Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

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Preference and Optimization Strategies for Primary and Secondary School Students’ Choice of Research Travel Policy Tools

Quantitative Analysis Based on 22 Provincial Policy Texts

Authors
Hanmei Li1, Jiaming Sun2, *
1Shaoguan University School of Marxism, Shaoguan, 512005, China
2Shaoguan University School of Education Science, Shaoguan, 512005, China
*Corresponding author. Email: 236852899@qq.com
Corresponding Author
Jiaming Sun
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_21How to use a DOI?
Keywords
Insert Policy Tools; Research Travel for Primary and Secondary School Students; Choice Preferences; Optimization Strategy
Abstract

Study travel for primary and middle school students plays an important role in connecting school and after-school education, and is an important way to implement the fundamental task of moral education and deepen comprehensive practice education. Using the two-dimensional analysis framework of policy tools and content elements, the measurement and content analysis of the research travel policies of 22 provincial governments. The study found in the dimension of policy tools, the provincial governments overuse Command Type and Symbol-exhortation policy tools, the proportion of System-transformation and Incentive tools is small; in the dimension of content elements, the adaptation of policy elements and policy tools is insufficient, the choice preference of policy tools has short-term effect. Optimize the combination of policy tools, effectively realize the complementary role of policy tools; match policy tools and content elements to increase the supply of policy tools for weak links; select policy tools to take into account long-term benefits and improve the policy system of study travel.

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 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_21How 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  - Hanmei Li
AU  - Jiaming Sun
PY  - 2024
DA  - 2024/11/13
TI  - Preference and Optimization Strategies for Primary and Secondary School Students’ Choice of Research Travel Policy Tools
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 220
EP  - 231
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_21
DO  - 10.2991/978-94-6463-562-1_21
ID  - Li2024
ER  -