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Lazarte, Alejandro A. – 1999
Two experiments reproduced in a simulated computerized test-taking situation the effect of two of the main determinants in answering an item in a test: the difficulty of the item and the time available to answer it. A model is proposed for the time to respond or abandon an item and for the probability of abandoning it or answering it correctly. In…
Descriptors: Computer Assisted Testing, Difficulty Level, Higher Education, Probability
Green, Bert F. – New Directions for Testing and Measurement, 1983
Computerized adaptive testing allows us to create a unique personalized test that matches the ability and knowledge of the test taker. (Author)
Descriptors: Adaptive Testing, Computer Assisted Testing, Individual Needs, Individual Testing
Peer reviewedRoid, Gale; Haladyna, Tom – Review of Educational Research, 1980
A continuum of item-writing methods is proposed ranging from informal-subjective methods to algorithmic-objective methods. Examples of techniques include objective-based item writing, amplified objectives, item forms, facet design, domain-referenced concept testing, and computerized techniques. (Author/CP)
Descriptors: Achievement Tests, Algorithms, Computer Assisted Testing, Criterion Referenced Tests
Peer reviewedBennett, Randy Elliot; Steffen, Manfred; Singley, Mark Kevin; Morley, Mary; Jacquemin, Daniel – Journal of Educational Measurement, 1997
Scoring accuracy and item functioning were studied for an open-ended response type test in which correct answers can take many different surface forms. Results with 1,864 graduate school applicants showed automated scoring to approximate the accuracy of multiple-choice scoring. Items functioned similarly to other item types being considered. (SLD)
Descriptors: Adaptive Testing, Automation, College Applicants, Computer Assisted Testing
Peer reviewedKobrin, Jennifer L.; Young, John W. – Applied Measurement in Education, 2003
Studied the cognitive equivalence of computerized and paper-and-pencil reading comprehension tests using verbal protocol analysis. Results for 48 college students indicate that the only significant difference between the computerized and paper-and-pencil tests was in the frequency of identifying important information in the passage. (SLD)
Descriptors: Cognitive Processes, College Students, Computer Assisted Testing, Difficulty Level
Peer reviewedRocklin, Thomas R. – Applied Measurement in Education, 1994
Effects of self-adapted testing (SAT), in which examinees choose the difficulty of items themselves, on ability estimates, precision, and efficiency, mechanisms of SAT effects, and examinee reactions to SAT are reviewed. SAT, which is less efficient than computer-adapted testing, is more efficient than fixed-item testing. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Difficulty Level
Peer reviewedBrown, James Dean – Language Learning & Technology, 1997
Explores recent developments in the use of computers in language testing in four areas: (1) item banking; (2) computer-assisted language testing; (3) computerized-adaptive language testing; and (4) research on the effectiveness of computers in language testing. Examines educational measurement literature in an attempt to forecast the directions…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Language Research, Language Tests
Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2005
A new test assembly algorithm based on a Monte Carlo random search is presented in this article. A major advantage of the Monte Carlo test assembly over other approaches (integer programming or enumerative heuristics) is that it performs a uniform sampling from the item pool, which provides every feasible item combination (test) with an equal…
Descriptors: Item Banks, Computer Assisted Testing, Monte Carlo Methods, Evaluation Methods
Pomplun, Mark; Ritchie, Timothy – Journal of Educational Computing Research, 2004
This study investigated the statistical and practical significance of context effects for items randomized within testlets for administration during a series of computerized non-adaptive tests. One hundred and twenty-five items from four primary school reading tests were studied. Logistic regression analyses identified from one to four items for…
Descriptors: Psychometrics, Context Effect, Effect Size, Primary Education
Alonzo, Julie; Lai, Cheng Fei; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 4, General Education, Response to Intervention, Access to Education
Lai, Cheng Fei; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 5, General Education, Response to Intervention, Access to Education
Alonzo, Julie; Lai, Cheng Fei; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 3, General Education, Response to Intervention, Access to Education
Lai, Cheng Fei; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 7, General Education, Response to Intervention, Access to Education
Lai, Cheng Fei; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 8, General Education, Response to Intervention, Access to Education
Alonzo, Julie; Lai, Cheng Fei; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 2, General Education, Response to Intervention, Access to Education

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