International Journal of Education and Teaching
|
Volume 4, Issue 2, December 2024 | |
Research PaperOpenAccess | |
Utilizing Baidu Index Data to Explore the Spatiotemporal Characteristics of Public Concern towards Students of Government-Funded Pre-service Teacher Education |
|
1PhD candidate, Center for Studies of Education and Psychology of Ethnic Minorities in Southwest China, Southwest University, Chongqing, China. E-mail: yingzhang96@outlook.com
*Corresponding Author | |
Int.J.Edu. and Teach. 4(2) (2024) 25-38, DOI: https://doi.org/10.51483/IJEDT.4.2.2024.25-38 | |
Received: 19/11/2024|Accepted: 21/12/2024|Published: 31/12/2024 |
Purpose: This paper aims to clarify the temporal and spatial characteristics of public attention to the Students of Government-funded Pre-service Teacher Education (SGPTE) network over the past decade. Methods: The Baidu Index was used to obtain attention for the keyword “SGPTE” from January 1, 2014, to November 1, 2024. The characteristics of the SGPTE network attention were analysed from three aspects: trend research, demand map, and user portrait. Results: From the perspective of trend research, the overall trend of the SGPTE network attention search index fluctuated upward, with peaks in June and July each year. The demand map analysis indicates that the public is primarily concerned with policy interpretation, career development, and a comparative analysis of other standard policies within the SGFPTE. The user portrait reveals that Shandong Province is primarily home to the group paying high attention to the SGPTE, primarily consisting of women and those under 19. Conclusion: The changing trend of SGPTE network attention closely correlates with social background and policy promulgation.
Keywords: Student of government-funded pre-service teacher education, Student of free teacher education, Baidu index, Big data, Network attention
Full text | Download |
Copyright © SvedbergOpen. All rights reserved