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ZENODO
Article . 2000
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2000
License: CC BY
Data sources: Datacite
ZENODO
Article . 2000
License: CC BY
Data sources: Datacite
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Virtual Reality Training Programmes in Agricultural Extension: A Systematic Review in Southern India Context

Authors: Abdulla, Wael Mahmoud; El-Sayed, Ahmed; Abdel-Wahab, Nasr; Hassan, Amir Ahmed;

Virtual Reality Training Programmes in Agricultural Extension: A Systematic Review in Southern India Context

Abstract

Virtual Reality (VR) has emerged as a tool for enhancing agricultural extension education in various contexts. A comprehensive search strategy was employed across multiple databases to identify relevant studies. Studies were selected based on predefined criteria including publication year, language, and relevance to VR-based agricultural extension education. The review identified a significant proportion (75%) of AEAs reported higher learning outcomes from VR training compared to traditional methods, with an average improvement in knowledge retention by 30%. VR training programmes show promise for enhancing the efficacy of agricultural extension education but require further empirical validation and community engagement studies. Future research should focus on scalability, cost-effectiveness, and long-term impact assessments to ensure sustainable adoption and effectiveness in diverse Indian contexts. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.

Keywords

Contextual Analysis, Technology Acceptance Model, Virtual Reality, User Experience Design, Training Programmes, Southern India, Agricultural Extension

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average