Comparing Ontology-Based and Item response theory in Computer adaptive test

被引：0
|
作者：
Khater, Eman [1 ]
Hegazy, Abdelfatah [1 ]
Shehab, M. Elemam. [1 ]
机构：
[1] Arab Acad Sci & Technol & Maritime Transports, Fac Comp & Informat Sci, Cairo, Egypt
来源：
2015 IEEE SEVENTH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INFORMATION SYSTEMS (ICICIS) | 2015年
关键词：
CAT; Ontology; e-learning; IRT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Adaptive e-learning is concerning about students' skills and preferences. A few researches concerning about adaptive examination systems. Ontologies can be used in e-learning systems to organize and describe knowledge and to support content management. Combining ontology with CAT systems helps to control the exam content regarding content semantics. This paper propose an ontology based adaptive Comparing system's results with IRT results -The CAT major mode provide an exact information about how far the system is reliable regarding the IRT.
引用
收藏
页码：187 / 195
页数：9
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