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Hemy Ramiel; Eran Fisher – Learning, Media and Technology, 2024
This paper adds an algorithmic epistemology perspective to previous works that examine the datafication of subjective social and emotional characteristics, perceptions, and behaviours. The paper employs a comparative epistemological approach to explore two behavioural educational platforms: RedCritter Teacher and Panorama Education. We unpack…
Descriptors: Epistemology, Social Emotional Learning, Data, Higher Education
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Petya Ilieva-Trichkova; Pepka Boyadjieva; Ralitsa Dimitrova – European Journal of Higher Education, 2024
In the context of higher education's growing significance and the persistence of inequalities in it, the article aims to further develop the understanding of higher education as a public good and to explore its association with social cohesion in a European comparative perspective. It shifts the focus from the content of higher education as a…
Descriptors: Foreign Countries, Prosocial Behavior, Higher Education, Equal Education
Tiffany Bonds Mason – ProQuest LLC, 2021
Schools are frequently seen as the hubs of the community, providing resources and a gathering place for members of the community. The process of surveying the community in order to identify unique needs within the community, and then intentionally forging partnerships capable of ameliorating the specific needs, are strategies used by community…
Descriptors: Community Schools, Schools, Comparative Analysis, Public Schools
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Van der Mierden, Stevie; Spineli, Loukia Maria; Talbot, Steven R.; Yiannakou, Christina; Zentrich, Eva; Weegh, Nora; Struve, Birgitta; Zur Brügge, Talke Friederike; Bleich, André; Leenaars, Cathalijn H. C. – Research Synthesis Methods, 2021
Systematic reviews with meta-analyses are powerful tools that can answer research questions based on data from published studies. Ideally, all relevant data is directly available in the text or tables, but often it is only presented in graphs. In those cases, the data can be extracted from graphs, but this potentially introduces errors. Here, we…
Descriptors: Graphs, Meta Analysis, Data, Correlation
Yixi Wang – ProQuest LLC, 2020
Binary item response theory (IRT) models are widely used in educational testing data. These models are not perfect because they simplify the individual item responding process, ignore the differences among different response patterns, cannot handle multidimensionality that lay behind options within a single item, and cannot manage missing response…
Descriptors: Item Response Theory, Educational Testing, Data, Models
Lockwood, Svetlana – ProQuest LLC, 2016
The goal of biological sciences is to understand the biomolecular mechanics of living organisms. Proteins serve as the foundation for organisms functional analysis and sequence analysis has shown to be invaluable in answering questions about individual organisms. The first step in any sequence analysis is alignment and it is common that even…
Descriptors: Data, Microbiology, Comparative Analysis, Identification
Mississippi Institutions of Higher Learning, 2024
The Fall 2024 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.
Descriptors: Enrollment, Data, On Campus Students, Off Campus Facilities
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De Raadt, Alexandra; Warrens, Matthijs J.; Bosker, Roel J.; Kiers, Henk A. L. – Educational and Psychological Measurement, 2019
Cohen's kappa coefficient is commonly used for assessing agreement between classifications of two raters on a nominal scale. Three variants of Cohen's kappa that can handle missing data are presented. Data are considered missing if one or both ratings of a unit are missing. We study how well the variants estimate the kappa value for complete data…
Descriptors: Interrater Reliability, Data, Statistical Analysis, Statistical Bias
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Yan, Lau; Rosen, Harvey S. – Review of Higher Education, 2016
Observers have expressed concern about growing inequality in resources across universities. But are universities really becoming more unequal? We argue that the typical approach of examining endowment growth alone is not sensible. In line with the literature on household inequality, we focus instead on a comprehensive income measure. We find that…
Descriptors: Universities, Higher Education, Equal Education, Postsecondary Education
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Alverson, Charlotte Y.; Yamamoto, Scott H. – SAGE Open, 2016
In this study, we used a paper-pencil questionnaire to investigate whether teachers, administrators, and parents differed in their preferences and accuracy when interpreting visual data displays for decision making. For the data analysis, we used nonparametric tests due to violations of distributional assumptions for using parametric tests. We…
Descriptors: Visual Aids, Data, Decision Making, Data Analysis
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Kalkan, Ömür K.; Kelecioglu, Hülya; Basokçu, Tahsin O. – International Education Studies, 2018
The application of CDMs to fraction subtraction data revealed problems on the classification of examinees, latent class sizes, and the use of higher-order models. Additionally, selecting the most appropriate model assumes critical importance if there are several appropriate models available for the data. In the present study, DINA-RDINA and…
Descriptors: Comparative Analysis, Models, Item Response Theory, Multivariate Analysis
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Francis, Raymond W.; Deschaine, Mark E. – Online Submission, 2018
One of the largest challenges in educator preparation in higher education is the effective use of data for actionable and meaningful decision making about programs for current and future educators, administrators, and educational leaders. Within programs there are many types of students. These may include elementary, secondary, special education,…
Descriptors: Scaling, Comparative Analysis, Preservice Teacher Education, Data
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Luecht, Richard; Ackerman, Terry A. – Educational Measurement: Issues and Practice, 2018
Simulation studies are extremely common in the item response theory (IRT) research literature. This article presents a didactic discussion of "truth" and "error" in IRT-based simulation studies. We ultimately recommend that future research focus less on the simple recovery of parameters from a convenient generating IRT model,…
Descriptors: Item Response Theory, Simulation, Ethics, Error of Measurement
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Gorard, Stephen – International Journal of Social Research Methodology, 2019
This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each…
Descriptors: Intervals, Statistics, Social Sciences, Foreign Countries
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Eva Ponte – Center for Educational Policy Studies Journal, 2024
Education is seen as a resource at a global level but is currently considered to be in crisis in many parts of the world. This constitutes a significant drawback in terms of humanity's prosperity and well-being since education is the key not only to an educated workforce but also to humane, collaborative, and caring societies. Even within this dim…
Descriptors: Foreign Countries, Grade 8, Grade 4, Mathematics Education
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