
Effects of Immersive Technologies and an Innovative Pedagogy on Elementary Education Standardized Testing, Curriculum Delivery, Student and Teacher Engagement: A Pilot Study
DOI:
https://doi.org/10.30564/jiep.v9i1.11991Abstract
Underperformance in Science, Technology, Engineering, and Mathematics (STEM) education in the United States is a persistent problem, with disparities most pronounced among women and certain minorities. Standardized testing remains the primary proficiency measure, yet traditional remedial curricula have produced limited gains. Prior research suggests that technology-enhanced, gamification-infused lessons within an innovative pedagogical framework may be more effective. This fifth-grade, observational, single-site, prospective, mixed-methods pilot feasibility study examined a teacher intervention that converted Florida's fifth-grade remedial STEM curriculum into a technology- and gamification-based pedagogy combining music videos, validated video games, drone and surgical simulation, competition-based learning, rewards, and tiered mentoring. The pedagogy, termed Stealth Learning (SL), combines multiple technology-assisted approaches within a single lesson plan and incorporates cross-industry learning (applications drawn from surgery) to transfer STEM-relevant skills. The study assessed whether the conversion was feasible, executable with high teacher satisfaction, and associated with improved Florida Comprehensive Assessment Test (FCAT) performance. At a Title I Florida school (98% minority enrollment), the 11 lowest-performing remedial fifth-graders enrolled non-randomly and voluntarily, completing eight two-hour after-school sessions over eight weeks; 61 peers received standard preparation. The SL pass rate was 55% (6/11) versus 26% (16/61); mean Nature of Science (NOS) scores were similar (5.63 vs. 5.59), but regression indicated SL participants reached the passing threshold at a lower NOS score (6.91 vs. 7.97). All teachers and the principal endorsed the program; attendance was 100%. Given the small, single-site, self-selected, non-randomized sample, these findings are promising but exploratory and require confirmation through larger, controlled studies.
Keywords:
Curriculum Innovation and Teaching; Assessment and Evaluation; Educational Practice; Educational TechnologyReferences
[1] Irwin, V., Wang, K., Jung, J., et al., 2024. Condition of Education 2024. U.S. Department of Education, National Center for Education Statistics: Washington, DC, USA. Available from: https://nces.ed.gov/use-work/resource-library/report/compendium/condition-education-2024
[2] National Center for Science and Engineering Statistics (NCSES), 2023. Elementary and Secondary STEM Education. Available from: https://ncses.nsf.gov/pubs/nsb202331 (cited 3 February 2026).
[3] National Center for Science and Engineering Statistics (NCSES), 2022. U.S. and Global STEM Education and Labor Force. Available from: https://ncses.nsf.gov/pubs/nsb20221/u-s-and-global-stem-education-and-labor-force (cited 3 February 2026).
[4] Oliss, B., McFaul, C., Riddick, J.C., 2023. The global distribution of STEM graduates: Which countries lead the way? Available from: https://cset.georgetown.edu/article/the-global-distribution-of-stem-graduates-which-countries-lead-the-way/ (cited 3 February 2026).
[5] Gillespie, A., 2021. What do the data say about the current state of K–12 STEM education in the US? Available from: https://www.nsf.gov/science-matters/what-do-data-say-about-current-state-k-12-stem-education-us (cited 3 February 2026).
[6] World Economic Forum, 2024. Global Gender Gap Report 2024. World Economic Forum: Geneva, Switzerland.
[7] National Center for Science and Engineering Statistics (NCSES), 2023. Diversity and STEM: Women, Minorities, and Persons with Disabilities 2023. NCSES: Alexandria, VA, USA. Available from: https://www.nsf.gov/reports/statistics/diversity-stem-women-minorities-persons-disabilities-2023
[8] National Center for Science and Engineering Statistics (NCSES), 2024. The STEM Labor Force: Scientists, Engineers, and Skilled Technical Workers. Available from: https://ncses.nsf.gov/pubs/nsb20245 (cited 3 February 2026).
[9] The Journal of Blacks in Higher Education (JBHE), 2023. African Americans making progress in STEM fields, but a large racial gap remains. Available from: https://jbhe.com/2023/02/african-americans-making-progress-in-stem-fields-but-a-large-racial-gap-remains/ (cited 3 February 2026).
