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An Adaptive Online Ability Evaluation System
Using the Item Response Theory
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T. Sakumura, T. Kuwahata and H. Hirose
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Education& e-Learning (EeL2011), pp.51-54, November 7-8,
2011, Singapore.
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item response theory (IRT) gives us the valuable information about
the difficulties of problems as well as the abilities of students
contrary to the classical test method. The adaptive online systems
often use the problems and their difficulties via item banks provided
in advance by different test results, and evaluate the studentsf
abilities immediately after tests were performed. The systems usually
do not give the problem difficulty values because of incomplete
data. We have estimated the score in [0, 1] to such unanswered
problems by using a newly proposed limit IRT (LIRT), and given
the studentsf abilities in addition to the problem difficulties
recomputed. The newly developed online adaptive system worked with
only five problems successfully. Therefore, this kind of system
can be applied to many situations such as primary check systems,
short-time tests, introductory online systems. We have used this
system to an open-campus event to introduce the adaptive online
IRT system to high school students. The application field was mathematics
to the first grade in high schools. |
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response theory, adaptive system, online, limit IRT, difficulty.
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Times Cited in Web of Science:
Cited in Books:
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