Open AccessResearch on key Technology of Classroom Teaching Evaluation Based on Artificial Intelligence
Author(s) -
Huatao Zhou,
Jie Lü,
Yulan Huang,
Yu Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1757/1/012014
Subject(s) - construct (python library) , computer science , quality (philosophy) , evaluation methods , process (computing) , perspective (graphical) , humanism , key (lock) , artificial intelligence , theory of multiple intelligences , teaching method , mathematics education , psychology , engineering , computer security , philosophy , epistemology , law , political science , reliability engineering , programming language , operating system
There are many defects in current classroom teaching evaluation, which is not conducive to the implementation of quality education. Therefore, the AI-based classroom teaching evaluation technology is proposed, using artificial intelligence theory, from the perspective of serving quality education, analyzing the problems in teaching evaluation, exploring effective classroom teaching evaluation, and ultimately promoting the development o f students. Starting from the theory of artificial intelligence, it discusses the necessity of constructing a multi-evaluation system for the teaching process, which improves students’ language application ability and humanistic quality, and applies artificial intelligence theory to construct teaching from the aspects of evaluation methods, evaluation methods, evaluation objects, and evaluation subjects. Evaluation System. Experimental results show that this technology can accurately evaluate teaching effects and improve teaching quality