Research into information systems and models is crucial to the administration of online learning, however there is an issue with the improper placement of data. The information system issue in digital education management cannot be solved by traditional deep learning, and the results are less than optimal. Consequently, this study reviews previous work on digital education management information systems and models, and it suggests future research on such systems and models based on digital mining algorithms. As a first step in reducing interference factors in information system and model research, statistical set,then segregated according to the needs of the study. After that, a study plan for an information system and model based on a digital mining algorithm is developed using statistical set theory, and the outcomes of this research are thoroughly examined. The digital mining method outperforms conventional deep learning in MATLAB simulations when it comes to information system and model research accuracy and information system and model research influencing factor time, under certain evaluation criteria.