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Extended Reality in Agricultural Education

A Framework for Implementation

Bibliographic Data

ID22043566
AuthorsDaniël Haarhoff Naudé (University of the Free State, corresponding author), Benjamin S Botha (0000-0002-3769-4507, University of the Free State), Lizemari Hugo (0000-0003-1923-9081, University of the Free State), Han Jordaan (0000-0003-4845-1727, University of the Free State), W A Lombard (0000-0002-7999-3855, University of the Free State)
Year2024
Volume14
Issue12
Pages1309
Publication date2024-11-29
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci14121309
OpenAlexW4404860256
LanguageEN
Citations received1
References cited42

Agriculture 4.0 technologies have the potential to revolutionise both agricultural production and the way we educate the next generation of agricultural scientists. As many students enrolling in agricultural science education lack an agricultural background, it is difficult for them to grasp complex agricultural principles in an educational setting. Students without experience are thus at a disadvantage compared to others with prior knowledge. Technologies such as extended reality (XR) can be used as a tool to bridge the gap between theory and practice. With its ability to replicate real-world agricultural production principles within a classroom, XR can provide students with the necessary agricultural experience required within the industry. However, existing literature lacks comprehensive frameworks to guide educators on the implementation of this technology, which could lead to unsuccessful implementation. To ensure the successful implementation of XR in agricultural science education in higher education settings and to bridge the theory-practice gap, this article used the best-fit synthesis to develop a comprehensive framework from the existing literature. This framework can guide educators on the implementation of XR in higher education settings. The findings suggest that agriculture determinants, curriculum development, and facilitating conditions are three important concepts to consider for successful implementation. This XR-AgriEdu framework can be used by educators in agricultural science education to successfully implement XR

Agricultural education · Agriculture · Geography · Knowledge management · Mathematics education · Multimedia · Augmented Reality Applications · Computer Science · Educational Games and Gamification · Psychology · Virtual Reality Applications and Impacts

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    Open Access•Richard J Torraco•Human Resource Development Review•2016

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    Open Access•Marcela Tavares De Souza, Michelly Dias da Silva et al.•Einstein (São Paulo)•2010

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    Viswanath Venkatesh, Venkatesh Venkatesh et al.•MIS Quarterly•2003

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    Open Access•Lorelli Nowell, Jill M Norris et al.•International Journal of…•2017

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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