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Preel-Dumas, Camille; Hendra, Richard; Denison, Dakota – MDRC, 2023
This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…
Descriptors: Labor Force Development, Programs, Prediction, Success
Anzelone, Caitlin Platania – MDRC, 2023
11 community colleges in New Jersey and two Historically Black Community Colleges (one in Alabama and one in Mississippi) joined the OnPath project, which had the goal to help community college students stay enrolled during the pandemic. OnPath facilitated a powerful combination of people and knowledge by bringing together college staff members…
Descriptors: Community Colleges, Black Colleges, Academic Persistence, Dropout Prevention
European Union, 2022
This staff working document is intended to accompany and support the Commission proposal for a Council Recommendation Pathways to School Success, which will repeal and replace the 2011 Council Recommendation on policies to reduce early school leaving. The staff working document sets out in more detail and depth the concepts put forward in the…
Descriptors: Dropout Prevention, Academic Achievement, Underachievement, Dropout Characteristics
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Coulangeon, Philippe; Fougère, Denis – British Journal of Sociology of Education, 2022
This article assesses the impact of a two-year long project-based learning program conducted by the National Opera of Paris in a large number of middle schools located in underprivileged areas, aiming at preventing school dropout and tackling educational inequalities by providing disadvantaged students with the opportunity to discover the world of…
Descriptors: Foreign Countries, Middle School Students, Disadvantaged, Opera
Randi Mayers – ProQuest LLC, 2022
First-generation students comprise nearly half of the college going population, but are also disproportionately more likely to drop out of college before their third year (RTI International, 2019). Scholars tend to argue that first-generation college students lack the social capital, or access to resource rich networks that can provide information…
Descriptors: First Generation College Students, At Risk Students, Student Needs, Student Attitudes
David N. Dawson Jr. – ProQuest LLC, 2023
The purpose of this paper was to investigate the interventions and strategies used with students considered at-risk of dropping out of high school in Missouri public high schools. Self-determination theory was used to explain how students became motivated to stay in school when their need for competence, connection, and autonomy are fulfilled.…
Descriptors: At Risk Students, Personal Autonomy, Competence, High Schools
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Reindl, Stefan – International Journal of Learning Technology, 2021
Emotion (or affective) artificial intelligence (AI) is a hot topic within the greater field of AI, in both, academic as well as practitioner circles. One of the industries with great potential for AI implementation is education. While emotion AI is commonly referred to as a field of growing interest, research in the specific context of education…
Descriptors: Emotional Response, Artificial Intelligence, Educational Research, Technology Uses in Education
Bettinger, Eric P.; Castleman, Benjamin L.; Choe, Alice; Mabel, Zachary – Grantee Submission, 2021
Nearly half of students who enter college do not graduate. The majority of efforts to increase college completion have focused on supporting students before or soon after they enter college, yet many students drop out after making significant progress towards their degree. In this paper, we report results from a multi-year, large-scale…
Descriptors: College Students, At Risk Students, School Holding Power, Academic Persistence
Abba Giza – Online Submission, 2021
This paper explores the factors contributing to high dropout rates in U.S. education, particularly in higher education, where 40% of students leave before completing their degrees. It examines causes such as financial difficulties, mental health issues, and lack of engagement, and discusses strategies to reduce dropouts. Key approaches include…
Descriptors: Dropout Rate, Dropout Prevention, College Students, Commuting Students
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Kochanek, Julie; Scholz, Carrie; Monahan, Brianne; Pardo, Max – Teachers College Record, 2020
Background/Context: Emerging experiences suggest that research-practice partnerships (RPPs) can benefit both research and practice. As researchers and practitioners become part of the same social network, they also can become trusted sources of information for one another. By modeling the research use process, practitioners can incorporate what…
Descriptors: Dropout Prevention, Educational Research, Partnerships in Education, Trust (Psychology)
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Grant, Jessica; Yokum, Russell; Holzman, Glenn – Journal of At-Risk Issues, 2020
Based on existing empirical research, schools continue to use single intervention programs for intervening on behalf of at-risk students despite the fact that those programs do not meet with significant success in decreasing dropout rates. The problem is that the phenomenon of multidimensional approaches to intervening on behalf of ninth-grade…
Descriptors: Holistic Approach, Intervention, At Risk Students, High School Students
Joy Davis Lee – ProQuest LLC, 2020
Each year approximately 1.3 million students dropout of high school and an estimated 40% of minority students do not graduate on time (Roybal, Thornton, & Usinger, 2014). In high school, 22% of students repeat 9th-grade classes because students fail to make a smooth transition. This gives the 9th-grade the highest enrollment rate and the…
Descriptors: High School Freshmen, Middle School Students, Transitional Programs, Grade 9
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De Silva, Liyanachchi Mahesha Harshani; Chounta, Irene-Angelica; Rodríguez-Triana, María Jesús; Roa, Eric Roldan; Gramberg, Anna; Valk, Aune – Journal of Learning Analytics, 2022
Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…
Descriptors: College Students, Dropouts, Dropout Prevention, Data Analysis
Dixie Grunenfelder; Kefi Andersen; Mandy Paradise – Washington Office of Superintendent of Public Instruction, 2023
The Legislature established the Graduation: A Team Effort (GATE) Advisory (originally known as Building Bridges Workgroup) in 2007 to keep all students visible and on track to graduate from high school. The state's ongoing engagement and reengagement efforts are based on the three major recommendations of the original Building Bridges Workgroup:…
Descriptors: Dropout Prevention, High School Students, Academic Persistence, School Holding Power
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Weinstein, Jodie; Villares, Elizabeth; Brigman, Greg – Journal for Specialists in Group Work, 2021
The focus of this study is to evaluate the effectiveness of the Student Success Skills group counseling (SSSGC) intervention with grade 9 students identified as at risk to dropout. This study analyzed two years of non-identifiable student data (N = 167) collected by school counselors at one high school in south Florida. An analysis of covariance…
Descriptors: Intervention, Dropout Prevention, Group Counseling, Skill Development
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