Comprehensive Evaluation System of Postgraduates’ Sense of Learning-Life Attainment

Shouzhen Zeng

https://orcid.org/0000-0002-3604-0843

China

Ningbo University

School of Business

School of Data Science, Jiaxing University

Jingjing Wu

China

Ningbo University

School of Business

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Accepted: 2026-02-09

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Published: 2026-03-26

DOI: https://doi.org/10.4995/muse.2026.25496
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Keywords:

graduate education, postgraduates’ sense of gain assessmen, evaluation index system, fuzzy comprehensive evaluation method

Supporting agencies:

Higher Education Research Project of Zhejiang Higher Education Association (KT2025027)

Research Project on Education Science Planning of Ningbo (2025YGH002)

Abstract:

With the rapid expansion of graduate education, the traditional evaluation model centered on academic output has become inadequate for meeting the demands of the new era. The aim of this study is to establish a scientific quality evaluation system to ensure the effectiveness of cultivating high-level talent. Firstly, a system encompassed five primary indicators, namely mentor-student relationship, school assets, personal learning state, academic achievements, and mental state, is established. Subsequently, the Analytic Hierarchy Process (AHP) is utilized to ascertain the relative importance of each indicator. Empirical evaluation is conducted using a sample of 163 valid questionnaires from five universities in Zhejiang Province. The findings of the research indicate that the overall sense of gain in graduate students’ academic and life experiences is at a “slightly above average” level. Relatively favorable evaluations are recorded for guiding relationships, school assets, and personal learning state. Conversely, relatively poor evaluations are recorded for academic achievements and mental state. The index system outlined in this article has been demonstrated to exhibit a certain degree of scientific rigor and practicality. It provides a theoretical basis and practical tools for the evaluation of the quality of graduate education, as well as for the optimization of related policies.

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