Digital Portrait Technology Empowering Personalized Teaching in Large College English Classes

In order to correct the shortcomings of traditional "one-size-fits-all" teaching, this paper attempts to realize personalized English teaching in large classes through data mining. This paper focuses on the steps of building a detailed data profile of each student and implementing a strategic personality plan for relevant learning, using the three main steps: creating the student profile, building a personalized learning plan, and embodying it in the classroom. At the same time, the method is also combined with a series of learning strategies designed to customize teaching content according to different learning styles in the learning trajectory. All in all, the findings of this study show that student learning outcomes can be significantly improved to a certain extent by using these personalized learning plans, and the level of improvement can be precisely measured. At the same time, the findings make a statement about the potential value of the revolutionary potential of digital archives to transform large classrooms by leveraging digital archives for effective, data-driven, and personalized instruction.