International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 13, Issue 7 (July 2026), Pages: 126-135

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 Review Paper

Effectiveness of virtual reality and simulation-based STEM instruction in developing students’ soft skills: Evidence from a meta-analysis

 Author(s): 

Gulnara Rizakhojayeva 1, 2, Makpal Nurizinova 3, *, Sherzod Ramankulov 4, Naci Genc 5, Shakhnoza Abdurakhmanova 4

 Affiliation(s):

1Foreign Language Teaching Department, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan
2Scientific-Research Center, International University of Tourism and Hospitality, Turkestan, Kazakhstan
3Department of Physics and Technology, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, Kazakhstan
4Department of Physics, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakhstan
5Department of Electrical and Electronics Engineering, Yalova University, Yalova, Turkey

 Full text

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 * Corresponding Author. 

   Corresponding author's ORCID profile:  https://orcid.org/0000-0001-8319-4928

 Digital Object Identifier (DOI)

 
https://doi.org/10.21833/ijaas.2026.07.012

 Abstract

This study aims to evaluate the effectiveness of virtual reality (VR)- and simulation-based STEM instruction in developing students’ soft skills through a systematic review and meta-analysis. The study was conducted in accordance with the PRISMA guidelines and employed a meta-analytic approach. Empirical studies published between 2015 and 2025 were identified from the Scopus, Web of Science, ERIC, and Google Scholar databases, and their quantitative data were analyzed using Comprehensive Meta-Analysis (CMA) software. The results indicate that VR- and simulation-based STEM instruction has a statistically significant, medium-to-high effect on the development of students’ soft skills. In particular, virtual laboratories and problem-based simulation activities show a strong positive effect on communication, teamwork, and critical thinking skills. These findings support the use of VR and simulation technologies as evidence-based pedagogical tools for enhancing students’ soft skills in STEM education and contribute to the advancement of digital STEM learning environments and curriculum innovation.

 © 2026 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

Virtual reality, Simulation-based learning, STEM education, Soft skills, Meta-analysis

 Article history

Received 4 February 2026, Received in revised form 3 July 2026, Accepted 19 July 2026

 Acknowledgment

This research was supported by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan under Grant No. BR28713097

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

Rizakhojayeva G, Nurizinova M, Ramankulov S, Genc N, and Abdurakhmanova S (2026). Effectiveness of virtual reality and simulation-based STEM instruction in developing students’ soft skills: Evidence from a meta-analysis. International Journal of Advanced and Applied Sciences, 13(7): 126-135

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 References (41)

  1. Adefila A, Graham S, Clouder L, Bluteau P, and Ball S (2016). myShoes – The future of experiential dementia training? The Journal of Mental Health Training, Education and Practice, 11(2): 91-101. https://doi.org/10.1108/JMHTEP-10-2015-0048   [Google Scholar]
  2. Agbo FJ, Olaleye SA, Bower M, and Oyelere SS (2023). Examining the relationships between students’ perceptions of technology, pedagogy, and cognition: The case of immersive virtual reality mini games to foster computational thinking in higher education. Smart Learning Environments, 10: 16. https://doi.org/10.1186/s40561-023-00233-1   [Google Scholar] PMid:40477863 PMCid:PMC9947881
  3. Animashaun ES, Familoni BT, and Onyebuchi NC (2024). The role of virtual reality in enhancing educational outcomes across disciplines. International Journal of Applied Research in Social Sciences, 6(6): 1169-1177. https://doi.org/10.51594/ijarss.v6i6.1178   [Google Scholar]
  4. Begg CB and Mazumdar M (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4): 1088-1101. https://doi.org/10.2307/2533446   [Google Scholar] PMid:7786990
  5. Budnarowski D, Jereczek D, Detka K, and Wieczorek I (2025). Application of artificial intelligence and virtual reality in soft skills training with modeled personality. Applied Sciences, 15(16): 9067. https://doi.org/10.3390/app15169067   [Google Scholar]
  6. Cabrera-Duffaut A, Pinto-Llorente AM, and Iglesias-Rodríguez A (2024). Immersive learning platforms: Analyzing virtual reality contribution to competence development in higher education—A systematic literature review. Frontiers in Education, 9: 1391560. https://doi.org/10.3389/feduc.2024.1391560   [Google Scholar]
  7. Chasokela D (2025). Investigating the role of virtual reality to support student’ engagement, spatial awareness and problem-solving skills in engineering education. International Journal of Instruction, 18(3): 613-636. https://doi.org/10.29333/iji.2025.18332a   [Google Scholar]
  8. Chiang YC and Liu SC (2023). The Effects of Extended Reality Technologies in STEM Education on Students' Learning Response and Performance. Journal of Baltic Science Education, 22(4): 568-578. https://doi.org/10.33225/jbse/23.22.568   [Google Scholar]
  9. Cohen J (2013). Statistical power analysis for the behavioral sciences. 2nd Edition, Routledge, New York, USA. https://doi.org/10.4324/9780203771587   [Google Scholar]
  10. Dell’Aquila E, Vallone F, Zurlo MC, and Marocco D (2022). SG-ACCORD: Designing virtual agents for soft skills training in the school context. Education Sciences, 12(3): 174. https://doi.org/10.3390/educsci12030174   [Google Scholar]
  11. Dossymov Y, Ramankulov S, Genc N, Coruh A, Nurizinova M, and Zhaksylyk N (2026). Integrating renewable energy based on science, technology, engineering and mathematics projects in promoting sustainable environmental solutions. Global Journal of Environmental Science and Management, 12(2): 583-602.   [Google Scholar]
  12. Duval S and Tweedie R (2000). Trim and fill: A simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56(2): 455-463. https://doi.org/10.1111/j.0006-341X.2000.00455.x   [Google Scholar] PMid:10877304 PMCid:PMC7556468 
  13. Egger M, Smith GD, Schneider M, and Minder C (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315: 629. https://doi.org/10.1136/bmj.315.7109.629   [Google Scholar] PMid:9310563
  14. Elme L, Jørgensen ML, Dandanell G, Mottelson A, and Makransky G (2022). Immersive virtual reality in STEM: Is IVR an effective learning medium and does adding self-explanation after a lesson improve learning outcomes? Educational Technology Research and Development, 70: 1601-1626. https://doi.org/10.1007/s11423-022-10139-3   [Google Scholar] PMid:35873274 PMCid:PMC9294811
  15. Formosa NJ, Morrison BW, Hill G, and Stone D (2018). Testing the efficacy of a virtual reality‐based simulation in enhancing users’ knowledge, attitudes, and empathy relating to psychosis. Australian Journal of Psychology, 70(1): 57-65. https://doi.org/10.1111/ajpy.12167   [Google Scholar]
  16. Fugate JM, Tonsager MJ, and Macrine SL (2025). Immersive extended reality (I-XR) in medical and nursing for skill competency and knowledge acquisition: A systematic review and implications for pedagogical practices. Behavioral Sciences, 15(4): 468. https://doi.org/10.3390/bs15040468   [Google Scholar] PMid:40282089 PMCid:PMC12024058
  17. Geriş A (2024). The EVRIM framework: Guiding ethical and inclusive virtual reality integration in education. Manisa Celal Bayar Üniversitesi Eğitim Fakültesi Dergisi, 12(2): 567-583. https://doi.org/10.52826/mcbuefd.1511454   [Google Scholar]
  18. Hamilton-Giachritsis C, Banakou D, Garcia Quiroga M, Giachritsis C, and Slater M (2018). Reducing risk and improving maternal perspective-taking and empathy using virtual embodiment. Scientific Reports, 8: 2975. https://doi.org/10.1038/s41598-018-21036-2   [Google Scholar] PMid:29445183 PMCid:PMC5813089
  19. Hassan ZB and Abu Bakar EB (2025). Industrial training as a medium for strengthening human soft skills among students of Port Dickson Polytechnic, Malaysia. International Journal of Research and Innovation in Social Science, 9(5): 619–629. https://doi.org/10.47772/IJRISS.2025.90500051   [Google Scholar]
  20. Hmoud M, Daher W, and Ayyoub A (2025). From experience to engagement: A mixed methods exploration of learning environments using artificial intelligence and extended reality. Frontiers in Education, 10: 1617132. https://doi.org/10.3389/feduc.2025.1617132   [Google Scholar]
  21. Holik I, Sanda ID, and Molnár G (2023). The necessity of developing soft skills in STEM areas in higher education, with special focus on engineering training. Athens Journal of Technology and Engineering, 10(4): 199-214. https://doi.org/10.30958/ajte.10-4-1   [Google Scholar]
