Abstract:

Simulation-based learning has become increasingly prominent within engineering education as digital tools enable students to explore complex systems through interactive and visual environments. Unlike traditional lecture-based delivery, simulation allows learners to manipulate parameters, observe real-time cause–effect relationships, and develop conceptual understanding through experimentation. This project investigates the educational value of simulation-based learning as a pedagogical approach within undergraduate engineering science. While the concepts of second moment of area, mass moment of inertia, and structural vibration are used as a focused case study within the University of Bristol curriculum, they serve primarily as a representative context through which the broader effectiveness of simulation-supported learning can be examined.

To explore this, an interactive software tool was designed using a three-tab architecture reflecting progressive conceptual development: cross-sectional geometry and second moment of area; beam bending and structural response; and beam vibration and dynamic behaviour. The interface allows students to modify geometric, material, and inertia parameters and observe real-time structural and dynamic responses. The design intentionally separates geometric stiffness properties from mass-based inertia effects in order to reinforce conceptual distinction through visual interaction.

The intervention is evaluated using a mixed-methods approach. Pre- and post-intervention surveys are administered to assess changes in perceived understanding and conceptual confidence. Quantitative analysis of paired Likert-scale responses was conducted using descriptive statistics and appropriate inferential testing to identify trends in learning impact. This framework enables evaluation of simulation-based learning effectiveness while maintaining applicability beyond the specific case study topic.

Keywords:

Software, Simulation, Engineering, Education, Gamification, Second Moment of Area, Moment of Inertia, Tkinter, Python.