Exploration of English teaching models integrating artificial intelligence, big data, and internet of things

With the rapid change of science and technology, the deep integration of artificial intelligence, big data, and Internet of Things has given rise to many innovative applications in various fields. In the field of education, this phenomenon of technological integration provides unprecedented opportunities for the reform and upgrade of the teaching mode. Especially in the field of English teaching, how to effectively integrate these three cutting-edge technologies into the teaching process in order to improve the quality of teaching, optimize the learning experience and realize personalized education has become an important topic that needs to be studied urgently. The purpose of this thesis is to explore the integration and utilization strategies of artificial intelligence, big data, and Internet of Things in English teaching, and to conceptualize a corresponding teaching model framework. Based on the results of theoretical analysis and empirical research, this study innovatively design an English teaching model framework integrating AI, Big Data, and IoT technologies, which covers multiple dimensions such as teaching goal setting, teaching content planning, teaching method selection, teaching evaluation system establishment, and teaching management strategies, etc., and provide detailed explanations and demonstrations in combination with actual teaching cases. Moreover, through experimental research, this study compare and analyze the differences between this new English teaching model and the traditional teaching model in terms of teaching effect enhancement and learning experience optimization. The experimental results show that this new English teaching mode can significantly improve learners’ English proficiency, learning efficiency, learning enthusiasm, and learning satisfaction, which is better than the traditional teaching mode, situational teaching mode, and flipped classroom mode. The results of the content analysis show that learners’ views and suggestions on this new English teaching model mainly focus on personalization, intelligence, high flexibility, fun, challenging, helpful, and sense of accomplishment, reflecting the advantages and limitations of this new English teaching model. The fusion of AI, big data, and IoT in English education marks a pivotal leap in tech-driven pedagogy, revolutionizing language learning. Our study targets the shortcomings of conventional methods, aiming to cultivate a dynamic, tailored, and efficacious learning milieu for students. The model’s novelty stems from its holistic integration of AI analytics, data-informed choices, and IoT-optimized spaces, enriching the dialogue on educational modernization and amplifying teaching efficacy.