Title :
Comparing ontology-based and Item response theory in computer adaptive test
Author :
Eman Khater;Abdelfatah Hegazy;M. Elemam Shehab
Author_Institution :
Faculty of Computer and Information Science, Arab Academy for Science and Technology and Maritime Transports, Cairo, Egypt
Abstract :
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 model- provide an exact information about how far the system is reliable regarding the IRT.
Keywords :
"Ontologies","Cognition","Testing","Engines","Wheels","Sociology","Statistics"
Conference_Titel :
Intelligent Computing and Information Systems (ICICIS), 2015 IEEE Seventh International Conference on
Print_ISBN :
978-1-5090-1949-6
DOI :
10.1109/IntelCIS.2015.7397220
