The evolution of quality productivity, driven by technological advancements, is reshaping the landscape of graduate education. This paper explores the construction and enhancement of a quality assurance system (QAS) for graduate education, emphasizing the integration of new quality productivity. The study underscores the importance of embedding technological innovation, such as artificial intelligence (AI) and big data analytics, into the QAS to ensure that graduate education aligns with the demands of the digital era. Based on the research methods of system dynamics and structural equations, this paper firstly analyzes the current status of community governance, identifies various influencing factors affecting graduate education and teaching, constructs an SEM model according to the causal relationship of its internal factors, and uses spss and amos analysis to obtain the path coefficient of the impact on the governance level of the whole community. Based on the theory of system dynamics, the stock flow diagram and SD model diagram were established to simulate the path coefficients obtained from the structural equation model, and the law of postgraduate education and teaching improvement was analyzed.The research findings aim to provide insights into how institutions can systematically integrate new quality productivity into their quality assurance practices, thereby fostering an educational environment that supports innovation, excellence, and sustainability in graduate education.

Junwei Shi, Biao Huang, Lifeng Li, Baitong Li, Hongzhu Jin. Research on the Construction and Improvement Path of Quality Assurance System for Graduate Education Empowered by New Quality Productivity. Frontiers in Educational Research (2024) Vol. 7, Issue 9: 99-108. https://doi.org/10.25236/FER.2024.070916.

[1] Hu Zhiai, Zou Shujuan, Zhu Songsong, et al. Application of digitally-assisted CBL in the teaching of orthodontic-orthognathic surgery combined therapy for graduate students[J]. Chinese Journal of Aesthetic Medicine,2024,33(07):156-159.DOI:10.15909/j.cnki.cn61-1347/r.006386.

[2] Zhang Yun, Gao Sheng, Zhang Meixia. Exploration of the complementary role of blended group teaching in the training of two types of graduate students in ophthalmology[J].China Continuing Medical Education,2024,16(06):17-21.

[3] Xie Ni, Mao Weiyun, Cheng Ying. Analysis of the difference and its impact on the motivation of learning behavior in graduate courses[J]. Journal of Higher Education,2024,10(06):24-31.DOI:10. 19980/j. CN23-1593/G4.2024.06.006.

[4] Li Fang, Fan Ruijun, Zhang Jing, et al. Research on the teaching reform of case-based teaching method in laboratory diagnostics[J].Chinese Journal of Continuing Medical Education,2022,14(21):36-39.

[5] Zhang Jinliu. Construction of evaluation index system for practice teaching quality of graduate students with master's degree in environmental engineering[J].Journal of Bengbu University, 2022, 11(05): 86-89.DOI:10.13900/j.cnki.jbc.2022.05.014.

[6] Xia Ningman. Investigation and research on teaching quality satisfaction of graduate students with master's degree in translation[J].Foreign Language Electronic Teaching,2021,(05):80-87+12.

[7] Wang Dan. Research and practice of classroom teaching quality monitoring system for graduate students in local medical colleges[J].Huaxia Medicine,2020,33(03):166-168.DOI:10.19296/j.cnki. 1008-2409. 2020-03-048.

[8] Zhang Fen, Wei Gang, Hu Zhiyong, et al. Curriculum Effective Teaching Quality Assurance Strategy from the Perspective of Teachers[J].Journal of Graphics,2020,41(01):158-163.

[9] Guo Yingying, Zhao Jing, Liu Hongdou. The connotation and realization of quality monitoring of postgraduate experimental teaching——Based on the practice of quality monitoring of experimental courses in Shenzhen Graduate School of Tsinghua University[J].Education Modernization,2020,7(37):1-3.DOI:10.16541/j.cnki.2095-8420.2020.37.001.

[10] Chen Ming, Wu Jianlin, Shu Dan. Exploration on the teaching quality improvement strategy of "Engineering Numerical Methods" course under the background of modern engineering technology [J].Higher Education Forum, 2019,(10):30-33.