Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)

Research on the Innovation Path of Big Data Application Professional Courses Based on AIGC Big Model

Authors
Yating Zheng1, *, Fang Meng1
1GUANGZHOU CITY POLYTECHNIC, Guangzhou, China
*Corresponding author. Email: zhengyating@gcp.edu.cn
Corresponding Author
Yating Zheng
Available Online 31 October 2024.
DOI
10.2991/978-2-38476-297-2_50How to use a DOI?
Keywords
AIGC; big models; big data courses; code generation
Abstract

As an important branch of artificial intelligence, the AIGC (Artificial Intelligence Generated Content) model has brought profound impacts to various industries with its powerful data processing and content generation capabilities. How to effectively introduce and integrate the AIGC big model in vocational big data technology courses is still in the exploratory stage of application in the teaching field. This article combines the research and evaluation of the AIGC big model with the specific integration of big data technology courses to develop suitable teaching methods and strategies, such as project driven, case studies, etc.

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 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 October 2024
ISBN
978-2-38476-297-2
ISSN
2352-5398
DOI
10.2991/978-2-38476-297-2_50How 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

TY  - CONF
AU  - Yating Zheng
AU  - Fang Meng
PY  - 2024
DA  - 2024/10/31
TI  - Research on the Innovation Path of Big Data Application Professional Courses Based on AIGC Big Model
BT  - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)
PB  - Atlantis Press
SP  - 403
EP  - 409
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-297-2_50
DO  - 10.2991/978-2-38476-297-2_50
ID  - Zheng2024
ER  -