[10] Organisation for Economic Co-operation and Development (OECD), 2023. PISA 2022 Results (Volume I): The State of Learning and Equity in Education. OECD Publishing: Paris, France. DOI: https://doi.org/10.1787/53f23881-en
[11] Canché, M.S.G., Zheng, K., Song, Y., et al., 2025. Standardized testing for diverse talent identification: A framework to address geographical bias in standardized testing and increase diversity in college admissions in the post-affirmative action/race-neutral admissions era. Research in Higher Education. 66, 13. DOI: https://doi.org/10.1007/s11162-024-09824-4
[12] Lai, Y., 2023. The double effects of standardized testing on students and environment. Journal of Education, Humanities and Social Sciences. 8, 1615–1620. DOI: https://doi.org/10.54097/ehss.v8i.4533
[13] Reeves, R.V., Halikias, D., 2017. Race gaps in SAT scores highlight inequality and hinder upward mobility. Available from: https://www.brookings.edu/articles/race-gaps-in-sat-scores-highlight-inequality-and-hinder-upward-mobility/ (cited 3 February 2026).
[14] Arias, O., Canals, C., Mizala, A., et al., 2023. Gender gaps in mathematics and language: The bias of competitive achievement tests. PLoS ONE. 18(3), e0283384. DOI: https://doi.org/10.1371/journal.pone.0283384
[15] Smith, B., Reeves, R.V., 2025. Boys, girls, and grades: Examining GPA and SAT trends. Available from: https://aibm.org/research/boys-girls-and-grades-examining-gpa-and-sat-trends/ (cited 3 February 2026).
[16] Verbree, A.R., Hornstra, L., Maas, L., et al., 2022. Conscientiousness as a predictor of the gender gap in academic achievement. Research in Higher Education. 64, 451–472. DOI: https://doi.org/10.1007/s11162-022-09716-5
[17] Pozo-Rico, T., Scott, R., Bąk, M., et al., 2024. Riding the wave towards flourishing in STEM education: Enhancing teaching efficacy through a K–12 training program. Teaching and Teacher Education. 143, 104564. DOI: https://doi.org/10.1016/j.tate.2024.104564
[18] Nedungadi, P., Thushara, M.G., Veena, G., et al., 2026. Emerging technologies for STEM education: Global evidence on learning, equity, and SDG4. Humanities and Social Sciences Communications. 13(1), 522. DOI: https://doi.org/10.1057/s41599-026-06565-w
[19] Goos, M., Carreira, S., Namukasa, I.K., 2023. Mathematics and interdisciplinary STEM education: Recent developments and future directions. ZDM Mathematics Education. 55, 1199–1217. DOI: https://doi.org/10.1007/s11858-023-01533-z
[20] Dwivedi, Y.K., Hughes, L., Baabdullah, A.M., et al., 2022. Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management. 66, 102542. DOI: https://doi.org/10.1016/j.ijinfomgt.2022.102542
[21] Wang, N., Tan, A.L., Zhou, X., et al., 2023. Gender differences in high school students' interest in STEM careers: A multi-group comparison based on structural equation model. International Journal of STEM Education. 10, 59. DOI: https://doi.org/10.1186/s40594-023-00443-6
[22] Nedungadi, P., Lathabai, H.H., Raman, R., 2025. Large language models in biomedicine and health: A holistic evaluation of the effectiveness, reliability and ethics using altmetrics. Journal of Scientometric Research. 14(1), 46–61. DOI: https://doi.org/10.5530/jscires.20251166
[23] Parvathy, R., Thushara, M.G., Kannimoola, J.M., 2025. Automated code assessment and feedback: A comprehensive model for improved programming education. IEEE Access. 13, 56642–56658. DOI: https://doi.org/10.1109/ACCESS.2025.3554838
[24] Tarrés-Puertas, M.I., Merino, J., Vives-Pons, J., et al., 2022. Sparking the interest of girls in computer science via chemical experimentation and robotics: The Qui-Bot H₂O case study. Sensors. 22(10), 3719. DOI: https://doi.org/10.3390/s22103719
