STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on Quality Assurance Strategies for Graduate Education in Computer Science
DOI: https://doi.org/10.62517/jhet.202415524
Author(s)
Zhanfang Chen, Xiaoming Jiang, Nuan Wen, Xin Zhang
Affiliation(s)
Changchun University of Science and Technology, Changchun, Jilin, China
Abstract
This paper summarizes common problems and proposes countermeasures to solve them through an in-depth study of the quality of graduate training in computer science. In the process of program improvement, opinions are widely collected, details are refined and polished, and the program is piloted within the college and iteratively improved according to the feedback. After practical testing, a scientific and effective evaluation program will be formed, and universal standards will be formed by combining the characteristics of other colleges. The program will be extended to the whole university after validation, and corresponding policies and documents will be issued to improve the breadth of the program's application, and other colleges can refine and improve the program according to their specific conditions in order to further enhance the quality of training.
Keywords
Graduate Education; Complex Talents; Computer Science Majors; Education Quality Assurance; Selection Mechanism
References
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