思想政治教育评估体系的设计与实施

思想政治教育评估体系的设计与实施(中文6000字,英文4000字)
    摘要
随着信息化的发展，为了提高办公效率，更有效地管理学生，高校设计了许多管理系统，如图书馆管理系统和教育管理系统。这些系统主要以综合方式管理学生信息和其他信息。由于每年都有大量的高校，毕业生和大量学生入学，学生思想政治课程的归档、学生的思想政治评价以及每个模块的完善都相当复杂。一些大学的管理系统可能只提供思想政治课程。学校并没有根据课程信息和学生考试成绩专门对学生的思想政治进行评估，既不能做到根据学生的日常表现评估学生的心理活动，也没有为特定的思想政治课程提供详细的课程安排信息。因此，高校还应对学生的思想政治教育方法进行详细的信息管理，提高管理效率，减少不必要的人力资源。管理系统由JAVA [1-3]开发语言通过Myeclipise作为开发工具开发，以mysql数据库为背景，实现大学生思想政治教育的信息化管理。它可以促进学生信息管理各方面的详细管理，服务学校以及学生，并添加了机器学习算法。通过以往学生的数据，采用Logistic回归算法对分类模型进行使用，对学生的思想政治状况进行评价。

Design and Implementation of Ideological and Political Education Evaluation System
Abstract. 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.