【摘要】 传统教学中教师无法及时关注每个学生的知识掌握情况,对学生学习状况有更深入的了解,学生也无法准确对自己学习过程中出现的症状进行及时诊断。本研究以七年级数学为例,尝试进行学生数学知识点掌握程度的分析,并基于数学知识点掌握程度和成绩等级数据,采用决策树C5.0算法构建学习成绩预测模型并验证了模型的有效性。这对教师的教和学生的学,以及后续开展关于知识点和学习成绩的研究都有一定参考意义。更多还原

【Abstract】 In traditional teaching,teachers can not pay attention to each student’s knowledge mastery timely and provide personalized guidance and teaching,and students also cannot diagnose their symptoms appeared in their own learning process timely and precisely.This research,taking mathematics of grade seven as an example,tries to analyze the mastery degree of math knowledge point,and,based on the mastery degree of math knowledge point and grading data of academic record,adopts decision tree C5.0 algorithm to construct prediction model of academic record,and validates the effectiveness of this model,which is of certain significance of reference to teachers’teaching and students’study,and also the research related to the knowledge point and academic record carried out later.更多还原