[25] Keller, L., John, I., 2020. Motivating female students for computer science by means of robot workshops. International Journal of Engineering Pedagogy. 10(1), 94–108. DOI: https://doi.org/10.3991/ijep.v10i1.11661
[26] Raman, R., Ustenko, V., Filho, W.L., et al., 2025. Energy justice and gender: Bridging equity, access, and policy for sustainable development. Discover Sustainability. 6, 558. DOI: https://doi.org/10.1007/s43621-025-01375-7
[27] Yu, W., He, J., Luo, J., et al., 2024. Interventions for gender equality in STEM education: A meta-analysis. Journal of Computer Assisted Learning. 40(6), 2558–2573. DOI: https://doi.org/10.1111/jcal.12928
[28] Leal Filho, W., Kovaleva, M., Tsani, S., et al., 2023. Promoting gender equality across the sustainable development goals. Environment, Development and Sustainability. 25, 14177–14198. DOI: https://doi.org/10.1007/s10668-022-02656-1
[29] Ludwig, C.M., Howsmon, R.A., Stromholt, S., et al., 2024. Consequential insights for advancing informal STEM learning and outcomes for students from historically marginalized communities. Humanities and Social Sciences Communications. 11, 351. DOI: https://doi.org/10.1057/s41599-024-02797-w
[30] Parada-Contzen, M., Jara, F., 2025. Gender wage gap among the educated: Evidence from fields of study in Chile. Humanities and Social Sciences Communications. 12, 961. DOI: https://doi.org/10.1057/s41599-025-05312-x
[31] Wu, T., Zhang, S.H., 2023. Applications and implication of generative AI in non-STEM disciplines in higher education. In: Zhao, F., Miao, D. (Eds.). AI-Generated Content (AIGC 2023). Springer: Singapore. pp. 341–349. DOI: https://doi.org/10.1007/978-981-99-7587-7_29
[32] Fong, A.C., Gupta, A.K., Carr, S.M., et al., 2022. A balanced pedagogical approach toward AI readiness education for STEM learners: Instilling a balanced view of AI capabilities through active learning in both traditional classroom and self-directed online environments. In Proceedings of the 2022 6th International Conference on Education and E-Learning, Yamanashi, Japan, 21–23 November 2022; pp. 260–266. DOI: https://doi.org/10.1145/3578837.3578875
[33] Chandrika, K.R., Amudha, J., 2025. Learner stimulus intent: A framework for eye tracking data collection and feature extraction in computer programming education. Scientific Reports. 15, 11860. DOI: https://doi.org/10.1038/s41598-025-88172-4
[34] Chiang, T., 2021. Estimating the artificial intelligence learning efficiency for civil engineer education: A case study in Taiwan. Sustainability. 13(21), 11910. DOI: https://doi.org/10.3390/su132111910
[35] Yu, C.C., Wu, Y., 2021. Early warning system for online STEM learning—A slimmer approach using recurrent neural networks. Sustainability. 13(22), 12461. DOI: https://doi.org/10.3390/su132212461
[36] Terzieva, V., Ivanova, M., Djambazova, E., et al., 2025. The Role of Internet of Things and Security Aspects in STEM Education. Information. 16(7), 533. DOI: https://doi.org/10.3390/info16070533
[37] Ghashim, I.A., Arshad, M., 2023. Internet of Things (IoT)-based teaching and learning: Modern trends and open challenges. Sustainability. 15(21), 15656. DOI: https://doi.org/10.3390/su152115656
[38] Tsipianitis, D., Misirli, A., Lavidas, K., et al., 2025. IoT devices and their impact on learning: A systematic review of technological and educational affordances. IoT. 6(3), 45. DOI: https://doi.org/10.3390/iot6030045
[39] Holly, M., Pirker, J., Resch, S., et al., 2021. Designing VR experiences—Expectations for teaching and learning in VR. Educational Technology and Society. 24(2), 107–119.
[40] Kaviyaraj, R., Uma, M., 2022. Augmented reality application in classroom: An immersive taxonomy. In Proceedings of the 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 20–22 January 2022; pp. 1221–1226. DOI: https://doi.org/10.1109/ICSSIT53264.2022.9716325
[41] Nagpal, N., Rahmawati, Y., Mardiah, A., 2024. Integrating Augmented Reality (AR) and Virtual Reality (VR) in Transformation of Teaching and Learning Pedagogy in Education 4.0. In: Pandey, R., Srivastava, N., Chatterjee, P. (Eds.). Architecture and Technological Advancements of Education 4.0. IGI Global Scientific Publishing: Hershey, PA, USA. pp. 199–228. DOI: https://doi.org/10.4018/978-1-6684-9285-7.ch009
[42] Raman, R., Mandal, S., Das, P., et al., 2024. Exploring university students’ adoption of ChatGPT using the diffusion of innovation theory and sentiment analysis with gender dimension. Human Behavior and Emerging Technologies. 2024(1), 3085910. DOI: https://doi.org/10.1155/2024/3085910
[43] Dæhlen, A., Heldal, I., Katona, J., 2023. Towards developing an immersive virtual reality application for supporting vision screening—A user study. Journal of Applied Technical and Educational Sciences. 12(4), 330. DOI: https://doi.org/10.24368/jates330
[44] Chen, X., Cheng, G., Zou, D., et al., 2023. Artificial intelligent robots for precision education: A topic modelling-based bibliometric analysis. Educational Technology and Society. 26(1), 171–186.
[45] Alam, A., 2022. Educational robotics and computer programming in early childhood education: A conceptual framework for assessing elementary school students’ computational thinking for designing powerful educational scenarios. In Proceedings of the 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), Villupuram, India, 25–26 March 2022; pp. 1–7. DOI: https://doi.org/10.1109/ICSTSN53084.2022.9761354
[46] Quadros, J., Sahid, Matheus, et al., 2026. RoboDIL: A robotic tool to aid the pedagogy of students with dyslexia. World Journal of Information Systems. 3(2), 59–72. DOI: https://doi.org/10.17013/wjis.v3i2.61
[47] Ouyang, F., Xu, W., 2024. The effects of educational robotics in STEM education: A multilevel meta-analysis. International Journal of STEM Education. 11, 7. DOI: https://doi.org/10.1186/s40594-024-00469-4
[48] Rahman, S.M.M., 2024. Digital K–12 STEM education through human–robot interaction: Investigation on prerequisites. Digital. 4(2), 461–482. DOI: https://doi.org/10.3390/digital4020023
[49] Trapero-González, I., Hinojo-Lucena, F.J., Romero-Rodríguez, J.M., et al., 2024. Didactic impact of educational robotics on the development of STEM competence in primary education: A systematic review and meta-analysis. Frontiers in Education. 9, 1480908. DOI: https://doi.org/10.3389/feduc.2024.1480908
[50] Kolil, V.K., Achuthan, K., 2024. Virtual labs in chemistry education: A novel approach for increasing student’s laboratory educational consciousness and skills. Education and Information Technologies. 29(18), 25307–25331. DOI: https://doi.org/10.1007/s10639-024-12858-x
[51] Diwakar, S., Kolil, V.K., Francis, S.P., et al., 2023. Intrinsic and extrinsic motivation among students for laboratory courses: Assessing the impact of virtual laboratories. Computers & Education. 198, 104758. DOI: https://doi.org/10.1016/j.compedu.2023.104758
[52] Raman, R., Achuthan, K., Nair, V.K., et al., 2022. Virtual laboratories: A historical review and bibliometric analysis of the past three decades. Education and Information Technologies. 27(8), 11055–11087. DOI: https://doi.org/10.1007/s10639-022-11058-9
[53] Petrović, V.M., Kovačević, B.D., 2022. AViLab—Gamified virtual educational tool for introduction to agent theory fundamentals. Electronics. 11(3), 344. DOI: https://doi.org/10.3390/electronics11030344
[54] Frøland, T.H., Heldal, I., Braseth, T.A., et al., 2022. Digital game-based support for learning the phlebotomy procedure in the biomedical laboratory scientist education. Computers. 11(5), 59. DOI: https://doi.org/10.3390/computers11050059
[55] van Eijck, T., Bredeweg, B., Holt, J., et al., 2025. Combining hands-on and minds-on learning with interactive diagrams in primary science education. International Journal of Science Education. 47(18), 2413–2433. DOI: https://doi.org/10.1080/09500693.2024.2387225
[56] Florida Department of Education, 2025. Florida School Accountability Reports. Available from: https://www.fldoe.org/accountability/accountability-reporting/school-grades/ (cited 3 February 2026).
[57] Florida Department of Education, n.d. FCAT Historical. Available from: https://www.fldoe.org/accountability/assessments/k-12-student-assessment/archive/fcat/ (cited 3 February 2026).
[58] Florida Department of Education, 2012. Statewide Science Assessment. Available from: https://www.fldoe.org/accountability/assessments/k-12-student-assessment/science.stml (cited 3 February 2026).
