Simulation has long been embedded in professional preparation programs where the stakes of real-world performance are exceptionally high. Aviation, for example, relies on flight simulators to prepare pilots for emergency scenarios that cannot safely be recreated in actual flight. Medical schools use patient simulations to strengthen diagnostic reasoning. Business and law schools may use simulations to cultivate decision making, collaboration, and adaptive expertise. What these diverse fields recognize is that expertise develops not merely through the acquisition of information, but through repeated opportunities to apply knowledge under conditions that approximate authentic complexity.
Increasingly, K–12 educators are embracing this same principle. Simulation-based learning (SBL) has emerged as a powerful instructional approach because it requires learners to engage in active problem solving, decision making, communication, and reflection (Hallinger & Wang, 2020). Rather than positioning students as passive learners, simulations create environments in which they interpret information, respond to evolving conditions, and evaluate the consequences of their actions.
Research suggests that SBL can produce significant gains in student engagement, conceptual understanding, and transfer of learning (Talan, 2021). One reason is that simulations require that students engage in tasks demanding analysis, evaluation, and strategic thinking rather than surface-level recall.
Simulations Across All Subjects
Simulations can happen across disciplines and create situations where knowledge becomes functional, not declarative. In science class, for example, a simulation exploring ecosystem dynamics requires students to consider variables such as resource scarcity and environmental change. A government simulation involving a mock constitutional convention asks students to negotiate competing priorities and defend positions using evidence.
Simulations create situations where knowledge becomes functional, not declarative.
In the video that accompanies this column, Career and Technology Teacher Captain Nick Swift uses a simulation of a house fire to apprentice his students in search and rescue. Swift has constructed a course, with staged smoke and lights, to help his students practice and apply what they have learned in his class.
Developing Expertise and Communication Skills
As observed in the fire technology class, an additional strength of simulations lies in their capacity to develop adaptive expertise—characterized by flexibility, innovation, and responsiveness to new and evolving situations (Carbonell et al., 2014). Simulations cultivate adaptive expertise because they frequently involve uncertainty, incomplete information, and multiple viable solutions. Students must revise thinking as new conditions emerge.
The collaborative nature of many simulations further contributes to their instructional value. Whether students are managing a public health crisis, conducting a mock trial, or responding to an environmental disaster scenario, communication becomes central to successful performance. Importantly, collaboration within simulations is not peripheral to learning; it is frequently the process through which students develop understanding, refine reasoning, and apply knowledge.
AI-Powered Simulations
Technological advances are expanding the possibilities of simulation-based instruction. Virtual reality environments, augmented reality applications, and AI systems now allow learners to engage with increasingly sophisticated simulations. (Try an AI-enhanced simulation yourself by visiting https://bit.ly/immersioned.) AI-powered platforms can adapt scenarios dynamically based on student responses, providing individualized feedback and branching decision pathways. They can also guide the debrief of the simulation, prompting and supporting student reflection. Students may practice conducting medical interviews or solving engineering challenges in environments that respond authentically to their decisions. These developments align with emerging research suggesting that immersive learning environments can strengthen engagement and retention when paired with intentional instructional design (Lin et al., 2024).
Making the Most of Simulations
Simulations are not inherently effective because they are interactive or technologically sophisticated. Kirschner, Sweller, and Clark (2006) caution that minimally guided instruction can overwhelm novice learners when adequate scaffolding is absent. Effective SBL requires clear learning goals, sufficient background knowledge, structured supports, and opportunities for guided reflection.
In addition, the learning does not end when the activity concludes. Students need opportunities to analyze what happened, explain their decisions, evaluate outcomes, and connect the experience back to broader concepts. Reflection transforms activity into understanding. Teachers might ask:
- What decisions led to success or failure?
- What assumptions shaped your thinking?
- How did collaboration influence outcomes?
- What would you do differently next time?
- How does this simulation connect to real-world situations?
These conversations help students transfer insights beyond the immediate experience.
Stimulating Simulations
The future demands learners who can apply knowledge flexibly in unfamiliar situations, work productively with others, and make informed decisions under conditions of uncertainty. Simulations provide opportunities to rehearse these capacities in psychologically safe environments where mistakes become opportunities for learning rather than failure.
Student Engagement
Simulations That Stick
in 15 hours
Video Reflection: Simulations Evoke Real Learning
Watch a high school fire technology class in California, then consider the following questions for reflection or discussion with your colleagues.
- How might this simulation, or ones you design, provide students opportunities to apply their learning?
- What role did the learning goals and skills play in the design of the simulation?
- How might students’ reflections support their learning from the simulation?
