Research Article
Machine Learning and Modern Education
@INPROCEEDINGS{10.1007/978-3-319-93719-9_6, author={Mengqiu Chai and Yun Lin and Ying Li}, title={Machine Learning and Modern Education}, proceedings={e-Learning, e-Education, and Online Training. 4th International Conference, eLEOT 2018, Shanghai, China, April 5--7, 2018, Proceedings}, proceedings_a={ELEOT}, year={2018}, month={7}, keywords={Machine learning Human brain learning Learning ability Educational technology}, doi={10.1007/978-3-319-93719-9_6} }- Mengqiu Chai
Yun Lin
Ying Li
Year: 2018
Machine Learning and Modern Education
ELEOT
Springer
DOI: 10.1007/978-3-319-93719-9_6
Abstract
Machine learning is an important branch of artificial intelligence, which simulates human’s real learning activities by machine so that the machine can acquire corresponding skills, knowledge and processing means to achieve artificial intelligence. The process of machine learning is the process of obtaining certain knowledge by a specific activity for a machine with a certain purpose, which is manifested as knowledge from unknown to known, and from the concrete to the abstract. The learning process of human brain is the process of acquiring knowledge, skills and attitudes through interaction with teachers, students and teaching information in the teaching context. It also shows the unknown and the known, and focuses on migration and application. Based on the consistency between machine learning and modern education, and based on the analysis of the theoretical basis and relationship between the two, machine learning is applied to modern education, which paves the way for the common development of the two.