Although the research results of mobile teaching mode at home and abroad have been involved in all aspects of education and teaching and provided a lot of useful reference for subsequent researchers, the lack of research on WeChat interactive translation teaching mode makes the practical research in this field urgent. As China’s education industry continues to pursue international development, it is necessary to train a large number of international talents who have an international perspective, are familiar with international rules, and can participate in international affairs and international competition. However, to become an international talent, you must first have superior English communication skills and be able to deal with various international situations proficiently. The English education goals at the basic education stage are simply beyond reach and can only be cultivated through professional and systematic college English courses. This shows that college English education is at a crucial position in the future development of education. This study attempts to explore how to apply the interactive teaching mode supported by WeChat network platform in translation teaching and English learning of high school students, so as to improve students’ autonomy in translation practice, promote students’ personalized learning, and improve students’ interest and ability in English learning. Based on the investigation of a senior high school in our city, the school began to implement the interactive translation mobile teaching mode based on WeChat in September 2018. The experiment selected the change of students’ English learning achievements in a certain semester and judged whether the mobile teaching mode was conducive to the improvement of learning performance based on t-test. We also need to collect the needs of teachers and parents for the WeChat based mobile teaching mode and judge whether the mode can be promoted. The experimental results show that this teaching mode has an obvious effect on the improvement of students’ English scores, especially in the eighth grade, whose scores have increased from 72.6 to 75. Through the construction of WeChat based interactive translation mobile teaching mode, parents can fully understand the key points of English learning and make English tutoring more targeted and timely. This teaching mode is worthy of promotion in senior high school English course learning.

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.

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