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Evaluation reveals improved teaching quality and satisfaction in English–Chinese interpreting, suggesting advancements over traditional and AI models.
Taking the cloud computing-based English–Chinese interpreting collaborative teaching platform as the research object, this paper systematically evaluates and analyzes it from four aspects, namely, technological performance, teaching function, teaching effect, and teaching features and compares it with the traditional model and the model based on AI platform. The experimental results show that the English–Chinese Interpreting Collaborative Teaching Platform based on Cloud Computing shows obvious advantages in all aspects and is able to provide more advanced, efficient and effective teaching support for interpreting teaching, promote the improvement of teaching quality and teaching satisfaction of interpreting teachers and students, and promote the reform and innovation of interpreting teaching. This paper provides an in-depth analysis of the development principle, functional design, technical realization path, and its practical application effect of the English–Chinese Interpreting Collaborative Teaching Platform based on cloud computing, which provides a new perspective and effective strategy for the modern reform and development of English–Chinese interpreting teaching.
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Jie Zhang (2025) studied this question.
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