For administrators in the eld of education, the data generated in the actual education process is di cult to achieve effective management due to its large amount of information, complex structure and multiple types. However, in the actual construction of education informatization, it is impossible to explore the laws and development trends of education information only by manual analysis, so it is di cult to obtain effective concepts and relevant views. College education administrators can not fully optimize the process of teaching diagnosis and reform through education informatization. Based on this background, this research introduces machine learning technology to achieve technical support for the integrated application of educational data. This paper focuses on the design and construction of an English teaching management data analysis system for college teaching, which combines machine learning technology with multi-source information technology. The system is mainly composed of hardware layer, data layer, service layer and application layer, which can assist teaching and realize learning career planning, faculty authority management, curriculum data modi cation, teaching resource allocation and scienti c research review. The simulation results show that this big data system has high processing e ciency, and is superior to other algorithms in terms of mean value and FVDF extreme value, so it can effectively assist English teaching management. This paper completes the design of English education big data system by introducing machine learning and multi-source information fusion into the eld of education.