acceptance Model Perspective
Ma, J., Wang, P., Li, B., Wang, T., Pang, X. S., & Wang, D. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2314358 · Cited by 278 · see citing works
“While this study did not consider variables such as initial trust, perceived risk, and anthropomorphic traits within the TAM framework (Al-Adwan et al., 2023; Quan et al., 2023), it is critical to acknowledge the importance of these factors in prior research.”
Dahri, N. A., Yahaya, N., Al-Rahmi, W. M., Aldraiweesh, A., Alturki, U., Almutairy, S., Shutaleva, A., & Soomro, R. B. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29317 · Cited by 239 · see citing works
“Venkatesh et al. and Davis conducted research that emphasizes the significance of intention as a predictor of technology adoption [91,96].”
BackgroundThe meta-commerce paradox: exploring consumer non-adoption intentions
Al‐Adwan, A. S. (2024) · Online Information Review · doi:10.1108/oir-01-2024-0017 · Cited by 206 · see citing works
The Government Metaverse: Charting the Coordinates of Citizen Acceptance
Al‐Adwan, A. S. (2024) · Telematics and Informatics · doi:10.1016/j.tele.2024.102109 · Cited by 187 · see citing works
Al‐Adwan, A. S., Jafar, R. M. S., & Sitar‐Tăut, D. (2024) · Asia Pacific Management Review · doi:10.1016/j.apmrv.2024.09.004 · Cited by 187 · see citing works
Is it the end of the technology acceptance model in the era of generative artificial intelligence?
Mogaji, E., Viglia, G., Srivastava, P., & Dwivedi, Y. K. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-08-2023-1271 · Cited by 187 · see citing works
Al‐Adwan, A. S., & Al‐Debei, M. M. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12080-1 · Cited by 198 · see citing works
“Similarly, it has been shown that PIIT substantially influences performance expectations regarding advancements in professional achievement (Al-Adwan et al., 2023; Akour et al., 2022; Haque et al., 2020).”
Hazzan-Bishara, A., Kol, O., & Levy, S. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13393-z · Cited by 143 · see citing works
“Furthermore, TAM’s core principles focus on the individual level, which makes it particularly effective for studying technology adoption in autonomous settings like teaching (Al-Adwan et al., 2023; Granić & Marangunić, 2019).”
Closing the divide: Exploring higher education teachers’ perspectives on educational technology
Al‐Adwan, A. S., Meet, R. K., Kala, D., Smedley, J., Urbaníková, M., & Al-Rahmi, W. M. (2024) · Information Development · doi:10.1177/02666669241279181 · Cited by 145 · see citing works
“The globalization of education has necessitated the application of digital technologies, with online platforms being used for various academic purposes (Al-Adwan et al., 2023).”
Factors influencing business intelligence adoption by higher education institutions
Hmoud, H., Al‐Adwan, A. S., Horani, O. M., Yaseen, H., & Zoubi, J. Z. A. (2023) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2023.100111 · Cited by 130 · see citing works
Generative-AI, a Learning Assistant? Factors Influencing Higher-Ed Students' Technology Acceptance
Kanont, K., Pingmuang, P., Simasathien, T., Wisnuwong, S., Wiwatsiripong, B., Poonpirome, K., Songkram, N., & Khlaisang, J. (2024) · The Electronic Journal of e-Learning · doi:10.34190/ejel.22.6.3196 · Cited by 111 · see citing works
“The positive or negative feelings of an individual towards the use of cognitive artificial intelligence in the educational process (Al-Adwan et al., 2023; Chatterjee and Bhattacharjee, 2020; Chou et al., 2022; Cruz-Benito et al., 2019; Sing et al., 2022).”
BackgroundAl‐Adwan, A. S., Meet, R. K., Anand, S., Shukla, G. P., Alsharif, R., & Dabbaghia, M. N. (2024) · Studies in Higher Education · doi:10.1080/03075079.2024.2343955 · Cited by 106 · see citing works
“While TAM provides high-level understanding of users’ technology adoption, it has limitations (Al-Adwan et al. 2023).”
