Construction of a Dynamic Quality Evaluation Model for Full-Time Engineering Professional Degree Postgraduates Based on AHP-Entropy Weight Method
- Authors
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Xia Yanqin Xia
School of Energy and Power Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212100, ChinaAuthor -
Yang Ao
School of Architecture and Civil Engineering, Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212100,ChinaAuthor -
Shi Hong
School of Energy and Power Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212100, ChinaAuthor -
Mei Ling
School of Architecture and Civil Engineering,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212100,ChinaAuthor
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- Keywords:
- Full-Time, Engineering, Quality Evaluation Indicator Model, PDCA-CIPP Model, Analytic Hierarchy Process (AHP)
- Abstract
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Currently, China has become the second-largest country in the world in terms of postgraduate education scale. However, the evaluation of the program quality of full-time engineering professional degree postgraduates faces challenges such as a single indicator system and insufficient universality. To address these issues, this study constructs a dynamic quality evaluation model encompassing multiple dimensions, including academic ability, engineering practice, and innovation literacy, based on the Analytic Hierarchy Process (AHP) and entropy weight method. By introducing an enterprise practice feedback mechanism and optimizing the evaluation process using a PDCA-CIPP integrated framework, the model effectively resolves traditional pain points, including inadequate stakeholder collaboration and poor dynamic adaptability. Empirical analysis demonstrates that the model's weight allocation is scientific (e.g., the weight of "university-enterprise cooperation" is increased to 25%) and can accurately identify training shortcomings (e.g., a 23% improvement in practice-related scores). This provides a quantitative basis for universities to dynamically adjust training programs. The research findings offer significant reference value for deepening industry-education integration and enhancing the alignment between engineering talent cultivation and societal needs.
- Author Biographies
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- 2025-08-31
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