Capability Evaluation of Postgraduate Tutors Based on the Combination of Fuzzy Comprehensive Evaluation and Analytic Hierarchy Process
Authors
Demei Sun1, Yang Chen1, *, HongBin Wang1
1School of Economics and Management, Harbin Engineering University, Harbin, Heilongjiang, China
*Corresponding author.
Email: matthewchenyang@live.com
Corresponding Author
Yang Chen
Available Online 27 December 2022.
- DOI
- 10.2991/978-94-6463-058-9_56How to use a DOI?
- Keywords
- higher education; tutor Capability; fuzzy comprehensive evaluation; analytic hierarchy process; evaluation system
- Abstract
To understand the Capability of graduate tutors, after analysing the literature on the capability of tutors, analytic hierarchy process is used to construct a Capability evaluation system which contain 33 three-level indicators to evaluate the tutor’s capability level. Then this study takes five academic master tutors as examples to implement the established evaluation system. It's found that the overall level of tutor's capability needs to be improved, and the age factor is an important reference to judging tutor's capability.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Demei Sun AU - Yang Chen AU - HongBin Wang PY - 2022 DA - 2022/12/27 TI - Capability Evaluation of Postgraduate Tutors Based on the Combination of Fuzzy Comprehensive Evaluation and Analytic Hierarchy Process BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 337 EP - 343 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_56 DO - 10.2991/978-94-6463-058-9_56 ID - Sun2022 ER -