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Showing 1 to 15 of 81 results Save | Export
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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
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Francesco Innocenti; Math J. J. M. Candel; Frans E. S. Tan; Gerard J. P. van Breukelen – Journal of Educational and Behavioral Statistics, 2024
Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…
Descriptors: Sample Size, Multivariate Analysis, Error of Measurement, Regression (Statistics)
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Djalal, Farah Mutiasari; Hampton, James A.; Storms, Gert; Heyman, Tom – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The present study investigated the relationship between category extension and intension for 11 different semantic categories. It is often tacitly assumed that there is a (strong) extension-intension link. However, a recent study by Hampton and Passanisi (2016) examining the patterns of stable individual differences in concepts across participants…
Descriptors: Classification, Semantics, Evaluative Thinking, Correlation
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Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth – Digital Education Review, 2018
Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…
Descriptors: Information Retrieval, Data Analysis, Educational Environment, Research Methodology
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Lima, Rodrigo Antunes; Bugge, Anna; Pfeiffer, Karin Allor; Andersen, Lars Bo – Research Quarterly for Exercise and Sport, 2017
Purpose: The purpose of this study was to analyze tracking and stability of motor coordination in children from age 6 years to ages 9 and 13 years. Method: Data were from the Copenhagen School Child Intervention Study. Motor coordination (MC) was measured using the körperkoordinationstest für Kinder (KTK) test. The crude performance score on every…
Descriptors: Perceptual Motor Coordination, Children, Preadolescents, Early Adolescents
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Clark, Christopher H. – Theory and Research in Social Education, 2017
As American politics becomes more polarized, it is increasingly necessary for teachers to understand the relationship between education and partisan behavior. Using data from a 2012 CIRCLE survey of 18-24-year-olds, I examine the relationship between students' educational experiences (focusing on exposure to high-quality civics instruction and…
Descriptors: Voting, Citizen Participation, Correlation, Teaching Methods
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Gerlsma, Coby; Lugtmeyer, Valerie – Journal of School Violence, 2018
Victims of injustice and aggression may have strong feelings about the perpetrator(s) that may impede their efforts to cope with the victimizing experience. We examined to what extent adolescents' interpersonal responses to victimization in terms of revenge and forgiveness depend on offense type. Of 455 Dutch students from various educational…
Descriptors: Victims of Crime, Prosocial Behavior, Antisocial Behavior, Adolescents
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Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2015
Aggregate-level conditional status metrics (ACSMs) describe the status of a group by referencing current performance to expectations given past scores. This article provides a framework for these metrics, classifying them by aggregation function (mean or median), regression approach (linear mean and nonlinear quantile), and the scale that supports…
Descriptors: Expectation, Scores, Academic Achievement, Achievement Gains
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Reckdenwald, Amy; Ford, Jason A.; Murray, Brittany N. – Journal of Child & Adolescent Substance Abuse, 2016
It is well-known that college students are at an increased risk for alcohol use and binge drinking compared to their same-age peers who are not in college. We use Moffitt's developmental taxonomy, specifically, her discussion of adolescence-limited offending, to contextualize this finding regarding this minor form of deviance. We also incorporate…
Descriptors: Adolescents, Longitudinal Studies, Classification, Alcohol Abuse
Dwyer, Theodore J. – ProQuest LLC, 2016
There is a great deal of concern regarding teacher impacts on student achievement being used as a substantial portion of a teacher's performance evaluation. This study investigated the degree of concordance and discordance between mathematics teacher ranking using value tables and covariate regression, which have both been used as measures for…
Descriptors: Value Added Models, Teacher Influence, Academic Achievement, Performance Based Assessment
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Farren, G. L.; Zhang, T.; Martin, S. B.; Thomas, K. T. – Journal of American College Health, 2017
Objective: To examine the relations of sex, exercise self-efficacy, outcome expectations, and social support with meeting physical activity guidelines (PAGs). Participants: Three hundred ninety-six college students participated in this study in the summer 2013. Methods: Students completed online questionnaires that assessed physical activity…
Descriptors: Guidelines, College Students, Physical Activities, Physical Activity Level
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Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
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Amin, Sarah A.; Wright, Catherine M.; Boulos, Rebecca; Chomitz, Virginia R.; Chui, Kenneth; Economos, Christina D.; Sacheck, Jennifer M. – Journal of School Health, 2017
Background: A supportive school-based physical activity environment (PAE) is integral to children's physical activity behaviors, but less understood is its association with academic achievement. We aimed to assess the association between PAE and academic performance and whether a stronger relationship exists in lower-income schools (LIS) compared…
Descriptors: Standardized Tests, Mathematics Tests, Language Arts, Educational Environment
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Saint-Maurice, Pedro F.; Welk, Gregory J.; Finn, Kevin J.; Kaj, Mónika – Research Quarterly for Exercise and Sport, 2015
Purpose: The purpose of this article was to evaluate the validity of the Progressive Aerobic Cardiovascular and Endurance Run (PACER) test in a sample of Hungarian youth. Method: Approximately 500 participants (aged 10-18 years old) were randomly selected across Hungary to complete both laboratory (maximal treadmill protocol) and field assessments…
Descriptors: Prediction, Foreign Countries, Physical Fitness, Physical Activities
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Reichert, Frank – Educational Research and Evaluation, 2016
The opinions about what characterises a good citizen are diverse, yet survey research usually employs variable-centred analytical strategies to examine people's concepts of good citizenship. The present study builds on a person-centred approach towards good citizenship and validates previously identified types of good citizenship among Australian…
Descriptors: Foreign Countries, Secondary School Students, Student Attitudes, Citizenship
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