Research on Professional Development Pathways for Foreign Language Teachers in Private Universities in the Age of Artificial Intelligence

In the context of rapid advancements in artificial intelligence, foreign language teachers face new challenges and opportunities for professional development. This paper draws on theories of teacher professional development, the Technology Acceptance Model (TAM), Constructivist Learning Theory and Blended Learning to systematically explore pathways and strategies for the professional development of foreign language teachers in private universities in the era of artificial intelligence. The study suggests that foreign language teachers need to continuously enhance their digital literacy and information technology application skills throughout their careers, increase their acceptance of and proficiency in using artificial intelligence technology, and transform their teaching roles to actively explore AI-based teaching models. By constructing a professional competence framework, optimising top-level design, strengthening training mechanisms, and establishing a scientific evaluation and incentive system, it is possible to effectively promote the professional growth and teaching innovation of foreign language teachers.