Research Article
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Year 2025, Volume: 10 Issue: 2, 109 - 121, 02.07.2025
https://doi.org/10.53850/joltida.1521626

Abstract

References

  • Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7, e7702. https://doi.org/10.7717/peerj.7702
  • Albanese, M. A., & Mitchell, S. (1993). Problem-based learning: A review of literature on its outcomes and implementation issues. Academic Medicine, 68(1), 52–81.
  • Alt, D., & Raichel, N. J. (2022). Problem-based learning, self-and peer assessment in higher education: Towards advancing lifelong learning skills. Research Papers in Education, 37(3), 370–394. https://doi.org/10.1080/02671522.2020.1849371
  • Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning: An approach to medical education. Springer Publishing Company.
  • Binark, M., & Karataş, Ş. (2015). Digital generations: How to study digital generations? In TBD 32. National Informatics Congress (Ankara). https://www.academia.edu/19706219/Dijital_Ku%C5%9Faklar_Dijital_Ku%C5%9Faklar%C4%B1_Nas%C4%B1l_%C3%87al%C4%B1%C5%9Fmal%C4%B1
  • Bing, E. G., Brown, M. L., Cuevas, A., Sullivan, R., & Parham, G. P. (2021). User experience with low-cost virtual reality cancer surgery simulation in an African setting. JCO Global Oncology, 7(1), 435–442. https://doi.org/10.1200/GO.20.00510
  • Boulos, M. N. K., Hetherington, L., & Wheeler, S. (2007). Second Life: An overview of the potential of 3‐D virtual worlds in medical and health education. Health Information and Libraries Journal, 24(4), 233–245. https://doi.org/10.1111/j.1471-1842.2007.00733.x
  • Bracq, M. S., Michinov, E., & Jannin, P. (2019). Virtual reality simulation in nontechnical skills training for healthcare professionals: a systematic review. Simulation in Healthcare, 14(3), 188-194.https://doi.org/ 10.1097/SIH.0000000000000347
  • Broytman, D., Rosenberg, E., & Fewer, M. V. A. (2025). Expanding opportunities in ophthalmic surgical training. MetaMed Media. https://www.metamedmedia.com/
  • Chachar, T. S., Yousif, N., Sulaibikh, L., Abdulqader, F., Alqahtani, M., Yousuf, N., & Abdulqader Sr, F. (2021). First Report of Acute Myocarditis Post-Pfizer-BioNTech COVID-19 Vaccination in the Kingdom of Bahrain. Cureus, 13(12).https://doi.org/ 10.7759/cureus.20313
  • Cook, D. A., & Dupras, D. M. (2004). A practical guide to developing effective web-based learning. Journal of General Internal Medicine, 19(6), 698–707. https://doi.org/10.1111/j.1525-1497.2004.30029.x
  • Curran, V. R., Xu, X., & Meruvia-Pastor, O. (2023). Use of extended reality in medical education: An integrative review. Medical Science Educator, 33(1), 1–13. https://doi.org/10.1007/s40670-022-01698-4
  • Dede, C. (2005). Planning for neomillennial learning styles: Implications for investments in technology and faculty. In Educating the Net Generation (pp. 226–247). London: Lippincott Williams.
  • Dyer, E., Swartzlander, B. J., & Gugliucci, M. R. (2018). Using virtual reality in medical education to teach empathy. Journal of the Medical Library Association: JMLA, 106(4), 498.https://doi.org/ 10.5195/jmla.2018.518
  • Elsayed, M., Kadom, N., Ghobadi, C., Strauss, B., Al Dandan, O., Aggarwal, A., et al. (2020). Virtual and augmented reality: Potential applications in radiology. Acta Radiologica, 61(9), 1258–1265.https://doi.org/10.1177/0284185119897362
  • Garrison, D. R., & Anderson, T. (2003). E-learning in the 21st century: A framework for research and practice. Routledge.
  • Gencer, G., & Gencer, K. (2024). A comparative analysis of ChatGPT and medical faculty graduates in medical specialization exams: Uncovering the potential of artificial intelligence in medical education. Cureus, 16(8). https://doi.org/ 10.7759/cureus.66517
  • Gencer, G., & Gencer, K. (2025). Large language models in healthcare: A bibliometric analysis and examination of research trends. Journal of Multidisciplinary Healthcare, 223–238.https://doi.org/10.2147/JMDH.S502351
  • Hrastinski, S. (2008). Asynchronous and synchronous e-learning. Educause Quarterly, 31(4), 51–55. https://doi.org/10.1136/bmj.a683
  • Kapil, Y., & Roy, A. (2014). A critical evaluation of generation Z at workplaces. International Journal of Social Relevance & Concern, 2(1), 10–14.
  • Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: Possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18. http://doi.org/10.3352/jeehp.2021.18.32
  • Leong, J. J., Kinross, J., Taylor, D., & Purkayastha, S. (2008). Surgeons have held conferences in Second Life. BMJ, 337.
  • López-Ojeda, W., & Hurley, R. A. (2021). Extended-reality technologies: An overview of emerging applications in medical education and clinical care. The Journal of Neuropsychiatry and Clinical Neurosciences, 33(3), 191–198. https://doi.org/10.1176/appi.neuropsych.21030067
  • Mantovani, F. (2003). VR learning: Potential and challenges for the use of 3D environments in education and training. In CyberPsychology: Mind, Cognitions and Society in the Internet Age (pp. 207–225). London: Lippincott Williams.
  • McGregor, D. B., Arcomano, T. R., Bjerke, H. S., & Little, A. G. (1995). Problem orientation is a new approach to surgical education. The American Journal of Surgery, 170(6), 656–659.https://doi.org/10.1016/S0002-9610(99)80036-1
  • Montemayor, C., Halpern, J., & Fairweather, A. (2022). In principle obstacles for empathic AI: Why we can’t replace human empathy in healthcare. AI & Society, 37(4), 1353–1359.https://doi.org/10.1007/s00146-021-01230-z
  • Moro, C., Štromberga, Z., Raikos, A., & Stirling, A. (2017). The effectiveness of virtual and augmented reality in health sciences and medical anatomy. Anatomical Sciences Education, 10(6), 549–559. https://doi.org/10.1002/ase.1696
  • Morrison, J. (2004). Where now for problem based learning? The Lancet, 363(9403), 174. https://doi.org/10.1016/S0140-6736(03)15298-1
  • Mylavarapu, P., Gupta, N. E., Gudi, V., Mylavarapu, A., Daniels, L. B., & Patel, M. (2020). Diversity within the most competitive internal medicine fellowships: Examining trends from 2008 to 2018. Journal of General Internal Medicine, 35, 2537–2544. https://doi.org/10.1007/s11606-020-06008-5
  • Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486–497. https://doi.org/10.3390/encyclopedia2010031 Norman, G. R., & Schmidt, H. G. (1992). The psychological basis of problem-based learning: A review of the evidence. Academic Medicine, 67(9), 557–565.
  • Onu, P., Pradhan, A., & Mbohwa, C. (2024). Potential to use metaverse for future teaching and learning. Education and Information Technologies, 29(7), 8893-8924. https://doi.org/10.1007/s10639-023-12167-9
  • Özkan, M., & Solmaz, B. (2015). The changing face of the employees—Generation Z and their perceptions of work (A study applied to university students). Procedia Economics and Finance, 26, 476–483. https://doi.org/10.1016/S2212-5671(15)00876-X
  • Patel, J., PBLP. (2023). Problem-based learning. http://rds.sem-ums.ac.ir/edc/downloads/problem-based-learning
  • Peckmann, C., Kannen, K., Pensel, M. C., Lux, S., Philipsen, A., & Braun, N. (2022). Virtual reality induces symptoms of depersonalization and derealization: A longitudinal randomized control trial. Computers in Human Behavior, 131, 107233. https://doi.org/10.1016/j.chb.2022.107233
  • Pieczynski, J., Kuklo, P., & Grzybowski, A. (2021). The role of telemedicine, in-home testing and artificial intelligence to alleviate an increasingly burdened healthcare system: Diabetic retinopathy. Ophthalmology and Therapy, 10(3), 445–464. https://doi.org/10.1007/s40123-021-00353-2
  • Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6. NCB University Press. 122 2025, Journal of Learning and Teaching in Digital Age, 10(2), 109-121
  • Ramirez, R. N., & Franklin, C. C. (2019). Racial diversity in orthopedic surgery. Orthopedic Clinics, 50(3), 337–344. https://doi.org/10.1016/j.ocl.2019.03.010
  • Rodgers, D., Ahmed, R. A., & Misra, A. (2023). Artificial intelligence in healthcare simulation: Hype or hope. International Journal of Healthcare Simulation. https://doi.org/10.54531/CAPM8773
  • Schmidt, H. G., & Moust, J. H. C. (2000). Factors affecting small-group tutorial learning: A review of research. In G. R. Norman & H. G. Schmidt (Eds.), Academic medicine (pp. 708–722). Philadelphia: Lippincott Williams.
  • Twenge, J. M., Campbell, S. M., Hoffman, B. J., & Lance, C. E. (2010). Generational differences in work values: Leisure and extrinsic values increasing, social and intrinsic values decreasing. Journal of Management, 36(5), 1117–1142.https://doi.org/10.1177/0149206309352246
  • Wibhowo, C., & Sanjaya, R. (2021). Virtual assistant to suicide prevention in individuals with borderline personality disorder. In 2021 International Conference on Computer & Information Sciences (ICCOINS) (pp. 219–224). IEEE. https://doi.org/10.1109/ICCOINS49721.2021.9497160.

