Development and Application of E-Learning Software Aimed at Enhancing Learners' Motivation

Dull and abstract mechanical concepts, along with cumbersome formulas, often pose challenges for students in mechanical course learning. We propose an innovative approach that combines modeling, numerical computation, and E-learning software development to enhance students' learning enthusiasm. Focusing on the teaching knowledge point of "polar moment of inertia", we examine the automotive transmission axle as a specific research case. By constructing a finite element model and conducting numerical calculations, we generated vivid visualization materials, including Mises stress and displacement cloud images. Leveraging the C# programming language, we developed E-learning software that incorporates the calculus derivation processes for axle torsion deformation. The results of our teaching experiment demonstrate the effectiveness of this teaching innovation, with a 90.63 % acceptance rate. Visualization materials, such as Mises stress cloud images, facilitate students' understanding of abstract concepts, garnering an 89.06% acceptance rate. Moreover, the E-learning software significantly increased students' learning enthusiasm, with an 85.91 % acceptance rate. The adoption of modeling and simulation to create digital materials for mechanical education provides a robust foundation for E-learning software development and classroom application. Digitalization and E-learning software are poised to be vital trends in future educational development, with ample opportunities for further exploration by scholars in the field.