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Quantitative Evaluation Method of Psychological Quality of College Teachers Based on Fuzzy Logic

Liangqun Yang & Jian Li

International Journal of Information Technology and Web Engineering2024https://doi.org/10.4018/ijitwe.335486article
ABDC C
Weight
0.30

What the paper says

Based on the fuzzy method, this paper establishes a ranking model of the psychological quality of college teachers and an interception model of assessment indicators. On this basis, a quantitative evaluation method of college teachers' psychological quality is proposed by using the principles of fuzzy psychological evaluation and fuzzy recognition. According to empirical study, this evaluation approach is capable of providing a theoretical foundation for the next teacher training as well as a thorough assessment of the psychological qualities of teachers. The research concludes by pointing out that the model and evaluation approach can also be used to introduce and train university teachers, and it makes some sound recommendations for their development. An empirical study on the quantitative evaluation method of college teachers' psychological quality based on fuzzy psychological evaluation and fuzzy recognition principle is beneficial to better build the foundation of college teachers' psychological quality under the concept of harmonious education.

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https://doi.org/https://doi.org/10.4018/ijitwe.335486

Or copy a formatted citation

@article{liangqun2024,
  title        = {{Quantitative Evaluation Method of Psychological Quality of College Teachers Based on Fuzzy Logic}},
  author       = {Liangqun Yang & Jian Li},
  journal      = {International Journal of Information Technology and Web Engineering},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.4018/ijitwe.335486},
}

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Quantitative Evaluation Method of Psychological Quality of College Teachers Based on Fuzzy Logic

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.