Abstract
This study uses the combination and effect evaluation of multimodal AI technology in foreign language listening and speaking teaching to explore the effectiveness of multimodal AI technology in improving students' listening and speaking ability, learning progress and interactivity. It analyzes students' academic performance, feedback from teachers and administrators, the effects of technology and users' actual experience. The research results show that multimodal AI can provide customized learning experience, greatly improve students' learning involvement and language level, and the system has demonstrated high accuracy and efficiency in the fields of speech recognition, image processing and natural language processing, achieving a significant enhancement in teaching effectiveness. This study provides scientific support for the practical application of multimodal AI in foreign language listening and speaking teaching, and provides valuable reference content for the use of technology in education and educational reform.
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Lu, M., Chang, S., & Miao, M. (2025). Integration and Effect Evaluation of Multimodal Artificial Intelligence Technology in Foreign Language Listening and Speaking Teaching. In Proceedings of The 2nd International Conference on Intelligent Education and Computer Technology, IECT 2025 (pp. 549–554). Association for Computing Machinery, Inc. https://doi.org/10.1145/3764206.3764291
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