Shahzad, M. F., Xu, S., & Asif, M. (2025) · British Educational Research Journal · doi:10.1002/berj.4084 · Cited by 103 · see citing works
Investigating Users’ Acceptance of the Metaverse with an Extended Technology Acceptance Model
Wu, R., & Yu, Z. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2241295 · Cited by 107 · see citing works
“This approach was selected based on previous studies which had demonstrated its efficacy in targeting participants with Metaverse experience (e.g., Al-Adwan et al., 2023).”
InfluentialUnlocking future learning: Exploring higher education students' intention to adopt meta-education
Al‐Adwan, A. S., Alsoud, M. A., Li, N., Majali, T., Smedley, J., & Habibi, A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29544 · Cited by 111 · see citing works
“It exemplifies the capacity and motivation of students to think creatively, generate innovative ideas, and utilize technology for learning [5].”
InfluentialGupta, R., Rathore, B., Biswas, B. N., Jaiswal, M. P., & Singh, R. K. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103882 · Cited by 93 · see citing works
ChatGPT adoption and its influence on faculty well-being: an empirical research in higher education
Cambra-Fierro, J. J., Blasco, M. F., López-Pérez, M.-E. E., & Trifu, A. (2025) · Education and Information Technologies · doi:10.1007/s10639-024-12871-0 · Cited by 97 · see citing works
“Recent studies have underscored the convenience and applicability of TAM to explain the adoption of e-learning methodologies, technologies and tools within educational contexts (e.g., Al-Adwan et al., 2023; He et al., 2023 ; Mailizar et al., 2021 ; Al-Qaysi et al., 2020 ).”
Li, W., Zhang, X., Li, J., Yang, X., Li, D., & Liu, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-64363-3 · Cited by 78 · see citing works
Alkhwaldi, A. F. (2024) · Sustainability · doi:10.3390/su16020934 · Cited by 83 · see citing works
Sun, T., Di, K., Hu, J., Shi, Q., & Irfan, M. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104216 · Cited by 77 · see citing works
Tumpa, R. J., & Naeni, L. M. (2025) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-10-2024-0451 · Cited by 74 · see citing works
AI Adoption and Educational Sustainability in Higher Education in the UAE
Shwedeh, F., Salloum, S. A., Aburayya, A., Fatin, B., Elbadawi, M. A., Ghurabli, Z. A., & Aldabbagh, T. (2024) · Studies in big data · doi:10.1007/978-3-031-52280-2_14 · Cited by 83 · see citing works
The sweet escape to metaverse: Exploring escapism, anxiety, and virtual place attachment
Pal, D., & Arpnikanondt, C. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107998 · Cited by 69 · see citing works
The Next-Generation Shopper: A Study of Generation-Z Perceptions of AI in Online Shopping
Bunea, O.-I., Corboș, R.-A., Mișu, S. I., Triculescu, M., & Trifu, A. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19040125 · Cited by 66 · see citing works
Xiao, J., Xu, Z., Xiao, A., Wang, X., & Škare, M. (2024) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2024.100622 · Cited by 74 · see citing works
Factors influencing meta-banking adoption: an empirical study
Yaseen, H., Ayoub, M. A.-S., Hattar, C., Al‐Adwan, A. S., & Alsoud, M. A. (2024) · Journal of financial reporting & accounting · doi:10.1108/jfra-12-2023-0765 · Cited by 67 · see citing works
Ikhsan, R. B., Fernando, Y., Prabowo, H., Yuniarty, Y., Gui, A., & Kuncoro, E. A. (2024) · Digital Business · doi:10.1016/j.digbus.2024.100103 · Cited by 99 · see citing works
Navigating the roadmap to meta-governance adoption
Al‐Adwan, A. S., Al-masaeed, S., Yaseen, H., Balhareth, H., Al-Mu’ani, L., & Pavlíková, M. (2024) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-02-2024-0105 · Cited by 57 · see citing works
Ma, M. (2024) · International Journal of Applied Linguistics · doi:10.1111/ijal.12603 · Cited by 55 · see citing works
Journey into meta-commerce: unveiling the driving forces of consumer adoption
Balhareth, H., Al‐Adwan, A. S., Alsoud, A. R., Abd-Aljaber, O., Al-Rahmi, W. M., & Urbaníková, M. (2024) · Global Knowledge, Memory and Communication · doi:10.1108/gkmc-05-2024-0307 · Cited by 53 · see citing works
Faraon, M., Rönkkö, K., Milrad, M., & Tsui, E. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13492-x · Cited by 50 · see citing works
“The TAM model continues to be adapted and extended to study emerging technologies in education, as demonstrated by recent work examining metaverse-based learning platforms (Al-Adwan et al., 2023).”
Why do people use Metaverse? A uses and gratification theory perspective
Yu, H. (2024) · Telematics and Informatics · doi:10.1016/j.tele.2024.102110 · Cited by 50 · see citing works
Li, J., & Lv, C. (2024) · PLoS ONE · doi:10.1371/journal.pone.0308267 · Cited by 55 · see citing works
Ezeudoka, B. C., & Fan, M. (2024) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2024.03.007 · Cited by 46 · see citing works
Zhao, Z., An, Q., & Liu, J. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1619391 · Cited by 72 · see citing works
Perceptions and drivers of the metaverse adoption: A mixed‐methods study
Adhini, N. V., & Prasad, C. V. V. S. N. V. (2024) · International Journal of Consumer Studies · doi:10.1111/ijcs.13069 · Cited by 44 · see citing works
A meta-analysis of learners’ continuance intention toward online education platforms
Dai, J., Zhang, X., & Wang, C. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12654-7 · Cited by 39 · see citing works
“Perceived usefulness refers to learners’ cognitive assessment of whether the learning content, resources, and services provided by the online education platform can help them achieve their learning objectives (Al-Adwan et al., 2023; Luo, 2023).”
Natarajan, T., Pragha, P., & Dhalmahapatra, K. (2024) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-03-2024-0395 · Cited by 40 · see citing works
RetractedHow could entertainment content marketing affect intention to use the metaverse? Empirical findings
Alsoud, M. A., Trawnih, A. A., Yaseen, H., Majali, T., Alsoud, A. R., & Abdeljaber, O. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2024.100258 · Cited by 49 · see citing works
Understanding metaverse adoption in education: The extended UTAUMT model
Nguyen, A., Le, T.-T., Dang, T.-Q., & Nguyen, L.-T. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e38741 · Cited by 45 · see citing works
“[20], [21], [71], [72].”
BackgroundSingh, M., Sun, D., & Zheng, Z. (2024) · Future in Educational Research · doi:10.1002/fer3.56 · Cited by 38 · see citing works
Liu, Y., Wang, Q., & Lei, J. (2025) · Behavioral Sciences · doi:10.3390/bs15081040 · Cited by 34 · see citing works
Tan, C. N.-L., Tee, M., & Koay, K. Y. (2024) · Asian Education and Development Studies · doi:10.1108/aeds-04-2024-0096 · Cited by 31 · see citing works
Mirza, R., Lytras, M. D., Alzamzami, O., Khuzayem, L. A., Alharbi, H., Alshammari, S. M., Bafail, A., Basbrain, A. M., Alharbi, E., Bajnaid, N., et al. (2023) · Telematics and Informatics · doi:10.1016/j.tele.2023.102074 · Cited by 32 · see citing works
Sam, S. J. I., & Jasim, K. M. (2023) · Management Review Quarterly · doi:10.1007/s11301-023-00388-8 · Cited by 35 · see citing works
“The technological acceptance model (TAM) and the information systems success model (ISS) can be used to analyze consumer behavior towards chatbots (Al-Adwan et al. 2023).”
Abubakari, M. S., Zakaria, G. A. N., & Musa, J. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2430869 · Cited by 30 · see citing works
“Empirically, recent studies have demonstrated the significant effects of PEU on both PU and BI, PU on BI (Abu-AlSondos et al., 2023; Al-Adwan et al., 2023), and self-efficacy on PEU (Al-Adwan et al., 2023).”
Human values and traveler behaviors: metaverse for conferences and meetings
Ariza‐Montes, A., Quan, W., Radić, A., Yu, J., & Han, H. (2023) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2023.2263766 · Cited by 30 · see citing works
Cudjoe, D., Zhu, B., & Wang, H. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103861 · Cited by 29 · see citing works
Akyürek, S., Genç, G., ÇALIK, İ., & Şengel, Ü. (2024) · Journal of Hospitality Leisure Sport & Tourism Education · doi:10.1016/j.jhlste.2024.100503 · Cited by 43 · see citing works
Satisfaction and performance expectations for the adoption of the metaverse in tourism SMEs
Chaves, P. L., Gil‐Cordero, E., García, A. N., & Maldonado-López, B. (2024) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2024.100535 · Cited by 33 · see citing works
Al-kfairy, M., Sendaba, O., & Alfandi, O. (2026) · Kybernetes · doi:10.1108/k-11-2024-3057 · Cited by 29 · see citing works
Artificial Intelligence Technologies as Smart Solutions for Sustainable Protected Areas Management
Atalay, A., Perkumienė, D., Safaa, L., Škėma, M., & Aleinikovas, M. (2025) · Sustainability · doi:10.3390/su17115006 · Cited by 29 · see citing works
Uludağ, F., Kılıç, E., & Çelik, H. E. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-05641-x · Cited by 38 · see citing works
“Therefore, the extended TAM framework has been used in many studies to predict student acceptance of AI technologies and ChatGPT (Al-Adwan et al. 2023; Baig and Yadegaridehkordi, 2024; Saihi et al. 2024).”
Mukred, M., Mokhtar, U. A., Hawash, B., AlSalman, H., & Zohaib, M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26315 · Cited by 50 · see citing works
“Furthermore, LAT entails data analysis following data gathering from student interactions with educational and information technology to explain the learning process and enhance decision-making [22,23].”
MethodSaleh, M. I. (2024) · Current Issues in Tourism · doi:10.1080/13683500.2024.2322694 · Cited by 28 · see citing works
“While previous TAM studies in tourism have focused on websites, smart-phone apps, and social media (Al-Adwan et al., 2023; Jayawardena et al., 2023; Kao & Huang, 2023), this research extends the model to virtual and augmented reality technologies.”
Kraiwanit, T., Limna, P., & Wattanasin, P. (2024) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2024.100287 · Cited by 28 · see citing works
University Educators Perspectives on ChatGPT: A Technology Acceptance Model-Based Study
Barakat, M. M., Salim, N. A., & Sallam, M. (2025) · Open Praxis · doi:10.55982/openpraxis.17.1.718 · Cited by 45 · see citing works
“This result is understandable based on the previous evidence showing the higher likelihood of adopting a novel technology if it is perceived as beneficial (Al-Adwan et al., 2023; Mohammed et al., 2021; Nguyen & Simkin, 2017).”
Enhancing Critical Writing Through AI Feedback: A Randomized Control Study
Zhang, K. (2025) · Behavioral Sciences · doi:10.3390/bs15050600 · Cited by 44 · see citing works
“%) attributable to contextual moderators (Al-Adwan et al., 2023; Salloum, 2018; Tawafak et al., 2023).”
Hui, M., & Li, N. (2024) · IEEE Access · doi:10.1109/access.2024.3441088 · Cited by 29 · see citing works
“More recent research has also emphasized this relationship [68].”
BackgroundSripan, T., & Jeerapattanatorn, P. (2025) · Contemporary Educational Technology · doi:10.30935/cedtech/16434 · Cited by 26 · see citing works
An empirical investigation of college students’ acceptance of translation technologies
Li, X., Gao, Z., & Liao, H. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297297 · Cited by 34 · see citing works
Yang, J. T., & Lou, K. (2024) · Asia Pacific Journal of Education · doi:10.1080/02188791.2024.2336247 · Cited by 32 · see citing works
“…TAM has undergone extensive empirical testing as a valid model for explaining individuals’ technology acceptance within educational settings, spanning a diverse array of technologies and demographic groups (Al-Adwan et al., 2023; Huang et al., 2021; Marangunić & Granić, 2015; Teo et al., 2019).”
Unlocking innovation: how enjoyment drives GenAI use in higher education
Cano, J. R., & Núñez, N. A. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1483853 · Cited by 36 · see citing works
Li, J., Jin, M., & Chen, X. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1521174 · Cited by 38 · see citing works
Ren, J., Guo, J., & Li, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-18873-3 · Cited by 33 · see citing works
“According to the Technology Acceptance Model (TAM) proposed by Davis 54 perceived ease of use and perceived usefulness are regarded as key factors associated with individuals’ acceptance and use of technology 55 .”
What factors influence the intention to adopt blockchain technology in accounting education?
Al‐Hattami, H. M. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-03315-8 · Cited by 24 · see citing works
“The study utilized the key variables from TAM — perceived usefulness, perceived ease of use, attitude, and behavioral intention (Davis, 1989; Gado et al. 2022; Ullah et al. 2021; Al-Hattami, 2023; Al-Hattami and Almaqtari, 2023; Al-Adwan et al. 2023).”
Musyaffi, A. M., Adha, M. A., Mukhibad, H., & Oli, M. C. (2024) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2024.101168 · Cited by 43 · see citing works
Pan, L., Luo, H., & Gu, Q. (2025) · IEEE Access · doi:10.1109/access.2025.3546572 · Cited by 24 · see citing works
“Besides that, most TAM studies have confirmed that PEOU can significantly impact users’ PU of AI products, including AI robots [37] and metaverse-based learning platforms [38].”
Ninghardjanti, P., Umam, M. C., Subarno, A., Winarno, W., Langgi, N. R., & Widodo, J. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1719625 · Cited by 42 · see citing works
Liang, Y., Zhang, X., Wang, H., & Liu, M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e33394 · Cited by 30 · see citing works
Baksh, F., Zorec, M. B., & Kruusamäe, K. (2024) · Applied Sciences · doi:10.3390/app14135644 · Cited by 22 · see citing works
Man, S. S., Fang, Y., Chan, A. H. S., & Han, J. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12969-5 · Cited by 24 · see citing works
Immersive metaverse technologies for education and training in tourism and hospitality
Aldawsari, R., Buhalis, D., & Roushan, G. (2025) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-01-2025-0126 · Cited by 26 · see citing works
Psychological safety and trust as drivers of teachers’ continued use of AI tools in classrooms
Shen, L., Qiu, N., & Wang, Z. (2025) · Scientific Reports · doi:10.1038/s41598-025-13789-4 · Cited by 33 · see citing works
“TAM developed by Davis (1989), is one of the most widely used frameworks for understanding user acceptance of new technologies 12 .”
Maričić, M., Anđić, B., Soeharto, S., Mumcu, F., Cvjetičanin, S., & Lavicza, Z. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13141-9 · Cited by 27 · see citing works
“In addition to the mentioned variables, in recent research, numerous authors have added new external variables (e.g. see Al-Adwan et al., 2023; Binyamin et al., 2019; Cheng, 2017; Mutambara & Bayaga, 2021; Zhang et al., 2022; Zhu et al., 2019), and new exogenous variables with a direct effect on…”
Bamasoud, D. M., Nassr, R. M., & Bilal, S. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9100264 · Cited by 36 · see citing works
“EOU, positively affecting intention, is likewise in line with prior findings that usability can directly encourage technology acceptance [35,36].”
Fan, C. (2023) · Cogent Social Sciences · doi:10.1080/23311886.2023.2260566 · Cited by 21 · see citing works
“Al-Adwan et al. (2023) discovered that PEOU significantly and positively affects PU of university students’ acceptance of Metaverse-based learning platforms.”
BackgroundXing, J., & Jiang, Q. (2024) · Kybernetes · doi:10.1108/k-10-2023-2237 · Cited by 28 · see citing works
Truc, L. T. (2024) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2024.100322 · Cited by 21 · see citing works
Ahankoob, A., Abbasnejad, B., & Aranda‐Mena, G. (2025) · Buildings · doi:10.3390/buildings15111804 · Cited by 20 · see citing works
Lu, H., Chang, Y.-C., & Chen, C.-S. (2024) · Virtual Reality · doi:10.1007/s10055-024-00983-4 · Cited by 20 · see citing works
“Another widely used theory in the field is the TAM (Al-Adwan et al. 2023), which focuses on individual users’ acceptance of new technology.”
Kavitha, K., & Joshith, V. P. (2024) · Bulletin of Science Technology & Society · doi:10.1177/02704676241283362 · Cited by 26 · see citing works
“…realm of information technology, individuals with an elevated level of personal innovativeness are more likely to appraise technological advancements (Al-Adwan et al., 2023) favorably and possess the capacity to overcome the challenges associated with adopting new technology (Ciftci et al., 2021).”
Critical factors for why ChatGPT enhances learning engagement and outcomes
Wu, C., & Ho, V. T. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13346-6 · Cited by 24 · see citing works
“TAM has been widely applied in educational technology research, emphasizing that perceived usefulness and ease of use contribute to improving users’ attitudes (Al-Adwan et al., 2023; Rafique et al., 2020; Yang & Wang, 2019).”
Liu, J., Wang, X., & Zhang, J. (2025) · Behavioral Sciences · doi:10.3390/bs15050697 · Cited by 19 · see citing works
Patre, S., Chakraborty, D., Kar, A. K., Singu, H. B., & Tiwari, D. A. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3328261 · Cited by 19 · see citing works
“…of upskilling content for diverse employees from different countries, thereby promoting easier collaboration; the remote training and real-time monitoring for evaluation are facilitated by 5G and IoT; and VR and AR help to expose users to real-life scenarios in simulated environments [19].”
BackgroundTrust shaping the social relationship of diverse learners in the online education environment
Kanaris, M., & Mujtaba, B. G. (2023) · Environment and Social Psychology · doi:10.54517/esp.v9i2.2197 · Cited by 19 · see citing works
“Recent researchers on online learning using the technology acceptance model (TAM) and the impact of various platforms, such as social media, indicate that there is still much to be learned before its anticipated potential can be reached [16] .”
BackgroundAl‐Emran, M. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2024.2324326 · Cited by 22 · see citing works
“It is described as the next iteration of the Internet (Al-Adwan et al., 2023; Ooi, Wei-Han Tan, Al-Emran, Al-Shara fi , Arpaci, et al., 2023).”
Yang, J., & Lou, K. (2024) · Learning and Motivation · doi:10.1016/j.lmot.2024.101986 · Cited by 23 · see citing works
AI in medical education: the moderating role of the chilling effect and STARA awareness
Wu, M., Huang, X., Jiang, B., Li, Z., Zhang, Y., & Gao, B. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05627-4 · Cited by 24 · see citing works
“They both have strong theoretical foundations that have been tested with different samples and in different situations and proved to be valid and reliable [4–6], and therefore, the pres-ent study uses them as the modeling foundation for this study of them.”
BackgroundEveryday Metaverse: The Metaverse as an Integral Part of Everyday Life
Wang, G., Zhang, Z., Nandhakumar, J., & Manoharan, N. (2025) · Journal of Management Information Systems · doi:10.1080/07421222.2025.2455772 · Cited by 18 · see citing works
Sabiteka, M., Yu, X., & Sun, C. (2025) · Sustainability · doi:10.3390/su17083592 · Cited by 18 · see citing works
Aldreabi, H., Halalsheh, N. Z., Alrawashdeh, M. N., Alnajdawi, A. M., Alsawalqa, R. O., & Al-Shboul, M. A. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1226718 · Cited by 18 · see citing works
Khlaif, Z. N., Salama, N., Hamamra, B. T., & Mousa, A. (2025) · JMIR Medical Education · doi:10.2196/65042 · Cited by 17 · see citing works
Rashid, S. (2025) · Education Sciences · doi:10.3390/educsci15060756 · Cited by 26 · see citing works
Shopping in the Metaverse: Decoding Consumer Intentions
Abdeljaber, O., Al‐Adwan, A. S., Yaseen, H., Falahat, M., Abdullah, A., & Fauzi, M. A. (2025) · The International Information & Library Review · doi:10.1080/10572317.2025.2594293 · Cited by 20 · see citing works
“Many studies conducted in the field of VR and metaverse have revealed that the behavioral intention to use such technologies is influenced by both PU (Huang & Liaw, 2018; Israel et al., 2019; Al-Adwan et al., 2023), and PEU (Akour et al., 2022; Alkarney & Almakki, 2022).”
InfluentialThe effect of Arabic language type on banking chatbots adoption
Hmoud, H., Shishan, F., Qasem, Z., & Bazi, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20686 · Cited by 23 · see citing works
“The Literature of technology acceptance presents several theories and models that where utilized to explain consumer adoption of new technology (e.g., Technology acceptance model ([41,49 – 51]), IS success model ([52,53]), and the UTAUT ([54]).”
BackgroundFaith in metaverse: understanding adoption intentions of metaverse amongst the Muslim students
Azhar, M., Ali, R., Naz, A., & Sujood, S. (2024) · Journal of Islamic marketing · doi:10.1108/jima-01-2024-0051 · Cited by 20 · see citing works
Understanding Metaverse Consumers Through Escapism Motives: Focusing on Roblox and Zepeto
Hur, H. J., & Baek, E. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2384830 · Cited by 18 · see citing works
“These results align with existing research indicating that metaverse users find new technologies enjoyable and useful when the platform is user-friendly (e.g., Al-Adwan et al., 2023).”
Xia, T., Pan, X., Cao, M., & Guo, J. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13491-y · Cited by 18 · see citing works
“These results stand in contrast to the findings recently reported by Zogheib and Zogheib (2024) and Al-Adwan et al. (2023) regarding students’ adoption of ChatGPT; namely, those authors concluded that PU positively affects BI, whereas PEOU has a nonsignificant effect on BI.”
Alkhawaja, L. A., Idris, M., Al-Sayyed, S. W., & Jaber, A. M. A. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1691148 · Cited by 16 · see citing works
- Authors
- Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A.
- Affiliations
- Xi’an Jiaotong-Liverpool University (CN)
- Al-Ahliyya Amman University (JO)
- King Fahd University of Petroleum and Minerals (SA)
- University of Malaya (MY)
- Universitas Jambi (ID)
- Corresponding author
- Al-Adwan, Amer
- ORCID
- Venue
- Education and Information Technologies
- Published
- 2023-04-28
- Volume
- 28
- Issue
- 11
- Pages
- 15381-15413
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC10140721
- OpenAlex
- W4367316498
- Cited by
- 637
- References
- 116
- Citations by year
- 2026: 169 · 2025: 244 · 2024: 191 · 2023: 33
- FWCI
- 732.78
- Type
- book chapter
- Language
- en
- Update notices
- correction (2023-06-02)
- Open access
- hybrid
- doi.org
- Locations
- Education and Information Technologies (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Hamad bin Khalifa University
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Education and Learning Interventions
- Social Sciences › Education › Online and Blended Learning
- Keywords
- metaverse, technology acceptance model, technology adoption, behavioral intention, university students, perceived usefulness, perceived ease of use, perceived enjoyment, personal innovativeness, self-efficacy, immersive learning, online learning
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