Personalized Learning System(PLS) Based on Web Content Mining 基于Web内容挖掘的个性化学习系统(PLS)
In this paper, we study how to actively deliver the personalized learning information by Personalized Learning System(PLS) based on the learner's individual character. 研究了基于网络的个性化学习系统(PLS)如何根据学习者的个性特征主动推送个性化学习信息服务,并就如何提高基于网络的个性化学习系统(PLS)的运行效率,提出了一种有效提取学习者个性特征的算法。
To improve the shortcomings of web-based learning system, a new model of the personalized learning system is presented based on data mining, and how to use the decision tree and the BP-neural network to design the personalized navigation module detailedly are described. 为改善基于Web学习系统存在的不足,提出了一个基于数据挖掘技术的个性化学习系统(PLS)模型,并详细描述了应用决策树及BP神经网络算法对个性化导航模块设计的方法。
Implement Knowledge Management in Web-based Personalized Learning System(PLS) 利用知识管理实现个性化网络学习系统
Under the background of building a learning society, with the proposed concept of lifelong learning and the developed of personalized learning system throughout the network, learning and evaluation based on ability orientation has become a hot research field in current education. 在构建学习型社会的时代背景下,随着终身学习理念的提出和网络个性化学习系统(PLS)的发展,能力导向的学习及其评价已经成为当前教育界的一个热门研究领域。