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Cimpian, Joseph R.; Timmer, Jennifer D. – AERA Open, 2019
Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years,…
Descriptors: LGBTQ People, At Risk Students, Responses, High School Students
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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
Gao, Niu – Public Policy Institute of California, 2021
The abrupt shift to distance learning at the onset of the COVID-19 crisis exacerbated inequalities in California's K-12 system and added urgency to an ongoing discussion about the role of high school graduation policy in promoting equitable student outcomes. More rigorous graduation requirements, particularly in math and science, can improve…
Descriptors: COVID-19, Pandemics, Distance Education, Online Courses
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Ullery, Mary Anne; Katz, Lynne – Journal of Education for Students Placed at Risk, 2017
This article examined transition rates of young children (n = 102) from an early intervention program at the Linda Ray Intervention Program (LRIP) who had documented developmental delays and co-occurring prenatal drug exposure often coupled with verified child maltreatment. Findings indicated that there was significant group improvement from…
Descriptors: Outcomes of Treatment, Early Intervention, Elementary School Students, Developmental Delays
Ticknor, Cindy S.; Shaw, Kimberly A.; Howard, Timothy – Journal of College Reading and Learning, 2014
Many institutions struggle to develop a meaningful way to assess the effectiveness of drop-in tutorial services provided to students. This article discusses the development of a data collection system based on a visitor sign-in system that proved to be an efficient method of gathering assessment data, including frequency of visits, end-of-course…
Descriptors: Tutoring, Instructional Effectiveness, Data Collection, Efficiency
Genao, Soribel – Education and Urban Society, 2015
Students across the nation are encountering more and more difficulties in their transition to high school. Not only are a significant number of students dropping out, but those who stay are also leaving high school without the skills they need to become productive citizens. Several intervention strategies are recommended to help students make a…
Descriptors: Data Collection, Middle School Students, High School Students, Principals
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
Jobs for the Future, 2014
Nationally, more than one million youth drop out of high school each year. One in four young people do not graduate with their age mates. Thus, in recent years, national leaders have directed sustained attention to what they term the "dropout crisis," particularly in high schools that are graduating less than two-thirds of their…
Descriptors: Dropouts, Dropout Prevention, High School Students, Graduation Rate
Bernard, Jean-Marc; Amelewonou, Kokou; Bonnet, Gabrielle; Rubiano-Matulevich, Eliana; Soman, Kouassi; Sonnenberg, Krystyna – Global Partnership for Education, 2014
The 2014/2015 Results for Learning Report: Basic Education at Risk examines the progress achieved by Global Partnership for Education (GPE) partner developing countries over the period 2008-2012. Universal primary education has never been so close, yet there are still 58 million children of primary school age who do not go to school around the…
Descriptors: Developing Nations, Access to Education, Elementary Education, Budgets
Hedley, Mikell Lynne; Templin, Mark A.; Czaljkowski, Kevin; Czerniak, Charlene – Journal of Geoscience Education, 2013
Many 21st century careers rely on geospatial skills; yet, curricula and professional development lag behind in incorporating these skills. As a result, many teachers have limited experience or preparation for teaching geospatial skills. One strategy for overcoming such problems is the creation of a student/teacher/scientist (STS) partnership…
Descriptors: Spatial Ability, High School Students, At Risk Students, Summer Programs
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Offenstein, Jeremy; Moore, Colleen; Shulock, Nancy – Institute for Higher Education Leadership & Policy, 2010
The United States is becoming less globally competitive as other nations move aggressively to educate their populations. To lead the world once again in educational attainment--President Obama's goal by 2020--more Americans will need to enter college. But the biggest challenge isn't college going; it is college completion. Around the country,…
Descriptors: Educational Attainment, Graduation Rate, College Students, Postsecondary Education
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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