ABSTRACT
The development of Extended Reality (XR) technologies has reached a new advanced level today, which could be proposed as the main support in solving education problems in Indonesia. As a result, this manuscript seeks to provide an initial framework to support the idea of suggesting the most recent XR technologies as primary instruments in promoting the Sustainable Development of Learning and Education (SDLE). Based on the literature review, the old but gold Technology Acceptance Model (TAM) framework is extended with several constructs in proposing this initial framework. Several constructs proposed in this initial proposed framework are Perceived Easy-of-Use (PEOU), Perceived Usefulness (PU), Attitude Toward Use (ATU), Intention to Use (ITU), User Satisfaction (US), Learner Flexibility (LF), Self-Efficacy (SF), and Perceived Health Risk (PRH). Certainly, further research is needed to assess and determine the validity of this preliminary framework in order to serve as a guide for scientists, experts, and other stakeholders interested in integrating XR technologies for SDLE.
Supplemental Material
- Icek Ajzen. 1991. The Theory of Planned Behavior. Organ. Behav. Hum. Decis. Process. 50, 2 (1991), 179–211. DOI:https://doi.org/10.1016/0749-5978(91)90020-TGoogle ScholarCross Ref
- Icek Ajzen and Martin Fishbein. 1980. Understanding attitudes and predicting social behavior. Prentice-Hall, Englewood Cliffs, N.J.Google Scholar
- Mahmud Akhter Shareef, Vinod Kumar, Uma Kumar, and Ahsan Akhter Hasin. 2009. Theory of Planned Behavior and Reasoned Action in Predicting Technology Adoption Behavior. In Handbook of Research on Contemporary Theoretical Models in Information Systems. IGI Global, 544–562. DOI:https://doi.org/10.4018/978-1-60566-659-4.ch031Google Scholar
- Wadee S Alhalabi. 2016. Virtual reality systems enhance students ’ achievements in engineering education. Behav. Inf. Technol. 3001, July (2016). DOI:http://dx.doi.org/10.1080/0144929X.2016.1212931Google ScholarDigital Library
- Santi Ambarrukmi. 2022. Kemendikbudristek Harap Skor PISA Indonesia Segera Membaik. Radio Edukasi KEMDIKBUD. Retrieved August 9, 2022 from https://radioedukasi.kemdikbud.go.id/read/3341/kemendikbudristek-harap-skor-pisa-indonesia-segera-membaik.htmlGoogle Scholar
- Ibrahim Arpaci. 2017. Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Comput. Human Behav. 70, (2017), 382–390. DOI:https://doi.org/10.1016/j.chb.2017.01.024Google ScholarDigital Library
- Eddie W.L. Cheng. 2019. Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educ. Technol. Res. Dev. 67, 1 (2019), 21–37. DOI:https://doi.org/10.1007/s11423-018-9598-6Google ScholarCross Ref
- George B. Cunningham and Hyungil Kwon. 2003. The Theory of Planned Behaviour and Intentions to Attend a Sport Event. Sport Manag. Rev. 6, 2 (2003), 127–145. DOI:https://doi.org/10.1016/S1441-3523(03)70056-4Google ScholarCross Ref
- [9] Fred D. Davis. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 13, 3 (September 1989), 319. DOI:https://doi.org/10.2307/249008Google ScholarDigital Library
- Irene Esteban-Millat, Francisco J. Martínez-López, Maria Pujol-Jover, Juan Carlos Gázquez-Abad, and Alejandro Alegret. 2018. An extension of the technology acceptance model for online learning environments. Interact. Learn. Environ. 26, 7 (2018), 895–910. DOI:https://doi.org/10.1080/10494820.2017.1421560Google ScholarCross Ref
