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Lee, Jaemu; Park, Sanghoon; Kim, Kwangho – Turkish Online Journal of Distance Education, 2012
Computer Adaptive Testing (CAT) has been highlighted as a promising assessment method to fulfill two testing purposes: estimating student academic ability and classifying student academic level. In this paper, assessment for we introduced the Web-based Adaptive Testing System (WATS) developed to support a cost effective assessment for classifying…
Descriptors: Academic Ability, Academic Support Services, Adaptive Testing, Computer Assisted Testing
Kortemeyer, Gerd – Physical Review Special Topics - Physics Education Research, 2014
Item response theory (IRT) becomes an increasingly important tool when analyzing "big data" gathered from online educational venues. However, the mechanism was originally developed in traditional exam settings, and several of its assumptions are infringed upon when deployed in the online realm. For a large-enrollment physics course for…
Descriptors: Item Response Theory, Online Courses, Electronic Learning, Homework
Green, Bert F. – Applied Psychological Measurement, 2011
This article refutes a recent claim that computer-based tests produce biased scores for very proficient test takers who make mistakes on one or two initial items and that the "bias" can be reduced by using a four-parameter IRT model. Because the same effect occurs with pattern scores on nonadaptive tests, the effect results from IRT scoring, not…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Bias, Item Response Theory
Allevato, Anthony J. – ProQuest LLC, 2012
Educators in many disciplines are too often forced to rely on intuition about how students learn and the effectiveness of teaching to guide changes and improvements to their curricula. In computer science, systems that perform automated collection and assessment of programming assignments are seeing increased adoption, and these systems generate a…
Descriptors: Computer Science Education, Intuition, Grading, Computer Assisted Testing
Kuo, Che-Yu; Wu, Hsin-Kai; Jen, Tsung-Hau; Hsu, Ying-Shao – International Journal of Science Education, 2015
The potential of computer-based assessments for capturing complex learning outcomes has been discussed; however, relatively little is understood about how to leverage such potential for summative and accountability purposes. The aim of this study is to develop and validate a multimedia-based assessment of scientific inquiry abilities (MASIA) to…
Descriptors: Multimedia Materials, Program Development, Program Validation, Test Construction
Bulut, Okan; Kan, Adnan – Eurasian Journal of Educational Research, 2012
Problem Statement: Computerized adaptive testing (CAT) is a sophisticated and efficient way of delivering examinations. In CAT, items for each examinee are selected from an item bank based on the examinee's responses to the items. In this way, the difficulty level of the test is adjusted based on the examinee's ability level. Instead of…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Entrance Examinations, Graduate Students
Rulison, Kelly L.; Loken, Eric – Applied Psychological Measurement, 2009
A difficult result to interpret in Computerized Adaptive Tests (CATs) occurs when an ability estimate initially drops and then ascends continuously until the test ends, suggesting that the true ability may be higher than implied by the final estimate. This study explains why this asymmetry occurs and shows that early mistakes by high-ability…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Academic Ability
Ferdous, Abdullah A.; Plake, Barbara S.; Chang, Shu-Ren – Educational Assessment, 2007
The purpose of this study was to examine the effect of pretest items on response time in an operational, fixed-length, time-limited computerized adaptive test (CAT). These pretest items are embedded within the CAT, but unlike the operational items, are not tailored to the examinee's ability level. If examinees with higher ability levels need less…
Descriptors: Pretests Posttests, Reaction Time, Computer Assisted Testing, Test Items
Chang, Shu-Ren; Plake, Barbara S.; Ferdous, Abdullah A. – Online Submission, 2005
This study examined the time different ability level examinees spend taking a CAT on demanding items to these examinees. It was also found that high able examinees spend more time on the pretest items, which are not tailored to the examinees' ability level, than do lower ability examinees. Higher able examinees showed persistence with test…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Reaction Time
Al-A'ali, Mansoor – Educational Technology & Society, 2007
Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…
Descriptors: Educational Testing, Higher Education, Elementary Secondary Education, Student Evaluation
Lunz, Mary E.; And Others – 1991
This paper explores the effect of reviewing items and altering responses on the efficiency of computer adaptive tests (CATs) and the resultant ability measures of examinees. Subjects included 712 medical students: 220 subjects were randomly assigned to the review condition; 492 were randomly assigned to a review control condition (the usual CAT…
Descriptors: Academic Ability, Adaptive Testing, Certification, Comparative Testing

Hirsch, Thomas M. – Journal of Educational Measurement, 1989
Equatings were performed on both simulated and real data sets using common-examinee design and two abilities for each examinee. Results indicate that effective equating, as measured by comparability of true scores, is possible with the techniques used in this study. However, the stability of the ability estimates proved unsatisfactory. (TJH)
Descriptors: Academic Ability, College Students, Comparative Analysis, Computer Assisted Testing