The widespread adoption of the Internet has transformed various industries and brought about significant systemic reforms in various sectors. This transformation has increased the role of the Internet in information dissemination, resource sharing, and global connectivity, allowing for more efficient distribution of knowledge and services. The development of the Internet model and its research has brought significant benefits from the network and enabled individuals to use and learn from it. However, the traditional education model only provides limited knowledge, which limits growth and development. In addition, there is a vast world of knowledge that has not yet been discovered. Today, with the help of network tools, individuals can understand the dynamics of the entire world and embrace the culture and knowledge of different regions without going out. During the study of the problems of English heritage in different countries, efficient learning methods and high levels of English skills are the goals pursued, while the traditional English model cannot meet the learning needs of students in a short period of time. Building a data mining algorithm model based on large open network courses is a model for solving legacy problems that has been accepted both domestically and internationally. According to survey data from universities in different countries, the use of data mining algorithms can fundamentally meet the desire and demand of students for English knowledge. This research integrates data mining algorithms into English research, which fundamentally improves the problems related to English.