Open AccessComprehensive Teaching Quality Assurance with Artificial Intelligence Applications
Author(s) -
Yue Yuan
Publication year - 2020
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 - 10.1088/1742-6596/1575/1/012204
Subject(s) - quality assurance , key (lock) , function (biology) , computer science , quality (philosophy) , information assurance , engineering management , engineering , operations management , information security , computer security , philosophy , external quality assessment , epistemology , evolutionary biology , biology
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.