Teacher Emotional Support and Academic Outcomes of Migrant Children in Urban China: A Qualitative Study


  •  Yan Wu    
  •  Yufei Zhang    
  •  Shiya Lin    
  •  Dandan Xie    
  •  Guangmei Huang    
  •  Baoxin Zhou    

Abstract

As China undergoes rapid urbanization, millions of children from migrant families face challenges integrating into urban education systems. Teacher emotional support plays a potentially significant role in the academic development of these children, yet its specific effects remain underexplored. This study employs grounded theory methodology to examine the perceptions of 5 fifth-grade migrant children in a public primary school in Guangzhou, China. Data were collected through semi-structured interviews and analyzed via open and axial coding. We find that academic-oriented emotional support from teachers, including classroom participation, academic expectations, and engaging teaching strategies, positively influenced children’s motivation and academic performance. Conversely, insufficient emotional availability, uneven attention, and negative emotional expression from teachers hindered student engagement. Many children relied on peers, parents, or technology for support due to limited access to their teachers. The study reveals an imbalance in teacher support, with academic performance prioritized over emotional well-being. Holistic teacher training and educational policy reforms are needed to better support the dual academic and emotional needs of migrant children.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1916-4742
  • ISSN(Online): 1916-4750
  • Started: 2008
  • Frequency: monthly

Journal Metrics

Citation Metrics (for informational purposes only; sourced from Google Scholar as of May 2026):

1. Citations (May 2026): 112462

2. h-index (May 2026): 145

3. i10-index (February 2025): 1811

*Note: Citation metrics vary significantly across indexing platforms. These figures are provided transparently and should not be used for cross-database comparisons. For methodological details, please refer to the official  Google Scholar Metrics documentation.

Contact