Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)

Research on the Reform of Education and Teaching Methods in the Era of Artificial Intelligence

Authors
Yiqiang Han
Corresponding Author
Yiqiang Han
Available Online 16 December 2020.
DOI
https://doi.org/10.2991/assehr.k.201214.065How to use a DOI?
Keywords
Artificial intelligence, education, teaching, reform
Abstract
With the development and application of artificial intelligence technology, human society has gradually entered the era of artificial intelligence, which will inevitably have a profound impact on the field of education. The purpose of this study is to explore the path and method of promoting education and teaching reform in the era of artificial intelligence through theoretical and technical analysis. Based on the analysis of education reform, distributed cognition, technology innovation and other theories, this study summarizes the theoretical path to promote the combination of artificial intelligence and education and teaching reform. It is found that natural language processing, big data analysis, computer vision, speech recognition and machine learning can promote the application of artificial intelligence technology in education and teaching reform, and these technologies establish a technical path for the reform of education and teaching. Combined with the above analysis, this paper puts forward the methods of education and teaching reform in the era of artificial intelligence from five aspects: subject setting, curriculum construction, course content, teaching staff and teaching implementation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Yiqiang Han
PY  - 2020
DA  - 2020/12/16
TI  - Research on the Reform of Education and Teaching Methods in the Era of Artificial Intelligence
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 338
EP  - 342
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.065
DO  - https://doi.org/10.2991/assehr.k.201214.065
ID  - Han2020
ER  -