Machine Learning and Modern Education View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Mengqiu Chai , Yun Lin , Ying Li

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. More... »

PAGES

41-46

Book

TITLE

e-Learning, e-Education, and Online Training

ISBN

978-3-319-93718-2
978-3-319-93719-9

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-93719-9_6

DOI

http://dx.doi.org/10.1007/978-3-319-93719-9_6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105221226


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