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Tavares, Walter; Kuper, Ayelet; Kulasegaram, Kulamakan; Whitehead, Cynthia – Advances in Health Sciences Education, 2020
The array of different philosophical positions underlying contemporary views on competence, assessment strategies and justification have led to advances in assessment science. Challenges may arise when these philosophical positions are not considered in assessment design. These can include (a) a logical incompatibility leading to varied or…
Descriptors: Performance Based Assessment, Educational Testing, Test Interpretation, Test Results
Morris, Scott B.; Bass, Michael; Howard, Elizabeth; Neapolitan, Richard E. – International Journal of Testing, 2020
The standard error (SE) stopping rule, which terminates a computer adaptive test (CAT) when the "SE" is less than a threshold, is effective when there are informative questions for all trait levels. However, in domains such as patient-reported outcomes, the items in a bank might all target one end of the trait continuum (e.g., negative…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Item Response Theory
O'Neill, Rachel; Cameron, Audrey; Burns, Eileen; Quinn, Gary – Psychology in the Schools, 2020
Attitudes to sign languages or language policies are often not overtly discussed or recorded but they influence deaf young people's educational opportunities and outcomes. Two qualitative studies from Scotland investigate the provision of British Sign Language as accommodation in public examinations. The first explores the views of deaf pupils and…
Descriptors: Foreign Countries, Alternative Assessment, Sign Language, Deafness
Angelone, Anna Maria; Galassi, Alessandra; Vittorini, Pierpaolo – International Journal of Learning Technology, 2022
The adoption of computerised adaptive testing (CAT) instead of classical testing (FIT) raises questions from both teachers' and students' perspectives. The scientific literature shows that teachers using CAT instead of FIT should experience shorter times to complete the assessment and obtain more precise evaluations. As for the students, adaptive…
Descriptors: Adaptive Testing, Computer Assisted Testing, College Freshmen, Student Attitudes
Foster, Colin; Woodhead, Simon; Barton, Craig; Clark-Wilson, Alison – Educational Studies in Mathematics, 2022
In this paper, we analyse a large, opportunistic dataset of responses (N = 219,826) to online, diagnostic multiple-choice mathematics questions, provided by 6-16-year-old UK school mathematics students (N = 7302). For each response, students were invited to indicate on a 5-point Likert-type scale how confident they were that their response was…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Multiple Choice Tests
Andrej Christian Lindholst; Tobias Bøgeskov Eriksen; Søren Valgreen Knudsen – Scandinavian Journal of Educational Research, 2024
Digital transformations within educational systems are recurrently justified by their promise to enhance learning activities and outcomes. We examine this claim in a study of pupils' perception and experiences with computer-based adaptive tests in higher classes in Danish public primary schools. The study relies on survey and interview data and…
Descriptors: Foreign Countries, Student Attitudes, Outcomes of Education, Student Participation
Boorse, Jaclin; Van Norman, Ethan R. – Psychology in the Schools, 2021
Prior research on the Measures of Academic Progress (MAP), a computer-adaptive test distributed by the Northwest Evaluation Association, has primarily focused on the Reading MAP for screening/benchmarking in elementary grades. The purpose of this study was to explore the functional form of growth and the extent to which student variability in…
Descriptors: Achievement Tests, Mathematics Tests, Adaptive Testing, Computer Assisted Testing
Elena C. Papanastasiou; Michalis P. Michaelides – Large-scale Assessments in Education, 2024
Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an attempt to disentangle this relationship and gain further insight into examinees' test-taking processes,…
Descriptors: Grade 4, Testing, Student Behavior, Test Wiseness
James Soland – Journal of Research on Educational Effectiveness, 2024
When randomized control trials are not possible, quasi-experimental methods often represent the gold standard. One quasi-experimental method is difference-in-difference (DiD), which compares changes in outcomes before and after treatment across groups to estimate a causal effect. DiD researchers often use fairly exhaustive robustness checks to…
Descriptors: Item Response Theory, Testing, Test Validity, Intervention
Lena Frenken; Paul Libbrecht; Benjamin Becker; Gilbert Greefrath – International Journal of Mathematical Education in Science and Technology, 2024
The German national educational standards state explicitly that students should be enabled to successfully interact with dynamic geometry software. In a feasibility study on providing a standardized assessment instrument by digital means, in order to assess students' mathematical competencies, the implementation of a task with such a dynamic…
Descriptors: Geometry, Standardized Tests, Foreign Countries, Computer Software
National Assessment of Educational Progress (NAEP), 2024
The National Assessment of Educational Progress (NAEP) is an integral measure of academic progress across the nation and over time. It is the largest nationally representative and continuing assessment of what our nation's students know and can do in various subjects such as civics, mathematics, reading, and U.S. history. The program also provides…
Descriptors: National Competency Tests, School Districts, Educational Assessment, Grade 4
Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
Archana Praveen Kumar; Ashalatha Nayak; Manjula Shenoy K.; Chaitanya; Kaustav Ghosh – International Journal of Artificial Intelligence in Education, 2024
Multiple Choice Questions (MCQs) are a popular assessment method because they enable automated evaluation, flexible administration and use with huge groups. Despite these benefits, the manual construction of MCQs is challenging, time-consuming and error-prone. This is because each MCQ is comprised of a question called the "stem", a…
Descriptors: Multiple Choice Tests, Test Construction, Test Items, Semantics
Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
Eren Can Aybek; Serkan Arikan; Günes Ertas – International Journal of Assessment Tools in Education, 2024
When it is required to estimate item parameters of a large item bank, Multiple Matrix Sampling (MMS) design provides an efficient way while minimizing the test burden on students. The current study exemplifies how to calibrate a large item pool using MMS design for various purposes, such as developing a CAT administration. The purpose of the…
Descriptors: Elementary School Mathematics, Elementary School Students, Grade 4, Item Banks

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