Conference paper 2024

Optimization path of early childhood education professional practice model under the background of artificial intelligence

ACM International Conference Proceeding Series
Conference · pp. 65-70
Abstract

In view of the management problems of early childhood education major in universities in the era of artificial intelligence, as well as the mismatch between the artificial intelligence internship platform and the actual demand, this study combined with literature research and design of the evaluation indicators of intelligent enabling early childhood education internship software, including 3 first-level indicators, 5 second-level indicators and 12 third-level indicators. The weights of each index are determined by Delphi method and analytic hierarchy process. After the consistency test is passed, the weight of indicators at each level is determined scientifically. This paper provides a certain reference basis for finding a suitable artificial intelligence practice management platform for early childhood education in universities, and then discusses the development direction of the future practice management platform software. INTRODUCTION: This is the introductory text. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Keywords

Author Keywords

Artificial intelligence Early Childhood Education specialty optimization path pre-service education

Index Keywords

Software design Early childhood educations Optimisations Computer software selection and evaluation Early childhood education specialty Management platforms Management problems Optimization path Practice managements Pre-service education Professional practise Service educations
Author Affiliations
Guangxi Science and Technology Normal University, Laibin, Guangxi, China
Funding & Acknowledgements
Jiangxi Science and Technology Normal University, JXSTNU
Grant: 2023GKSYGA08
This work was supported by the Guangxi Science & Technology Normal University Undergraduate Teaching Reform Project under the grant Project umber: 2023GKSYGA08. Zehao Liang is the corresponding author of this article. The authors have no relevant financial or non-financial interests to disclose. The authors have no competing interests to declare that are relevant to the content of this article.
References 10 References
1 Parallel Conference on Artificial Intelligence and Digital Ethics Held Eb Ol, (2024)
2 Ministry of Education on Strengthening Students Education Practice Eb Ol, (2024)
3 Educational Science Forum
4 Science Tribune
5 Bezaire, Kimberly P., Stop ‘under-mind-ing’ early childhood educators: Honouring subjectivity in pre-service education to build intellectual and relational capacities, Contemporary Issues in Early Childhood, 23, 4, pp. 435-451, (2022)
6 Master of Practice Management Mechanism of Early Childhood Education in Higher Vocational Colleges, (2017)
7 Adult Education in China, (2023)
8 Computer Knowledge and Technology, (2019)
9 Chemical Education Chinese and English
10 Sports Study
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