In the context of information education, English teaching needs to match the development of artificial intelligence to improve the intelligence of English teaching. Based on the artificial intelligence matching model, this paper constructs an English teaching reform model based on artificial intelligence algorithms. Moreover, based on the FISST multi-target tracking method, this paper firstly models the target state and measurement as RFS, and then uses the Bayesian filtering method to recursively calculate the target posterior PDF, which can estimate the number and state of targets in real time and make up for the shortcomings of traditional tracking methods. In addition, the system proposed in this article can be applied to online English teaching. Through this system, teachers can realize one-to-one matching of students, identify the status of students in time, and give corresponding English teaching methods to different students. Finally, this paper designs a controlled experiment to analyze the performance of the algorithm proposed in this paper. The research results show that the model constructed in this paper has certain practical effects.

中文翻译：

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基于人工智能匹配模型的英语教学改革研究

在信息化教育背景下，英语教学需要与人工智能的发展相匹配，以提高英语教学的智能化。基于人工智能匹配模型，本文构建了基于人工智能算法的英语教学改革模型。此外，本文基于FISST多目标跟踪方法，首先将目标状态和测量建模为RFS，然后使用贝叶斯滤波方法递归计算目标后验PDF，可以真实地估计目标的数量和状态。并弥补了传统跟踪方法的不足。此外，本文提出的系统可以应用于在线英语教学。通过该系统，教师可以实现学生一对一匹配，及时识别学生的状态，针对不同的学生给予相应的英语教学方法。最后，本文设计了一个对照实验来分析本文提出的算法的性能。研究结果表明，本文构建的模型具有一定的实用效果。