Open AccessFramework of the Teaching Process Based on Machine Learning and Innovation Ability Cultivation in Big Data Background
Author(s) -
Aisheng Dong,
Qian Gao
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 - 10.1088/1742-6596/1992/4/042069
Subject(s) - process (computing) , big data , artificial intelligence , task (project management) , quality (philosophy) , computer science , key (lock) , engineering management , knowledge management , engineering , systems engineering , philosophy , epistemology , operating system , computer security
Human beings have experienced agricultural, industrial and information society, followed by the era of artificial intelligence. The remarkable features of the era are big data and machine learning. It is an important task to cultivate high-tech innovative talents for colleges and universities in era of artificial intelligence background. So how to combine machine learning methods with training of innovation ability in the teaching process to improve the quality of talent training is a key problem in college teaching. To this end, a new teaching process framework based on machine learning and innovation ability cultivation is proposed, which lays a solid foundation for improving teaching quality.