摘要
通过分析高职学生群体的总体特征及网络学习现状,挖掘学生在学习行为方面需要重点关注的问题,即学生网络学习的登录频度、学习者平均每次学习持续的时间长度、学习时有无中断;学生浏览、搜索、更新、创建、上传资源、订阅等学习行为发生的频度;学生点评、回复、发起话题等学习行为发生的频度;学生对各种介质学习资源的偏好度等。在此基础上,利用数据挖掘工具对网络学习者的学习行为进行采集、并分析高职学生的网络学习行为规律,依据分析结果从网络学习资源的个性化设计、教师的适度干预、监督和控制,团队的协同学习及激励促进等方面提出对策。
Based on the analysis of the general online learning situation of students in vocational colleges,this paper points out the problems of online learning behaviors to be focused on:the login frequency of students'online learning,the average duration of each learning,and whether there is any interruption during learning;frequency of students'learning behaviors such as browsing,searching,updating,creating,uploading resources and subscribing;the frequency of students'learning behaviors such as comments,replies and topic initiation;students'preference for learning resources of various media.This study used data mining tools to collect the learning behaviors of online learners and analyzed the rules of online learning behaviors of vocational college students.Based on the analysis results,countermeasures were proposed from the aspects of personalized design of online learning resources,moderate intervention,supervision and control of teachers,collaborative learning of teams,and incentive and promotion.
作者
尤庆华
YOU Qing-hua(Department of Electronics and Information,Zhejiang Business and Technology Institute,Ningbo 315012,China)
出处
《职教通讯》
2019年第12期17-21,共5页
Communication of Vocational Education
基金
2017年浙江省教育厅科研项目“‘互联网+’背景下高职学生网络学习行为挖掘与对策研究”(项目编号：Y201738643)
2016年学校科研基金项目“基于数据挖掘的高职学生网络学习行为偏好分析与对策研究”(项目编号：2016Y04)
关键词
数据挖掘
网络学习
行为偏好
data mining
network learnin
preference analysis
