The Role of Virtual Reality in Enhancing Skill-Based Training Programs
DOI:
https://doi.org/10.63876/ijtm.v3i2.133Keywords:
Hybrid modelling, Multi-scale problems, Engineering simulation, Numerical methods, Multiscale coupling, Computational efficiencyAbstract
Virtual Reality (VR) technology has emerged as a promising tool to revolutionize skill-based training programs by providing immersive and interactive learning environments. This study explores the impact of VR on enhancing training effectiveness within Vietnam’s workforce development initiatives. Through a mixed-methods approach combining quantitative performance data and qualitative feedback from 300 trainees across manufacturing, healthcare, and vocational education sectors, the research evaluates VR’s role in improving skill acquisition, learner engagement, and retention compared to traditional training methods. The findings indicate that VR-based training significantly increases post-training proficiency scores by an average of 25%, while reducing the time required to achieve competency by approximately 30%. In manufacturing, VR simulations enable trainees to safely practice assembly line operations and error management, resulting in fewer workplace mistakes. In healthcare, VR modules focused on surgical and procedural training improve procedural confidence and adherence to clinical protocols. User surveys reveal high satisfaction levels, particularly appreciating the realistic, risk-free practice environment. However, challenges such as high initial investment costs, limited localized VR content, and technical infrastructure gaps—especially in rural areas—limit widespread adoption. Addressing these barriers requires targeted strategies including content localization, government support, and infrastructure development. This study underscores VR’s potential to enhance skill-based training effectiveness and accelerate workforce readiness in emerging economies like Vietnam. It provides critical insights for policymakers, educators, and industry leaders aiming to integrate advanced technologies into training programs to meet evolving labor market demands.
Downloads
References
K. V. B. Murthy, A. Kalsie, and R. Shankar, “Digital economy in a global perspective: is there a digital divide?,” Transnatl. Corp. Rev., vol. 13, no. 1, pp. 1–15, Mar. 2021, doi: https://doi.org/10.1080/19186444.2020.1871257.
C. L. Luo, H. X. Duan, Y. L. Wang, H. J. Liu, and S. X. Xu, “Complementarity and competitive trade-offs enhance forage productivity, nutritive balance, land and water use, and economics in legume-grass intercropping,” F. Crop. Res., vol. 319, p. 109642, Dec. 2024, doi: https://doi.org/10.1016/j.fcr.2024.109642.
Q. Lv et al., “Managing interspecific competition to enhance productivity through selection of soybean varieties and sowing dates in a cotton-soybean intercropping system,” F. Crop. Res., vol. 316, p. 109513, Aug. 2024, doi: https://doi.org/10.1016/j.fcr.2024.109513.
E. Estrellado, P. Charoensilp, and S. Yamada, “The effects of game-based soft skills training: A quasi-experiment with Ethiopian garment workers,” Int. J. Educ. Dev., vol. 101, p. 102823, Sep. 2023, doi: https://doi.org/10.1016/j.ijedudev.2023.102823.
J. Chen, I. Steinmann, and J. Braeken, “Competing explanations for inconsistent responding to a mixed-worded self-esteem scale: Cognitive abilities or personality?,” Pers. Individ. Dif., vol. 222, p. 112573, May 2024, doi: https://doi.org/10.1016/j.paid.2024.112573.
J.-H. Kim, M. Kim, M. Park, and J. Yoo, “Immersive interactive technologies and virtual shopping experiences: Differences in consumer perceptions between augmented reality (AR) and virtual reality (VR),” Telemat. Informatics, vol. 77, p. 101936, Feb. 2023, doi: https://doi.org/10.1016/j.tele.2022.101936.
K. T. Manis and D. Choi, “The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware,” J. Bus. Res., vol. 100, pp. 503–513, Jul. 2019, doi: https://doi.org/10.1016/j.jbusres.2018.10.021.
J.-Q. Guan, S.-F. Ying, M.-L. Zhang, and G.-J. Hwang, “From experience to empathy: An empathetic VR-based learning approach to improving EFL learners’ empathy and writing performance,” Comput. Educ., vol. 220, p. 105120, Oct. 2024, doi: https://doi.org/10.1016/j.compedu.2024.105120.
C. Andújar et al., “A highly-configurable session designer for VR nursing training,” Heliyon, vol. 10, no. 22, p. e39692, Nov. 2024, doi: https://doi.org/10.1016/j.heliyon.2024.e39692.
