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Najib A. Mozahem – Sage Research Methods Cases, 2021
The internet has had a vast and pervasive effect on many industries. It has resulted in the creation of new industries and has overhauled the dynamics that governed existing industries. One of the most traditional industries that is now struggling to cope with the changes brought on by the internet is the industry of higher education. Students can…
Descriptors: Social Sciences, Electronic Learning, Learning Management Systems, Higher Education
Käser, Tanja; Schwartz, Daniel L. – International Journal of Artificial Intelligence in Education, 2020
Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning behavior becomes especially important, when dealing with open-ended exploration environments,…
Descriptors: Inquiry, Learning Strategies, Outcomes of Education, Academic Achievement
Kueser, Justin B.; Leonard, Laurence B. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Studies have shown that children with typical development (TD) respond to frequency and predictability when repeating nonidiomatic multiword sequences (e.g., "go wash your hands"). We extended these findings by explicitly examining the interaction between frequency and predictability in a repetition task for children with…
Descriptors: Developmental Delays, Language Impairments, Language Acquisition, Incidence
Rebecca G. Mathien; Beth Cochran; Aimee K. Johnson; A. Laura Dengo – Journal of American College Health, 2024
Objective: To understand the wellness needs of university employees to design more effective and inclusive worksite wellness programs (WWP) for health promotion. Methods: Cross-sectional assessment of university employees' wellness needs (online survey, n = 639). Results: Employees were most interested in physical activity (PA), nutrition, and…
Descriptors: Wellness, Employees, School Personnel, Health Promotion
Jones, Vinetta C.; Anderson, Kenneth Alonzo; Mahmood, Mohammad; Johnson, Ayanna – Urban Education, 2023
In this article, we review factors that are associated with science, technology, engineering, and mathematics (STEM) achievement and describe the development of the Predictors of Black Outcomes in STEM Survey (PBOSS). We retain a well-fitted three-factor model (engagement, continuity, and guiding functions) and find that the PBOSS scores are…
Descriptors: Predictor Variables, African American Students, Outcomes of Education, STEM Education
Gutierrez-Pachas, Daniel A.; Garcia-Zanabria, Germain; Cuadros-Vargas, Alex J.; Camara-Chavez, Guillermo; Poco, Jorge; Gomez-Nieto, Erick – Education Sciences, 2022
Computer science is a dynamic field of study that requires constant review and updating of the curricular designs in academic programs--in general, measuring the impact of plan changes has been little explored in the literature. In most cases, it focuses only on structuring its curricula, leaving aside several factors associated with important…
Descriptors: Curriculum Design, Educational Change, Computer Science Education, Case Studies
Bleiberg, Joshua – Journal of Education Policy, 2021
This study explores spillover effects between national security and education issues. I examine whether the rise of new foreign threats is correlated with education issues rising onto the congressional agenda and with the passage of education laws. To answer this question several data sources on military conflicts and congressional activity from…
Descriptors: Educational Change, Educational Policy, National Security, Educational Legislation
Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
Waheed, Shaikh Abdul; Khader, P. Sheik Abdul – SAGE Open, 2021
Earlier studies established the role of demographic and temperamental features (DTFs) in the adaptation of childhood stuttering. However, these studies have been short on examining the latent interrelationships among DTFs and not utilizing them in predicting this disorder. This research article endeavors to examine latent interrelationships among…
Descriptors: Stuttering, Individual Characteristics, Personality Traits, Demography
Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
Cahan, Sorel; Nirel, Ronit; Gamliel, Eyal – Higher Education Studies, 2018
Predictive validity considerations in selection dictate choice of the predictor with the highest predictive validity. Implementation of this principle in any specific selection process inevitably entails choice between imperfectly correlated alternative predictors, real or hypothetical, which are equivalent in terms of predictive validity. We show…
Descriptors: Predictor Variables, Higher Education, Predictive Validity, Correlation
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Fuchsman, Dillon; Sass, Tim R.; Zamarro, Gema – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Teacher turnover has adverse consequences for student achievement and imposes large financial costs for schools. Some have argued that high-stakes testing may lower teachers' satisfaction with their jobs and could be a major contributor to teacher attrition. In this paper, we exploit changes in the tested grades and subjects in Georgia to study…
Descriptors: Testing, Faculty Mobility, Teacher Distribution, High Stakes Tests
Walton, Kate E.; Allen, Jeff; Burrus, Jeremy; Murano, Dana – ACT, Inc., 2022
Social and emotional (SE) skills are known to be linked with many important life outcomes, including academic performance, performance on standardized college entrance exams, and college enrollment, although research on enrollment is limited. In this report, the authors present data points from a study that evaluated test-criterion validity…
Descriptors: Social Development, Emotional Development, College Attendance, Postsecondary Education
Dockx, Jonas; De Fraine, Bieke – School Effectiveness and School Improvement, 2019
Most studies on the effects of tracks during secondary education focus on specific short-term academic performance indicators. This study compared the effects of tracks on long-term unemployment from 1995 to 2015, using a Flemish longitudinal cohort study (4,333 students in 54 schools). Tracks in Flanders have a hierarchy in mean academic ability.…
Descriptors: Unemployment, Economic Impact, Employment Patterns, Probability

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