The Embedding of Professional Software Strengthen the Electrical Engineering Education
Electrical Engineering plays a vital role in shaping the modern world across various sectors. As the day by day rapid technological changes demand innovative teaching methods, this paper presents an organized method for the embedding of professional software tools, aiming for the modernization of the electrical engineering curriculum by proposing a modified form of problem-based learning method, that offers students handson experience in dealing with real-world challenges, and also actively participate in acquiring fundamental concepts, build up their problem-solving capabilities and develop model building skill by analyzing through visualization. There are a lot of software packages available for simulation, in this study the author used EMTP software simulation tools to explain the high voltage power system concept to electrical engineering students of Wuhan University, China, and take feedback to measure the effectiveness of learning through simulation tools on teaching and learning process in regular curriculum. The response from the students' feedback showed that they were more satisfied with the simulation task compared to the conventional one. It helped them to understand theoretical concepts better. This research contributes to the advancement of engineering education by providing a comprehensive framework for teaching courses using simulation-based learning approaches.
Authors
- Xiang Guanteng
- Feng Wang
- Shakeel Ahmad (ORCID: https://orcid.org/0000-0003-4653-3323)
- Fei Chen (ORCID: https://orcid.org/0000-0001-9643-7191)
- Rahat Ali (ORCID: https://orcid.org/0000-0002-5482-713X)
- Jinsong Tao (ORCID: https://orcid.org/0000-0002-3975-3128)
Institutions
- State Grid Corporation of China (China) (CN)
- Wuhan University (CN)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1109/iceed62316.2024.10923791
- Citations
- 1
- Primary Topic
- Experimental Learning in Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.32