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Ibbett, Nicole L.; Wheldon, Brett J. – e-Journal of Business Education and Scholarship of Teaching, 2016
In 2014 Central Queensland University (CQU) in Australia banned the use of multiple choice questions (MCQs) as an assessment tool. One of the reasons given for this decision was that MCQs provide an opportunity for students to "pass" by merely guessing their answers. The mathematical likelihood of a student passing by guessing alone can…
Descriptors: Foreign Countries, Multiple Choice Tests, Item Banks, Guessing (Tests)
Mao, Xiuzhen; Ozdemir, Burhanettin; Wang, Yating; Xiu, Tao – Online Submission, 2016
Four item selection indexes with and without exposure control are evaluated and compared in multidimensional computerized adaptive testing (CAT). The four item selection indices are D-optimality, Posterior expectation Kullback-Leibler information (KLP), the minimized error variance of the linear combination score with equal weight (V1), and the…
Descriptors: Comparative Analysis, Adaptive Testing, Computer Assisted Testing, Test Items
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Kim, Sooyeon; Robin, Frederic – ETS Research Report Series, 2017
In this study, we examined the potential impact of item misfit on the reported scores of an admission test from the subpopulation invariance perspective. The target population of the test consisted of 3 major subgroups with different geographic regions. We used the logistic regression function to estimate item parameters of the operational items…
Descriptors: Scores, Test Items, Test Bias, International Assessment
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Leroux, Audrey J.; Dodd, Barbara G. – Journal of Experimental Education, 2016
The current study compares the progressive-restricted standard error (PR-SE) exposure control method with the Sympson-Hetter, randomesque, and no exposure control (maximum information) procedures using the generalized partial credit model with fixed- and variable-length CATs and two item pools. The PR-SE method administered the entire item pool…
Descriptors: Computer Assisted Testing, Adaptive Testing, Comparative Analysis, Error of Measurement
Yang, Lihong – ProQuest LLC, 2016
In recent years, the multistage adaptive test (MST) has gained increasing popularity in the field of educational measurement and operational testing. MST refers to a test in which pre-constructed sets of items are administered adaptively and are scored as a unit (Hendrickson, 2007). As a special case of Computerized Adaptive Testing (CAT), a MST…
Descriptors: Item Banks, Computer Assisted Testing, Adaptive Testing, Test Construction
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Luo, Xin; Reckase, Mark D.; He, Wei – AERA Online Paper Repository, 2016
While dichotomous item dominates the application of computerized adaptive testing (CAT), polytomous item and set-based item hold promises for being incorporated in CAT. However, how to assemble a CAT containing mixed item formats is challenging. This study investigated: (1) how the mixed CAT works compared with the dichotomous-item-based CAT; (2)…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Adaptive Testing
New Meridian Corporation, 2020
New Meridian Corporation has developed the "Quality Testing Standards and Criteria for Comparability Claims" (QTS) to provide guidance to states that are interested in including New Meridian content and would like to either keep reporting scores on the New Meridian Scale or use the New Meridian performance levels; that is, the state…
Descriptors: Testing, Standards, Comparative Analysis, Test Content
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Sun, Bo; Zhu, Yunzong; Xiao, Yongkang; Xiao, Rong; Wei, Yungang – IEEE Transactions on Learning Technologies, 2019
In recent years, computerized adaptive testing (CAT) has gained popularity as an important means to evaluate students' ability. Assigning tags to test questions is crucial in CAT. Manual tagging is widely used for constructing question banks; however, this approach is time-consuming and might lead to consistency issues. Automatic question tagging,…
Descriptors: Computer Assisted Testing, Student Evaluation, Test Items, Multiple Choice Tests
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Hwang, Gwo-Haur; Chen, Beyin; Chen, Ru-Shan; Wu, Ting-Ting; Lai, Yu-Ling – Interactive Learning Environments, 2019
Competitive game-based learning has been widely discussed in terms of its positive and negative impacts on learners' learning effectiveness and learning behavior. Although different types of games require different kinds of knowledge to accomplish the task via competition, few studies have considered that knowledge types, such as procedural…
Descriptors: Student Behavior, Adoption (Ideas), Competition, Game Based Learning
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Yoon, Su-Youn; Lee, Chong Min; Houghton, Patrick; Lopez, Melissa; Sakano, Jennifer; Loukina, Anastasia; Krovetz, Bob; Lu, Chi; Madani, Nitin – ETS Research Report Series, 2017
In this study, we developed assistive tools and resources to support TOEIC® Listening test item generation. There has recently been an increased need for a large pool of items for these tests. This need has, in turn, inspired efforts to increase the efficiency of item generation while maintaining the quality of the created items. We aimed to…
Descriptors: Natural Language Processing, Language Tests, Item Banks, Pilot Projects
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Anderson, Daniel; Irvin, Shawn; Alonzo, Julie; Tindal, Gerald A. – Educational Measurement: Issues and Practice, 2015
The alignment of test items to content standards is critical to the validity of decisions made from standards-based tests. Generally, alignment is determined based on judgments made by a panel of content experts with either ratings averaged or via a consensus reached through discussion. When the pool of items to be reviewed is large, or the…
Descriptors: Test Items, Alignment (Education), Standards, Online Systems
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Cross, Jeffrey S.; Ekawati, Estiyanti; Fukahori, Satoko; Obi, Shinnosuke; Saito, Yugo; Tandian, Nathanael P.; Triawan, Farid – Tuning Journal for Higher Education, 2017
Following on the 2008-2012 OECD Assessment of Higher Education Learning Outcomes (AHELO) feasibility study of civil engineering, in Japan a mechanical engineering learning outcomes assessment working group was established within the National Institute of Education Research (NIER), which became the Tuning National Center for Japan. The purpose of…
Descriptors: Foreign Countries, Engineering Education, Item Banks, Outcome Based Education
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Conejo, Ricardo; Guzmán, Eduardo; Trella, Monica – International Journal of Artificial Intelligence in Education, 2016
This article describes the evolution and current state of the domain-independent Siette assessment environment. Siette supports different assessment methods--including classical test theory, item response theory, and computer adaptive testing--and integrates them with multidimensional student models used by intelligent educational systems.…
Descriptors: Automation, Student Evaluation, Intelligent Tutoring Systems, Item Banks
Dallas, Andrew – ProQuest LLC, 2014
This dissertation examined the overall effects of routing and scoring within a computer adaptive multi-stage framework (ca-MST). Testing in a ca-MST environment has become extremely popular in the testing industry. Testing companies enjoy its efficiency benefits as compared to traditionally linear testing and its quality-control features over…
Descriptors: Scoring, Computer Assisted Testing, Adaptive Testing, Item Response Theory
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Chen, Ping – Journal of Educational and Behavioral Statistics, 2017
Calibration of new items online has been an important topic in item replenishment for multidimensional computerized adaptive testing (MCAT). Several online calibration methods have been proposed for MCAT, such as multidimensional "one expectation-maximization (EM) cycle" (M-OEM) and multidimensional "multiple EM cycles"…
Descriptors: Test Items, Item Response Theory, Test Construction, Adaptive Testing
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