Student Ability Portrait Construction Research Based on Big Data

In order to make students more intuitively understand their personal abilities and to provide visual data support for improving their learning process, this paper firstly discusses the background and significance of the student ability Portrait System based on big data; Secondly, the construction and presentation process of student ability portrait is clarified, and the feature value extraction model based on ID3 machine learning algorithm is proposed. The feature and feature attribute group of student ability portrait are established, and the student ability portrait is output by visualization technology. Finally, we concluded that students ' ability portraits can help students monitor themselves, improve their self-efficacy and adjust their learning behavior in time to improve learning efficiency and learning effect.