Comprehensive Teaching Quality Assurance with Artificial Intelligence Applications

Abstract

Establishing the teaching quality assurance system is a key aspect to realize the cultivation objectives of talents of higher education. This paper first discusses the composition, function and evaluation subjects of the comprehensive teaching quality assurance system. Secondly, the novel techniques of applying artificial intelligence to the diagnosis and mining of teaching state information is explored in detail, which constitutes scientific evidence for continual improvement of teaching.