A research team examined whether computer simulations help future biomedical scientists move more smoothly from theory to practice. They reviewed 45 studies published between 2020 and 2025, comparing traditional courses with screen‑based interactive ones. The findings indicate that simulations can make lessons more engaging: students practice lab procedures in a virtual setting, without risks and with instant feedback. However, most research relies on self‑reports—students claim they learned more—but few studies measured real skills with objective tests. This makes it hard to know if simulations truly boost work readiness. The authors recommend designing stricter studies, using standardized assessments and long‑term follow‑up, to see if digital‑learned abilities transfer to real labs. In short, simulations hold great promise, but more solid evidence is needed to prove their real impact on biomedical training.
Screen‑based simulations (SBS) encompass 3D environments, augmented reality and interactive modules that replicate lab protocols, from sample preparation to data analysis. Pedagogically, they rely on experiential learning: students make mistakes in a safe setting, receive immediate feedback, and can repeat procedures until mastery. Yet current literature shows methodological gaps. Many studies use subjective measures, such as satisfaction surveys or self‑reported learning gains, which are prone to social desirability bias. To assess true SBS effectiveness, objective metrics are needed: performance tests on real tasks, competency assessments using standardized rubrics, and ideally observations in clinical settings. Ecological validity is also essential: simulations must faithfully mirror actual lab conditions, including time management, safety, and teamwork. Transferability of skills is another key factor; longitudinal studies tracking students from virtual courses to clinical internships can reveal whether acquired abilities persist and apply in real scenarios. Finally, SBS design should follow a well‑defined competency framework, pinpointing specific objectives (e.g., interpreting electrophoresis results) and integrating formative and summative assessments. Only with such rigorous approaches can we convincingly demonstrate that computer simulations narrow the theory‑practice gap for biomedical scientists.
