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Andreas Frey; Christoph König; Aron Fink – Journal of Educational Measurement, 2025
The highly adaptive testing (HAT) design is introduced as an alternative test design for the Programme for International Student Assessment (PISA). The principle of HAT is to be as adaptive as possible when selecting items while accounting for PISA's nonstatistical constraints and addressing issues concerning PISA such as item position effects.…
Descriptors: Adaptive Testing, Test Construction, Alternative Assessment, Achievement Tests
Peter Organisciak; Selcuk Acar; Denis Dumas; Kelly Berthiaume – Grantee Submission, 2023
Automated scoring for divergent thinking (DT) seeks to overcome a key obstacle to creativity measurement: the effort, cost, and reliability of scoring open-ended tests. For a common test of DT, the Alternate Uses Task (AUT), the primary automated approach casts the problem as a semantic distance between a prompt and the resulting idea in a text…
Descriptors: Automation, Computer Assisted Testing, Scoring, Creative Thinking
Wolkowitz, Amanda A.; Foley, Brett P.; Zurn, Jared – Journal of Applied Testing Technology, 2021
As assessments move from traditional paper-pencil administration to computer-based administration, many testing programs are incorporating alternative item types (AITs) into assessments with the goals of measuring higher-order thinking, offering insight into problem-solving, and representing authentic real-world tasks. This paper explores multiple…
Descriptors: Psychometrics, Alternative Assessment, Computer Assisted Testing, Test Items
Bulut, Okan; Lei, Ming; Guo, Qi – International Journal of Research & Method in Education, 2018
Item positions in educational assessments are often randomized across students to prevent cheating. However, if altering item positions results in any significant impact on students' performance, it may threaten the validity of test scores. Two widely used approaches for detecting position effects -- logistic regression and hierarchical…
Descriptors: Alternative Assessment, Disabilities, Computer Assisted Testing, Structural Equation Models
Wyse, Adam E.; Albano, Anthony D. – Applied Measurement in Education, 2015
This article used several data sets from a large-scale state testing program to examine the feasibility of combining general and modified assessment items in computerized adaptive testing (CAT) for different groups of students. Results suggested that several of the assumptions made when employing this type of mixed-item CAT may not be met for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Testing Programs
Sapriati, Amalia; Zuhairi, Aminudin – Turkish Online Journal of Distance Education, 2010
This paper addresses the use of computer-based testing in distance education, based on the experience of Universitas Terbuka (UT), Indonesia. Computer-based testing has been developed at UT for reasons of meeting the specific needs of distance students as the following: (1) students' inability to sit for the scheduled test; (2) conflicting test…
Descriptors: Alternative Assessment, Distance Education, Computer Assisted Testing, Computer System Design
Ferrao, Maria – Assessment & Evaluation in Higher Education, 2010
The Bologna Declaration brought reforms into higher education that imply changes in teaching methods, didactic materials and textbooks, infrastructures and laboratories, etc. Statistics and mathematics are disciplines that traditionally have the worst success rates, particularly in non-mathematics core curricula courses. This research project,…
Descriptors: Foreign Countries, Computer Assisted Testing, Educational Technology, Educational Assessment
French, Ann; Godwin, Janet – 1996
The development of innovative test item types that use multimedia technology to improve item authenticity and interaction and allow for objective scoring through partial-credit scoring methodologies was studied. Science test items were developed for community college developmental students using "Authorware 3.0," an instructional compact disc. The…
Descriptors: Alternative Assessment, College Students, Community Colleges, Computer Assisted Testing

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