A computer adaptive testing method for intelligent tutoring systems

Authors:
Adrianna Kozierkiewicz-Hetmańska;Ngoc Thanh Nguyen
Affiliations:
Institute of Informatics, Wroclaw University of Technology, Poland;Institute of Informatics, Wroclaw University of Technology, Poland
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Year:
2010

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Abstract

The growth of popularity of computers increases interest of adaptive testing in tutoring systems. Computer adaptive testing is a form of educational measurement that is adaptable to examine proficiency. In a procedure of adaptive testing it is required to determine a selection of the first item, a method of estimation of student's proficiency, a method of selection of the next item and a termination criterion. In this paper the original algorithm of adaptive testing with all basic steps is proposed. The level of difficulty of the first item is set using user's profile. Such solution allows to start a test, where the first item is suitable for student's preferences. In our method 2-parameter IRT model is applied to choose the next item.