Research on Literature Data Analysis of Ideological and Political Education in Curriculum
DOI:
https://doi.org/10.54691/58drh792Keywords:
Ideological and Political Education in Curriculum, Data Analysis, Web Crawling, Data Visualization.Abstract
The quantitative study of literature on ideological and political education in curriculum helps to gain a deeper understanding of the research trends and progress in its construction, clarify research priorities, scopes, and theoretical frameworks, and provides guidance for enhancing the quality of talent cultivation. This paper employs the Scrapy crawling framework of Python to specifically crawl data on ideological and political education in curriculum literature, storing it in a MySQL database to construct a comprehensive and accurate literature database. The research utilizes ECharts for quantitative data visualization analysis, intuitively displaying research hotspots, trends, and shortcomings through visual charts, thus providing data support for researchers. Finally, a detailed comparative analysis is conducted based on the quantitative results, revealing key issues and potential opportunities, clarifying future research directions, and promoting the improvement of the theoretical system and the deepening of practical applications of ideological and political education in curriculum.
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[1] Liu, Xu, Zhao Xiantong, and Hugh Starkey. "Ideological and political education in Chinese Universities: structures and practices." Asia Pacific Journal of Education 43.2 (2023): 586-598.
[2] Gao, Hui-Wen. "Innovation and development of ideological and political education in colleges and universities in the network era." International Journal of Electrical Engineering & Education 60.2_suppl (2023): 489-499.
[3] Khder, Moaiad Ahmad. "Web scraping or web crawling: State of art, techniques, approaches and application." International Journal of Advances in Soft Computing & Its Applications 13.3 (2021).
[4] Kaiying, Deng, Chen Senpeng, and Deng Jingwei. "On optimisation of web crawler system on Scrapy framework." International Journal of Wireless and Mobile Computing 18.4 (2020): 332-338.
[5] Fan, Luqiao, Banxiang Duan, and Jie Gao. "Data Visualization Analysis of JD Mobile Phone Based on Python and ECharts and Bootstrap." Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023). Atlantis Press, 2023.
[6] Moresi, Eduardo Amadeu Dutra, Isabel Pinho, and António Pedro Costa. "How to operate literature review through qualitative and quantitative analysis integration?." World Conference on Qualitative Research. Cham: Springer International Publishing, 2022: 194-210.
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