摘要
作为一种新型的学习范式,泛在学习具有去计算机化的特性。在这种新型的学习环境下,课堂的组织具有分布式松散的特点,学习者不必受制于地理位置空间和时间的限制,从而拥有更好的学习自主性选择权以及更佳的学习体验,但这也对学习者的学习控制提出了更高的要求。文中提出了一种基于模糊多属性决策的学习控制模型,根据备选知识点的掌握程度、重要程度以及与当前知识点的依赖程度给出备选知识点的排序以供学习者选择,引导学习者完成对知识的掌握。
As a new trend of learning style,ubiquitous learning owns the feature of hiding computers while learning. In such a brand-new learning environment,the class features a distributed and loose organization,so that learners are not limited by the geographic position and the time,which brings out a better study experience and the right to choose what to learn. However,the demand for an advanced learning control becomes more and more urgent. Propose a learning control model based on the theory of fuzzy multiple attribute decision making in this paper,and according to the degree of master and importance of knowledge,and the dependence of current knowledge,give sort of alternative knowledge points for learners to choose,guiding the learner to master the knowledge completely.
出处
《计算机技术与发展》
2015年第1期107-110,共4页
Computer Technology and Development
基金
中央高校基本科研业务费专项资金(GK201002028
GK201101001)
陕西师范大学学习科学交叉学科培育计划资助项目
关键词
泛在学习
模糊多属性决策
学习控制模型
ubiquitous learning fuzzy multiple attribute decision making learning control model
