Dilemma of college English curriculum reform based on big data and Internet of Things

At present, various new technologies are applied to the reform of college English courses. Cases are also increasing. Big data technology has become the focus of most industries in the era of social media with data explosion. Its powerful data analysis and prediction capabilities provide convenience for its application. Applying big data technology to the difficulties encountered in curriculum reform will be able to efficiently and accurately solve related problems. The rapid coverage of IoT applications such as the Internet of Vehicles, smart homes, and smart cities has provided precedents for the use of IoT technology in various industries. With the rapid development of the needs of the Metaverse, it has become a trend to apply IoT technology to social and educational fields. Internet of Things technology can use various miniature portable devices to link into a body area network. The network can record the status of students when they learn English, which supports the subsequent analysis of students’ learning needs and learning effects. The analysis results can also provide more convenience for college English teachers to prepare lessons and teach. In order to investigate the current predicament of college English curriculum reform, this paper distributed 900 questionnaires to managers, teachers, and students in 20 colleges and universities, mainly through the questionnaire star online platform and offline campus distribution. Using classification and statistical algorithms to process and analyze the data, it is found that the problems existing in the current college English curriculum reform include the poor English ability of students, the heavy teaching burden of English teachers, and the lack of an effective comprehensive processing platform for English teaching information. Then, combined with big data and Internet of Things technology, we designed solutions for teachers and students’ dilemma in curriculum reform from the perspectives of platform establishment, intelligent interconnection, and data analysis.