节点文献
移动学习中的数据挖掘研究
Data Mining in Mobile Learning
【摘要】 随着网络技术与通信技术的迅速发展,移动学习呈现出强大的发展势头。本文以一个实际运行的移动学习网站为研究平台,利用数据挖掘技术对网站客观数据进行分析研究,并就"移动学习使用者特征"、"知识资源个性化推荐技术"和"资源需求趋势预测"这三个比较值得关注的问题进行了实验论证,对移动学习研究者和基于知识服务的网站运营决策者具有一定的启发意义和参考价值。
【Abstract】 With the rapid development of network technology and communication technology,mobile learning is showing a strong momentum of development.Using a mobile learning website as a research platform,the study intends to investigate issues such as mobile learners’ features,personalized recommendation technology for mobile learning materials and learning demand forecasting by analyzing objective data obtained with data mining technology.It is expected that findings from the study will be valuable to mobile learning researchers,website operators,and policy-makers with knowledge-based services.
【Key words】 mobile learning； data mining； customer clustering； cooperating filter； blending recommendation technology； time-series analysis；
- 【文献出处】 中国远程教育 ,Distance Education in China , 编辑部邮箱 ,2011年01期
- 【分类号】G434
- 【被引频次】17
- 【下载频次】1142