Bridging the Gap Between Virtual and Physical Laboratories: A Web-Based Interactive Platform for Undergraduate Physics Practicals

The COVID-19 pandemic highlighted the challenges of maintaining hands-on laboratory instruction in undergraduate physics education. In response, we developed and deployed an interactive online physics laboratory platform designed to closely replicate the experimental setups available and curriculum of St. Xavier’s College (Autonomous), Kolkata. The platform is designed to closely replicate real experimental arrangements and is aligned with the curriculum, allowing students to prepare effectively before performing physical experiments. Student feedback revealed that 100% of the respondents rated the platform as beneficial (rating 4 or 5 on a 5-point scale) to improve conceptual understanding and increase confidence in conducting physical experiments. Furthermore, all students agreed that having access to the online prelab simulations is advantageous and recommended its regular use. These findings highlight the effectiveness of web-based simulations as a complementary and sustainable resource for physics education.

💡 Research Summary

The COVID‑19 pandemic exposed the fragility of traditional hands‑on physics laboratory instruction, prompting the authors to develop a lightweight, web‑based virtual laboratory platform called openphys.in, specifically aligned with the undergraduate curriculum of St. Xavier’s College, Kolkata. The platform is built entirely with client‑side technologies (HTML, CSS, JavaScript) and requires no server infrastructure; once loaded, it can run offline and be distributed as simple HTML packages. This design choice maximizes accessibility, especially in low‑resource settings, and enables free static hosting via GitHub Pages with a custom domain.

Openphys.in consists of two main modules: the General Physics Lab (GELab) and the Optics Lab (OpticsLab). GELab offers simulations of classic mechanics and material‑property experiments such as Young’s modulus, rigidity modulus, moment of inertia, surface tension, viscosity, temperature coefficient of resistance, and Stefan‑Boltzmann law. OpticsLab includes Newton’s rings, biprism interference, diffraction grating, refractive‑index and wavelength determination, and angle‑of‑incidence versus deviation studies. Each experiment presents an intuitive UI with sliders, dials, and input fields that mimic real apparatus. Crucially, the platform does not provide built‑in calculation tools; students must record data manually and perform analyses themselves, thereby preserving the cognitive processes of a physical lab.

The system architecture follows a modular folder structure: each experiment resides in its own directory containing a main.html, optional CSS, a resources folder, and any additional JavaScript needed. This organization facilitates rapid addition or modification of experiments, supports version control, and encourages community contributions. Deployment on GitHub Pages eliminates backend costs, making the platform sustainable for institutions with limited budgets.

To assess educational impact, the authors employed a mixed‑methods design. A structured questionnaire captured Likert‑scale ratings on usability, perceived realism, learning support, confidence building, efficiency gains, and overall recommendation, complemented by open‑ended items on challenges and qualitative impressions. Additionally, pre‑ and post‑test scores measured conceptual gains, while semi‑structured interviews with a subset of students and faculty provided deeper insight. All respondents (100 %) rated the platform as beneficial (4 or 5 on a 5‑point scale). Post‑test results showed a statistically significant improvement over pre‑test scores, indicating enhanced conceptual understanding. Qualitative feedback highlighted the realistic interface and the requirement to manually handle data as strengths that fostered authentic experimental reasoning. Reported weaknesses included the absence of automated data‑analysis tools and limited modeling of equipment error or failure modes.

The authors situate their work within constructivist learning theory and Cognitive Load Theory, arguing that pre‑lab simulations reduce extraneous cognitive load by familiarizing students with procedures before they encounter the physical apparatus. They contrast openphys.in with larger, generic platforms such as PhET or Open Source Physics, noting that those tools excel at conceptual visualization but often lack procedural fidelity and curriculum alignment needed for university‑level labs. By tailoring simulations to the exact equipment and protocols used at their institution, openphys.in bridges the gap between virtual rehearsal and real‑world execution.

Limitations of the study include its single‑institution scope, short‑term evaluation, and reliance on self‑reported confidence measures. Future work is proposed in four areas: (1) integrating realistic error models and equipment malfunction scenarios to deepen authenticity; (2) adding built‑in data‑analysis and visualization modules to streamline post‑experiment processing; (3) conducting multi‑institution trials to test generalizability; and (4) leveraging learning analytics to provide adaptive feedback and track longitudinal skill development.

In conclusion, openphys.in demonstrates that a minimal‑technology, curriculum‑specific virtual laboratory can effectively supplement hands‑on physics education, especially during disruptions such as pandemics. Its open, modular, and cost‑free nature makes it a viable, sustainable complement to traditional labs, fostering conceptual mastery, procedural confidence, and equitable access across diverse educational contexts.