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Extended Reality in Higher Education, a Responsible Innovation Approach for Generation Y and Generation Z

Author

Listed:
  • Valentin Kuleto

    (Information Technology School ITS-Belgrade, LINK Group Belgrade, Faculty of Contemporary Arts Belgrade, University Business Academy in Novi Sad, 11000 Belgrade, Serbia)

  • Milena Ilić P.

    (Information Technology School ITS-Belgrade, LINK Group Belgrade, Faculty of Contemporary Arts Belgrade, University Business Academy in Novi Sad, 11000 Belgrade, Serbia)

  • Monica Stanescu

    (Doctoral School, National University of Physical Education and Sport, 060057 Bucharest, Romania)

  • Marko Ranković

    (Faculty of Information Technology and Engineering, University Union Nikola Tesla, 11080 Belgrade, Serbia)

  • Nevenka Popović Šević

    (Information Technology School ITS-Belgrade, LINK Group Belgrade, Faculty of Contemporary Arts Belgrade, University Business Academy in Novi Sad, 11000 Belgrade, Serbia)

  • Dan Păun

    (Faculty of Physical Education & Sports, Spiru Haret University, 030045 Bucharest, Romania)

  • Silvia Teodorescu

    (Doctoral School, National University of Physical Education and Sport, 060057 Bucharest, Romania)

Abstract

This study aims to provide a comprehensive overview of the XR challenges, opportunities, and future trends that will impact higher educational institutions. The article discusses (using observation, participatory observation and as well as document analysis) the potential for augmented reality to be used in higher education, having in mind characteristics of Millennials (Generation Y) and Post-Millennials (Generation Z) and raises issues about responsible innovation, the future of work, and formal education. Additionally, survey research was completed among students in Serbia and Romania (103 respondents) within selected generations regarding their knowledge of extended reality and their attitudes towards opportunities and challenges of extended reality in Higher Education Institutions, and thus this paper also utilises quantitative analysis. A correlation matrix, composite reliability, and regression model were used to code the data and extract knowledge. A thorough review of the existing literature on one hand and primary research as well, using the chosen scientific methods, the planned purpose of the research will be obtained: to gain a better-understanding of the education needs of Generation Y and Generation Z and the potential use of XR as a response to the needs observed. The results of the quantitative analysis confirmed our starting assumptions: XR is an excellent technology facilitating the teaching processes allowing learners to more actively control their learning strategies and supporting the interactivity and connectivity that students and faculties experience. Furthermore, Generation Z students are more applicative for stating XR’s opportunities (instead of challenges) in higher education institutions.

Suggested Citation

  • Valentin Kuleto & Milena Ilić P. & Monica Stanescu & Marko Ranković & Nevenka Popović Šević & Dan Păun & Silvia Teodorescu, 2021. "Extended Reality in Higher Education, a Responsible Innovation Approach for Generation Y and Generation Z," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11814-:d:665175
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    References listed on IDEAS

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    1. Ferran Calabuig-Moreno & María Huertas González-Serrano & Javier Fombona & Marta García-Tascón, 2020. "The Emergence of Technology in Physical Education: A General Bibliometric Analysis with a Focus on Virtual and Augmented Reality," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    2. Rocsana Bucea-Manea-Țoniş & Radu Bucea-Manea-Țoniş & Violeta Elena Simion & Dragan Ilic & Cezar Braicu & Natalia Manea, 2020. "Sustainability in Higher Education: The Relationship between Work-Life Balance and XR E-Learning Facilities," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    3. Danks, Nicholas P. & Sharma, Pratyush N. & Sarstedt, Marko, 2020. "Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM)," Journal of Business Research, Elsevier, vol. 113(C), pages 13-24.
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    2. Nina Petreska & Jana Prodanova & Ljupco Kocarev, 2023. "Should I Leave My Country? Higher Education Value Shaping Students’ Satisfaction and Brain Drain Intentions in Western Balkans," SAGE Open, , vol. 13(4), pages 21582440231, November.
    3. Kalina Grzesiuk & Dorota Jegorow & Monika Wawer & Anna Głowacz, 2023. "Energy-Efficient City Transportation Solutions in the Context of Energy-Conserving and Mobility Behaviours of Generation Z," Energies, MDPI, vol. 16(15), pages 1-28, August.
    4. Rocsana Bucea-Manea-Țoniş & Valentin Kuleto & Simona Corina Dobre Gudei & Costin Lianu & Cosmin Lianu & Milena P. Ilić & Dan Păun, 2022. "Artificial Intelligence Potential in Higher Education Institutions Enhanced Learning Environment in Romania and Serbia," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    5. Xingrong Guo & Yiming Guo & Yunqin Liu, 2021. "The Development of Extended Reality in Education: Inspiration from the Research Literature," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
    6. Milica Jevremović & Nada Staletić & Gheorghe Orzan & Milena P. Ilić & Zorica Jelić & Cristina Teodora Bălăceanu & Oana Valeria Paraschiv, 2022. "Predicting User Behaviour Based on the Level of Interactivity Implemented in Blockchain Technologies in Websites and Used Devices," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    7. Nayef Shaie Alotaibi & Awad Hajran Alshehri, 2023. "Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    8. Monika Wawer & Kalina Grzesiuk & Dorota Jegorow, 2022. "Smart Mobility in a Smart City in the Context of Generation Z Sustainability, Use of ICT, and Participation," Energies, MDPI, vol. 15(13), pages 1-30, June.

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