Publication Date
In 2025 | 4 |
Since 2024 | 40 |
Since 2021 (last 5 years) | 226 |
Since 2016 (last 10 years) | 517 |
Since 2006 (last 20 years) | 1179 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Practitioners | 379 |
Policymakers | 222 |
Administrators | 161 |
Teachers | 113 |
Researchers | 60 |
Parents | 44 |
Counselors | 29 |
Community | 26 |
Students | 17 |
Support Staff | 2 |
Location
California | 111 |
Texas | 104 |
New York (New York) | 88 |
Canada | 84 |
Florida | 74 |
New York | 73 |
Ohio | 52 |
Pennsylvania | 49 |
North Carolina | 48 |
United States | 48 |
Australia | 43 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 7 |
Meets WWC Standards with or without Reservations | 10 |
Does not meet standards | 15 |
Stephanie A. Brown – ProQuest LLC, 2023
The purpose of this program evaluation was to evaluate the impact of CORE District's Breakthrough Success Community (BTSC) Program at an urban Title I high school located in Southern California. BTSC aims to improve the ninth-grade experience through a focus on five key change drivers and the implementation of improvement science. Through teacher…
Descriptors: Program Evaluation, Urban Schools, Disadvantaged Schools, High Schools
Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention
Shiba, S. Dini; Xavier, R. Sharwin; Sneha, J. Sherin; Shobana, G. – Journal on School Educational Technology, 2022
The growing number of educational options and job opportunities has made career planning increasingly complex and uncertain. To help students navigate these choices, this paper introduces Career Guidance Application (CGA), a tool designed to assist secondary level students (grades 9-12) in selecting their field of study based on their academic and…
Descriptors: Secondary School Students, Career Guidance, Career Planning, Vocational Interests
Pal, Monojit – Shanlax International Journal of Education, 2022
Quality education is a prerequisite and essence of human development. At present, India has improved a lot, but, in some cases, it still needs some improvement like retention and enrollment of students in education. The drop-out problem is a major in India. During this pandemic situation, drop-out problems become a significant issue. Researchers…
Descriptors: Foreign Countries, Dropout Prevention, Academic Persistence, COVID-19
College Completion Network, 2022
The College Completion Network was established to expand the field's understanding of promising strategies that could support more students in attaining degrees at open- and broad-access institutions. Funded by a 6-year grant (2017-2022) from the Institute of Education Sciences, the network brought together research teams focused on postsecondary…
Descriptors: College Students, Open Education, Academic Persistence, School Holding Power
Buzgar, Ramona; Opre, Dana; Pintea, Sebastian; Opre, Adrian – Journal of Educational Sciences, 2021
Remedial activities are considered by many authors as an effective strategy for preventing and reducing school dropout. In recent years however, numerous studies showed evidence that we cannot point to one factor that influences the decision to leave school and to only one strategy to prevent or reduce it. Meanwhile the results in the field of…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Remedial Instruction
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
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
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