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Updated: Jun 24, 2025

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
Published on: February 23, 2024
Design and application of virtual simulation teaching platform for intelligent manufacturing
Pengfei Zheng1,2, Junkai Yang3, Jingjing Lou4
1Xingzhi College, Zhejiang Normal University, Lanxi, 321100, China. pfzheng@126.com.
A new virtual simulation teaching platform for intelligent manufacturing majors addresses equipment shortages and high costs. This platform significantly improves student academic performance and engagement in competitions and activities compared to traditional methods.
Area of Science:
- Intelligent Manufacturing Education
- Virtual Simulation Technology
- Engineering Pedagogy
Background:
- Traditional intelligent manufacturing practical teaching faces challenges: high equipment investment, material loss, teaching risks, and difficulties with internships, observation, and result reproduction.
- Existing limitations hinder effective hands-on learning for students in electrical automation, mechatronics, and industrial robotics.
Purpose of the Study:
- To design and establish a virtual simulation teaching platform for intelligent manufacturing majors.
- To address the practical teaching challenges of "three highs and three difficulties" (high investment, high loss, high risk; difficult internship, observation, reproduction).
- To evaluate the effectiveness of the virtual simulation platform in enhancing student learning outcomes.
Main Methods:
- Development of a virtual simulation platform integrating cloud computing, edge computing, and terminal equipment synergy.
- Inclusion of six virtual simulation modules: electrician electronics and PLC control, typical production lines, collaborative robotics, digital twin, industrial robot disassembly, and flexible production lines.
- Implementation of a teaching practice activity with 246 students across three majors, followed by data analysis of academic performance, competition participation, awards, and subjective feedback over one academic year.
Main Results:
- Students using the virtual simulation platform showed significant improvements: over 13% in academic performance, 37% in competition/innovation activity participation, 36% in awards, 27% in professional qualification certificates, and 22% in overall knowledge system improvement.
- The platform effectively alleviates practical training equipment shortages.
- Student feedback indicates increased learning interest and broader knowledge acquisition.
Conclusions:
- The developed virtual simulation teaching platform demonstrates clear superiority in overcoming the limitations of traditional practical teaching in intelligent manufacturing.
- The platform is a viable solution for enhancing student engagement, practical skills, and overall learning outcomes in intelligent manufacturing education.
- The findings support the adoption of virtual simulation technologies to modernize and improve engineering practical training.
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