改进的聚类算法在现代教育技术混合式教学中的应用  

Application of improved clustering algorithm in blended teaching of modern educational technology course

作　　者：宗春梅 赵青杉[1] 郝耀军[1] 裴春琴[1] ZONG Chunmei;ZHAO Qingshan;HAO Yaojun;PEI Chunqin(Department of Computer,Xinzhou Teachers University,Xinzhou 034000,China)

机构地区：[1]忻州师范学院计算机系,山西忻州034000

出　　处：《高师理科学刊》2023年第2期80-84,共5页Journal of Science of Teachers＇College and University

基　　金：2021年山西省高等学校教学改革创新项目(J2021567);2021年忻州师范学院教学改革创新项目(JGYB202127)。

摘　　要：混合式教学打破了教学中空间上的限制,在教学中发挥着重大作用.将成熟的线下教学流程通过网络资源建设形成同等教学效果的线上课程.资源的可拓展、易获取、复观摩等特性将使课程资源更适合学生进行自驱式研究学习,强化学生知识获取能力.以研究线上线下混合式教改效果为目的,在深入研究聚类算法的基础上,提出一种改进的k-means算法,并将其运用到现代教育技术课程的教学方法改进中.在大数据的环境下,通过实验对学生学习行为模式进行挖掘,从而及时详细地理解学生的学习状态,准确判断学生的学习行为,从而优化教学,以此对改进后的教学做出评价及建议.数据分析结果可根据学习行为习惯划分出不同类型的学生,从而指导教师进行更有针对性地改进教学方案,提高教学质量,有利于混合式教学的长远发展.Blended teaching breaks the space limitation and plays an important role in teaching.The mature offline teaching process will be formed into an online course with the same teaching effect through the construction of network resources.The characteristics of expand ability,easy access and repeated observation of resources will make the course resources more suitable for students to conduct self driven research and learning,and strengthen students′knowledge acquisition ability.In order to study the effect of online and offline hybrid teaching reform,an improved k-means algorithm is proposed and applied to the improvement of teaching methods based on the in-depth study of clustering algorithm of modern educational technology course.In the environment of big data,students′ learning behavior patterns are mined through experiments,so as to understand students′ learning status in time and in detail,accurately judge students′ learning behavior and optimize teaching,so as to make evaluation and suggestions on teachers′ improved teaching.The results of data analysis can be divided into different types of students according to their learning habits,so as to guide teachers to improve more targeted teaching programs and improve teaching quality,which is conducive to the long-term development of hybrid teaching.

关 键 词：现代教育技术课程 改进的k-means算法 混合式教学 数据挖掘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] G642.0[自动化与计算机技术—计算机科学与技术]