Open AccessThe Reform of Teaching Management Mode Based on Artificial Intelligence in the Era of Big Data
Author(s) -
Diao Shan-hui
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 - 10.1088/1742-6596/1533/4/042050
Subject(s) - big data , curriculum , computer science , learning management , management styles , quality (philosophy) , data collection , management system , sample (material) , mode (computer interface) , mathematics education , data management , knowledge management , engineering management , psychology , engineering , pedagogy , multimedia , sociology , public relations , political science , operations management , social science , human–computer interaction , philosophy , chemistry , epistemology , chromatography , data mining , operating system
To integrate AI into teaching management can optimize teaching tools, improve teaching efficiency, and ultimately improve teaching quality, so as to cultivate more excellent talents in line with market demand. The purpose of this paper is to study the reform of teaching management mode based on artificial intelligence in the era of big data. After understanding the characteristics of teaching management in the era of big data, this paper studies the reform of management mode of intelligent teaching and intelligent learning. Taking a comprehensive university as the research sample, this paper discusses the impact of MOOC on university teaching management through questionnaire survey and focus interview, and puts forward new ideas on how to better adapt to the development of education in the new era. The results show that the number of dissatisfied students is generally higher than the number of satisfied students in the freedom of major choice, curriculum choice, teacher choice and learning style choice. Only 16.09% of the students think that they have a high degree of freedom in these aspects. MOOC relies on advanced information technology to form a vivid information collection, which can help the management of college students change from unified management to personalized management.