Semantic Web Technologies for supporting learning assessment

被引:42
|
作者
Castellanos-Nieves, Dagoberto [1 ]
Tomas Fernandez-Breis, Jesualdo [1 ]
Valencia-Garcia, Rafael [1 ]
Martinez-Bejar, Rodrigo [2 ]
Iniesta-Moreno, Miguela [3 ]
机构
[1] Univ Murcia, Dept Informat & Sistemas, Murcia 30100, Spain
[2] Univ Murcia, Dept Ingn Informac Comunicac, Murcia 30100, Spain
[3] Univ Murcia, Dept Estad & Invest Operat, Murcia 30100, Spain
关键词
Computers and education; eLearning; Semantic web; KNOWLEDGE REPRESENTATION; ONTOLOGY; SIMILARITY; PERFORMANCE;
D O I
10.1016/j.ins.2011.01.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The use of Semantic Web Technologies in eLearning has become more significant in recent years. A topic that has received less attention to date is the use of such technologies for supporting assessment processes. In this paper, an approach that makes use of Semantic Web Technologies to support the assessment of open questions in eLearning courses is described. This methodology combines domain ontologies, semantic annotations and semantic similarity measurements. It also incorporates an algorithm for extracting knowledge from students' answers. It has been applied in different courses and the results are also reported and discussed. In our approach, the behaviour of the algorithm for calculating the referred semantic similarity is defined by the teacher. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:1517 / 1537
页数:21
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