Teaching Quality Evaluation Method Based on Bp Network in Virtual Reality Environment

Authors

  • Suran Kong

Abstract

Facing the modern development of school education and the requirements of the new national curriculum reform, the current mainstream classroom teaching evaluation standards are increasingly exposed problems and deficiencies. At present, there are three important aspects in our country: research paradigm transformation, research function evaluation. According to the requirements of teaching evaluation of the Ministry of education, this paper establishes the evaluation index system of classroom teaching quality in Colleges and universities, which takes the supervision experts of colleges and departments and students as the main body of evaluation, and applies the fuzzy comprehensive evaluation method of BP neural network set to the evaluation of teaching quality in Colleges and universities, and establishes a two-level fuzzy comprehensive evaluation model. The results show that: the evaluation standard of classroom teaching must define the scope of scientific research of classroom teaching, and establish the basic proposition that the evaluation standard of classroom teaching should adhere to. The research results have a certain reference value for the research of teaching quality evaluation method based on BP network..

Published

2020-12-01

Issue

Section

Articles