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Showing 1 to 15 of 22 results Save | Export
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Lauren A. Mason; Abigail Miller; Gregory Hughes; Holly A. Taylor – Cognitive Research: Principles and Implications, 2025
False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…
Descriptors: Error Correction, Error Patterns, Evaluation Methods, Visual Aids
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Joo, Seang-Hwane; Lee, Philseok – Journal of Educational Measurement, 2022
Abstract This study proposes a new Bayesian differential item functioning (DIF) detection method using posterior predictive model checking (PPMC). Item fit measures including infit, outfit, observed score distribution (OSD), and Q1 were considered as discrepancy statistics for the PPMC DIF methods. The performance of the PPMC DIF method was…
Descriptors: Test Items, Bayesian Statistics, Monte Carlo Methods, Prediction
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Konstantinou, Ioannis Ch. – Open Journal for Educational Research, 2022
The purpose of this article is to review the literature on the issue of grading as a method and technique of expressing students' performance in terms of school reality. Initially, a growing concern about the role of assessment of student's performance in the learning and, generally, in the educational process, is highlighted. Subsequently, the…
Descriptors: Grading, Student Evaluation, Evaluation Methods, Performance Based Assessment
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Paul A. Jewsbury; Matthew S. Johnson – Large-scale Assessments in Education, 2025
The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…
Descriptors: Factor Analysis, Matrices, Regression (Statistics), Educational Assessment
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Suto, Irenka; Williamson, Joanna; Ireland, Jo; Macinska, Sylwia – Research Papers in Education, 2023
Errors that occasionally manifest in examination papers and other educational assessment instruments can threaten reliability and validity. For example, a multiple choice question could have two correct response options, or a geography question containing an inaccurate map could be unanswerable. In this paper we explore this oft-neglected element…
Descriptors: Error Patterns, International Assessment, Test Construction, Failure
Mojgan Rashtchi; SeyyedeFateme Ghazi Mir Saeed – Sage Research Methods Cases, 2023
The reason for conducting the present case study was the problems the researchers encountered during data collection for another research project (Primary Study) entitled "The effects of virtual versus traditional flipped classes on EFL learners' grammar knowledge, self-regulation, and autonomy." Two online questionnaires were…
Descriptors: Data Collection, Questionnaires, Barriers, Research Methodology
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Yue Zhang; Max Stephens; Xiaomei Liu – Asia-Pacific Journal of Teacher Education, 2024
The study aimed to establish an assessment model for mathematics teachers' knowledge of students' misconceptions in the "Space and Shape" domain, develop the testing tool, investigate and analyse the overall and differences in performance, and propose suggestions for improvement. The assessment model included content knowledge and…
Descriptors: Foreign Countries, Elementary School Teachers, Mathematics Teachers, Knowledge Level
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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Li, Liang-Yi; Huang, Wen-Lung – Educational Technology & Society, 2023
With the increasing bandwidth, videos have been gradually used as submissions for online peer assessment activities. However, their transient nature imposes a high cognitive load on students, particularly lowability students. Therefore, reviewers' ability is a key factor that may affect the reviewing process and performance in an online video peer…
Descriptors: Peer Evaluation, Undergraduate Students, Video Technology, Evaluation Methods
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Iria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
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Karakaya, Ferhat; Yilmaz, Mehmet – Journal of Pedagogical Research, 2022
There have been significant advances in science and technology in recent years. Therefore, all countries need qualified people who can take on the challenges of life today and compete in the international arena. This has led countries to adopt new approaches to education. STEM education is one of the latest examples of those approaches. This study…
Descriptors: Science Teachers, Teacher Attitudes, Evaluation Methods, STEM Education
Peguero, Wendy – ProQuest LLC, 2022
Administration and scoring of cognitive assessments have evolved from a paper-based platform to a digital format. Since this advancement, Pearson has created a system (Q-interactive) that allows examiners to administer the WISC-V via two iPads. However, limited research exists exploring the effects of this new method of administration when…
Descriptors: Children, Intelligence Tests, Examiners, Computer Assisted Testing
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Piotr Jabkowski – International Journal of Social Research Methodology, 2023
Social research methodologists have postulated that the transparency of survey procedures and data processing is mandatory for assessing the Total Survey Error. Recent analyses of data from cross-national surveys have demonstrated an increase in the quality of documentation reports over time and significant differences in documentation quality…
Descriptors: Social Science Research, Cross Cultural Studies, Documentation, Error Patterns
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Chan, Sathena; May, Lyn – Language Testing, 2023
Despite the increased use of integrated tasks in high-stakes academic writing assessment, research on rating criteria which reflect the unique construct of integrated summary writing skills is comparatively rare. Using a mixed-method approach of expert judgement, text analysis, and statistical analysis, this study examines writing features that…
Descriptors: Scoring, Writing Evaluation, Reading Tests, Listening Skills
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James Van Loon; Shawn McCann – Journal of Electronic Resources Librarianship, 2024
Academic libraries must provide accessible electronic and information technology to patrons using assistive technology to access library materials. Accessibility of scholarly material is particularly important in the STEM disciplines, where attrition rates of students with disabilities is higher than in other fields. In this study, the…
Descriptors: Academic Libraries, STEM Education, Accessibility (for Disabled), Bibliographic Databases
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