Fuzzy Measurement Models for Assessing the Competency of Master's Mentors in Colleges and Universities

  • Hui Xu, Liwen Zeng, Hua Yin
Keywords: Competency of Master’s Mentors, Fuzzy Measurement, Fuzzy Multivariate Decision Model, MATLAB.

Abstract

The increasing number of postgraduate students in Chinese universities has led to concerns with regards to the quality of education they receive. Tutors play an important role in guiding master’s students through their studies and ensuring they are taught effectively. The competency of master's mentors for these posts is one of the key elements that affect the quality of these students’ educational experience. There are many complex factors that go into assessing competency for a position. Establishing a quantitative measure of fuzzy uncertainty is a difficult problem for researchers examining the competency of master's mentors for their posts. In order to address this problem, this paper focuses on the competency levels of master’s mentors at the University of Guangdong. Firstly, it constructs both the measurement index system and the fuzzy measurement model to evaluate levels of competency. Secondly, it analyses competency by way of a decision support system developed through MATLAB, and verifies the validity, scientific nature, reliability and applicability of the model. Thirdly, it examines the current situation, common problems and factors that influence the competency of master’s mentors in posts at colleges and universities. Finally, in response to these, it proposes corresponding countermeasures and offers several suggestions. In summary, it provides a new and theoretically robust scientific research method for evaluating the competency of postgraduate mentors in positions at colleges and universities.

Published
2020-09-24
How to Cite
Hui Xu, Liwen Zeng, Hua Yin. (2020). Fuzzy Measurement Models for Assessing the Competency of Master’s Mentors in Colleges and Universities. Design Engineering, 581 - 598. https://doi.org/10.17762/de.vi.251
Section
Articles