Exploring the Influence of Internet Usage Attitudes on Educational Equity among Chinese Migrant Workers: A Regional Analysis
DOI:
https://doi.org/10.54097/z7x2hq87Keywords:
Educational Equity, Internet Usage Attitude, Educational Gini Coefficient, Migrant WorkersAbstract
As urban builders, migrant workers (rural residents working in cities) should fairly enjoy urban educational resources. However, due to their social status, they face numerous educational challenges. This study explores how Chinese migrant workers' attitudes towards Internet usage influence educational equity, particularly in an environment where the Internet has become indispensable for learning, work, and daily life among Chinese residents. Using ANOVA and correlation analysis, the study investigates the relationship and influencing factors between migrant workers' attitudes towards Internet usage and educational equity. The research data were obtained from a 2020 survey conducted by the Peking University Chinese Social Sciences Survey Center, focusing primarily on Chinese migrant workers. The findings reveal that migrant workers' attitudes towards Internet usage significantly impact educational equity; groups that place greater emphasis on Internet usage exhibit better educational equity than others. Although the statistical differences in Internet usage attitudes among different regions are not significant, educational equity disparities among regions remain statistically significant. Based on these findings, recommendations are provided at the family, school, and government levels, aiming to address the digital divide, establish remote open education platforms, and improve the household registration system to enhance educational equity for migrant workers.
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[1] Al Otaibi, K. N. (2012). Attitudes towards the use of the Internet. Online Submission, 2(3), 151-159.
[2] Bao, L., Song, Y., & Yang, X. (2024). Examination and bridging of urban-rural digital divide under the background of rural revitalization. Central South Agricultural Science and Technology, 7, 197-200.
[3] Brandtweiner, R., Kerschbaum, J., & Donat, E. (2008). ACM: A new index to measure the digital divide. International Journal of Electronic Business, 6(6), 590-610.
[4] Bullock, D. (2004). Moving from theory to practice: An examination of the factors that preservice teachers encounter as the attempt to gain experience teaching with technology during field placement experiences. Journal of technology and teacher education, 12(2), 211-237.
[5] Chen, P., & Zhu, P. (2023). How to achieve fairness? A study on strategies to promote fairness in higher education in France. Applied Higher Education Research, (4), 89-95.
[6] Chen, R. S., & Tu, C. C. (2018). Parents’ attitudes toward the perceived usefulness of Internet-related instruction in preschools. Social Psychology of Education, 21(2), 477-495.
[7] Douglass, R. B. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
[8] Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
[9] Gao, T. (2014). Research on mechanisms and methods of using information technology to enhance balanced educational development. China Educational Technology, (01), 22-28.
[10] Günaydın, N., Kaşko Arıcı, Y., Kutlu, F. Y., & Yancar Demir, E. (2022). The relationship between problematic Internet use in adolescents and emotion regulation difficulty and family Internet attitude. Journal of community psychology, 50(2), 1135-1154.
[11] Guo, C. (2001). A perspective on the status quo of unfair education for children of migrant workers in cities. Xuehai (05), 180-184. https://doi.org/10.16091/j.cnki.cn32-1308/c.2001.05. 040
[12] Huang, G., Xing, Z., & Pan, Y. (2024). How does city size affect the social integration of migrant workers: A comparative analysis between informal and formal employment groups. Geographical Research, 4, 985-1003.
[13] Huang, C. (2020). The current situation of educational equity in Germany: Perspectives on social status, cultural background, gender differences, and regional disparities. World Education Information, (09), 25-28+52.
[14] Jing, K. (2013). Investigation of Internet behavior among senior rural primary school students (Master's thesis, Hebei University).
[15] Ke, S., & Bei, N. (2024). "Internet Plus" Empowering the Digitization Transformation of Construction Industry. Zhonghua Jian She, 4(3), 3.
[16] Lai, D., & Zheng, Q. (2005). Urbanization and educational development in contemporary China. Journal of Beijing Normal University (Social Sciences), (5), 27-35.
