The Reform of Classroom Teaching Quality Evaluation Based on Analytic Hierarchy Process and Convolutional Neural Network

被引:0
|
作者
Zhao, Jinku [1 ]
机构
[1] Sichuan Tourism Univ, Sch Informat & Engn, Chengdu 550014, Sichuan, Peoples R China
关键词
Analytic hierarchy process; convolutional neural network; teaching quality; evaluation model; THINK;
D O I
10.1142/S146902682342004X
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Classroom teaching evaluation is one of the important contents of the new round of basic education curriculum reform in China. The new curriculum reform puts forward new requirements for the construction of the teaching evaluation system: promoting the all-round development of students, promoting the continuous improvement of teachers' level, and promoting the curriculum of continuous development. However, from the current situation of the implementation of the new curriculum, the original teaching evaluation system is far from the requirements of the new curriculum reform, and does not have much practical value, and cannot provide strong support for the new curriculum reform. If it is not reformed, it will inevitably have a negative impact on the overall promotion of curriculum reform. How to improve classroom teaching evaluation under the background of the new curriculum reform, and how to establish a teaching evaluation scale and system suitable for the new curriculum reform, so as to play the role of evaluation in guiding, motivating and promoting, is an urgent problem to be solved at present. By referring to the relevant literature, the concepts of evaluation, teaching evaluation and classroom teaching evaluation are defined and discussed, and the object of classroom teaching evaluation is clarified.
引用
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页数:18
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