Quantitative Analysis of Influential Factors on Learning Engagement in Rural Teacher Education Programs
DOI: https://doi.org/10.62517/jhet.202515104
Author(s)
Mei Wang, Wen Qin*, Congying Wang
Affiliation(s)
School of Educational Science, Yangzhou University, Yangzhou, Jiangsu, China
*Corresponding Author
Abstract
This study employs a quantitative approach to investigate the learning engagement of students in rural normal universities, set against the backdrop of broader policy initiatives aimed at improving the quality of rural education. It examines the cognitive, emotional, and behavioral dimensions of engagement, revealing significant differences based on factors such as grade level, urban-rural background, and family socioeconomic status. Through regression analysis, the study identifies key factors influencing student engagement, including family background, curriculum rigor, institutional support, learning motivation, and interpersonal relationships. The findings highlight the unique challenges and opportunities faced by rural teacher education programs, emphasizing the need for targeted strategies to enhance cognitive engagement and improve educational outcomes. By providing empirical evidence, this research contributes to discussions on teacher education reform and offers valuable insights for policymakers and educators committed to cultivating effective rural educators and addressing educational opportunity and quality gaps.
Keywords
Rural Teacher Education; Learning Engagement; Cognitive Engagement; Teacher Preparation; Educational Policy; Quantitative Research
References
[1] Feng, Y., & Liu, K. (2019). Public normal education collaboration: Value, experience, and needs. University Education Science, 2019(05), 68-74 + 81.
[2] Wu, Y. (2021). Research on the current situation and countermeasures of rural teachers [Doctoral dissertation, Yangzhou University].
[3] Connell, J. P. (1990). Context, self, and action: A motivational analysis of self-system processes across the life span. Journal of Educational Psychology.
[4] Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109.
[5] Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3, 71-92.
[6] Kuh, G. D. (2001). Assessing what really matters to student learning: Inside the national survey of student engagement. Change: The Magazine of Higher Learning, 33(3), 10-17.
[7] Roblyer, M. D., & Wiencke, W. R. (2004). Exploring the interaction equation: Validating a rubric to assess and encourage interaction in distance courses. Journal of Asynchronous Learning Networks, 8(4), 24-37.
[8] Fang, L., Zhang, F. (2008). Credit validity of the Chinese version. Chinese Journal of Clinical Psychology, 16(06), 618-620.
[9] Shi, J., Luo, Y., & Zhao, L. (2014). Undergraduate education: Quality and evaluation (2009-2011). Education Science Press, 33-41.
[10] Liu, Y. (2014). Research on the learning investment of normal university students in S University [Doctoral dissertation, Shanghai Normal University].
[11] Tan, Z., Liu, Y., & Tu, P. (2021). The impact of parent-independent support on learning input in migrant children: The mediating role of basic psychological needs. Basic Education, 18(01), 73-80.
[12] Zhang, K., Li, Y., & Chen, K. (2023). Mechanism of emotional experience and interaction patterns on emotional engagement in cooperative learning. Modern Foreign Language, 46(03), 371-383.
[13] Hagenauer, G., Hascher, T., & Volet, S. E. (2015). Teacher emotions in the classroom: Associations with students' engagement, classroom discipline, and the interpersonal teacher-student relationship. European Journal of Psychology of Education, 30, 385-403.
[14] Shernoff, D. J. (2013). The nature of engagement in schools. Springer.
[15] Wu, M. (2000). SPSS statistical application practice. China Railway Press.
[16] Tinsley, H. E. A., & Tinsley, D. J. (1987). Uses of factor analysis in counseling psychology research. Journal of Counseling Psychology, 34(4), 414.
[17] Nystrand, M., & Gamoran, A. (1991). Instructional discourse, student engagement, and literature achievement. Research in the Teaching of English, 261-290.
[18] Yang, Y. (2019). Study on study investment and influencing factors of international students in China [Doctoral dissertation, Northeast Normal University].
[19] Li, J. (2022). Research on the relationship between mathematics achievement goals, self-efficacy of mathematics study, and mathematics learning investment of middle school students [Doctoral dissertation, Southwest University].
[20] Furrer, C., & Skinner, E. (2003). Sense of relatedness as a factor in children's academic engagement and performance. Journal of Educational Psychology, 95(1), 148.
[21] Cui, W. (2012). Research on the current situation and countermeasures of contemporary college students' learning investment. Exploration of Higher Education, 128(06), 67-71 + 143.
[22] Liao, Y. (2011). Preparation and status survey of college students' study input questionnaire. Journal of Jimei University (Education Science Edition), 12(02), 39-44.
[23] Wang, Y. (2015). The characteristics of teachers and their relationship with academic achievement and learning investment. Heilongjiang Higher Education Research, 259(11), 96-100.
[24] Tan, X., Hou, X., & Lu, L. (2017). Research on pre-service training of creative teachers. Southwest Jiaotong University Press.
[25] Conger, R. D., & Donnellan, M. B. (2007). An interactionist perspective on the socioeconomic context of human development. Annual Review of Psychology, 58, 175-199.
[26] Shi, L., Chen, Y., & Hou, X. (2013). Relationship between family socioeconomic status and learning input: The mediating role of academicself-efficacy. Psychological Development and Education, 29(01), 71-78.
[27] Cui, D. (2012). Case study of the relationship between family background and university major choice intention of urban and rural high school students [Doctoral dissertation, Northeast Normal University].
[28] Liu, Y., & Yang, Y. (2019). Evaluation of university course teaching quality based on learning input: Based on the empirical study of 17 undergraduate universities in East China. Research on Educational Development, 38(09), 27-33.
[29] Luo, Y., Shi, J., & Tu, D. (2009). Survey report of undergraduate education of Tsinghua University (2009): Compared with the top research universities in the United States. Education Research, Tsinghua University, 30(05), 1-13.
[30] Wang, S. (2011). Based on the data analysis of the "Learning Situation Survey of Chinese College Students" in 2009. Education Research, Tsinghua University, 32(04), 24-32.
[31] Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369-386.
[32] Raza, S. A., Qazi, W., & Umer, B. (2020). Examining the impact of case-based learning on student engagement, learning motivation, and learning performance among university students. Journal of Applied Research in Higher Education, 12(3), 517-533.
[33] Long, S. (2021). Study on the regulatory matching effect of task objective framework, emotion and college students' learning input. Enterprise Management Press.
[34] Wang, J. (2007). Research on the relationship between teachers and students, learning motivation, and their relationship among college students [Doctoral dissertation, Central China Normal University].
[35] Schon, D. A. (1983). The reflective practitioner: How professionals think in action. Jossey-Bass Publishers.