Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research and analysis on the optimization of vocational education learning platform based on the background of artificial intelligence

Authors
Liangyan Wang1, Yin Dai2, Lanxi Jia2, *
1Hotel Management Department, Chongqing Vocational Institute of Tourism, Chongqing, 409000, China
2Marxism College, Chongqing Vocational Institute of Tourism, Chongqing, 409000, China
*Corresponding author.
Corresponding Author
Lanxi Jia
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_96How to use a DOI?
Keywords
learning platform; Big data; Intelligent algorithms; Artificial Intelligence
Abstract

The learning platform model of vocational education is characterized by openness and sharing Openness is reflected in the fact that the learning platform is a collection of resources, absorbing various forms of high-quality resources, while providing universities and related institutions with better ways to cultivate talents and continuously enriching educational teaching resources. The vocational education platform is both a collector and integrator of resources, as well as a disseminator and provider of resources, constantly providing teachers and students with information resources and realizing the sharing of educational resources. New constructivism emphasizes teaching goals while paying close attention to the construction of deeper meaning. This study analyzes the optimization and creation of a new teaching platform based on the context of artificial intelligence in the new era. It explores the development of big data platforms for intelligent education and the integration of vocational education platforms in the context of big data, making certain fundamental contributions to our educational model as well as educational development, while also achieving certain breakthroughs and research results in new fields.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
978-94-6463-264-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_96How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Liangyan Wang
AU  - Yin Dai
AU  - Lanxi Jia
PY  - 2023
DA  - 2023/09/28
TI  - Research and analysis on the optimization of vocational education learning platform based on the background of artificial intelligence
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 826
EP  - 832
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_96
DO  - 10.2991/978-94-6463-264-4_96
ID  - Wang2023
ER  -