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Erschienen in:
2020 | OriginalPaper | Buchkapitel
The Design and Implementation of a Computerized Adaptive Testing System for School Mathematics Based on Item Response Theory
verfasst von : Jiyou Jia, Huixiao Le
Erschienen in: Technology in Education. Innovations for Online Teaching and Learning
Verlag: Springer Singapore
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Abstract
On the contrary to classical school test, the computerized adaptive test (CAT) based on IRT (Item Response Theory) stepwise estimates every examinee’ response to every question item and provides the examinee with the next corresponding and appropriate question item. The online intelligent tutoring system “Lexue 100” has been used by more than 100,000 junior high school students in China in the past 7 years. It has more than 70,000 sets of mathematics quizzes designed for different units in the various textbooks. Each of about 68,600 quizzes among the 70,000 sets has been used by more than 100 students. We analyzed those quizzes, calibrated the original 740,910 IRT parameters for the questions composing the quizzes, recalculated the parameters by using linking algorithms for 194,205 question items. Based on this large question bank with pre-calibrated parameters for every question, we designed and implemented a computerized adaptive test system for school mathematics.