- Min Gong, Yan Xu, and Yuecheng Yu. 2004. An Enhanced Technology Acceptance Model for Web-Based Learning. J. Inf. Syst. Educ. 15, 4 (2004), 365–374. Retrieved from http://search.proquest.com.ezproxylocal.library.nova.edu/docview/200114529?accountid=6579%5Cnhttp://novacat.nova.edu:4550/resserv?genre=article&issn=10553096&title=Journal+of+Information+Systems+Education&volume=15&issue=4&date=2004-12-01&atitle=An+EnhancGoogle Scholar
- Xingrong Guo, Yiming Guo, and Yunqin Liu. 2021. The development of extended reality in education: Inspiration from the research literature. Sustain. 13, 24 (2021). DOI:https://doi.org/10.3390/su132413776Google Scholar
- Hewlett-Packard. 2022. HP Reverb G2 Version 2. Hewlett-Packard Official. Retrieved from https://www.hp.com/us-en/vr/reverb-g2-vr-headset.htmlGoogle Scholar
- Eun Jung Kim, Jinkyung Jenny Kim, and Sang Ho Han. 2021. Understanding student acceptance of online learning systems in higher education: Application of social psychology theories with consideration of user innovativeness. Sustain. 13, 2 (2021), 1–14. DOI:https://doi.org/10.3390/su13020896Google Scholar
- William R. King and Jun He. 2006. A meta-analysis of the technology acceptance model. Inf. Manag. 43, 6 (2006), 740–755. DOI:https://doi.org/10.1016/j.im.2006.05.003Google ScholarDigital Library
- Murielle G. Kluge, Steven Maltby, Angela Keynes, Eugene Nalivaiko, Darrell J.R. Evans, and Frederick R. Walker. 2022. Current State and General Perceptions of the Use of Extended Reality (XR) Technology at the University of Newcastle: Interviews and Surveys From Staff and Students. SAGE Open 12, 2 (2022). DOI:https://doi.org/10.1177/21582440221093348Google Scholar
- Ann Knabe. 2012. Applying Ajzen's Theor s Theory of Planned Beha y of Planned Behavior to a Study of Online o a Study of Online Course Adoption in Public Relations Education. Marquette University. Retrieved from https://epublications.marquette.edu/cgi/viewcontent.cgi?article=1186&context=dissertations_muGoogle Scholar
- Valentin Kuleto, Ilić P. Milena, Monica Stanescu, Marko Ranković, Nevenka Popović Šević, Dan Păun, and Silvia Teodorescu. 2021. Extended reality in higher education, a responsible innovation approach for generation y and generation z. Sustain. 13, 21 (2021), 1–19. DOI:https://doi.org/10.3390/su132111814Google Scholar
- Chia Chen Lee, Stephen W. Wang, Maxwell K. Hsu, and Shih Ming Jan. 2018. Air passenger's perception toward pre-flight safety briefing videos: Does it matter? J. Air Transp. Manag. 72, July (2018), 20–31. DOI:https://doi.org/10.1016/j.jairtraman.2018.07.004Google ScholarCross Ref
- Junghyo Lee, Junghun Kim, and Jae Young Choi. 2019. The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties. Telemat. Informatics 39, (2019), 37–48. DOI:https://doi.org/10.1016/j.tele.2018.12.006Google ScholarDigital Library
- Wei Lin, Zhaoju Zhu, Bingwei He, Yuqing Liu, Wenyao Hong, and Zhengjian Liao. 2022. A novel virtual reality simulation training system with haptic feedback for improving lateral ventricle puncture skill. Virtual Real. 26, 1 (2022), 399–411. DOI:https://doi.org/10.1007/s10055-021-00578-3Google ScholarDigital Library
- Niu Lung-Guang. 2019. Decision-making determinants of students participating in MOOCs: Merging the theory of planned behavior and self-regulated learning model. Comput. Educ. 134, October 2018 (2019), 50–62. DOI:https://doi.org/10.1016/j.compedu.2019.02.004Google ScholarDigital Library
- Alejandra J. Magana. 2022. The role of frameworks in engineering education research. J. Eng. Educ. 111, 1 (January 2022), 9–13. DOI:https://doi.org/10.1002/JEE.20443Google ScholarCross Ref
