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Jerin Kim; Kent McIntosh – Journal of Positive Behavior Interventions, 2025
We aimed to identify empirically valid cut scores on the positive behavioral interventions and supports (PBIS) Tiered Fidelity Inventory (TFI) through an expert panel process known as bookmarking. The TFI is a measurement tool to evaluate the fidelity of implementation of PBIS. In the bookmark method, experts reviewed all TFI items and item scores…
Descriptors: Positive Behavior Supports, Cutting Scores, Fidelity, Program Evaluation
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Jenae D. Thompson; Walter L. Frazier – Journal of Teaching and Learning, 2025
In this study, an instrument was developed to measure an instructor's value and incorporation of intersectionality theory in the classroom. Through a Delphi study, a list of items was devised, and then a pilot study was conducted to collect responses from 161 participants. The result is the development of the Intersectionality Pedagogy Scale, a…
Descriptors: Intersectionality, Measures (Individuals), Test Construction, Educational Practices
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Katrin Schuessler; Vanessa Fischer; Maik Walpuski – Instructional Science: An International Journal of the Learning Sciences, 2025
Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…
Descriptors: Cognitive Processes, Difficulty Level, Rating Scales, Construct Validity
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Joseph A. Rios; Jiayi Deng – Educational and Psychological Measurement, 2025
To mitigate the potential damaging consequences of rapid guessing (RG), a form of noneffortful responding, researchers have proposed a number of scoring approaches. The present simulation study examines the robustness of the most popular of these approaches, the unidimensional effort-moderated (EM) scoring procedure, to multidimensional RG (i.e.,…
Descriptors: Scoring, Guessing (Tests), Reaction Time, Item Response Theory
Santi Lestari – Research Matters, 2025
The ability to draw visual representations such as diagrams and graphs is considered fundamental to science learning. Science exams therefore often include questions which require students to draw a visual representation, or to augment a partially provided one. The design features of such questions (e.g., layout of diagrams, amount of answer…
Descriptors: Science Education, Secondary Education, Visual Aids, Foreign Countries
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Xueliang Chen; Vahid Aryadoust; Wenxin Zhang – Language Testing, 2025
The growing diversity among test takers in second or foreign language (L2) assessments makes the importance of fairness front and center. This systematic review aimed to examine how fairness in L2 assessments was evaluated through differential item functioning (DIF) analysis. A total of 83 articles from 27 journals were included in a systematic…
Descriptors: Second Language Learning, Language Tests, Test Items, Item Analysis
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Changiz Mohiyeddini – Anatomical Sciences Education, 2025
Medical schools are required to assess and evaluate their curricula and to develop exam questions with strong reliability and validity evidence, often based on data derived from statistically small samples of medical students. Achieving a large enough sample to reliably and validly evaluate courses, assessments, and exam questions would require…
Descriptors: Medical Education, Medical Students, Medical Schools, Tests
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E.?B. Merki; S.?I. Hofer; A. Vaterlaus; A. Lichtenberger – Physical Review Physics Education Research, 2025
When describing motion in physics, the selection of a frame of reference is crucial. The graph of a moving object can look quite different based on the frame of reference. In recent years, various tests have been developed to assess the interpretation of kinematic graphs, but none of these tests have specifically addressed differences in reference…
Descriptors: Graphs, Motion, Physics, Secondary School Students
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Necati Taskin – International Journal of Technology in Education, 2025
This study examines the effect of item order (random, increasingly difficult, and decreasingly difficult) on student performance, test parameters, and student perceptions in multiple-choice tests administered in a paper-and-pencil format after online learning. In the research conducted using an explanatory sequential mixed methods design,…
Descriptors: Test Items, Difficulty Level, Online Courses, College Freshmen
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Sergio Blanco – International Journal of Education in Mathematics, Science and Technology, 2025
Teaching complex subjects in STEM studies to academically heterogeneous students presents significant pedagogical challenges. This study evaluates the impact of an active learning intervention where students created and peer-assessed exam questions. Using a mixed-methods approach, it was compared an intervention group (n=74) against a control…
Descriptors: Student Diversity, STEM Education, Peer Evaluation, Active Learning
Matthew John Davidson – ProQuest LLC, 2022
Digitally-based assessments create opportunities for collecting moment to moment information about how students are responding to assessment items. This information, called log or process data, has long been regarded as a vast and valuable source of data about student performance. Despite repeated assurances of its vastness and value, process data…
Descriptors: Data Use, Psychometrics, Item Response Theory, Test Items
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Roozenbeek, Jon; Maertens, Rakoen; McClanahan, William; van der Linden, Sander – Educational and Psychological Measurement, 2021
Online misinformation is a pervasive global problem. In response, psychologists have recently explored the theory of psychological inoculation: If people are preemptively exposed to a weakened version of a misinformation technique, they can build up cognitive resistance. This study addresses two unanswered methodological questions about a widely…
Descriptors: Games, Intervention, Scores, Pretests Posttests
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Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester – IEEE Transactions on Learning Technologies, 2024
Multiple-choice questions (MCQs) are widely used in digital learning systems, as they allow for automating the assessment process. However, owing to the increased digital literacy of students and the advent of social media platforms, MCQ tests are widely shared online, and teachers are continuously challenged to create new questions, which is an…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Test Construction, Test Items
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Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
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Theodore E. G. Alivio; Claire E. Galloway; Blain Mamiya; Vickie M. Williamson – Journal of Science Education and Technology, 2024
The link between a student's math fluency and their success in general chemistry has been thoroughly documented in the literature. One diagnostic instrument that can be used to assess a student's arithmetic skills is the Math-Up Skills Test (MUST), a 20-question, free-response math test completed in 15 min. The MUST instrument assesses the…
Descriptors: Mathematics Tests, Test Items, Item Analysis, Early Intervention
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