Application Research on Virtual Simulation Experiment Teaching Platform: Based on Industrial Robot Engineering Simulation Course
DOI: https://doi.org/10.62517/jnse.202617403
Author(s)
Limeng Shuai, Si Liu, Xiaowei Guo, Xianyong Xu
Affiliation(s)
School of Aeronautics and Intelligent Manufacturing, Hankou University, Wuhan, China
Abstract
Practical teaching is of vital importance in engineering education. However, traditional practical teaching often faces constraints such as equipment limitations, safety risks, and high costs. This paper takes the "Industrial Robot Engineering Simulation" course as an example to construct a virtual simulation experiment teaching platform based on the three-stage theory of skill learning proposed by Fitts and Posner. The platform is developed collaboratively with enterprises using Web-based technology and Unity 3D, and it supplements the simulation functions of equipment layout, wiring, and system commissioning based on the RobotStudio software. A teaching mode of "virtual-real integration, three-stage driving" (cognitive experience — simulated operation — project practice) is designed and implemented. The Operational Proficiency Index (OSI) is established as a process evaluation metric. Two rounds of comparative experiments (N=157) demonstrate that the experimental class outperforms the control class in comprehensive scores (average improvement of 12.6–12.8 points, Cohen's d>1.3), efficiency (completion time reduced by 23%–25%), and first-attempt pass rate (increased by over 30 percentage points). Module-level analysis reveals the virtual platform's particular advantages in construction-process-related content, while OSI shows strong predictive validity for final hands-on performance (R²=0.68). Combining virtual simulation with the "virtual-real integration, three-stage driving" teaching model is beneficial for engineering training of applied undergraduates, and the OSI index can serve as a quantitative assessment standard.
Keywords
Virtual Simulation; Experiment Teaching Platform; Industrial Robot; Offline Programming; Robotstudio; Applied Undergraduate
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