Improving Conceptual Learning through Customized Knowledge Visualization

被引：0
|
作者：
Gu, Qianyi [1 ]
Ahmad, Faisal [2 ]
Sumner, Tamara [2 ]
机构：
[1] Sichuan Normal Univ, Dept Comp Sci, Chengdu, Peoples R China
[2] Univ Colorado, Dept Comp Sci, Boulder, CO 80309 USA
来源：
THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS | 2010年
关键词：
visualization; knowledge representation; user interfaces; MAPS;
D O I：
10.1109/WKDD.2010.68
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a customized scaffolding approach to improve learner's conceptual understandings through knowledge visualization. We propose a framework to use natural language processing and graph based algorithms to automatic visualize individual learner's prior knowledge states, domain knowledge, new encountered concepts and to reveal the semantic relationships between them. Thus, we are able to help learners to solve their uncertainties of new merging ideas and concepts in their learning process in order to integrate new knowledge with their preconceptions.
引用
收藏
页码：407 / 410
页数：4
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