Evaluation of influencing factors of China university teaching quality based on fuzzy logic and deep learning technology.

ABSTRACT: Nowadays, colleges and universities focus on the assessment model for considering educational offers, suitable environments, and circumstances for students' growth, as well as the influence of Teaching Quality (TQ) and the applicability of the skills promoted by teaching to life. Teaching excellence is an important evaluation metric at the university level, but it is challenging to determine it accurately due to its wide range of influencing factors. Fuzzy and Deep Learning (DL) approaches must be could to build an assessment model that can precisely measure the teaching qualities to enhance accuracy. Combining fuzzy logic and DL can provide a powerful approach for assessing the influencing factors of college and university teaching effects by implementing the Sequential Intuitionistic Fuz

SUBMITTER: Yu J 

PROVIDER: S-EPMC11379294 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature