College Foreign Language Teacher Learning in the Context of Artificial Intelligence

This study adopts a combination of quantitative and qualitative meth-ods, uses the “teacher learning questionnaire” and interviews to explore and ana-lyze the composition, characteristics and impact of AI on teacher learning of 148 college foreign language teachers in the context of AI language learning. The results are as follows: college foreign language teachers’ learning includes three dimensions: intrinsic motivation, organizational support, and feedback and evalu-ation, and the participants’ intrinsic motivation and feedback and evaluation reach the high-frequency experience level; the characteristics of college foreign language teachers’ learning are ecological orientation, practical orientation and individual orientation; artificial intelligence technology guarantees the autonomy of teachers’ learning through learner characteristics, supports the normalization of teachers’ learning through effective supply of learning resources, and improves the collaboration of teachers’ learning through virtual teaching and research rooms. Artificial intelligence integrates information technology and education, which helps to deepen and expand the research on teacher learning. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.