Research Article
Application of ID3 Algorithm in College Students’ Mental Health Education
@INPROCEEDINGS{10.1007/978-3-031-23950-2_31, author={Jie Hou}, title={Application of ID3 Algorithm in College Students’ Mental Health Education}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={ID3 algorithm Mental health education Data processing}, doi={10.1007/978-3-031-23950-2_31} }- Jie Hou
Year: 2023
Application of ID3 Algorithm in College Students’ Mental Health Education
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_31
Abstract
This paper studies the application of ID3 algorithm in college students’ mental health education. ID3 algorithm is a classical decision tree data mining algorithm for data classification and analysis, which is widely used. College Students’ mental health and school mental health education have once again become a hot spot in the society. In order to make the mental health education in Colleges and universities embark on the road of healthy development, the first and basic thing is to have a clear understanding of the existing model of mental health education in Colleges and universities, and establish a new model of mental health education suitable for yourself on this basis. In this way, it is conducive to the practical and effective development of all aspects of mental health education. The ID3 algorithm is applied to the evaluation system of College Students’ mental health education. By establishing the decision tree model of the attribute of the teaching quality of mental health education, the mental health education is classified according to the teaching quality, and the incentive effect is formed through affirmation or negation, so as to promote the improvement of the teaching quality of mental health education and the development of education and teaching.
