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Jessica M. Kramer; Evan E. Dean; Micah Peace Urquilla; Joan B. Beasley; Brad Linnenkamp – Inclusion, 2024
Researchers have implemented inclusive research for over 30 years. This article describes how two research projects collaborated with researchers with disabilities and aligns the description with four attributes of inclusive research developed by a consensus of international experts with and without disabilities. The first project, the Person…
Descriptors: Researchers, Cooperation, Intellectual Disability, Developmental Disabilities
Ella Anghel; Lale Khorramdel; Matthias von Davier – Large-scale Assessments in Education, 2024
As the use of process data in large-scale educational assessments is becoming more common, it is clear that data on examinees' test-taking behaviors can illuminate their performance, and can have crucial ramifications concerning assessments' validity. A thorough review of the literature in the field may inform researchers and practitioners of…
Descriptors: Educational Assessment, Test Validity, Test Items, Reaction Time
Fabio Buttussi; Luca Chittaro – IEEE Transactions on Learning Technologies, 2024
Educational virtual environments (EVEs) can enable effective learning experiences on various devices, including smartphones, using nonimmersive virtual reality (VR). To this purpose, researchers and educators should identify the most appropriate pedagogical techniques, not restarting from scratch but exploring which traditional e-learning and VR…
Descriptors: Test Items, Educational Technology, Computer Simulation, Telecommunications
Chelsey Legacy; Laura Le; Andrew Zieffler; Elizabeth Fry; Pablo Vivas Corrales – Journal of Statistics and Data Science Education, 2024
The "Statistics Teaching Inventory" (STI) was designed to assess the teaching practices of U.S.-based, college-level introductory statistics instructors in a variety of institutions and departments. This instrument has now been updated to reflect current trends and recommendations in statistics education. In this study, we used the STI…
Descriptors: Teaching Methods, Introductory Courses, Statistics Education, College Students
Huayta, Javier; Campbell, Zachary S.; Cooper, Matthew E. – Chemical Engineering Education, 2022
Tutoring websites can facilitate and incentivize students to upload course materials in violation of syllabus and copyright policies. In a study investigating the prevalence of instructor-generated exam problems appearing online, 23.3% of all investigated problems appeared on tutoring websites, with those from an online graduate course appearing…
Descriptors: Test Items, Tutoring, Web Sites, Chemistry
Acar Guvendir, Meltem; Ozer Ozkan, Yesim – International Journal of Assessment Tools in Education, 2022
The aim of this study is to examine how the practice of different item removal strategies during exploratory factor analysis (EFA) phase of scale development change the number of factors, factor loadings, explained variance ratio, and reliability values (a and ?) explained. In the study, data obtained from 379 university students were used for the…
Descriptors: Test Items, Factor Analysis, Factor Structure, Test Construction
Avsar, Asiye Sengül – Participatory Educational Research, 2022
It is necessary to supply proof regarding the construct validity of the scales. Especially, when new scales are developed the construct validity is researched by the Exploratory Factor Analysis (EFA). Generally, factor extraction is performed via the Principal Component Analysis (PCA) which is not exactly factor analysis and the Principal Axis…
Descriptors: Factor Analysis, Automation, Construct Validity, Item Response Theory
Trantham, Pamela S.; Sikorski, Jonathon; de Ayala, R. J.; Doll, Beth – Educational Assessment, Evaluation and Accountability, 2022
There is an extensive need for school systems to reliably assess the data literacy and data use skills of their educators. To address this need, the current study seeks to refine the NU Data Knowledge Scale (NUDKS) for assessing teacher data literacy for classroom data. A data-based decision-making framework provides the theoretical underpinnings…
Descriptors: Item Response Theory, Information Literacy, Data Use, Knowledge Level
Lewis, Jennifer; Lim, Hwanggyu; Padellaro, Frank; Sireci, Stephen G.; Zenisky, April L. – Educational Measurement: Issues and Practice, 2022
Setting cut scores on (MSTs) is difficult, particularly when the test spans several grade levels, and the selection of items from MST panels must reflect the operational test specifications. In this study, we describe, illustrate, and evaluate three methods for mapping panelists' Angoff ratings into cut scores on the scale underlying an MST. The…
Descriptors: Cutting Scores, Adaptive Testing, Test Items, Item Analysis
Ryoo, Ji Hoon; Park, Sunhee; Suh, Hongwook; Choi, Jaehwa; Kwon, Jongkyum – SAGE Open, 2022
In the development of cognitive science understanding human intelligence and mind, measurement of cognitive ability has played a key role. To address the development in data scientific point of views related to cognitive neuroscience, there has been a demand of creating a measurement to capture cognition in short and repeated time periods. This…
Descriptors: Cognitive Ability, Psychometrics, Test Validity, Test Construction
Cuhadar, Ismail; Binici, Salih – Educational Measurement: Issues and Practice, 2022
This study employs the 4-parameter logistic item response theory model to account for the unexpected incorrect responses or slipping effects observed in a large-scale Algebra 1 End-of-Course assessment, including several innovative item formats. It investigates whether modeling the misfit at the upper asymptote has any practical impact on the…
Descriptors: Item Response Theory, Measurement, Student Evaluation, Algebra
Plackner, Christie; Kim, Dong-In – Online Submission, 2022
The application of item response theory (IRT) is almost universal in the development, implementation, and maintenance of large-scale assessments. Therefore, establishing the fit of IRT models to data is essential as the viability of calibration and equating implementations depend on it. In a typical test administration situation, measurement…
Descriptors: COVID-19, Pandemics, Item Response Theory, Goodness of Fit
Frank Feudel; Alexander Unger – International Journal of Mathematical Education in Science and Technology, 2025
In tertiary mathematics courses, students often have difficulties acquiring an understanding of the mathematical concepts covered. One approach to address this problem is to implement so-called Concept-Tests. These are multiple-choice questions whose distractors represent common problems and misconceptions related to the concepts. While there…
Descriptors: College Mathematics, Mathematics Instruction, Mathematical Concepts, Concept Formation
Hongfei Ye; Jian Xu; Danqing Huang; Meng Xie; Jinming Guo; Junrui Yang; Haiwei Bao; Mingzhi Zhang; Ce Zheng – Discover Education, 2025
This study evaluates Large language models (LLMs)' performance on Chinese Postgraduate Medical Entrance Examination (CPGMEE) as well as the hallucinations produced by LLMs and investigate their implications for medical education. We curated 10 trials of mock CPGMEE to evaluate the performances of 4 LLMs (GPT-4.0, ChatGPT, QWen 2.1 and Ernie 4.0).…
Descriptors: College Entrance Examinations, Foreign Countries, Computational Linguistics, Graduate Medical Education
Herbert Kalthoff; Fabian Koelsch – British Journal of Sociology of Education, 2025
University examinations categorise students according to their individual achievements determined by teaching staff. This procedure serves the elicitation and certification of student knowledge and thus reproduces academic hierarchies. Drawing on empirical evidence from ethnographic fieldwork in Engineering and History departments, this article…
Descriptors: College Students, Student Evaluation, Testing, History Instruction

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