Innovative Approaches to Laboratory-Based Learning in Health Sciences

Laboratory training in health sciences has evolved beyond traditional bench‐work to embrace a spectrum of digitally enhanced, learner-centred modalities. Remote-access workstations enable students to control real instruments—from spectrophotometers to PCR machines—over the internet, while virtual and augmented reality environments recreate complex procedures such as surgical suturing or histological staining in three dimensions. Blended models combine in-person internships with asynchronous online modules to maintain continuity during disruptions and to provide personalised feedback loops. Course-based undergraduate research experiences (CUREs) introduce authentic research tasks early in the curriculum, fostering analytical thinking, collaboration and self-efficacy. Digital game-based elements and adaptive simulations engage students through challenge and instant evaluation, reinforcing core concepts from pharmacology to microbiology. Emerging tools such as lab-on-a-chip devices, 3D-printed anatomical models and AI-driven image analysis further bridge the gap between theoretical knowledge and clinical application. Collectively, these innovations aim to broaden access, deepen skill acquisition and prepare graduates for a rapidly digitalising health research landscape.

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Innovative Approaches to Laboratory-Based Learning in Health Sciences publication trend

The graph below shows the total number of articles in innovative approaches to laboratory-based learning in health sciences across all publications each year (not limited to Nature Index journals).

Technical terms

Course-based undergraduate research experience (CURE): A structured curriculum element in which students engage in authentic research projects as part of a regular course, rather than in discrete honours or summer projects.

Dry-lab: Laboratory activities conducted without physical specimens or reagents, typically using computational modelling, data analysis or theoretical exercises.

Blended learning: An instructional approach that combines face-to-face interactions with online components, allowing flexible pacing and multimodal feedback.

Virtual simulation-based learning: The use of interactive software to replicate laboratory equipment and experimental protocols, often with real-time feedback and adaptive difficulty.

Bioinformatics: The interdisciplinary science of collecting and analysing biological data, especially large datasets such as genomic sequences, using computational tools.

Self-efficacy: A learner’s belief in their own ability to successfully execute specific tasks or skills in a given domain.

References

1. An Online CURE Taught at a Community College During the Pandemic Shows Mixed Results for Development of Research Self-Efficacy and In-class Relationships. Journal of Science Education and Technology (2023).
2. Competence Development in an Undergraduate Physiotherapy Internship Program during the COVID-19 Pandemic: A Blended Learning Approach. Sustainability (2023).
3. Medical Students' Perception of Virtual Simulation-Based Learning in Pharmacology. Cureus (2023).