摘要
随着计算机技术的飞速发展,大数据技术在教育场景中亦得到了应用。信号与系统课程内容多、知识点抽象、学习难度大,传统教学方式急需改进。本文利用数据挖掘技术,将各学生先修课程的绩点等个性化与共性化信息进行标注后构建数据集,进而训练数据模型,精准找出学生学习吃力的根源和应对方法,为教师授课提供指导,并智能引导学生的课前预习和课后复习。
"Signals and Systems" is massive, abstract, and difficult to learn, traditional teaching methods are in urgent need of improvement. The purpose is to use data mining to build a data set of personalized and generic information such as the grade point, personal habits, and real-time feedback of each student, and then train the data model to accurately find the root and cause of each student’s difficulty, provide guidance for teaching, and intelligently guide students’ pre-class preparation and after-class review.
作者
史士杰
SHI Shijie(School of Information Engineering,Zhengzhou University,Zhengzhou Henan 450001,China)
出处
《信息与电脑》
2021年第16期254-256,共3页
Information & Computer
基金
郑州大学校级教育教学改革研究与实践项目(项目编号:2019ZZUJGLX328)。
