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Aybek, Eren Can – Journal of Applied Testing Technology, 2021
The study aims to introduce catIRT tools which facilitates researchers' Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) simulations. catIRT tools provides an interface for mirt and catR packages through the shiny package in R. Through this interface, researchers can apply IRT calibration and CAT simulations although they do not…
Descriptors: Item Response Theory, Computer Assisted Testing, Simulation, Models
Mead, Alan D.; Zhou, Chenxuan – Journal of Applied Testing Technology, 2022
This study fit a Naïve Bayesian classifier to the words of exam items to predict the Bloom's taxonomy level of the items. We addressed five research questions, showing that reasonably good prediction of Bloom's level was possible, but accuracy varies across levels. In our study, performance for Level 2 was poor (Level 2 items were misclassified…
Descriptors: Artificial Intelligence, Prediction, Taxonomy, Natural Language Processing
Russell, Michael – Journal of Applied Testing Technology, 2016
Interest in and use of technology-enhanced items has increased over the past decade. Given the additional time required to administer many technology-enhanced items and the increased expense required to develop them, it is important for testing programs to consider the utility of technology-enhanced items. The Technology-Enhanced Item Utility…
Descriptors: Test Items, Computer Assisted Testing, Models, Fidelity
Dickison, Philip; Luo, Xiao; Kim, Doyoung; Woo, Ada; Muntean, William; Bergstrom, Betty – Journal of Applied Testing Technology, 2016
Designing a theory-based assessment with sound psychometric qualities to measure a higher-order cognitive construct is a highly desired yet challenging task for many practitioners. This paper proposes a framework for designing a theory-based assessment to measure a higher-order cognitive construct. This framework results in a modularized yet…
Descriptors: Thinking Skills, Cognitive Tests, Test Construction, Nursing
Gierl, Mark J.; Lai, Hollis; Hogan, James B.; Matovinovic, Donna – Journal of Applied Testing Technology, 2015
The demand for test items far outstrips the current supply. This increased demand can be attributed, in part, to the transition to computerized testing, but, it is also linked to dramatic changes in how 21st century educational assessments are designed and administered. One way to address this growing demand is with automatic item generation.…
Descriptors: Common Core State Standards, Test Items, Alignment (Education), Test Construction
Luecht, Richard M. – Journal of Applied Testing Technology, 2013
Assessment engineering is a new way to design and implement scalable, sustainable and ideally lower-cost solutions to the complexities of designing and developing tests. It represents a merger of sorts between cognitive task modeling and engineering design principles--a merger that requires some new thinking about the nature of score scales, item…
Descriptors: Engineering, Test Construction, Test Items, Models
Hendrickson, Amy; Ewing, Maureen; Kaliski, Pamela; Huff, Kristen – Journal of Applied Testing Technology, 2013
Evidence-centered design (ECD) is an orientation towards assessment development. It differs from conventional practice in several ways and consists of multiple activities. Each of these activities results in a set of useful documentation: domain analysis, domain modeling, construction of the assessment framework, and assessment…
Descriptors: Evidence, Test Construction, Educational Assessment, Learning Theories
Parshall, Cynthia G.; Harmes, J. Christine – Journal of Applied Testing Technology, 2009
Many exam programs have begun to include innovative item types in their operational assessments. While innovative item types appear to have great promise for expanding measurement, there can also be genuine challenges to their successful implementation. In this paper we present a set of four activities that can be beneficially incorporated into…
Descriptors: Test Items, Test Construction, Measurement, Educational Assessment