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Demir, Seda – Journal of Educational Technology and Online Learning, 2022
The purpose of this research was to evaluate the effect of item pool and selection algorithms on computerized classification testing (CCT) performance in terms of some classification evaluation metrics. For this purpose, 1000 examinees' response patterns using the R package were generated and eight item pools with 150, 300, 450, and 600 items…
Descriptors: Test Items, Item Banks, Mathematics, Computer Assisted Testing
Adam J. Reeger – ProQuest LLC, 2022
Student growth percentiles (SGPs) have become a common means to measure and report on student academic growth for state education accountability, and some states have adopted SGP cutscores as a means of classifying student growth into categories like "high/medium/low" growth. It has therefore become important to understand properties of…
Descriptors: Academic Achievement, Achievement Gains, Accountability, Regression (Statistics)
Daniel McNeish; Jeffrey R. Harring; Daniel J. Bauer – Grantee Submission, 2022
Growth mixture models (GMMs) are a popular method to identify latent classes of growth trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to apply covariance equality constraints to simplify estimation, though this may be a dubious assumption. Alternative model specifications have been proposed to reduce…
Descriptors: Growth Models, Classification, Accuracy, Sample Size
W. James Potter – Journal of Media Literacy Education, 2022
It has become a common practice to categorize the different perspectives on media education as following either a protectionist approach or an empowerment approach. However, the way scholars write about the distinction between these two approaches can be confusing and sometimes misleading. This article presents an examination into the ways media…
Descriptors: Media Literacy, Literacy Education, Empowerment, Classification
Minjung Kim; Christa Winkler; James Uanhoro; Joshua Peri; John Lochman – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Cluster memberships associated with the mediation effect are often changed due to the temporal distance between the cause-and-effect variables in longitudinal data. Nevertheless, current practices in multilevel mediation analysis mostly assume a purely hierarchical data structure. A Monte Carlo simulation study is conducted to examine the…
Descriptors: Hierarchical Linear Modeling, Mediation Theory, Multivariate Analysis, Causal Models
Fumiko Yoshida; Gary J. Conti; Toyoaki Yamauchi; Misa Kawanishi – Journal of Education and Learning, 2024
This study describes a typology of the teaching styles of practicing teachers. Teaching style refers to a teacher's distinct qualities that are persistent from situation to situation regardless of the content. The Teaching Style Assessment Scale, which measures teaching style, was completed by 1,261 nursing faculty in Japan. Prior cluster analysis…
Descriptors: Teaching Styles, Classification, Teaching Methods, Comparative Analysis
Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
Ragnar Arntzen; Gisela Håkansson – International Journal of Multilingualism, 2024
This article examines multilingual language use in two groups of children, one group at a state school, and one at a private IB school. The IB school has earlier been assumed to reflect an 'elite' multilingualism. Three research questions are posed: to what extent is the children's language use multilingual, what are their typological profiles,…
Descriptors: Multilingualism, Children, Language Usage, Foreign Countries
Travis K. Taylor; Rik Chakraborti; Niall Mahaney – Innovative Higher Education, 2024
This paper analyzes the impact of college athletic reclassification for educational institutions in the United States. Most of America's colleges and universities offer athletic opportunities for their students under NCAA governance. The level of competition and associated resource requirements range from relatively low (Division 3) to high…
Descriptors: College Athletics, Competition, Small Colleges, School Size
Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
Nour Chams; Bouali Guesmi; Mireia Molins i Folch; Rosa Cubel; Jose Maria Gil Roig – Research Evaluation, 2024
This study examines the relationship between sustainability performance and knowledge, as well as between innovation transfer and co-production. It moves away from evaluating processes to exploring impact by investigating how explicit and tacit knowledge archetypes are associated with sustainability performance in the agri-food sector. Applying…
Descriptors: Technology Transfer, Information Dissemination, Epistemology, Sustainability
George Balabanian – ProQuest LLC, 2024
This dissertation aims to analyze the Western Armenian (WA) verbal morphology from a diachronic perspective and perform an internal reconstruction to trace the modern Western dialects back to Classical Armenian (CA) or an older, unattested variant of Armenian. The dissertation's methodology (Chapter 1) is based on comparative dialectology (Chapter…
Descriptors: Indo European Languages, Morphology (Languages), Dialect Studies, Language Research
Johannes König; Sandra Heine; Charlotte Kramer; Jonas Weyers; Michael Becker-Mrotzek; Jörg Großschedl; Charlotte Hanisch; Petra Hanke; Thomas Hennemann; Jörg Jost; Kai Kaspar; Benjamin Rott; Sarah Strauß – Journal of Curriculum Studies, 2024
Numerous reviews have synthesized the empirical research on the effectiveness of teacher education, highlighting teacher education effectiveness research (TEER) as an emerging research paradigm. Our systematic search identified 27 reviews related to TEER, wherein teacher education is broadly understood as comprising all stages of teacher…
Descriptors: Teacher Education Programs, Program Effectiveness, Educational Research, Faculty Development
Matthew J. Madison; Stefanie Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Matthew J. Madison; Stefanie A. Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Journal of Educational Measurement, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics