Authors :
Shatabdi Nannaware; Dr. Poornima Sherawat; Dr.Naresh Babu
Volume/Issue :
Volume 9 - 2024, Issue 6 - June
Google Scholar :
https://shorturl.at/UpQnE
Scribd :
https://tinyurl.com/smwz8j94
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24JUN646
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Augmented Reality (AR) and Virtual Reality
(VR) technologies have rapidly revolutionized learning
processes by providing immersive digital experiences,
interactive environments, simulations, and interactive
opportunities These technologies has gained traction in
education, and offers learning opportunities enhanced by
technology. They offer a wide range of benefits for
students and teachers, making learning fun and engaging.
The purpose of this study was to investigate the
acceptance and perception of AR and VR technologies
among students in education and their potential to
enhance their learning experiences. Various theoretical
frameworks such as the Unified Theory of Acceptance
and Use of Technology (UTAUT) and the Technology
Acceptance Model (TAM) are considered to understand
the adoption of AR and VR technologies in education.
There are quality systems and user input The study aims
to address gaps in existing research through an enhanced
model that includes user experience variables, specific AR
and VR variables, and specific usability factors for
university students, especially in business. However, the
limitations of the study are acknowledged, as the
proposed framework is based solely on a literature
review. Further research efforts will focus on establishing
the validity and reliability of this theoretical framework
through primary data collection and quantitative
analysis.
References :
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- Chahal, J., & Rani, N. (2022). Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-022-09327-0
- Chen, C. (2020). AR videos as scaffolding to foster students’ learning achievements and motivation in EFL learning. British Journal of Educational Technology, 51(3), 657–672. https://doi.org/10.1111/ bjet.12902
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- Dummett, M. (2007). Thought and Reality. Ars Disputandi, Volume 7 (2007). www.researchgate.net/ profile/Benjamin-Murphy/publication/27710435_ Thought_and_Reality/links/0c96053976bb0d1bac000000/Thought-and-Reality.pdf
- Furió, D., González-Gancedo, S., Juan, M.-C., Seguí, I., & Costa, M. (2013). The effects of the size and weight of a mobile device on an educational game. Computers & Education, 64, 24–41. https://doi.org/ 10.1016/j.compedu.2012.12.015
- Huang, X., Zou, D., Cheng, G., & Xie, H. (2021). A Systematic Review of AR and VR Enhanced Language Learning. Sustainability, 13(9), 4639. https://doi.org/10.3390/su13094639
- Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences / Revue Canadienne Des Sciences de L’Administration, 33(2), 138–152. https://doi.org/10.1002/cjas.1381
- Kurilovas, E. (2016). Evaluation of quality and personalisation of VR/AR/MR learning systems. Behaviour & Information Technology, 35(11), 998–1007. https://doi.org/10.1080/0144929x.2016. 1212929
- Muschio, G., Zhu, J., & Foster, A. (2015). Revitalizing Peale’s Museum as a digital interactive learning environment. https://doi.org/10.1109/digitalheritage. 2015.7419598
- Papanastasiou, G., Drigas, A., Skianis, C., Lytras, M., & Papanastasiou, E. (2018a). Patient-centric ICTs based healthcare for students with learning, physical and/or sensory disabilities. Telematics and Informatics, 35(4), 654–664. https://doi.org/10.1016/ j.tele.2017.09.002
- Papanastasiou, G., Drigas, A., Skianis, C., Lytras, M., & Papanastasiou, E. (2018b). Virtual and augmented reality effects on K-12, higher and tertiary education students’ twenty-first century skills. Virtual Reality, 23(4). https://doi.org/10.1007/s10055-018-0363-2
- Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User Acceptance of Virtual Reality: An Extended Technology Acceptance Model. International Journal of Human–Computer Interaction, 36(11), 1–15. https://doi.org/ 10.1080/10447318.2019.1708612
- Shrestha, Indra Mani & Luitel, Bal & Pant, Binod & Dahal, Niroj & Manandhar, Netra. (2023)
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- Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., Anandkumar, A., Bergen, K., Gomes, C. P., Ho, S., Kohli, P., Lasenby, J., Leskovec, J., Liu, T.-Y., Manrai, A., & Marks, D. (2023). Scientific discovery in the age of artificial intelligence. Nature, 620(7972), 47–60. https://doi.org/10.1038/s41586-023-06221-2
Augmented Reality (AR) and Virtual Reality
(VR) technologies have rapidly revolutionized learning
processes by providing immersive digital experiences,
interactive environments, simulations, and interactive
opportunities These technologies has gained traction in
education, and offers learning opportunities enhanced by
technology. They offer a wide range of benefits for
students and teachers, making learning fun and engaging.
The purpose of this study was to investigate the
acceptance and perception of AR and VR technologies
among students in education and their potential to
enhance their learning experiences. Various theoretical
frameworks such as the Unified Theory of Acceptance
and Use of Technology (UTAUT) and the Technology
Acceptance Model (TAM) are considered to understand
the adoption of AR and VR technologies in education.
There are quality systems and user input The study aims
to address gaps in existing research through an enhanced
model that includes user experience variables, specific AR
and VR variables, and specific usability factors for
university students, especially in business. However, the
limitations of the study are acknowledged, as the
proposed framework is based solely on a literature
review. Further research efforts will focus on establishing
the validity and reliability of this theoretical framework
through primary data collection and quantitative
analysis.