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Ayfer Sayin; Sabiha Bozdag; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The purpose of this study is to generate non-verbal items for a visual reasoning test using templated-based automatic item generation (AIG). The fundamental research method involved following the three stages of template-based AIG. An item from the 2016 4th-grade entrance exam of the Science and Art Center (known as BILSEM) was chosen as the…
Descriptors: Test Items, Test Format, Nonverbal Tests, Visual Measures
Mehri Izadi; Maliheh Izadi; Farrokhlagha Heidari – Education and Information Technologies, 2024
In today's environment of growing class sizes due to the prevalence of online and e-learning systems, providing one-to-one instruction and feedback has become a challenging task for teachers. Anyhow, the dialectical integration of instruction and assessment into a seamless and dynamic activity can provide a continuous flow of assessment…
Descriptors: Adaptive Testing, Computer Assisted Testing, English (Second Language), Second Language Learning
Istiyono, Edi; Dwandaru, Wipsar Sunu Brams; Lede, Yulita Adelfin; Rahayu, Farida; Nadapdap, Amipa – International Journal of Instruction, 2019
The objective of this study was to develop Physics critical thinking skill test using computerized adaptive test (CAT) based on item response theory (IRT). This research was a development research using 4-D (define, design, develop, and disseminate). The content validity of the items was proven using Aiken's V. The test trial involved 252 students…
Descriptors: Critical Thinking, Thinking Skills, Cognitive Tests, Physics
Molnar, Gyongyver; Hodi, Agnes; Magyar, Andrea – AERA Online Paper Repository, 2016
Vocabulary knowledge assessment methods and instruments have gone through a significant evolution. Computer-based tests offer more opportunities than their paper-and-pencil counterparts, however, most digital vocabulary assessments are linear and adaptive solutions in this domain are scarce. The aims of this study were to compare the effectiveness…
Descriptors: Adaptive Testing, Vocabulary Skills, Computer Assisted Testing, Student Evaluation
Özyurt, Hacer; Özyurt, Özcan – Eurasian Journal of Educational Research, 2015
Problem Statement: Learning-teaching activities bring along the need to determine whether they achieve their goals. Thus, multiple choice tests addressing the same set of questions to all are frequently used. However, this traditional assessment and evaluation form contrasts with modern education, where individual learning characteristics are…
Descriptors: Probability, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Chatzopoulou, D. I.; Economides, A. A. – Journal of Computer Assisted Learning, 2010
This paper presents Programming Adaptive Testing (PAT), a Web-based adaptive testing system for assessing students' programming knowledge. PAT was used in two high school programming classes by 73 students. The question bank of PAT is composed of 443 questions. A question is classified in one out of three difficulty levels. In PAT, the levels of…
Descriptors: Student Evaluation, Prior Learning, Programming, High School Students

Ponsoda, Vicente; Olea, Julio; Rodriguez, Maria Soledad; Revuelta, Javier – Applied Measurement in Education, 1999
Compared easy and difficult versions of self-adapted tests (SAT) and computerized adapted tests. No significant differences were found among the tests for estimated ability or posttest state anxiety in studies with 187 Spanish high school students, although other significant differences were found. Discusses implications for interpreting test…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing

Styles, Irene; Andrich, David – Educational and Psychological Measurement, 1993
This paper describes the use of the Rasch model to help implement computerized administration of the standard and advanced forms of Raven's Progressive Matrices (RPM), to compare relative item difficulties, and to convert scores between the standard and advanced forms. The sample consisted of 95 girls and 95 boys in Australia. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Elementary Education