Design and Implementation of Ideological and Political Education Evaluation System

• Published in: Journal of physics. Conference series 2019-03, Vol.1176 (4), p.42067
• Main Authors: Lv, Zhenyuan, Zhou, Changjun, Zhou, Chunye
• Format: Article
• Language: English
• Subjects: Algorithms; Colleges & universities; Data base management systems; Education; Human resources; Ideology; Information management; Library management; Machine learning; Students; System effectiveness; Teaching methods
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1176/4/042067

With the development of informatization, in order to improve office efficiency and manage students more effectively, universities have produced many management systems, such as library management systems and educational management systems. These systems mostly manage student information and other information in an integrated manner. The refinement of each module, due to the large number of colleges and universities, graduates and enrolls a large number of students every year, and the archiving of students' ideological and political courses and students' ideological and political evaluation is quite complicated. Some college management systems may only provide ideological and political courses. Course information and student test scores did not specifically manage the student's ideological and political education assessment and assess the student's psychological activities based on the student's daily performance, nor did they provide detailed course scheduling information for specific ideological and political related courses. Therefore, colleges and universities should also implement detailed information management for students' ideological and political education methods, which can improve management efficiency and reduce unnecessary human resources. The management system is developed by the Java[1-3]development language through Myeclipise as a development tool. The mysql database is used as the background to realize the information management of the ideological and political education of college students. It can promote the detailed management of all aspects of students' information management. Service school as well as students. And the machine learning algorithm is added. Through the previous students' data, the classification model is trained by Logistic regression algorithm to evaluate the students' ideological and political good condition.