Title :
Simulation of computer adaptive learning and improved algorithm of pyramidal testing
Author :
Lendyuk, Taras ; Rippa, Sergey ; Sachenko, Svitlana
Author_Institution :
Ternopil Nat. Econ. Univ., Ternopil, Ukraine
Abstract :
In this paper the realization of computer adaptive testing using mathematical-statistical tools of Item Response Theory is considered. It is aimed for knowledge level quick determination of full-time students and distance educations students, and to identify gaps in their knowledge. The goal of computer adaptive testing is a student knowledge assessment. But mainly it is making recommendations for adaptive learning system to individual learning path construction. Such system can be used in within LMS as well as for students self-training.
Keywords :
computer aided instruction; distance learning; LMS; computer adaptive learning system; distance education student; full-time student; item response theory; mathematical statistical tool; pyramidal testing; student knowledge assessment; students self-training; Adaptation models; Adaptive systems; Computers; Learning systems; Least squares approximations; Materials; Testing; LMS; adaptive learning; computer adaptive testing; individual learning path; item response theory;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6663028
