计算机科学
大数据
计算
心理健康
数据科学
数据挖掘
心理学
程序设计语言
精神科
作者
Feng-Ping Lin,Wenbin Liu
标识
DOI:10.1109/ickii58656.2023.10332736
摘要
In order to use big data analysis and artificial intelligence technology for students, educational institutions and parents need to better understand the mental health status of students to support them and provide intervention measures. Thus, we designed an intelligent analysis platform for student mental health to evaluate and predict it by collecting and analyzing multi-dimensional data such as personal information, learning behavior data, and social media activities. By using models and algorithms, the platform identified possible mental health problems of students such as anxiety, depression, and stress, and provided timely warnings and suggestions. At the same time, the platform provided customized mental health support and intervention programs based on students' personalized needs and characteristics, including online psychological counseling, mental health education resources, and self-help tutoring tools to develop students' mental health and improve academic achievement.
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