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Clark, Linda – T.H.E. Journal, 2004
Most educators today would agree that the mission of the teaching profession has become more complex and much more challenging than ever before. Changes in district demographics, societal pressures that require more personalized student attention, evermore stringent governmental demands, and constant budgetary concerns all have an impact on…
Descriptors: Teaching (Occupation), Adaptive Testing, Computer Assisted Testing, Academic Achievement
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Garland, Kate J.; Noyes, Jan M. – Behaviour and Information Technology, 2004
Research suggests screen reading is slower and possibly less accurate than reading from paper. Six study and test sessions over 10 months examined correct scores and retrieval responses for learning material presented via these two media. Correct scores did not differ suggesting that close matching of material can eliminate any decrement in…
Descriptors: Computer Assisted Testing, Evaluation Methods, Computers, Reading Rate
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Kremer, John F. – New Directions for Teaching and Learning, 2004
Can computers help with one of the most persistent challenges of large classes: the accurate and efficient measurement of student learning?
Descriptors: Computer Assisted Testing, Computer Security, Case Studies, Instructional Design
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Rupp, Andre A. – International Journal of Testing, 2003
Item response theory (IRT) has become one of the most popular scoring frameworks for measurement data. IRT models are used frequently in computerized adaptive testing, cognitively diagnostic assessment, and test equating. This article reviews two of the most popular software packages for IRT model estimation, BILOG-MG (Zimowski, Muraki, Mislevy, &…
Descriptors: Test Items, Adaptive Testing, Item Response Theory, Computer Software
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Campbell, Alistair – Assessment and Evaluation in Higher Education, 2005
This paper describes a new ICT assessment tool that reduces multihandling of marks, comments and scores specifically where professional judgement is involved. Whereas previous ICT applications in most fields of education have focused on student learning, this tool focuses on the lecturer task of the assessment process. Unlike many ICT based…
Descriptors: Feedback, Information Technology, Computer Uses in Education, Computer Assisted Testing
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Pomplun, Mark; Custer, Michael – Journal of Educational Computing Research, 2005
This study investigated the equivalence of scores from computerized and paper-and-pencil formats of a series of K-3 reading screening tests. Concerns about score equivalence on the computerized formats were warranted because of the use of reading passages, computer unfamiliarity of primary school students, and teacher versus computer…
Descriptors: Screening Tests, Reading Tests, Family Income, Factor Analysis
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Chuah, Siang Chee; Drasgow, Fritz; Luecht, Richard – Applied Measurement in Education, 2006
Adaptive tests offer the advantages of reduced test length and increased accuracy in ability estimation. However, adaptive tests require large pools of precalibrated items. This study looks at the development of an item pool for 1 type of adaptive administration: the computer-adaptive sequential test. An important issue is the sample size required…
Descriptors: Test Length, Sample Size, Adaptive Testing, Item Response Theory
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Ariel, Adelaide; Veldkamp, Bernard P.; van der Linden, Wim J. – Journal of Educational Measurement, 2004
Preventing items in adaptive testing from being over- or underexposed is one of the main problems in computerized adaptive testing. Though the problem of overexposed items can be solved using a probabilistic item-exposure control method, such methods are unable to deal with the problem of underexposed items. Using a system of rotating item pools,…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Test Construction
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Eggen, Theo J. H. M.; Verschoor, Angela J. – Applied Psychological Measurement, 2006
Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model…
Descriptors: Adaptive Testing, Difficulty Level, Test Items, Item Response Theory
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Yang, Xiangdong; Poggio, John C.; Glasnapp, Douglas R. – Educational and Psychological Measurement, 2006
The effects of five ability estimators, that is, maximum likelihood estimator, weighted likelihood estimator, maximum a posteriori, expected a posteriori, and Owen's sequential estimator, on the performances of the item response theory-based adaptive classification procedure on multiple categories were studied via simulations. The following…
Descriptors: Classification, Computation, Simulation, Item Response Theory
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Williamson, David M.; Bauer, Malcolm; Steinberg, Linda S.; Mislevy, Robert J.; Behrens, John T.; DeMark, Sarah F. – International Journal of Testing, 2004
In computer-based interactive environments meant to support learning, students must bring a wide range of relevant knowledge, skills, and abilities to bear jointly as they solve meaningful problems in a learning domain. To function effectively as an assessment, a computer system must additionally be able to evoke and interpret observable evidence…
Descriptors: Computer Assisted Testing, Psychometrics, Task Analysis, Performance Based Assessment
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Schult, Carolyn A.; McIntosh, John L. – Teaching of Psychology, 2004
Computer-administered exams offer many advantages, but instructors may be reluctant to use them due to concerns that computer anxiety may increase student test anxiety. Introductory psychology students (N = 265) completed surveys prior to their first exam about their anxiety related to the upcoming exam, computers in general, and taking exams on…
Descriptors: Psychology, Test Anxiety, Computer Attitudes, Computer Assisted Testing
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Laufer, Batia; Goldstein, Zahava – Language Learning, 2004
In this article, we describe the development and trial of a bilingual computerized test of vocabulary size, the number of words the learner knows, and strength, a combination of four aspects of knowledge of meaning that are assumed to constitute a hierarchy of difficulty: passive recognition easiest, active recognition, passive recall, and active…
Descriptors: Word Frequency, Vocabulary Development, Computer Assisted Testing, Recall (Psychology)
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Lumsden, Jill A.; Sampson, James P., Jr.; Reardon, Robert C.; Lenz, Janet G.; Peterson, Gary W. – Measurement and Evaluation in Counseling and Development, 2004
The authors examined the extent to which the Realistic, Investigative, Artistic, Social, Enterprising, and Conventional scales and 3-point codes of the Self-Directed Search may be considered statistically and practically equivalent across 3 different modes of administration: paper-and-pencil, personal computer, and Internet. Student preferences…
Descriptors: Internet, Psychological Testing, Scores, Vocational Interests
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Giles, Jessica W.; Heyman, Gail D. – Journal of Cognition and Development, 2004
Three studies (N = 171) examined preschool children's tendency to use category information to make inferences about ambiguous behavior. Children heard stories in which category information about story characters was manipulated and behavioral information was held constant. Participants were asked to evaluate, explain, and determine the…
Descriptors: Preschool Children, Inferences, Classification, Computer Assisted Testing
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