Virtual Laboratories in STEM Higher Education: A Scoping Review
Open accessAbstract
Synthetic learning environments like virtual laboratories are increasingly used in pedagogical practice across the landscape of higher education, in both professional and non-professional study programs. Virtual laboratories are simulations of experiments or other hands-on activities that allow students to explore scientific concepts and principles in a virtual environment. These simulations can be used to supplement or replace traditional laboratory experiences on campus, providing students with a flexible and convenient way to learn and engage with the laboratory as a context for work. The conceptual and theoretical foundations of these simulations, however, are still poorly understood. This study provides a scoping review of the literature on how virtual laboratories are conceptualized in STEM higher education, and the ideas, principles and presuppositions that inform and sustain research on virtual laboratories in STEM. By searching through databases (n = 7) for peer-reviewed journal articles published in English between 2012 and 2023, focusing on the use of virtual laboratories in STEM higher education, a selection of articles (n = 23) was identified as relevant for the study aim and subjected to thematic analysis and narrative synthesis. The results add to our knowledge from previous systematic reviews of studies on virtual laboratories in STEM higher education, particularly by identifying common characteristics between various definitions of virtual laboratories. Moreover, the review identifies three theoretical traditions influencing work on virtual laboratories for STEM in higher education. While this highlights a field of research committed to evidence-informed pedagogy and instructional effectiveness, it also points to a lack of descriptive, qualitative research that systematically investigates everyday instructional practices with virtual laboratories in STEM-education in naturalistic contexts. Further studies on what happens in such settings would be valuable for informing future theorizing about virtual laboratories in STEM.
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Embracing AI shifts the narrative from disruption to collaboration, encouraging educators to personalise learning, streamline administrative tasks, and enhance critical thinking through discipline-specific tools.
“Embracing AI shifts the narrative from disruption to collaboration, encouraging educators to personalise learning, streamline administrative tasks, and enhance critical thinking through discipline-specific tools such as virtual STEM laboratories (Sellberg et al., 2024) or humanities computational analysis (Dobson, 2019).”
From From avoidance to adoption: strategies for integrating AI in higher education contexts (2026) · cites this paper as Sellberg et al., 2024
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PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D. J., Horsley, T., Weeks, L., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0850 · Cited by 43,565 · see citing works
Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0611-x · Cited by 11,385 · see citing works
A scoping review on the conduct and reporting of scoping reviews
Tricco, A. C., Lillie, E., Zarin, W., O’Brien, K., Colquhoun, H., Kastner, M., Levac, D., Ng, C., Sharpe, J. P., Wilson, K., et al. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0116-4 · Cited by 2,250 · see citing works
Makransky, G., Lilleholt, L., & Aaby, A. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.02.066 · Cited by 424 · cited 1× · see citing works
“In previous research, the notion of presence has been explained as “the experience or feeling of being present in a mediated environment, rather than the immediate physical environment wherein one is currently bodily pres-ent (Makransky et al., 2017, p. 276).”
BackgroundKastner, M., Tricco, A. C., Soobiah, C., Lillie, E., Perrier, L., Horsley, T., Welch, V., Cogo, E., Antony, J., & Straus, S. E. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-114 · Cited by 345 · see citing works
Makransky, G., & Petersen, G. B. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.02.002 · Cited by 321 · see citing works
Makransky, G., Thisgaard, M. W., & Gadegaard, H. (2016) · PLOS ONE · doi:10.1371/journal.pone.0155895 · Cited by 212 · see citing works
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Research works printed but not linked: 38
- August, S. E., Hammers, M. L., Murphy, D. B., Neyer, A., Gueye, P., & Thames, R. Q. (2015). Virtual engineering sciences learning lab: Giving STEM education a second life. IEEE Transactions on Learning Technologies, 9(1), 18-30. https://doi.org/10.1109/TLT.2015.2419253 · DOI
- Balsamo, A. (1995). Forms of technological embodiment: Reading the body in contemporary culture. Body & Society, 1(3-4), 215-237. https://doi.org/10.1177/1357034x95001003013 · DOI
- Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
- Brinson, J. R. (2015). Learning outcome achievement in non-traditional (virtual and remote) versus traditional (hands-on) laboratories: A review of the empirical research. Computers & Education, 87, 218-237. https:// doi.org/10.1016/j.compedu.2015.07.003 · DOI
- Brinson, J. R. (2017). A further characterization of empirical research related to learning outcome achievement in remote and virtual science labs. Journal of Science Education and Technology, 26(5), 546-560. https://doi. org/10.1007/s10956-017-9699-8 · DOI
- Cannon-Bowers, J., & Bowers, C. (2009). Synthetic learning environments: On developing a science of simulation, games, and virtual worlds for training. In S. W. J. Kozlowski & E. Salas (Eds.), Learning, training, and development in organizations (pp. 250-282). Routledge.
- Chowdhury, H., Alam, F., & Mustary, I. (2019). Development of an innovative technique for teaching and learning of laboratory experiments for engineering courses. Energy Procedia, 160, 806-811. https://doi. org/10.1016/j.egypro.2019.02.154 · DOI
- Costabile, M. (2020). Using online simulations to teach biochemistry laboratory content during COVID-19. Biochemistry and Molecular Biology Education, 48(5), 509-510. https://doi.org/10.1002/bmb.21427 · DOI
- DeVries, R. (2000). Vygotsky, Piaget, and education: A reciprocal assimilation of theories and educational practices. New Ideas in Psychology, 18(2-3), 187-213. https://doi.org/10.1016/S0732-118X(00)00008-8 · DOI
- Diwakar, S., Kolil, V. K., Francis, S. P., & Achuthan, K. (2023). Intrinsic and extrinsic motivation among students for laboratory courses-Assessing the impact of virtual laboratories. Computers & Education, 198, 104758. https://doi.org/10.1016/j.compedu.2023.104758 · DOI
- Elme, L., Jørgensen, M. L., Dandanell, G., Mottelson, A., & 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(5), 1601-1626. https://doi. org/10.1007/s11423-022-10139-3 · DOI
- Garcia-Zubia, J., Cuadros, J., Romero, S., Hernandez-Jayo, U., Orduna, P., Guenaga, M., … & Gustavsson, I. (2017). Empirical analysis of the use of the VISIR remote lab in teaching analog electronics. IEEE Transactions on Education, 60(2), 149-156. https://doi.org/10.1109/TE.2016.2608790 · DOI
- Grodotzki, J., Ortelt, T. R., & Tekkaya, A. E. (2018). Remote and virtual labs for engineering education 4.0: Achievements of the ELLI project at the TU Dortmund University. Procedia Manufacturing, 26, 1349- 1360. https://doi.org/10.1016/j.promfg.2018.07.126 · DOI
- Gutiérrez-Carreón, G., Daradoumis, T., Jorba, J., & Peña-Gomar, M. C. (2020). A study on the effectiveness of an undergraduate online teaching laboratory with semantic mechanism from a student perspective. Journal of Information Technology Education, 19, 137. https://doi.org/10.28945/4624 · DOI
- Holly, M., Pirker, J., Resch, S., Brettschuh, S., & Gütl, C. (2021). Designing VR experiences -Expectations for teaching and learning in VR. Educational Technology & Society, 24(2), 107-119.
- Hsu, T. S., TAng, K. Y., & Lin, T. C. (2023). Trends and hot topics of STEM and STEM education: A co-word analysis of literature published in 2011-2020. Science & Education. https://doi.org/10.1007/s11191-023- 00419-6 · DOI
- Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage Publications.
- Makransky, G. (2021). The immersion principle in multimedia learning. In R. Mayer, & L. Fiorella (Eds.), The Cambridge handbook of multimedia learning (pp. 296-303). Cambridge University Press. https://doi. org/10.1017/9781108894333.031 · DOI
- Margot, K. C., & Kettler, T. (2019). Teachers' perception of STEM integration and education: A systematic literature review. International Journal of STEM Education, 6(1), 1-16. https://doi.org/10.1186/s40594- 018-0151-2 · DOI · Paper page
- Martín-Páez, T., Aguilera, D., Perales-Palacios, F. J., & Vílchez-González, J. M. (2019). What are we talking about when we talk about STEM education? A review of literature. Science Education, 103(4), 799-822. https://doi.org/10.1002/sce.21522 · DOI
- Marton, F. (1981). Phenomenography -Describing conceptions of the world around us. Instructional Science, 10, 177-200. https://doi.org/10.1007/BF00132516 · DOI
- Nuanmeesri, S., & Poomhiran, L. (2019). Perspective electrical circuit simulation with virtual reality. International Journal of Online & Biomedical Engineering, 15(5).
- O'Connor, K. (2022). Constructivism, curriculum and the knowledge question: Tensions and challenges for higher education. Studies in Higher Education, 47(2), 412-422. https://doi.org/10.1080/03075079.2020. 1750585 · DOI
- Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V. M., & Jovanović, K. (2016). Virtual laboratories for education in science, technology, and engineering: A review. Computers & Education, 95, 309-327. https://doi.org/10.1016/j.compedu.2016.02.002 · DOI
- Rannikmäe, M., Holbrook, J. & Soobard, R. (2020). Social constructivism-Jerome Bruner. In B. Akpan, & T. J. Kennedy (Eds.), Science education in theory and practice. Springer. https://doi.org/10.1007/978-3-030- 43620-9_18 · DOI · Paper page
- Reeves, S. M., & Crippen, K. J. (2021). Virtual laboratories in undergraduate science and engineering courses: A systematic review, 2009-2019. Journal of Science Education and Technology, 30(1), 16-30. https://doi. org/10.1007/s10956-020-09866-0 · DOI
- Reeves, S. M., Crippen, K. J., & McCray, E. D. (2021). The varied experience of undergraduate students learning chemistry in virtual reality laboratories. Computers & Education, 175, 104320. https://doi. org/10.1016/j.compedu.2021.104320 · DOI
- Riva, G. (2008). From virtual to real body: Virtual reality as embodied technology. Journal of Cyber Therapy and Rehabilitation, 1(1), 7-22.
