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Li, Warren; Sun, Kaiwen; Schaub, Florian; Brooks, Christopher – International Journal of Artificial Intelligence in Education, 2022
Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases…
Descriptors: College Students, Learning Analytics, Student Attitudes, Informed Consent
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C. J. Appleton; Dara Shifrer; Cesar J. Rebellon – Journal of Early Adolescence, 2024
The literature linking adulthood criminality to cumulative disadvantage and early school misbehavior demonstrates that understanding the mechanisms underlying student behavior and the responses of teachers and administrators is crucial in comprehending racial/ethnic disparities in actual or perceived school misbehavior. We use data on 19,160 ninth…
Descriptors: Data Use, Racial Differences, Behavior Problems, Student Behavior
Elise Swanson; Joseph Kitchen; Tatiana Melguizo; Francisco Martorell – Annenberg Institute for School Reform at Brown University, 2020
We examine the impact of the Thompson Scholars Learning Community (TSLC), a comprehensive college transition program serving students with a variety of majors, on students' science, technology, engineering, and math (STEM)-related outcomes. We use an explanatory mixed-methods design, which prioritizes the quantitative analyses and uses qualitative…
Descriptors: STEM Education, School Transition, Communities of Practice, Student Experience
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Lessne, Deborah; Yanez, Christina – National Center for Education Statistics, 2016
This document reports data from the 2015 School Crime Supplement (SCS) to the National Crime Victimization Survey (NCVS). The Web Tables show the extent to which students with different personal characteristics report being bullied. Estimates include responses by student characteristics: student sex, race/ethnicity, grade, and household income.…
Descriptors: Bullying, Student Reaction, Crime, School Statistics
Temkin, Deborah; Fulks, Emily – Child Trends, 2021
The COVID-19 pandemic has fundamentally changed the ways schools and other youth-serving agencies are operating. To prevent the continued spread of the virus, many schools and agencies have moved to virtual only or hybrid virtual/in-person activities. Along with adapting many other activities, schools and agencies' approaches to bullying…
Descriptors: Bullying, Prevention, Legislation, Board of Education Policy
Bos, Johannes M.; Dhillon, Sonica; Borman, Trisha – American Institutes for Research, 2019
This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…
Descriptors: Grade 9, High Schools, High School Freshmen, Program Effectiveness
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Ling, Guangming – International Journal of Testing, 2016
To investigate possible iPad related mode effect, we tested 403 8th graders in Indiana, Maryland, and New Jersey under three mode conditions through random assignment: a desktop computer, an iPad alone, and an iPad with an external keyboard. All students had used an iPad or computer for six months or longer. The 2-hour test included reading, math,…
Descriptors: Educational Testing, Computer Assisted Testing, Handheld Devices, Computers
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Carney, Tara; Myers, Bronwyn J.; Louw, Johann; Lombard, Carl; Flisher, Alan J. – Journal of Adolescence, 2013
Research has shown a positive relationship between substance use and delinquent-type behaviours among adolescents. The aim of this study is to explore the temporal relationships between these outcomes through secondary data analysis of a longitudinal study of high-school students' risk behaviours. Two regression models were compared and gender,…
Descriptors: Adolescents, Foreign Countries, Data Analysis, Drug Use
Miech, Richard A.; Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – Institute for Social Research, 2015
Substance use is a leading cause of preventable morbidity and mortality, and it is in large part why people in the U.S. have the highest probability among 17 high-income nations of dying by age 50. Substance use is also an important contributor to many social ills including child and spouse abuse, violence more generally, theft, suicide, and more;…
Descriptors: National Surveys, Drug Use, Incidence, Student Attitudes
Temkin, Deborah; Greenfield, Suzanne – Child Trends, 2019
Strong anti-bullying policies are foundational to effective bullying prevention. The Youth Bullying Prevention Act of 2012 (YBPA; DC Law L19-167) is among the most comprehensive bullying prevention policies across the United States and its territories. The law and its implementing regulations require all schools and youth-serving agencies…
Descriptors: Bullying, Prevention, Legislation, Board of Education Policy
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Yeung, Fanny P.; Johnston, Marc P. – Journal of Diversity in Higher Education, 2014
This study explored the influences of a racially biased incident targeting Asian students at a compositionally diverse public research institution on the U.S. West coast after an unplanned incident that occurred during data collection of the Diverse Learning Environments survey. This occurrence created a unique opportunity to explore how 2 cohorts…
Descriptors: Asian American Students, Racial Bias, Research Universities, Data Collection
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Snyder, Thomas D.; de Brey, Cristobal; Dillow, Sally A. – National Center for Education Statistics, 2019
The 2017 edition of the "Digest of Education Statistics" is the 53rd in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Elementary Secondary Education, Postsecondary Education, Federal Aid, Educational Finance
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Shippen, Margaret E.; Patterson, DaShaunda; Dunn, Caroline; Derzis, Nicholas C.; Nelson, Cindy L.; Houchins, David E. – Journal of Correctional Education, 2010
The purpose of this study was to evaluate the writing skills of incarcerated males and to examine differences in these skills based on age and race. All participants (n=115) were male, so gender was not analyzed. Data analysis consisted of descriptive statistics as well as a Multivariate Analysis of Variance (MANOVA). Results indicated wide…
Descriptors: Writing (Composition), Student Attitudes, Multivariate Analysis, Data Analysis
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Attwood, Gaynor; Croll, Paul – International Journal of Research & Method in Education, 2011
The paper investigates the attitudes of young people in England towards schooling and education and the relationship of these attitudes to intentions for educational participation and to various background characteristics of the young people. It provides an example of secondary data analysis through using the Longitudinal Survey of Young People in…
Descriptors: Family Characteristics, Young Adults, Foreign Countries, Data Analysis
Sindel-Arrington, Patricia – ProQuest LLC, 2010
This study examines the use of Internet online polling at a suburban junior high school as a means for decision makers to systematically acquire student perceptions about local conditions of learning. Federal and state mandates result in curricular, instructional, evaluative, and organizational changes that affect students' conditions of learning.…
Descriptors: Student Attitudes, Time Management, Grade 8, Internet
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