基于机器学习的课程学习预警与帮扶

Early warning and assistance of students’course learning based on machine learning

对学习有困难的学生提供预警与帮扶,是工程教育专业认证的基本要求之一。课程是学生学习过程的基本构成单元。与课程的形成性评价过程相结合的学习预警,可以在课程学习过程中识别学习困难学生并进行有针对性的帮扶,从而使更多学生能够通过努力达成课程学习目标,为最终达成毕业要求提供有效支撑。本文基于课程形成性评价成绩数据,采用机器学习算法设计课程学习的滚动预警方法,给出了实现过程中的技术细节,讨论了设计帮扶措施的基本原则。实践表明,所述算法能够有效识别学困学生,帮扶措施能够改善学习成果。

It is one of the basic requirements for engineering education certification to provide early warning and assistance to at-risk students.Courses are the basic units of learning process.The learning warning combined with the formative assessment of the course can identify the at-risk students and provide targeted assistance to these students during the learning process of course,so that more students can achieve the course’s learning objectives and provide effective support for achieving the final graduation requirements.Based on the data obtained through the formative assessment of the course,this paper designs the rolling early warning algorithm of course learning using the machine learning technology.The technical details of the algorithm are given,and the basic principles used to design assistance measures are also discussed.Practical application shows that the proposed algorithm can effectively identify the at-risk students,and the assistance measures can improve the learning outcomes of students.