The model of students’ portraits based on data processing

With the high development of information technology, the importance of personalized learning is becoming more and more prominent. However, compared with the focus on big data, the focus on small data is not enough. To establish a more personalized and targeted student portrait model, this paper is referring to the relevant definitions of data granularity, this paper establishes the concept of characteristic granularity, and according to different characteristic granularity, establishes a processing model of cluster analysis with big data, classification and judgment of medium data and refinement of small data. The model integrates all kinds of data, the common part and the individual part are applied, so that the established model is more personalized. It better improves the clarity and accuracy of students’ portraits.

I. Introduction

With the development of society and the rapid popularization of the Internet and mobile Internet, students' learning is slowly changing from "large class" to "small class", and the pertinence of learning is also changing from "paying attention to the majority" to "pay attention to each".