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Kang, Hyeon-Ah; Han, Suhwa; Kim, Doyoung; Kao, Shu-Chuan – Educational and Psychological Measurement, 2022
The development of technology-enhanced innovative items calls for practical models that can describe polytomous testlet items. In this study, we evaluate four measurement models that can characterize polytomous items administered in testlets: (a) generalized partial credit model (GPCM), (b) testlet-as-a-polytomous-item model (TPIM), (c)…
Descriptors: Goodness of Fit, Item Response Theory, Test Items, Scoring
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Costagliola, Gennaro; Fuccella, Vittorio – International Journal of Distance Education Technologies, 2009
To correctly evaluate learners' knowledge, it is important to administer tests composed of good quality question items. By the term "quality" we intend the potential of an item in effectively discriminating between skilled and untrained students and in obtaining tutor's desired difficulty level. This article presents a rule-based e-testing system…
Descriptors: Difficulty Level, Test Items, Computer Assisted Testing, Item Response Theory
Sarvela, Paul D.; Noonan, John V. – Educational Technology, 1988
Describes measurement problems associated with computer based testing (CBT) programs when they are part of a computer assisted instruction curriculum. Topics discussed include CBT standards; selection of item types; the contamination of items that arise from test design strategies; and the non-equivalence of comparison groups in item analyses. (8…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Item Analysis, Psychometrics
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Lai, Ah-Fur; Chen, Deng-Jyi; Chen, Shu-Ling – Journal of Educational Multimedia and Hypermedia, 2008
The IRT (Item Response Theory) has been studied and applied in computer-based test for decades. However, almost of all these existing studies evaluated focus merely on test questions with text-based (or static text/graphic) type of presentation form illustrated exclusively. In this paper, we present our study on test questions using both…
Descriptors: Elementary School Students, Semantics, Difficulty Level, Item Response Theory
Muiznieks, Viktors; Dennis, J. Richard – 1979
In computer assisted test construction (CATC) systems, the computer is used to perform the mechanical aspects of testing while the teacher retains control over question content. Advantages of CATC systems include question banks, decreased importance of test item security, computer analysis and response to student test answers, item analysis…
Descriptors: Computer Assisted Instruction, Computer Managed Instruction, Cost Effectiveness, Educational Testing
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Xiao-Fan, Li – Computer Assisted Language Learning, 2000
Reveals how English test item analysis is carried out with the help of a computer-programmed approach, what significance this has, and how beneficial it could be to teachers of English all over the world. (Author/VWL)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, English (Second Language), Item Analysis
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Liu, Chao-Lin – Educational Technology & Society, 2005
The author analyzes properties of mutual information between dichotomous concepts and test items. The properties generalize some common intuitions about item comparison, and provide principled foundations for designing item-selection heuristics for student assessment in computer-assisted educational systems. The proposed item-selection strategies…
Descriptors: Test Items, Heuristics, Classification, Item Analysis