- Kerry T. Manis and Danny Choi. 2019. The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware. J. Bus. Res. 100, August 2018 (2019), 503–513. DOI:https://doi.org/10.1016/j.jbusres.2018.10.021Google ScholarCross Ref
- Nikola Marangunić and Andrina Granić. 2015. Technology acceptance model: a literature review from 1986 to 2013. Univers. Access Inf. Soc. 14, 1 (2015), 81–95. DOI:https://doi.org/10.1007/s10209-014-0348-1Google ScholarDigital Library
- Kieran Mathieson. 1991. Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Inf. Syst. Res. 2, 3 (1991), 173–191. DOI:https://doi.org/10.1287/isre.2.3.173Google ScholarDigital Library
- Microsoft. 2022. Mixed Reality Technology for Education. Microsoft US. Retrieved from https://www.microsoft.com/en-us/hololens/industry-educationGoogle Scholar
- Som Naidu. 2017. How flexible is flexible learning, who is to decide and what are its implications? Distance Educ. 38, 3 (September 2017), 269–272. DOI:https://doi.org/10.1080/01587919.2017.1371831Google Scholar
- Siwage Dharma Negara. 2019. Commentary: Indonesia has big plans for education but severely lacks good teachers. Channel News Asia. Retrieved from https://www.channelnewsasia.com/commentary/indonesia-education-quality-teachers-budget-jokowi-schools-1318036Google Scholar
- Jing Yu Pan and Dothang Truong. 2018. Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model. J. Air Transp. Manag. 69, February (2018), 38–48. DOI:https://doi.org/10.1016/j.jairtraman.2018.01.006Google ScholarCross Ref
- Sung Youl Park. 2009. An analysis of the technology acceptance model in understanding University students’ behavioral intention to use e-Learning. Educ. Technol. Soc. 12, 3 (2009), 150–162.Google Scholar
- Adhistya Erna Permanasari, Dian Anggriawan Hidayat, Sunu Wibirama, Intan Sulistyaningrum Sakkinah, and Dayang Rohaya Awang Rambli. 2021. Development of a hospital virtual tour with virtual reality-based panorama. Int. J. Innov. Learn. 30, 2 (2021), 119. DOI:https://doi.org/10.1504/IJIL.2021.117218Google ScholarCross Ref
- Jennifer Dickman Portz, Elizabeth A. Bayliss, Sheana Bull, Rebecca S. Boxer, David B. Bekelman, Kathy Gleason, and Sara Czaja. 2019. Using the technology acceptance model to explore user experience, intent to use, and use behavior of a patient portal among older adults with multiple chronic conditions: Descriptive qualitative study. J. Med. Internet Res. 21, 4 (2019). DOI:https://doi.org/10.2196/11604Google ScholarCross Ref
- Gholamreza Pourmand, Leila Doshmangir, Ayat Ahmadi, Mohammad Noori, Atiyeh Rezaeifar, Rahil Mashhadi, Rezvan Aziminia, Amirhossein Pourmand, and Vladimir S. Gordeev. 2020. An application of the theory of planned behavior to self-care in patients with hypertension. BMC Public Health 20, 1 (2020), 1–8. DOI:https://doi.org/10.1186/s12889-020-09385-yGoogle ScholarCross Ref
- Adhi Prasetio, Grisna Anggadwita, and Rina D. Pasaribu. 2021. Digital Learning Challenge in Indonesia. In IT and the Development of Digital Skills and Competences in Education. 56–71. DOI:https://doi.org/10.4018/978-1-7998-4972-8.ch004Google Scholar
- Camille Sagnier, Emilie Loup-Escande, Domitile Lourdeaux, Indira Thouvenin, and Gérard Valléry. 2020. User Acceptance of Virtual Reality: An Extended Technology Acceptance Model. Int. J. Hum. Comput. Interact. 36, 11 (2020), 993–1007. DOI:https://doi.org/10.1080/10447318.2019.1708612Google ScholarCross Ref
- Ardianto Satriawan, Wildan Trusaji, Muhammad Ogin Hasanuddin, Septia Susanti Rahadini, Mayang Cendikia Selekta, and Ellyana Sungkar. 2022. Design of Virtual Reality-Based Hippotherapy Simulator Exergaming Software and Its Controller for Rehabilitation of Children with Cerebral Palsy in Indonesia: An Engineering Concept. Designs 6, 5 (2022), 76. DOI:https://doi.org/10.3390/designs6050076Google Scholar
