The advancement of Internet technology is promptly entering English classes, which fundamentally modifies the mode of English teaching. Internet of Things (IoT) is a better-linked and collaborative future for English education. The proliferation of smartphones and the Internet of Things (IoT) has made it easier for educational institutions to boost campus security, monitor vital resources, and broaden students' access to knowledge. Auxiliary devices and IoT devices give learners better access to everything from learning material to communication channels, and they give educators the capability to measure pupil learning process in real time. The response time is long in conventional English education, with low student satisfaction. Hence, in this study, the Internet of Things-assisted English Education Auxiliary Teaching Model (IoT-EEATM) has been proposed to increase teacher-student satisfaction. This study focuses on the education field, where the IoT can be utilized to create more important learning spaces using the Electronic Learning platform. This research suggests a system that allows learners to interact with surrounding physical objects virtually connected with a learning subject. An algorithm optimization technique is proposed, and data transformation technology is used to increase real-time teaching and management efficiency. The particle swarm optimization (PSO) algorithm further enhances the students' speculative abilities in English education. The authenticity and effectiveness of the particle swarm optimization method in the English teaching model are validated. The experimental results show that the proposed IoT-EEATM model improves student learning outcomes by 97.8%, satisfaction ratio by 96.4%, student-teacher interaction ratio by 98.8%, and participation ratio by 95.5%, reducing the execution time by 9.8% compared to other popular models.

中文翻译：

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智能物联网下英语教学辅助设备研究

互联网技术的进步正在迅速进入英语课堂，从根本上改变了英语教学模式。物联网 (IoT) 是英语教育的一个更好的链接和协作的未来。智能手机和物联网 (IoT) 的普及使教育机构更容易提高校园安全、监控重要资源并扩大学生获取知识的途径。辅助设备和物联网设备使学习者可以更好地访问从学习材料到交流渠道的所有内容，并且它们使教育工作者能够实时测量学生的学习过程。传统英语教育响应时间长，学生满意度低。因此，在本研究中，提出了物联网辅助英语教育辅助教学模式（IoT-EEATM），以提高师生满意度。本研究侧重于教育领域，物联网可用于利用电子学习平台创建更重要的学习空间。这项研究提出了一种系统，该系统允许学习者与与学习主题虚拟连接的周围物理对象进行交互。提出算法优化技术，利用数据转换技术提高实时教学和管理效率。粒子群优化（PSO）算法进一步提高了学生在英语教育中的思辨能力。验证了粒子群优化方法在英语教学模式中的真实性和有效性。