Problem-based Learning in the Metaverse Environment: Evaluation of Virtual Reality Applications in Medical Education

Year 2025, Volume: 10 Issue: 2, 109 - 121, 02.07.2025
https://doi.org/10.53850/joltida.1521626

Abstract

The metaverse is defined as an inevitable evolution of the internet and holds great potential as a new medium for social interaction. Its integration into educational environments has been increasingly recommended. This study aimed to explore a technology-supported solution for the challenges experienced in the problem-based learning (PBL) process used in medical faculties, taking into account the characteristics of the current digitally native generation. Twelve medical students who had previously received face-to-face PBL training participated in the study. They were asked to evaluate both virtual and face-to-face PBL sessions in terms of the educational facilitator, physical infrastructure, educational process, and scenario. Descriptive statistics, the Wilcoxon signed-rank test, and the Mann–Whitney U test were used to compare the groups. All participants reported higher satisfaction with virtual PBL across all sub-dimensions. The overall score comparison revealed a statistically significant difference in favor of virtual PBL (p < 0.05). A significant difference was also found among female participants (p < 0.05), whereas no significant difference was observed among male participants (p > 0.05). Gender-based comparisons showed no statistically significant difference in satisfaction (p > 0.05). In conclusion, virtual PBL sessions can effectively enhance medical students' clinical reasoning, problem-solving, and communication skills while providing a flexible and engaging learning environment with high levels of satisfaction.

