STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Empowering Electrical Engineering and Automation Majors: Technology-Driven Machine Vision Curriculum Reform for the Digital Age
DOI: https://doi.org/10.62517/jnse.202417308
Author(s)
Juncheng Zou*
Affiliation(s)
College of Electronic Information and Electrical Engineering, Huizhou University, Huizhou, Guangdong, China *Corresponding Author
Abstract
The advent of technological advancements has brought about significant transformations in various domains, including education, particularly in electrical engineering and its automation. This paper explores how schools and teachers are adapting to these changes through technology-driven curriculum reforms in electrical engineering and automation education. The shift from traditional lecture-based methods to student-centered learning models is no longer an option but a necessity given the rapid pace of innovation and industry demands. The integration of virtual reality, artificial intelligence, and online education platforms in electrical engineering and automation courses provides immersive experiences and flexible learning options, allowing students to explore complex concepts more interactively and engage deeply with subject matter. Furthermore, technology-driven curriculum reforms emphasize close collaboration with industry enterprises to ensure graduates possess the practical skills and innovative thinking abilities required by today's job market. This paper highlights the importance of harnessing modern information technology in electrical engineering and automation education and the need for a symbiotic relationship between schools, teachers, and industries to develop talents capable of contributing meaningfully to society. The use of technology-driven courses will not only promote the development of high-quality educational programs but also improve students' comprehensive understanding and practical abilities, preparing them for successful careers in this dynamic field.
Keywords
Automation Training; Machine Vision; Curriculum Reform; Digital Transformation; Skills Gap
References
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