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主动式实验课程成绩预警系统及其效果评估
引用本文:甘才军.主动式实验课程成绩预警系统及其效果评估[J].教育技术导刊,2020,19(5):128-131.
作者姓名:甘才军
作者单位:桂林电子科技大学 计算机与信息安全学院,广西 桂林 541004
基金项目:广西高等教育改革工程项目(2017JGA188)
摘    要:针对现有教学信息系统在学生课外学习主动性促进方面存在的不足,设计并实现了一种可针对学生实验课程成绩进行主动式预警的系统。该系统根据学生以往实验报告及教师批阅信息,利用贝叶斯分类器对学生实验课程最终考核成绩提前作出预测并及时发出预警,以督促学生在课外更加主动地学习。将该机制应用于《C 程序设计实验》教学改革中,结果表明,该系统能在结课前有效预测学生最终考核成绩,且启用成绩预警后,学生及格率相比从前提高了 12%以上。

关 键 词:实验教学  成绩预警  贝叶斯分类器  互联网+  
收稿时间:2019-06-10

The Active Early Warning System of Course Achievement and Its Teaching Effect Evaluation
GAN Cai-jun.The Active Early Warning System of Course Achievement and Its Teaching Effect Evaluation[J].Introduction of Educational Technology,2020,19(5):128-131.
Authors:GAN Cai-jun
Institution:School of Computer Science and Information Security,Guilin University of Electronic Technology,Guilin 541004,China
Abstract:In view of the deficiency of the existing teaching information system in promoting the students’extracurricular learning initiative,an active early warning system for students’experimental course performance is designed and implemented.According to students’previous experimental reports and teachers’marking information,the system uses Bayesian classifier to predict students’final assessment results of experimental courses in advance and timely give early warning,urging students to learn more actively outside class. This mechanism is applied to the teaching reform of C program design experiment. The results show that the system can effectively predict students’final assessment results before the end of class. After the use of early warning,the passing rate of students was increased by more than 12%.
Keywords:experimental teaching  early warning of student's achievement  Bayesian classifier  Internet +  
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