Research on the Construction of an AI-Empowered Adaptive Ecological Teaching Model for College Foreign Language Education


  •  Chao Wang    
  •  Ying Zuo    

Abstract

This study takes the "Artificial Intelligence + Education" theory as the starting point and constructs a theoretical model of adaptive ecological teaching for foreign languages in higher education within the framework of language ecological teaching theory. The proposed model has been applied to the teaching practice of foreign language general education courses. The article analyzes critical factors influencing the ecological foreign language classroom environment in the AI context, introduces construction pathways for the ecological teaching model based on AI technology, and demonstrates its positive significance for creating harmonious, efficient, and symbiotic ecological classrooms tailored to China's specific educational context. This research contributes to promoting intelligent transformation of foreign language teaching models in higher education and helps comprehensively enhance the pedagogical effectiveness of foreign language general education courses at the practical level.



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