基于学业成绩的师范生教师资格获得预警研究

本研究指出,教师资格考试是我国教师准入管理制度的重要环节,师范生教师资格证的获得是师范生职业发展的第一道门槛.本研究通过建立教师资格证考试内容与大学学科课程的对应关系,采用基于密度的离群点检测算法模型,以数学与应用专业学生的课程成绩为实验样本进行数据挖掘分析,识别学业危机学生.研究结果表明,该预警方法可以识别出教师资格获得危机学生,引起学生对教师资格证考试备考的重视,为教师提供预警干预学生的依据,有利于教师精准施教.该预警方法对离群特征显著的学生预测可达到100％,对离群特征不明显的学生识别率较低,算法有待修正.

Research on the Early Warning of Normal Students'Teacher Qualification Based on Academic Achievement

The study pointed out that teacher qualification examination is an important part of managing the admission of teachers in China, and obtaining the teacher qualification certificate for normal students is the first threshold for their professional development. In this study, the correspondence was established between teacher qualification examination content and university subject courses, and the outlier detection algorithm based on density was adopted, data mining and analysis were performed to identify the students in academic crisis by using the course scores of mathematics and application students as experimental samples. The research results show that this early warning method can identify the students who are in crisis of obtaining teacher qualification to remind them to prepare for teacher qualification exams. This method provides teachers with a basis for early warning and intervention of students, which is conducive to accurate teaching. At the same time, the method can predict 100% of students with significant outliers. But the recognition rate of students with insignificant outliers is low. Future revisions to the algorithm are planned.