- David A. Sprenger and Adrian Schwaninger. 2021. Technology acceptance of four digital learning technologies (classroom response system, classroom chat, e-lectures, and mobile virtual reality) after three months’ usage. Int. J. Educ. Technol. High. Educ. 18, 1 (2021). DOI:https://doi.org/10.1186/s41239-021-00243-4Google ScholarCross Ref
- Yawen Su and Moyan Li. 2021. Applying Technology Acceptance Model in Online Entrepreneurship Education for New Entrepreneurs. Front. Psychol. 12, October (2021), 1–11. DOI:https://doi.org/10.3389/fpsyg.2021.713239Google Scholar
- Nyoman Sri Subawa, Ni Wayan Widhiasthini, I. Putu Astawa, Christantius Dwiatmadja, and Ni Putu Intan Permatasari. 2021. The practices of virtual reality marketing in the tourism sector, a case study of Bali, Indonesia. Curr. Issues Tour. 24, 23 (December 2021), 3284–3295. DOI:https://doi.org/10.1080/13683500.2020.1870940Google ScholarCross Ref
- Zeynep Turan, Sevda Kucuk, and Sinem Cilligol Karabey. 2022. The university students’ self-regulated effort, flexibility and satisfaction in distance education. Int. J. Educ. Technol. High. Educ. 19, 1 (2022). DOI:https://doi.org/10.1186/s41239-022-00342-wGoogle ScholarCross Ref
- UNESCO. 2021. When schools shut: Gendered impacts of COVID-19 school closures. United Nations Educational, Scientific and Cultural Organization, Paris. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000379270Google Scholar
- Venkatesh, Morris, Davis, and Davis. 2003. User Acceptance of Information Technology: Toward a Unified View. MIS Q. 27, 3 (2003), 425. DOI:https://doi.org/10.2307/30036540Google ScholarCross Ref
- Venkatesh, Thong, and Xu. 2012. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Q. 36, 1 (2012), 157. DOI:https://doi.org/10.2307/41410412Google ScholarCross Ref
- Viswanath Venkatesh and Hillol Bala. 2008. Technology Acceptance Model 3 and a Research Agenda on Interventions. Decis. Sci. 39, 2 (May 2008), 273–315. DOI:https://doi.org/10.1111/j.1540-5915.2008.00192.xGoogle ScholarCross Ref
- Viswanath Venkatesh and Fred D. Davis. 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Manage. Sci. 46, 2 (February 2000), 186–204. DOI:https://doi.org/10.1287/mnsc.46.2.186.11926Google Scholar
- Tom Warren. 2019. Google Maps AR walking directions arrive on iOS and Android. The Verge. Retrieved August 10, 2022 from https://www.theverge.com/2019/8/8/20776247/google-maps-live-view-ar-walking-directions-ios-android-featureGoogle Scholar
- Wecka Imam Yudhistyra and Chalita Srinuan. 2022. Sustainable Learning Development Utilizing Extended Reality (XR) Technology for the Indonesian Education Sector. In 40th International Business Information Management Association Conference, IBIMA 2022: Information Systems Management, IBIMA. Retrieved from https://ibima.org/accepted-paper/sustainable-learning-development-utilizing-extended-reality-xr-technology-for-the-indonesian-education-sector-an-exploratory-research-methodology/Google Scholar
- Liqiu Zhou, Sijia Xue, and Ruiqian Li. 2022. Extending the Technology Acceptance Model to Explore Students’ Intention to Use an Online Education Platform at a University in China. SAGE Open 12, 1 (March 2022). DOI:https://doi.org/10.1177/21582440221085259/FORMAT/EPUBGoogle ScholarCross Ref
Index Terms
- Extended Reality Technologies for Sustainable Development of Learning and Education in Indonesia
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