[17] Lei, W., & Zhang, Z. (2022). Research on the education policy for migrant workers' children from the perspective of equity. Journal of Central China Normal University (Humanities and Social Sciences), (06), 144-153. https://doi.org/10.19992/ j.cnki.1000-2456.2022.06.015
[18] Li, T. (2021). The impact of family capital on the digital divide (Master's thesis, Nanjing Normal University).
[19] Liu, H. (2023). Promoting educational equity in rural areas through distance open education in the context of lifelong learning. Journal of Jilin Radio and TV University, (5), 149-151.
[20] Ma, F. (2019). The impact of educational mismatch on the income of rural household labor force (Master's thesis, Shanxi University of Finance and Economics).
[21] Peng, C. (2019). Factors influencing information literacy of middle school students from the perspective of family environment (Master's thesis, Huazhong Normal University).
[22] Shi, Y., & Yu, H. (2021). Regional development and gender differences in higher education attainment: Insights from a national survey of 12 universities in China. University Education Science, (06), 28-40.
[23] Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the Internet, and technology in the education of young people. Technology in Society, 65, 101565.
[24] Tian, M., Tian, Z., & Sun, W. (2019). The impacts of city-specific factors on social integration of Chinese migrant workers: A study using multilevel modeling. Journal of Urban Affairs, 41(3), 324-337.
[25] Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of Internet self-efficacy. Innovations in education and Teaching International, 40(1), 43-50.
[26] Tu, W., Wang, M., Li, Y., & Nie, Y. (2022). Relationship between college students' Internet attitudes and Internet addiction: Chain mediating effects. Chinese Journal of Health Psychology, (06), 905-909. https://doi.org/10.13342/ j.cnki. cjhp.2022.06.022.
[27] Wang, G. (2021). An examination of new trends in population migration and urbanization in China: A preliminary interpretation based on the data from the seventh national census. Population and Economics, (05), 36-55.
[28] Wang, L., & Gong, S. (2013). A review of Internet self-efficacy and its influencing factors. Journal of Xinyang Normal University (Philosophy and Social Sciences Edition), (06), 53-57.
[29] Wen, L., Ding, P., & Li, L. (2023). An empirical study on the impact of educational informatization on educational equity. Teaching and Management, (36), 21-26.
[30] Wu, J., Zheng, Y., Wu, Z., Chen, N., and Xu, J. (2020). Gender differences in educational attainment and their changing trends: an analysis based on CGSS2008-2015 data. Population of Northwest, 41 (3), 104-115. https://doi.org/10.15884/ j.cnki. issn.1007-0672.2020.03.010
[31] Xiang, F. (2017). Research on cultivating college students' views on the Internet from the perspective of multiculturalism (Master's thesis, Wuhan University of Technology).
[32] Xing, Y., & Zhang, G. (2024). Analysis of the current situation and coping strategies for the development of rural education informatization. China Informatization, 6, 103-105.
[33] Yang, L., Zhang, W., & Fan, Y. (2023). A study on the impact of college students' self-efficacy on online learning performance. Journal of Jiaying University, (05), 80-87.
[34] Yu, M. (2023). The impact of online collaborative learning in network learning spaces on academic performance: The mediating role of Internet learning self-efficacy. University Education, (22), 135-138.
[35] Zhang, M., & Tu, Q. (2024). Digital technology empowering rural development: A review of progress, current challenges, and future prospects. Shandong Social Sciences, 5, 130-137. https://doi.org/10.14112/j.cnki.37-1053/c.2024.05.014
[36] Zhang, W. (2013). An analysis of educational resource allocation and policy choice in China: Based on the measurement of educational Gini Coefficient. Journal of Renmin University of China (04), 89-97.
[37] Zhang, Y., Wang, Y., and Yu, C. (2019). Education reform for the balanced development of urban and rural education: Design and practice of synchronous classroom teaching model in Xuzhou City. Modern Educational Technology, 29(06), 90-95.
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