[59] U.S. Department of Health and Human Services, 2018. PART 46—Protection of Human Subjects, 45 C.F.R. § 46.104(d)(1). Available from: https://www.ecfr.gov/current/title-45/subtitle-A/subchapter-A/part-46 (cited 3 February 2026).
[60] Rosser, J.B., 2009. Playin' to Win: A Surgeon, Scientist and Parent Examines the Upside of Video Games. Morgan James Publishing: Garden City, NY, USA.
[61] Amusement Vision, 2001. Super Monkey Ball. Sega: Tokyo, Japan.
[62] Teeny Drones, n.d. Teeny Drones™ TD001-B Micro Drone with Full Size Remote Limited Edition Case Pack—Black-Open Box. Available from: https://www.shopperplus.ca/p-352642-td001-b-open-box-teeny-drones-td001-b-micro-drone-with-full-size-remote-limited-edition-case-pack-black-open-box#sku358007 (cited 3 February 2026).
[63] RealFlight, n.d. The #1 RC Flight Simulator in the World! Available from: https://www.horizonhobby.com/realflight/ (cited 3 February 2026).
[64] Zanto, T.P., Giannakopoulou, A., Gallen, C.L., et al., 2024. Digital rhythm training improves reading fluency in children. Developmental Science. 27(3), e13473. DOI: https://doi.org/10.1111/desc.13473
[65] Yakoub-Agha, L., Soqia, J., Nahas, L., et al., 2026. Effects of five-minutes music intervention on college students' memory. Scientific Reports. 16, 2541. DOI: https://doi.org/10.1038/s41598-025-32240-2
[66] Fiveash, A., Ferreri, L., Bouwer, F.L., et al., 2023. Can rhythm-mediated reward boost learning, memory, and social connection? Perspectives for future research. Neuroscience & Biobehavioral Reviews. 149, 105153. DOI: https://doi.org/10.1016/j.neubiorev.2023.105153
[67] Zaatar, M.T., Alhakim, K., Enayeh, M., et al., 2023. The transformative power of music: Insights into neuroplasticity, health, and disease. Brain, Behavior, and Immunity – Health. 35, 100716. DOI: https://doi.org/10.1016/j.bbih.2023.100716
[68] Teng, M.F., 2023. The effectiveness of multimedia input on vocabulary learning and retention. Innovation in Language Learning and Teaching. 17(3), 738–754. DOI: https://doi.org/10.1080/17501229.2022.2131791
[69] Colasante, M., 2022. Not drowning, waving: The role of video in a renewed digital learning world. Australasian Journal of Educational Technology. 38(4), 176–189. DOI: https://doi.org/10.14742/ajet.7915
[70] Morgado, M., Botelho, J., Machado, V., et al., 2024. Video-based approaches in health education: A systematic review and meta-analysis. Scientific Reports. 14, 23651. DOI: https://doi.org/10.1038/s41598-024-73671-7
[71] Mayer, R.E., 2009. Multimedia Learning, 2nd ed. Cambridge University Press: Cambridge, UK. Available from: https://assets.cambridge.org/97805217/35353/frontmatter/9780521735353_frontmatter.pdf
[72] Su, J., Ye, J., Nie, L., et al., 2023. Optimizing spaced repetition schedule by capturing the dynamics of memory. IEEE Transactions on Knowledge and Data Engineering. 35(10), 10085–10097. DOI: https://doi.org/10.1109/TKDE.2023.3251721
[73] Rosser, J.C., Colsant, B.J., Lynch, P.J., et al., 2006. The use of a “hybrid” trainer in an established laparoscopic skills program. Journal of the Society of Laparoendoscopic Surgeons. 10(1), 4–10. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC3015682/
[74] Rosser, J.C., Lynch, P.J., Cuddihy, L., et al., 2007. The impact of video games on training surgeons in the 21st century. Archives of Surgery. 142(2), 181–186. DOI: https://doi.org/10.1001/archsurg.142.2.181
[75] Rosser, J.C., Gentile, D.A., Hanigan, K., et al., 2012. The effect of video game “warm-up” on performance of laparoscopic surgery tasks. Journal of the Society of Laparoendoscopic Surgeons. 16(1), 3–9. DOI: https://doi.org/10.4293/108680812X13291597715664