  22. Kumar R and Priya A (2025). The impact of virtual reality on modern education: Enhancing engagement, accessibility, and experiential learning. International Journal for Research in Applied Science & Engineering Technology, 13(5): 6524–6532. https://doi.org/10.22214/ijraset.2025.71603   [Google Scholar]
  23. Kurbanbekov B, Ramankulov S, Nurizinova M, and Asanbek B (2025). Impact of VR technology in physics teaching on students’ knowledge: A study on body acceleration. International Journal of Evaluation and Research in Education, 14(6): 5038-5053. https://doi.org/10.11591/ijere.v14i6.34942   [Google Scholar]
  24. Lamiani G, Mistraletti G, Moreschi C, Andrighi E, and Vegni E (2021). Cultivating empathy and soft skills among intensive care residents: Effects of a mandatory, simulation-based, experiential training. Annals of Transplantation, 26: e931147. https://doi.org/10.12659/AOT.931147   [Google Scholar] PMid:34385409 PMCid:PMC8369950
  25. Lavi R, Tal M, and Dori YJ (2021). Perceptions of STEM alumni and students on developing 21st century skills through methods of teaching and learning. Studies in Educational Evaluation, 70: 101002. https://doi.org/10.1016/j.stueduc.2021.101002   [Google Scholar]
  26. Lebert A and Vilarroya Ó (2025). Prior text-based learning enhances the benefits of simulation-based learning on confidence and long-term recall. NPJ Science of Learning, 10: 93. https://doi.org/10.1038/s41539-025-00380-9   [Google Scholar] PMid:41285845 PMCid:PMC12748732
  27. Makransky G and Petersen GB (2023). The theory of immersive collaborative learning (TICOL). Educational Psychology Review, 35: 103. https://doi.org/10.1007/s10648-023-09822-5   [Google Scholar]
  28. Mikkonen K, Liaw SY, Spirgienė L, Subočius A, Ignatavičius P, Blažauskas T, and Riklikienė O (2025). Multidimensional pedagogical framework for interprofessional education: Blending classroom, high fidelity and extended reality simulation. Nurse Education Today, 154: 106838. https://doi.org/10.1016/j.nedt.2025.106838   [Google Scholar] PMid:40773797
  29. Molek-Winiarska D and Kawka T (2024). Reducing work-related stress through soft-skills training intervention in the mining industry. Human Factors, 66(5): 1633-1649. https://doi.org/10.1177/00187208221139020   [Google Scholar] PMid:36373772 PMCid:PMC10943617
  30. Mørk G, Bonsaksen T, Larsen OS, Kunnikoff HM, and Lie SS (2024). Virtual reality simulation in undergraduate health care education programs: Usability study. JMIR Medical Education, 10: e56844. https://doi.org/10.2196/56844   [Google Scholar] PMid:39560982 PMCid:PMC11615562
  31. Muzata AR, Singh G, Stepanov MS, and Musonda I (2024). Immersive learning: A systematic literature review on transforming engineering education through virtual reality. Virtual Worlds, 3(4): 480-505. https://doi.org/10.3390/virtualworlds3040026   [Google Scholar]
  32. Norambuena N, Ortega J, Muñoz-La Rivera F, Covarrubias M, Valín Rivera JL, Ramírez E, and Ketterer CIG (2025). Integrating digital twins of engineering labs into multi-user virtual reality environments. Applied Sciences, 15(7): 3819. https://doi.org/10.3390/app15073819   [Google Scholar]
  33. Osei Tutu D, Habibiabad S, Van den Noortgate W, Saldien J, and Bombeke K (2025). When action speaks louder than words: Exploring non-verbal and paraverbal features in dyadic collaborative VR. Sensors, 25(17): 5498. https://doi.org/10.3390/s25175498   [Google Scholar] PMid:40942927 PMCid:PMC12430992
  34. Owolabi JO, Gardner K, Agboola R, Yesudas RR, and Shaw JH (2025). Use of simulation for teaching biomedical sciences to undergraduate medical students-a scoping review. BMC Medical Education, 25: 1259. https://doi.org/10.1186/s12909-025-07819-y   [Google Scholar] PMid:40999457 PMCid:PMC12465261
  35. Radzi SHBM, Ying TY, Abidin MZZ, and Ahmad PA (2020). The effectiveness of board game towards soft skills development for higher education. Ilkogretim Online – Elementary Education Online, 19(2): 94–106.   [Google Scholar]
  36. Rizakhojayeva G, Ramankulov S, Akeshova M, Nurizinova M, Tuyakov Y, and Abdrakhmanov R (2025). STEM-based approaches to soft skills development: A synthesis of meta-analytic findings and empirical evidence. Frontiers in Education, 10: 1663155. https://doi.org/10.3389/feduc.2025.1663155   [Google Scholar]
  37. Rosenthal R (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3): 638-641. https://doi.org/10.1037/0033-2909.86.3.638   [Google Scholar]
  38. Singh A, Ferry D, Ramakrishnan A, and Balasubramanian S (2020). Using virtual reality in biomedical engineering education. Journal of Biomechanical Engineering, 142(11): 111013. https://doi.org/10.1115/1.4048005   [Google Scholar] PMid:32747925 PMCid:PMC7580657
  39. Sviridova E, Yastrebova E, Bakirova G, and Rebrina F (2023). Immersive technologies as an innovative tool to increase academic success and motivation in higher education. Frontiers in Education, 8: 1192760. https://doi.org/10.3389/feduc.2023.1192760   [Google Scholar]
  40. Tene T, Marcatoma Tixi JA, Palacios Robalino MD, Mendoza Salazar MJ, Vacacela Gomez C, and Bellucci S (2024). Integrating immersive technologies with STEM education: A systematic review. Frontiers in Education, 9: 1410163. https://doi.org/10.3389/feduc.2024.1410163   [Google Scholar]
  41. Yang C, Zhang J, Hu Y, Yang X, Chen M, Shan M, and Li L (2024). The impact of virtual reality on practical skills for students in science and engineering education: A meta-analysis. International Journal of STEM Education, 11: 28. https://doi.org/10.1186/s40594-024-00487-2   [Google Scholar]