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Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
Yoshioka, Sérgio R. I.; Ishitani, Lucila – Informatics in Education, 2018
Computerized Adaptive Testing (CAT) is now widely used. However, inserting new items into the question bank of a CAT requires a great effort that makes impractical the wide application of CAT in classroom teaching. One solution would be to use the tacit knowledge of the teachers or experts for a pre-classification and calibrate during the…
Descriptors: Student Motivation, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Hol, A. Michiel; Vorst, Harrie C. M.; Mellenbergh, Gideon J. – Applied Psychological Measurement, 2007
In a randomized experiment (n = 515), a computerized and a computerized adaptive test (CAT) are compared. The item pool consists of 24 polytomous motivation items. Although items are carefully selected, calibration data show that Samejima's graded response model did not fit the data optimally. A simulation study is done to assess possible…
Descriptors: Student Motivation, Simulation, Adaptive Testing, Computer Assisted Testing
Wise, Steven L.; Kong, Xiaojing – Applied Measurement in Education, 2005
When low-stakes assessments are administered, the degree to which examinees give their best effort is often unclear, complicating the validity and interpretation of the resulting test scores. This study introduces a new method, based on item response time, for measuring examinee test-taking effort on computer-based test items. This measure, termed…
Descriptors: Psychometrics, Validity, Reaction Time, Test Items

Vispoel, Walter P.; Coffman, Don D. – Applied Measurement in Education, 1994
Computerized-adaptive (CAT) and self-adapted (SAT) music listening tests were compared for efficiency, reliability, validity, and motivational benefits with 53 junior high school students. Results demonstrate trade-offs, with greater potential motivational benefits for SAT and greater efficiency for CAT. SAT elicited more favorable responses from…
Descriptors: Adaptive Testing, Computer Assisted Testing, Efficiency, Item Response Theory
Wise, Steven L. – 1997
Computerized adaptive testing (CAT) has become increasingly common in large-scale testing programs. This paper considers relevant practical issues that are likely to be faced by the developers and managers of a CAT program. The first cluster of issues is that of item pool development and maintenance. It includes such considerations as item pool…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Attitudes, Equal Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection