Research on the Future Forest-Style Education Construction Based on Data Processing and SWOT Analysis
- DOI
- 10.2991/978-94-6463-058-9_90How to use a DOI?
- Keywords
- Future Forest-Style Education; Future Education; SPSS analysis; Data processing; SWOT analysis
- ABSTRACT
On March 5, 2022, the Government Work Report of the two sessions of the National People's Congress pointed out that it is necessary to build sports facilities around the masses, and determined the important position of forest education construction in the government work. In this paper, through market survey and data processing by SPSS, the data shows the basic situation and development prospects of the Future Forest-Style Education Construction. The research involved 23 relevant institutions in Hubei Province, that respond to the questionnaire on the current status of the Future Forest-Style Education Construction in Hubei Province. Using SWOT analysis, the development path of the Future Forest-Style Education Construction is discussed from the strengths, weaknesses, opportunities and threats, and put forward targeted policy suggestions.
- Copyright
- © 2023 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 - Lingshan Li AU - Fenling Ji PY - 2022 DA - 2022/12/27 TI - Research on the Future Forest-Style Education Construction Based on Data Processing and SWOT Analysis BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 560 EP - 565 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_90 DO - 10.2991/978-94-6463-058-9_90 ID - Li2022 ER -