Evaluation Method of Course Goal Achievement Degree of Engineering Education Certification Based on Intelligent Image Processing
DOI: 10.23977/avte.2024.060508 | Downloads: 22 | Views: 907
Author(s)
Rong Jiang 1, Chao Lin 1,2, Zhiguo Zhang 3, Yuehui Shen 4
Affiliation(s)
1 Physical Science and Technology College, Yichun University, Yichun, Jiangxi, 336000, China
2 School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang, Jiangxi, 330013, China
3 University of Shanghai for Science and Technology, Yangpu, Shanghai, 200093, China
4 China Railway 16th Bureau Group 3rd Corporation Limited, Huzhou, Zhejiang, 313000, China
Corresponding Author
Chao LinABSTRACT
The accreditation of engineering education professional qualification certificate is an important way to improve and ensure the quality of engineering education, which is also an important aspect of the quality assurance of engineering education in China. With the acceleration of economic globalization and closer international exchanges, China's engineering technology education is facing greater challenges. More and more international forces are impacting China's engineering technology education, and technological change has also changed the content and methods of engineering technology education. How to cultivate the compound engineering and technical talents that meet the needs of the market is a major problem faced by all countries. The professional qualification certificate of engineering education is an important way to solve this problem, which has attracted extensive attention from the industry, universities and the government. Therefore, this paper used intelligent image processing technology to study the degree of realization of the objectives of the engineering education professional qualification certificate course. In the experiment of certification and evaluation of engineering education, 50.22% of the students believed that management ability was the most necessary ability. Only a few students thought that the ability of psychological quality was more important, accounting for 13.28%. Therefore, it was necessary to study the certification course of engineering education.
KEYWORDS
Engineering Education Professional Certification, Goal Achievement Evaluation and Analysis, Intelligent Image Processing, Training of Engineering TalentsCITE THIS PAPER
Rong Jiang, Chao Lin, Zhiguo Zhang, Yuehui Shen, Evaluation Method of Course Goal Achievement Degree of Engineering Education Certification Based on Intelligent Image Processing. Advances in Vocational and Technical Education (2024) Vol. 6: 51-61. DOI: http://dx.doi.org/10.23977/avte.2024.060508.
REFERENCES
[1] Smith Jeremy, Anh LH Tran, and Paul Compston. "Review of humanitarian action and development engineering education programmes." European Journal of Engineering Education 45.2 (2020): 249-272.
[2] Hammack Rebekah, and Toni Ivey. "Elementary teachers' perceptions of K‐5 engineering education and perceived barriers to implementation." Journal of Engineering Education 108.4 (2019): 503-522.
[3] Rouvrais Siegfried, Bernard Remaud, and Morgan Saveuse. "Work-based learning models in engineering curricula: insight from the French experience." European Journal of Engineering Education 45.1 (2020): 89-102.
[4] Denton Maya, Maura Borrego, and Audrey Boklage. "Community cultural wealth in science, technology, engineering, and mathematics education: A systematic review." Journal of Engineering Education 109.3 (2020): 556-580.
[5] Peters-Burton Erin E., and Todd Johnson. "Cross-Case Analysis of Engineering Education Experiences in Inclusive STEM-Focused High Schools in the United States." International Journal of Education in Mathematics, Science and Technology 6.4 (2018): 320-342.
[6] Mavromihales Mike, Violeta Holmes, and Radu Racasan. "Game-based learning in mechanical engineering education: Case study of games-based learning application in computer aided design assembly." International Journal of Mechanical Engineering Education 47.2 (2019): 156-179.
[7] Berdanier Catherine GP, Xiaofeng Tang, and Monica F. Cox. "Ethics and sustainability in global contexts: Studying engineering student perspectives through photoelicitation." Journal of Engineering Education 107.2 (2018): 238-262.
[8] Herkert Joseph, Jason Borenstein, and Keith Miller. "The Boeing 737 MAX: Lessons for engineering ethics." Science and engineering ethics 26.6 (2020): 2957-2974.
[9] Minichiello, Angela. "From deficit thinking to counter storying: A narrative inquiry of nontraditional student experience within undergraduate engineering education." International Journal of Education in Mathematics, Science and Technology 6.3 (2018): 266-284.
[10] Chuchalin, Alexander. "Evolution of the CDIO approach: BEng, MSc, and PhD level." European journal of engineering education 45.1 (2020): 103-112.
[11] Cruz, Joshua, and Nadia Kellam. "Beginning an engineer’s journey: A narrative examination of how, when, and why students choose the engineering major." Journal of Engineering Education 107.4 (2018): 556-582.
[12] Prince, Michael, Richard Felder, and Rebecca Brent. "Active student engagement in online STEM classes: Approaches and recommendations." Advances in Engineering Education 8.4 (2020): 1-25.
[13] Mehrabi Boshrabadi, Abbas, and M. Reza Hosseini. "Designing collaborative problem solving assessment tasks in engineering: an evaluative judgement perspective." Assessment & Evaluation in Higher Education 46.6 (2021): 913-927.
[14] Bessa, Bruno R., Simone Santos, and Breno J. Duarte. "Toward effectiveness and authenticity in PBL: A proposal based on a virtual learning environment in computing education." Computer Applications in Engineering Education 27.2 (2019): 452-471.
[15] Septiani, Virma, and Dwi Cahyono. "Education and training strategy in Palembang aviation college." International Journal of Recent Technology and Engineering 8.3 (2019): 7891-7894.
Downloads: | 14631 |
---|---|
Visits: | 727477 |