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Geerlings, Hanneke; van der Linden, Wim J.; Glas, Cees A. W. – Applied Psychological Measurement, 2013
Optimal test-design methods are applied to rule-based item generation. Three different cases of automated test design are presented: (a) test assembly from a pool of pregenerated, calibrated items; (b) test generation on the fly from a pool of calibrated item families; and (c) test generation on the fly directly from calibrated features defining…
Descriptors: Test Construction, Test Items, Item Banks, Automation
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Ivancevic, Vladimir – Journal of Learning Analytics, 2014
Tests targeting the upper limits of student ability could aid students in their learning. This article gives an overview of an approach to the construction of such tests in programming, together with ideas on how to implement and refine them within a learning management system.
Descriptors: Item Banks, Educational Research, Data Collection, Data Analysis
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Lopez-Cuadrado, Javier; Perez, Tomas A.; Vadillo, Jose A.; Gutierrez, Julian – Computers & Education, 2010
The main requisite for a functional computerized adaptive testing system is the need of a calibrated item bank. This text presents the tasks carried out during the calibration of an item bank for assessing knowledge of Basque language. It has been done in terms of the 3-parameter logistic model provided by the item response theory. Besides, this…
Descriptors: Electronic Learning, Item Response Theory, Adult Education, Test Items
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Ariel, Adelaide; Veldkamp, Bernard P.; Breithaupt, Krista – Applied Psychological Measurement, 2006
Computerized multistage testing (MST) designs require sets of test questions (testlets) to be assembled to meet strict, often competing criteria. Rules that govern testlet assembly may dictate the number of questions on a particular subject or may describe desirable statistical properties for the test, such as measurement precision. In an MST…
Descriptors: Item Response Theory, Item Banks, Psychometrics, Test Items