References

  • Ahuja, A. S. (2019). The impact of artificial intelligence in medicine on the future role of the physician. PeerJ, 7, e7702. https://doi.org/10.7717/peerj.7702
  • Albanese, M. A., & Mitchell, S. (1993). Problem-based learning: A review of literature on its outcomes and implementation issues. Academic Medicine, 68(1), 52–81.
  • Alt, D., & Raichel, N. J. (2022). Problem-based learning, self-and peer assessment in higher education: Towards advancing lifelong learning skills. Research Papers in Education, 37(3), 370–394. https://doi.org/10.1080/02671522.2020.1849371
  • Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning: An approach to medical education. Springer Publishing Company.
  • Binark, M., & Karataş, Ş. (2015). Digital generations: How to study digital generations? In TBD 32. National Informatics Congress (Ankara). https://www.academia.edu/19706219/Dijital_Ku%C5%9Faklar_Dijital_Ku%C5%9Faklar%C4%B1_Nas%C4%B1l_%C3%87al%C4%B1%C5%9Fmal%C4%B1
  • Bing, E. G., Brown, M. L., Cuevas, A., Sullivan, R., & Parham, G. P. (2021). User experience with low-cost virtual reality cancer surgery simulation in an African setting. JCO Global Oncology, 7(1), 435–442. https://doi.org/10.1200/GO.20.00510
  • Boulos, M. N. K., Hetherington, L., & Wheeler, S. (2007). Second Life: An overview of the potential of 3‐D virtual worlds in medical and health education. Health Information and Libraries Journal, 24(4), 233–245. https://doi.org/10.1111/j.1471-1842.2007.00733.x
  • Bracq, M. S., Michinov, E., & Jannin, P. (2019). Virtual reality simulation in nontechnical skills training for healthcare professionals: a systematic review. Simulation in Healthcare, 14(3), 188-194.https://doi.org/ 10.1097/SIH.0000000000000347
  • Broytman, D., Rosenberg, E., & Fewer, M. V. A. (2025). Expanding opportunities in ophthalmic surgical training. MetaMed Media. https://www.metamedmedia.com/
  • Chachar, T. S., Yousif, N., Sulaibikh, L., Abdulqader, F., Alqahtani, M., Yousuf, N., & Abdulqader Sr, F. (2021). First Report of Acute Myocarditis Post-Pfizer-BioNTech COVID-19 Vaccination in the Kingdom of Bahrain. Cureus, 13(12).https://doi.org/ 10.7759/cureus.20313
  • Cook, D. A., & Dupras, D. M. (2004). A practical guide to developing effective web-based learning. Journal of General Internal Medicine, 19(6), 698–707. https://doi.org/10.1111/j.1525-1497.2004.30029.x
  • Curran, V. R., Xu, X., & Meruvia-Pastor, O. (2023). Use of extended reality in medical education: An integrative review. Medical Science Educator, 33(1), 1–13. https://doi.org/10.1007/s40670-022-01698-4
  • Dede, C. (2005). Planning for neomillennial learning styles: Implications for investments in technology and faculty. In Educating the Net Generation (pp. 226–247). London: Lippincott Williams.
  • Dyer, E., Swartzlander, B. J., & Gugliucci, M. R. (2018). Using virtual reality in medical education to teach empathy. Journal of the Medical Library Association: JMLA, 106(4), 498.https://doi.org/ 10.5195/jmla.2018.518
  • Elsayed, M., Kadom, N., Ghobadi, C., Strauss, B., Al Dandan, O., Aggarwal, A., et al. (2020). Virtual and augmented reality: Potential applications in radiology. Acta Radiologica, 61(9), 1258–1265.https://doi.org/10.1177/0284185119897362
  • Garrison, D. R., & Anderson, T. (2003). E-learning in the 21st century: A framework for research and practice. Routledge.
  • Gencer, G., & Gencer, K. (2024). A comparative analysis of ChatGPT and medical faculty graduates in medical specialization exams: Uncovering the potential of artificial intelligence in medical education. Cureus, 16(8). https://doi.org/ 10.7759/cureus.66517
  • Gencer, G., & Gencer, K. (2025). Large language models in healthcare: A bibliometric analysis and examination of research trends. Journal of Multidisciplinary Healthcare, 223–238.https://doi.org/10.2147/JMDH.S502351
  • Hrastinski, S. (2008). Asynchronous and synchronous e-learning. Educause Quarterly, 31(4), 51–55. https://doi.org/10.1136/bmj.a683
  • Kapil, Y., & Roy, A. (2014). A critical evaluation of generation Z at workplaces. International Journal of Social Relevance & Concern, 2(1), 10–14.
  • Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: Possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18. http://doi.org/10.3352/jeehp.2021.18.32
  • Leong, J. J., Kinross, J., Taylor, D., & Purkayastha, S. (2008). Surgeons have held conferences in Second Life. BMJ, 337.
  • López-Ojeda, W., & Hurley, R. A. (2021). Extended-reality technologies: An overview of emerging applications in medical education and clinical care. The Journal of Neuropsychiatry and Clinical Neurosciences, 33(3), 191–198. https://doi.org/10.1176/appi.neuropsych.21030067
  • Mantovani, F. (2003). VR learning: Potential and challenges for the use of 3D environments in education and training. In CyberPsychology: Mind, Cognitions and Society in the Internet Age (pp. 207–225). London: Lippincott Williams.
