Research on the Strategy of Enhancing Practice Teaching Effectiveness in Professorship Education Through CAD and Neural Network Technology

Abstract

This study explored the integration of computer-aided design (CAD) and neural network technology in vocational education, focusing on course design, skill training, and project-based learning. Through analysis, the study reveals how this technological integration improved students’ practical skills, innovative thinking, and problem-solving abilities. Feedback from students indicated high satisfaction with the personalized resources provided by the system, which effectively met their learning needs. Empirical findings showed significant improvements in students' practical capabilities after applying CAD and neural network technology. Compared to traditional models, students demonstrated faster execution and better reporting skills. This integration marks a breakthrough in practical teaching in professorship education, enhancing both instructional effectiveness and the overall learning experience. © 2025 IGI Global. All rights reserved.

Keywords

Author Keywords

Neural network CAD Practice Teaching Professorship Education

Index Keywords

Teaching Curricula Personnel training Skill training Students Vocational education Neural-networks Course design Practice teachings Computer-aided design Design skills Network technologies Professorship education Teaching effectiveness

Author Affiliations

Qinhuangdao Vocational and Technical College, Qinhuangdao, China

Funding & Acknowledgements

No funding information

References 10 References

1 Alam, Ashraf, Design, Development, and Implementation of Software Engineering Virtual Laboratory: A Boon to Computer Science and Engineering (CSE) Education During Covid-19 Pandemic, Lecture Notes in Networks and Systems, 587, pp. 1-20, (2023)

2 Mudir J Manaj Pendidik, (2023)

3 Chen, Tianchen, Exploration of CAD Virtual Reality Interactive Interface Design based on Deep Convolution Neural Networks, Computer-Aided Design and Applications, 21, S25, pp. 124-140, (2024)

4 Scientific Bulletin of Mukachevo State University Series Pedagogy and Psychology, (2023)

5 World Journal of Advanced Engineering Technology and Sciences, (2024)

6 Hamzah, Fanidawarti, Advancing Education through Technology Integration, Innovative Pedagogies and Emerging Trends: A Systematic Literature Review, Journal of Advanced Research in Applied Sciences and Engineering Technology, 41, 1, pp. 44-63, (2024)

7 Hirvonen, Juha, Rapid Design Optimization of a Sheet Metal Part by Applying a Neural Network, 2024 10th International Conference on Automation, Robotics, and Applications, ICARA 2024, pp. 201-205, (2024)

8 Hurtado, S. J., The effects of combining virtual laboratory and advanced technology research laboratory on university students’ conceptual understanding of electron microscopy, Interactive Learning Environments, 31, 2, pp. 1126-1141, (2023)

9 Jie, Li, Development of a Virtual Reality-based Implementation System for Vocational Education Orientation Training Mode using BP Neural Network in the Production and Teaching Combination, Computer-Aided Design and Applications, 20, S14, pp. 135-149, (2023)

10 Juzoń, Zbigniew, Application of Enterprise Architecture and Artificial Neural Networks to Optimize the Production Process, Electronics (Switzerland), 12, 9, (2023)

Research on the Strategy of Enhancing Practice Teaching Effectiveness in Professorship Education Through CAD and Neural Network Technology

How to Cite