概念图智能匹配机制用于支持个性化网络学习  

Intelligent matching algorithm of concept maps to support personalized learning

作　　者：孙珠婷[1] 顾倩颐[1,2] 

机构地区：[1]四川师范大学计算机科学学院,四川成都610101 [2]四川师范大学可视化计算与虚拟现实四川省重点实验室,四川成都610068

出　　处：《计算机工程与设计》2012年第10期3954-3958,共5页Computer Engineering and Design

基　　金：全国教育科学规划项目国家青年基金项目(CCA100176);四川省教育厅科研基金项目(09ZC080)

摘　　要：针对个性化网络学习平台中往往只关注学习者学习风格而忽略对学习者认知能力培养的问题提出一种基于概念图的方法对学习者认知能力进行形式化描述。采用自然语言处理及潜在语义分析方法构建基于学习者行为的学习者概念图及领域知识概念图,提出一种基于最大共同子图的匹配算法计算学习者概念图与领域知识概念图之间的相似度,提取学习者的个性化知识缺失、还需要掌握的知识,并以可视化形式呈现一定知识目标领域内学习者的已有知识及需要掌握的知识。实验结果表明,基于概念图的个性化网络学习能够促进学习者及时纠正、完善知识点的理解缺陷,培养学习者的认知能力。Personalized online learning always focusing on the learners＇ learning styles and ignoring training the cognitive abilities of learners. A method based on the concept maps is proposed. Introducing the methods of natural language processing and latent semantic analysis to build learners＇ concept maps and domain knowledge concept maps from learning behaviors of learners. Through calculating similarity between the learners＇ concept maps and domain knowledge maps by a maximum common sub- graph matching algorithm, we can extract the missing knowledge of learners and visualize the target knowledge and the learners＇ original knowledge. Experimental results showed that the personalized online learning based on concept maps can contribute to correct knowledge deficits timely and improve understanding the knowledge point for learners. Achieving the target of developing learners＇ cognitive abilities.

关 键 词：概念图 认知能力 潜在语义分析 最大共同子图 个性化网络学习 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]