- Rozin, P. (2009). What kind of empirical research should we publish, fund, and reward? A different perspective. Perspectives on Psychological Science, 4(4), 435-439. https://doi.org/10.1111%2Fj.1745-6924.2009.01151.x · DOI
- Sari, U., Duygu, E., Sen, Ö. F., & Kirindi, T. (2020). The effects of STEM education on scientific process skills and STEM awareness in simulation based inquiry learning environment. Journal of Turkish Science Education, 17(3), 387-405. https://doi.org/10.36681/tused.2020. · DOI
- Shaughnessy, J. M. (2013). Mathematics in a STEM context. Mathematics Teaching in the Middle School, 18(6), 324. https://doi.org/10.5951/mathteacmiddscho.18.6.0324 · DOI
- Tricco, A. C., Soobiah, C., Antony, J., Cogo, E., MacDonald, H., Lillie, E., Tran, J., D'Souza, J., Hui, W., Perrier, L., Welch, V., Horsley, T., Straus, S., & Kastner, M. (2016b). A scoping review identifies multiple emerging knowledge synthesis methods, but few studies operationalize the method. Journal of Clinical Epidemiology, 73, 19-28. https://doi.org/10.1016/j.jclinepi.2015.08.030 · DOI · Paper page
- Uriel, C., Sergio, S., Carolina, G., Mariano, G., Paola, D., & Martín, A. (2020). Improving the understanding of basic sciences concepts by using virtual and augmented reality. Procedia Computer Science, 172, 389-392. https://doi.org/10.1016/j.procs.2020.05.165 · DOI
- Viegas, C., Pavani, A., Lima, N., Marques, A., Pozzo, I., Dobboletta, E., Atencia, V., Barreto, D., Calliari, F., Fidalgo, A., Lima, D., Temporao, G., & Alves, G. (2018). Impact of a remote lab on teaching practices and student learning. Computers & Education, 126, 201-216. https://doi.org/10.1016/j.compedu.2018.07.012 · DOI
- Von Glasersfeld, E. (2012). A constructivist approach to teaching. In L. P. Steffe, & J.Gale (Eds.), Constructivism in education (pp. 21-34). Routledge.
- Wu, B., Hu, Y., & Wang, M. (2020). How do head-mounted displays and planning strategy influence problem- solving-based learning in introductory electrical circuit design? Educational Technology & Society, 23(3), 40-52.
- Xie, Y., Fang, M., & Shauman, K. (2015). STEM education. Annual Review of Sociology, 41, 331-357. https:// doi.org/10.1146/annurev-soc-071312-145659 · DOI
- Zupanc, G. K., Lehotzky, D., & Tripp, I. P. (2021). The neurosphere simulator: An educational online tool for modeling neural stem cell behavior and tissue growth. Developmental Biology, 469, 80-85. https://doi. org/10.1016/j.ydbio.2020.09.016 · DOI
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From avoidance to adoption: strategies for integrating AI in higher education contexts
Gerard, J., Hadi, M. U., Natsheh, B. R. R., Singh, M., & Reid, A. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1869723
- Authors
- Sellberg, C., Nazari, Z., & Solberg, M.
- Affiliations
- University of Oslo (NO)
- Norwegian University of Science and Technology (NO)
- Venue
- Nordic Journal of Systematic Reviews in Education
- Published
- 2024-03-05
- Volume
- 2
- ISSN
- 2704-1883 (ISSN-L)
- OpenAlex
- W4392707065
- Cited by
- 39
- References
- 7
- Citations by year
- 2026: 17 · 2025: 19 · 2024: 3
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Nordic Journal of Systematic Reviews in Education (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Norges Forskningsråd (316212)
- Topics
- Physical Sciences › Engineering › Media Technology › Experimental Learning in Engineering
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Various Chemistry Research Topics
- Social Sciences › Education › Science Education and Pedagogy
- Keywords
- virtual laboratory, STEM education, higher education, virtual simulation, laboratory-based learning, theoretical traditions, instructional practices, teaching effectiveness
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