  • McGregor, D. B., Arcomano, T. R., Bjerke, H. S., & Little, A. G. (1995). Problem orientation is a new approach to surgical education. The American Journal of Surgery, 170(6), 656–659.https://doi.org/10.1016/S0002-9610(99)80036-1
  • Montemayor, C., Halpern, J., & Fairweather, A. (2022). In principle obstacles for empathic AI: Why we can’t replace human empathy in healthcare. AI & Society, 37(4), 1353–1359.https://doi.org/10.1007/s00146-021-01230-z
  • Moro, C., Štromberga, Z., Raikos, A., & Stirling, A. (2017). The effectiveness of virtual and augmented reality in health sciences and medical anatomy. Anatomical Sciences Education, 10(6), 549–559. https://doi.org/10.1002/ase.1696
  • Morrison, J. (2004). Where now for problem based learning? The Lancet, 363(9403), 174. https://doi.org/10.1016/S0140-6736(03)15298-1
  • Mylavarapu, P., Gupta, N. E., Gudi, V., Mylavarapu, A., Daniels, L. B., & Patel, M. (2020). Diversity within the most competitive internal medicine fellowships: Examining trends from 2008 to 2018. Journal of General Internal Medicine, 35, 2537–2544. https://doi.org/10.1007/s11606-020-06008-5
  • Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486–497. https://doi.org/10.3390/encyclopedia2010031 Norman, G. R., & Schmidt, H. G. (1992). The psychological basis of problem-based learning: A review of the evidence. Academic Medicine, 67(9), 557–565.
  • Onu, P., Pradhan, A., & Mbohwa, C. (2024). Potential to use metaverse for future teaching and learning. Education and Information Technologies, 29(7), 8893-8924. https://doi.org/10.1007/s10639-023-12167-9
  • Özkan, M., & Solmaz, B. (2015). The changing face of the employees—Generation Z and their perceptions of work (A study applied to university students). Procedia Economics and Finance, 26, 476–483. https://doi.org/10.1016/S2212-5671(15)00876-X
  • Patel, J., PBLP. (2023). Problem-based learning. http://rds.sem-ums.ac.ir/edc/downloads/problem-based-learning
  • Peckmann, C., Kannen, K., Pensel, M. C., Lux, S., Philipsen, A., & Braun, N. (2022). Virtual reality induces symptoms of depersonalization and derealization: A longitudinal randomized control trial. Computers in Human Behavior, 131, 107233. https://doi.org/10.1016/j.chb.2022.107233
  • Pieczynski, J., Kuklo, P., & Grzybowski, A. (2021). The role of telemedicine, in-home testing and artificial intelligence to alleviate an increasingly burdened healthcare system: Diabetic retinopathy. Ophthalmology and Therapy, 10(3), 445–464. https://doi.org/10.1007/s40123-021-00353-2
  • Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6. NCB University Press. 122 2025, Journal of Learning and Teaching in Digital Age, 10(2), 109-121
  • Ramirez, R. N., & Franklin, C. C. (2019). Racial diversity in orthopedic surgery. Orthopedic Clinics, 50(3), 337–344. https://doi.org/10.1016/j.ocl.2019.03.010
  • Rodgers, D., Ahmed, R. A., & Misra, A. (2023). Artificial intelligence in healthcare simulation: Hype or hope. International Journal of Healthcare Simulation. https://doi.org/10.54531/CAPM8773
  • Schmidt, H. G., & Moust, J. H. C. (2000). Factors affecting small-group tutorial learning: A review of research. In G. R. Norman & H. G. Schmidt (Eds.), Academic medicine (pp. 708–722). Philadelphia: Lippincott Williams.
  • Twenge, J. M., Campbell, S. M., Hoffman, B. J., & Lance, C. E. (2010). Generational differences in work values: Leisure and extrinsic values increasing, social and intrinsic values decreasing. Journal of Management, 36(5), 1117–1142.https://doi.org/10.1177/0149206309352246
  • Wibhowo, C., & Sanjaya, R. (2021). Virtual assistant to suicide prevention in individuals with borderline personality disorder. In 2021 International Conference on Computer & Information Sciences (ICCOINS) (pp. 219–224). IEEE. https://doi.org/10.1109/ICCOINS49721.2021.9497160.
There are 41 citations in total.

Details

Primary Language English
Subjects Artificial Reality
Journal Section Research Article
Authors

Gülcan Gencer 0000-0002-3543-041X

Nazlı Şensoy 0000-0001-7449-7513

Kerem Gencer 0000-0002-2914-1056

Publication Date July 2, 2025
Submission Date July 24, 2024
Acceptance Date May 2, 2025
Published in Issue Year 2025 Volume: 10 Issue: 2

Cite

APA Gencer, G., Şensoy, N., & Gencer, K. (2025). Problem-based Learning in the Metaverse Environment: Evaluation of Virtual Reality Applications in Medical Education. Journal of Learning and Teaching in Digital Age, 10(2), 109-121. https://doi.org/10.53850/joltida.1521626

Journal of Learning and Teaching in Digital Age 2023. This is an Open Access journal distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 19195

Journal of Learning and Teaching in Digital Age. Open Access Journal, 2023. ISSN:2458-8350