Design of English teaching system using Artificial Intelligence
参考中译:基于人工智能的英语教学系统设计


          

刊名：Computers and Electrical Engineering
作者：Yuling Zhang（Pingxiang Health Vocational College）
Jinping Cao（Pingxiang College）
刊号：738C0073
ISSN：0045-7906
出版年：2022
年卷期：2022, vol.102
页码：108115-1--108115-12
总页数：12
分类号：TP39
关键词：Artificial intelligence；Internet of things video；Interpolation method；Teaching；Video processing
参考中译：人工智能；物联网视频；插值法；教学；视频处理
语种：eng
文摘：The process of English teaching is significantly affected by various technological advancements like the Internet of Things Video (IoTV). We start with the analysis of the actual teaching process of English and the direction of student feature recognition. We explore the IoTV reform to use the interpolation method for the student image-based feature recognition algorithm. Accordingly, we discover an intelligent algorithm for student feature recognition to improve the effectiveness of the IoTV. The intelligence algorithm for student feature recognition is designed using the Artificial Intelligence (AI) method. The proposed model combines voice recognition and text-to-speech technology to create functional modules of an English teaching system that change the traditional teaching mode and adjust teaching strategies in real-time based on student status based on feature recognition. Finally, this study demonstrates the practical effect of AI on the IoTV system through student feature recognition and classroom instruction assessment. Experiment outcomes reveal the efficiency of the AI-based IoTV system.
参考中译：物联网视频(IoTV)等各种技术的进步对英语教学过程产生了重大影响。我们从分析英语教学的实际过程和学生特征识别的方向入手。我们探索了在IoTV改革中使用插值法进行基于学生图像的特征识别算法。因此，我们发现了一种智能的学生特征识别算法，以提高IoTV的有效性。利用人工智能方法设计了学生特征识别的智能算法。该模型结合语音识别和文语转换技术，构建了一个英语教学系统的功能模块，改变了传统的教学模式，并基于特征识别根据学生身份实时调整教学策略。最后，本研究通过学生特征识别和课堂教学评估展示了人工智能在IoTV系统中的实际效果。实验结果表明了基于AI的IoTV系统的有效性。



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