Engaging AI in Business English Listening and Speaking Teaching: A Case Framework
DOI:
https://doi.org/10.18063/cef.v3i5.1184Keywords:
AI, Business English Listening and Speaking, TeachingAbstract
Business English Listening and Speaking (BELS) is a core course for Business English majors, yet it has long faced dual challenges: students' low engagement and learning difficulties, alongside teachers' struggles with effective instruction. The growing application of AI in education offers new momentum and direction for reforming this course. Through concrete teaching cases, this paper demonstrates how AI can deeply participate in and enhance all phases of BELS instruction—pre-class, in-class, and post-class. Before class, AI assists teachers in generating tailored audio materials for preview and helps students overcome vocabulary barriers. During class, AI serves as a conversational partner, providing speaking practice and real-time feedback. After class, AI delivers personalized tutoring based on individual proficiency levels. Furthermore, AI transforms the course evaluation system, enabling multidimensional, comprehensive, and dynamic assessment.
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