摘要
精准教育从诞生之初就受限于技术发展缓慢,随着信息技术的大力发展,教学管理系统,学生自主学习APP系统,基于微信学习平台的广泛应用,促使数学课程教育方面数据快速增长,使得学生的学习的行为,过程,状态,练习结果,成绩等成为可以被信息技术自动抓取的数据存在,这样使得获取精准教学的测量数据更为便捷和有效。首先分析了数学课程教学活动中存在的问题,然后对信息化教学模型构建进行了分析。以大数据中Apriori算法为主要思想,设计了基于学生数学学习效果提示和老师教学效果预测功能的数据挖掘系统,实现了对可能学习效果不理想的学生和可能教学方向不精准的老师的及早提示,同时可避免学生教师过度重复已掌握很好的知识,精准定位每位学生薄弱环节并加以改进,既可减轻师生负担,又可提高教学效果。
Precision education has been limited by the slow development of technology since its inception. With the vigorous development of information technology,teaching management system,students’ self-learning APP system,and the wide application of Wechat learning platform,the data of mathematics curriculum education has increased rapidly,which makes students’ learning behavior,process,state,practice results and achievements possible to be grasped automatically by information technology. The data obtained exist,which makes it more convenient and effective to acquire the measurement data of precise teaching. Firstly,we analyze the problems existing in the teaching activities of mathematics courses,and then analyze the construction of information-based teaching model. Taking Apriori algorithm in big data as the main idea,a data mining system based on the function of prompting students’ learning effects and predicting teachers’ teaching effects is designed,which realizes the early prompting for students with unsatisfactory learning effects and teachers with inaccurate teaching directions,and at the same time,can avoid students and teachers over-duplication of superb grasp of knowledge. It can accurately locate each student’s weak links and improve them,which can not only reduce the burden of teachers and students,but also improve the teaching effect.
作者
徐建军
张国华
XU Jian-jun;ZHANG Guo-hua(Nanjing Normal University Taizhou College,Taizhou 225300,China)
出处
《计算机技术与发展》
2020年第4期206-210,共5页
Computer Technology and Development
基金
教育部Google2014年产学合作专业综合改革项目(PO640068)。
