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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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
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)
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
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
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
Zengin, Mevsim – Shanlax International Journal of Education, 2021
The aim of this study is to determine the risk level of high school students for dropout. The sample of the research in the descriptive survey model consisted of 578 students studying in public high schools in the central districts of Mersin. The "School Dropout Risk Scale" was used as a data collection tool in the study. According to…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Prevention
Barquero-Ruiz, Carmen; Morales-Belando, María T.; Arias-Estero, José L. – Research Quarterly for Exercise and Sport, 2021
Young players report that they dropout of organized football due to excessive emphasis on technical execution, low success, and the lack of autonomy and motivation experienced by players during training sessions. Purpose: To determine whether a TGfU intervention during a youth football program led players to improve in variables related to…
Descriptors: Athletics, Team Sports, Dropouts, Intervention
Peer reviewedKatherine Lass; Sarah Walsh; Kelly Burgess; Jeremy Kuperberg Levin; Eric Jenner – Grantee Submission, 2025
The purpose of this study was to evaluate Achievement Mentoring, a school-based mentoring program designed to enhance high school student retention and achievement once identified as being at-risk for dropping out before graduation. We present findings from an individual-level randomized controlled trial that included 393 10th and 11th-grade…
Descriptors: Program Evaluation, Program Effectiveness, High School Students, Academic Persistence
Martin, George – ProQuest LLC, 2022
The purpose of this proposed study was to address the issue of the effectiveness of community college retention programs, particularly their impact on poor or low-income students. Indeed, this study sought to identify actions and events that contributed to students choosing to drop out and the positive impact that college retention programs did or…
Descriptors: Community College Students, Disadvantaged, Power Structure, School Holding Power
Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics

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