K.-H. Tai, J.-C. Hong, C.-R. Tsai, C.-Z. Lin, and Y.-H. Hung, “Virtual reality for car-detailing skill development: Learning outcomes of procedural accuracy and performance quality predicted by VR self-efficacy, VR using anxiety, VR learning interest and flow experience,” Comput. Educ., vol. 182, p. 104458, Jun. 2022, doi: https://doi.org/10.1016/j.compedu.2022.104458.
T. T. Vo and T.-H. Truong, “Gender division of household workforce in Vietnam: Role of international trade and fertility,” Econ. Anal. Policy, vol. 80, pp. 1696–1718, Dec. 2023, doi: https://doi.org/10.1016/j.eap.2023.10.029.
P. T. A. Huynh and T. T. Bui, “Household-level demographic and socio-economic vulnerability in the face of the COVID-19 pandemic in rural Central Vietnam,” Res. Glob., vol. 8, p. 100186, Jun. 2024, doi: https://doi.org/10.1016/j.resglo.2023.100186.
J.-C. Hong, H.-Y. Chan, Y.-H. Teng, K.-H. Tai, and C.-Z. Lin, “VR training program for fire escape: Learning progress predicted by the perception of fire presence, VR operational frustration, and gameplay self-efficacy,” Comput. Educ. X Real., vol. 3, p. 100029, Dec. 2023, doi: https://doi.org/10.1016/j.cexr.2023.100029.
X. Gong et al., “Exploring an interdisciplinary approach to sustainable economic development in resource-rich regions: An investigation of resource productivity, technological innovation, and ecosystem resilience,” Resour. Policy, vol. 87, p. 104294, Dec. 2023, doi: https://doi.org/10.1016/j.resourpol.2023.104294.
L. Vogelsang et al., “Exploring the use of immersive virtual reality in nursing education: A scoping review,” Clin. Simul. Nurs., vol. 97, p. 101648, Dec. 2024, doi: https://doi.org/10.1016/j.ecns.2024.101648.
A. Kostyk, K. Cowan, L. Dessart, and M. Schyns, “Memories of tourism brands in virtual reality,” Ann. Tour. Res., vol. 109, p. 103824, Nov. 2024, doi: https://doi.org/10.1016/j.annals.2024.103824.
M. Ullah, M. Umair, K. Sohag, O. Mariev, M. A. Khan, and H. M. Sohail, “The connection between disaggregate energy use and export sophistication: New insights from OECD with robust panel estimations,” Energy, vol. 306, p. 132282, Oct. 2024, doi: https://doi.org/10.1016/j.energy.2024.132282.
N. H. Ly, T. M. Aminabhavi, Y. Vasseghian, and S.-W. Joo, “Advanced protein nanobiosensors to in-situ detect hazardous material in the environment,” J. Environ. Manage., vol. 366, p. 121727, Aug. 2024, doi: https://doi.org/10.1016/j.jenvman.2024.121727.
R. Hussain et al., “Conversational AI-based VR system to improve construction safety training of migrant workers,” Autom. Constr., vol. 160, p. 105315, Apr. 2024, doi: https://doi.org/10.1016/j.autcon.2024.105315.
M. Reinhold et al., “Learning effectiveness of clinical anatomy and practical spine surgery skills using a new VR-based training platform,” Brain and Spine, vol. 4, p. 102826, 2024, doi: https://doi.org/10.1016/j.bas.2024.102826.
Z. Zhou, C. Fu, and R. Weibel, “SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps,” Int. J. Appl. Earth Obs. Geoinf., vol. 135, p. 104236, Dec. 2024, doi: https://doi.org/10.1016/j.jag.2024.104236.
K. Onodera, D. Kumazawa, Y. Mizuno, T. Nomura, K. Satomi, and K. Yamashita, “Individualized right anterior oblique view for reproducible left bundle branch area pacing procedures for each patient,” Hear. Case Reports, vol. 10, no. 11, pp. 825–829, Nov. 2024, doi: https://doi.org/10.1016/j.hrcr.2024.08.005.
Z. Dong, F. Tan, W. Zhou, B. Wang, and Y. Liu, “Distributed formation control of underactuated UMVs based on nonlinear model prediction algorithm with obstacle avoidance strategy incorporating relative velocity constraints,” Ocean Eng., vol. 312, p. 119272, Nov. 2024, doi: https://doi.org/10.1016/j.oceaneng.2024.119272.
H.-P. Balzerkiewitz and C. Stechert, “How to Assess the Usability of Virtual Reality (VR) systems for Implementation in Product Development Processes,” Procedia CIRP, vol. 128, pp. 460–465, 2024, doi: https://doi.org/10.1016/j.procir.2024.03.027.
