Key Factors Influencing the Deployment of Generative Large Models in Language Teaching

Abstract

The application of artificial intelligence in educational settings holds great promise but also faces numerous challenges and critical issues. This paper provides a macro-level analysis of the factors influencing the implementation of generative large models in foreign language education. Eight dimensions are identified, each comprising multiple sub-factors. These dimensions are interwoven, interdependent, and mutually influential, collectively shaping the ecosystem for the deployment of large models in education. The paper further analyzes the complex relationship among these influencing factors. Successful implementation requires balancing technical capabilities, pedagogical needs, and external environments while continuously optimizing the model to ensure its safety and compliance, thereby facilitating widespread adoption of generative large models in specific educational contexts. It should be acknowledged that there are still many controversies and challenges in the deployment of generative large models in education.

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