Spatiotemporal Characteristics of Online Attention to Community Education: An Analysis of Baidu Index Data
DOI:
https://doi.org/10.12775/PPS.2025.22.61512Keywords
Community Education, Baidu Index, Lifelong Learning, Senior Universities, Data miningAbstract
This study employs the Baidu Index to analyze search behaviors related to community education from 2011 to 2024 using big data analysis. Based on the analysis of search trends, demand mapping, and demographic characteristics, it is found that community education has shown a continuous upward trend over time, with regional development imbalances in spatial distribution. The demand for community education is diversified, with the primary audience being women aged 20-49. In the future, community education needs to continue efforts in policy support, resource integration, and digital development to meet the growing learning needs of residents and promote the construction of a learning society.
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