| 英文摘要 |
In this study, the researcher conducted a statistical analysis based on data from the ''Follow-up Survey of Short-term Education Tracking in Remote Areas'' database, covering the years 2017 to 2019. The primary objective of the research was to explore the relationships between teacher-student relationships, students' self-efficacy, and students' self-concept in remote schools. The research sample comprised 969 students from remote areas, surveyed in 2019 as part of the follow-up survey. The study utilized various assessment tools, including the ''Teacher-Student Relationship Scale,'' ''Self- Concept Scale,'' and ''Self-Efficacy Scale.'' Statistical methods employed for data analysis included factor analysis, reliability analysis, descriptive statistics, independent sample t-tests, one-way ANOVA, Pearson correlation, and regression analysis. The results revealed that all variables collectively explained 39% of the variance in students' self-concept through hierarchical regression analysis. Notably, the teacher-student relationship in remote schools and students' self-efficacy were found to have significant predictive power regarding students' self-concept. Based on these findings, specific recommendations were made for students in remote schools, their families, educational authorities, and practitioners in related fields. Suggestions for future research directions were also provided. |