[76] Rosser, J.C., Liu, X., Jacobs, C., et al., 2017. Impact of Super Monkey Ball and Underground video games on basic and advanced laparoscopic skill training. Surgical Endoscopy. 31(4), 1544–1549. DOI: https://doi.org/10.1007/s00464-016-5059-7
[77] Chen, F.Z., Chen, L.A., Tseng, C.C., et al., 2025. Enhancing student engagement and learning outcomes in life sciences: Implementing interactive learning environments and flipped classroom models. Discover Education. 4, 102. DOI: https://doi.org/10.1007/s44217-025-00501-x
[78] Saif, A., Umar, I.N., Ghazal, S., et al., 2024. The problem-based learning revolution: A systematic review exploring its effect on student achievement and self-regulated learning. In: Saeed, F., Mohammed, F., Fazea, Y. (Eds.). Advances in Intelligent Computing Techniques and Applications. Springer: Cham, Switzerland. pp. 196–205. DOI: https://doi.org/10.1007/978-3-031-59711-4_18
[79] Wilson, L.B., DiStefano, C., Wang, H., et al., 2024. Comparison of multiple-choice question formats in a first year medical physiology course. Journal of CME. 13(1), 2390264. DOI: https://doi.org/10.1080/28338073.2024.2390264
[80] Eldakhakhny, B., Elsamanoudy, A.Z., 2023. Discrimination power of short essay questions versus multiple choice questions as an assessment tool in clinical biochemistry. Cureus. 15(2), e35427. DOI: https://doi.org/10.7759/cureus.35427
[81] Berry, J., Kim, H.B., Son, H.H., 2022. When student incentives do not work: Evidence from a field experiment in Malawi. Journal of Development Economics. 158, 102893. DOI: https://doi.org/10.1016/j.jdeveco.2022.102893
[82] Ruggiero, N., L’Huillier, J.C., Marine, N., et al., 2023. Perceptions of competition-based learning after a brief experience at a national surgical meeting. Surgical Innovation. 30(6), 720–727. DOI: https://doi.org/10.1177/15533506231207438
[83] Gehreke, L., Schilling, H., Kauffeld, S., 2024. Effectiveness of peer mentoring in the study entry phase: A systematic review. Review of Education. 12(1), e3462. DOI: https://doi.org/10.1002/rev3.3462
[84] Amanova, C., Wright, P.M., Brynteson, K., 2025. From camps to careers: Analyzing the impact of summer STEM camps on students' career choices. Journal of Pedagogical Research. 9(5), 159–179. DOI: https://doi.org/10.33902/JPR.202536728
[85] Eliyahu-Levi, D., 2024. Beyond magic: Fostering literacy resilience in diverse classrooms through home-based approaches. Behavioral Sciences. 14(9), 834. DOI: https://doi.org/10.3390/bs14090834
[86] Browning, B.D., Glover, J.S., Meredith, L.R., et al., 2025. A three-tiered mentorship approach for supporting high school students interested in science, technology, engineering, and mathematics (STEM) careers. Journal of Clinical and Translational Science. 9(1), e54. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC12018214/
[87] Mentoring in Medicine Inc., n.d. Our Results. Available from: https://medicalmentor.org/our-results/ (cited 3 February 2026).
[88] Rosser, J.C., Rosser, L.E., Savalgi, R.S., 1997. Skill acquisition and assessment for laparoscopic surgery. Archives of Surgery. 132(2), 200–204. DOI: https://doi.org/10.1001/archsurg.1997.01430260098021
[89] Rosser, J.C., Rosser, L.E., Savalgi, R.S., 1998. Objective evaluation of a laparoscopic surgical skill program for residents and senior surgeons. Archives of Surgery. 133(6), 657–661. DOI: https://doi.org/10.1001/archsurg.133.6.657
[90] Rosser, J.C., Murayama, M., Gabriel, N.H., 2000. Minimally invasive surgical training solutions for the twenty-first century. Surgical Clinics of North America. 80(5), 1607–1624. DOI: https://doi.org/10.1016/S0039-6109(05)70248-6
Downloads
How to Cite
Issue
Article Type
License
Copyright © 2026 James Clarence Rosser, Julio Cesar Arango Lamboy, Farrah Mawani Lamboy, Eric Young, Lillian Shen, Hamilton Jeong

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.




James Clarence Rosser