Innovative Strategies for Artificial Intelligence-Enabled Language Laboratory Teaching in the Context of Educational Modernization

With the development of science and technology, artificial intelligence has risen in the field of education, bringing new opportunities and challenges to language laboratory teaching. This study aims to explore effective strategies for language laboratory teaching from the perspective of artificial intelligence to improve teaching quality. Through theoretical analysis and practical cases, the application principles, personalized learning theories and strategy applications of artificial intelligence in language laboratory teaching are elaborated, including the innovative application of intelligent teaching platforms and the use of intelligent evaluation and feedback mechanisms. The practical effects of artificial intelligence in language laboratory teaching are analyzed, such as improving learning efficiency and effectiveness and creating rich learning resources and environments. Finally, the research conclusions are summarized, and the future research directions are prospected, including technological innovation and integration, deepening of personalized learning, transformation and development of teachers' roles, and education equity and popularization.