This study explores and validates the effectiveness of a virtual-real integrated teaching model in mold design education. The research adopts the ADDIE model for systematic development and implementation, incorporating Unity 3D technology to create an interactive learning system. Results indicate that this model significantly enhances student engagement, participation, and comprehension of mold design concepts. Traditional mold design education faces challenges due to the limitations of physical mold demonstrations, hindering students’ intuitive understanding. The developed 3D interactive learning system allows students to disassemble, design, and simulate molds in a virtual environment, effectively overcoming these limitations. Evaluations show that student interest increased from 64% to 90%, and comprehension improved from 30% to 80%, demonstrating the model’s effectiveness. This study contributes to innovative vocational education methodologies and provides a foundation for future applications in CNC machining, metal forming, and mechanical design, with potential integration of AI and AR technologies for enhanced learning experiences.

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Exploration of the Effectiveness of Integrating Virtual-Real Technologies in Enhancing the Practical Course of Plastic Injection Mold Design and Development

  • Chang-Zhe Lin,
  • Jui-Hung Cheng

摘要

This study explores and validates the effectiveness of a virtual-real integrated teaching model in mold design education. The research adopts the ADDIE model for systematic development and implementation, incorporating Unity 3D technology to create an interactive learning system. Results indicate that this model significantly enhances student engagement, participation, and comprehension of mold design concepts. Traditional mold design education faces challenges due to the limitations of physical mold demonstrations, hindering students’ intuitive understanding. The developed 3D interactive learning system allows students to disassemble, design, and simulate molds in a virtual environment, effectively overcoming these limitations. Evaluations show that student interest increased from 64% to 90%, and comprehension improved from 30% to 80%, demonstrating the model’s effectiveness. This study contributes to innovative vocational education methodologies and provides a foundation for future applications in CNC machining, metal forming, and mechanical design, with potential integration of AI and AR technologies for enhanced learning experiences.