Simulation for professional practice

What can I do?

Impact

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Quality

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  1. Create situations in which students must notice relevant information, make decisions, communicate and perform the actions they will need in professional practice [1–5].
  2. Give less experienced students appropriate examples, prompts and guidance, then reduce support as their knowledge and experience develop [1].
  3. Reproduce the features of professional practice that students actually need to respond to. Use people when interpersonal interaction matters, and higher-fidelity equipment when realistic physical responses are important for the skill [5–8].

What is this about?

Simulation gives students opportunities to practise professional work without the risks, unpredictability or access limitations of real practice.

A simulation might involve:

  • interacting with a person portraying a patient, client, parent or pupil;
  • responding to a classroom, consultation or workplace scenario;
  • practising procedures with models or manikins;
  • working through screen-based or virtual cases;
  • using immersive virtual reality; or
  • combining several of these approaches.

What makes these activities simulation is not the technology. It is that students are asked to respond to a representation of professional practice.

This distinction matters. Watching someone demonstrate a procedure or reading a clinical case may help students learn, but simulation requires the learner to do some of the cognitive, interpersonal or physical work of practice themselves.

For example, instead of telling students how to manage a deteriorating patient, challenging classroom interaction or difficult consultation, give them an opportunity to notice what is occurring, decide how to respond, act on that decision and experience the consequences of their choices.

What does the evidence say?

Simulation has a large positive effect on the development of complex professional skills ➕➕➕➕➕ [1–4]. Benefits have been demonstrated across higher education, including nursing and pre-service teacher education, and are particularly evident for skills such as professional performance, problem-solving, diagnostic reasoning and technical performance.

The amount and type of support students need appears to depend on their experience. Less experienced learners may benefit from greater guidance, prompts and examples, while more experienced learners can increasingly manage the task and reflect on their own performance [1].

More realism is not automatically better. Higher-fidelity simulation can improve skill performance and clinical competence ➕➕➕➕➕, but does not reliably improve knowledge, confidence or satisfaction [6]. The best simulation is therefore the one that reproduces the important demands of the capability being taught. For example, human simulated patients may be particularly useful when communication and interpersonal responsiveness are central to the task [5].

What's the underlying theory?

Several complementary theories help explain why simulation can improve professional learning.

Situated learning proposes that knowledge becomes more useful when it is developed and used in contexts resembling those in which it will eventually be applied. Simulation places disciplinary knowledge inside a meaningful professional problem: students do not simply know what to do; they practise recognising when, why and how to use that knowledge.

Cognitive apprenticeship adds the importance of guided practice. Novices initially benefit from modelling, examples, prompts, coaching and feedback. As competence develops, support can be reduced so that learners increasingly manage the task themselves. This is consistent with evidence that the usefulness of different forms of scaffolding changes with learners’ prior knowledge [1].

Cognitive load theory also helps explain why maximum realism is not always desirable. A highly complex simulation can require novice students to process clinically irrelevant or currently unmanageable information. The goal is therefore not to reproduce reality perfectly, but to reproduce the important demands of practice at a level students can productively manage.

Finally, transfer of learning provides a useful way of thinking about fidelity. What matters is not simply whether a simulator looks like the real environment, but whether students must perceive information, make decisions and perform actions that correspond to those required in the eventual professional setting [8].

Where does the evidence come from?

This summary is informed primarily by four meta-analyses and one umbrella review, with additional reviews used to examine specific simulation-design features [1–7].

The broadest meta-analysis included 145 studies of simulation-based learning across higher education [1]. The effect remained large in the subgroup of undergraduate and graduate students, but heterogeneity was very high. We rate this review as high quality ➕➕➕➕.

An umbrella review of undergraduate nursing included six systematic reviews representing 133 primary studies [2]. It found substantial benefits for knowledge and professional performance, although heterogeneity remained high ➕➕➕. Evidence from pre-service teacher education also showed positive effects, supporting some generalisation beyond healthcare [4].

Other reviews examining standardised patients and simulation fidelity are less robust, but provide useful information about implementation [5,6]. In particular, higher fidelity appears beneficial for some performance outcomes but is not consistently superior for knowledge, confidence or satisfaction.

Overall, the evidence strongly supports simulation as a professional-learning strategy, but there is less certainty about which particular simulation design is best.

References

  1. Chernikova, O., Heitzmann, N., Stadler, M., Holzberger, D., Seidel, T., & Fischer, F. (2020). Simulation-based learning in higher education: A meta-analysis. Review of Educational Research, 90(4), 499–541. https://doi.org/10.3102/0034654320933544
  2. Vangone, I., Arrigoni, C., Magon, A., Conte, G., Russo, S., Belloni, S., Stievano, A., Alfes, C. M., & Caruso, R. (2024). The efficacy of high-fidelity simulation on knowledge and performance in undergraduate nursing students: An umbrella review of systematic reviews and meta-analysis. Nurse Education Today, 139, 106231. https://doi.org/10.1016/j.nedt.2024.106231
  3. Shin, S., Park, J.-H., & Kim, J.-H. (2015). Effectiveness of patient simulation in nursing education: Meta-analysis. Nurse Education Today, 35(1), 176–182. https://doi.org/10.1016/j.nedt.2014.09.009
  4. Han, X., Luo, H., Wang, Z., & Zhang, D. (2025). Using virtual reality for teacher education: A systematic review and meta-analysis of literature from 2014 to 2024. Frontiers in Virtual Reality, 6, 1620905. https://doi.org/10.3389/frvir.2025.1620905
  5. Ma, J., Lee, Y., & Kang, J. (2023). Standardized patient simulation for more effective undergraduate nursing education: A systematic review and meta-analysis. Clinical Simulation in Nursing, 74, 19–37. https://doi.org/10.1016/j.ecns.2022.10.002
  6. Kim, Y.-J., & Yoo, J.-H. (2022). Effects of manikin fidelity on simulation-based nursing education: A systematic review and meta-analysis. Journal of Nursing Education, 61(2), 67–72. https://doi.org/10.3928/01484834-20211213-03
  7. Pritchard, S. A., Blackstock, F. C., Nestel, D., & Keating, J. L. (2016). Simulated patients in physical therapy education: Systematic review and meta-analysis. Physical Therapy, 96(9), 1342–1353. https://doi.org/10.2522/ptj.20150500
  8. Hamstra, S. J., Brydges, R., Hatala, R., Zendejas, B., & Cook, D. A. (2014). Reconsidering fidelity in simulation-based training. Academic Medicine, 89(3), 387–392. https://doi.org/10.1097/ACM.0000000000000130

Additional Resources