摘要
互联网技术在教育领域的快速发展和应用,以及人们对学习理念认知的不断更新,使得基于学习者个性特征和认知能力分析的个性化教学模式逐渐成为了我国及世界各国教育界研究的热点。本文在研究了高校学生认知特点和个性差异的基础上,结合所学课程的知识点拓扑结构关系和学习者的学习兴趣等特征因素,构造了一个基于知识点推荐的个性化学习模型,旨在提升学习者的学习兴趣和提高学习的效率,从而实现真正意义上的因材施教和个性化学习,它能在缩短学习者学习时间的同时,极大地提高学习者对于知识的掌握和运用能力。
With the rapidly development and application of Internet technology in the field of education,the constantly updating of peoples understanding of learning concepts,the personalized teaching model based on the analysis of learner＇s personality characteristics and cognitive ability has gradually become a research hot point.In this paper,a personalized learning model based on knowledge points recommendation is constructed,which is based on the study of college students＇ cognition characteristics and personality differences.The purpose of the study is to improve the learners＇ interest and improve the efficiency of learning,so as to achieve a true sense of individualized teaching and personalized learning.It can shorten learners＇ learning time and greatly improve learners＇ ability of using knowledge.
作者
张春飞
孙元
王成喜
ZHANG Chun-fei;SUN Yuan;WANG Cheng-xi(Public Computer Education and Research Center,Jilin University,Changchun,Jilin 130022,China)
出处
《教育教学论坛》
2018年第41期186-187,共2页
Education And Teaching Forum
基金
吉林大学本科教学改革研究项目2017
"大数据背景下计算机基础课程基于问题的个性化教学模式研究"(项目编号:451170404240)
吉林省教育科学"十三五"规划课题2017
"大数据背景下基于互联网的个性化学习模式及评价机制研究"(项目编号:GH170008)
关键词
个性化学习
推荐系统
知识点拓扑结构
智能学习
personalized learning
recommended system
knowledge point topology
intelligent learning
