Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 28 |
Descriptor
Source
Author
Publication Type
Education Level
Location
Texas (Houston) | 4 |
Hawaii | 3 |
Brazil | 2 |
Oregon | 2 |
Australia | 1 |
Germany | 1 |
Guam | 1 |
Illinois (Chicago) | 1 |
Malaysia | 1 |
Mauritania | 1 |
Netherlands | 1 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 2 |
Elementary and Secondary… | 1 |
Elementary and Secondary… | 1 |
Pell Grant Program | 1 |
Assessments and Surveys
National Assessment of… | 4 |
Iowa Tests of Basic Skills | 3 |
ACT Assessment | 2 |
SAT (College Admission Test) | 2 |
Program for International… | 1 |
Progress in International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Dorothea Glaesser; Christopher Holl; Julia Malinka; Laura McCullagh; Lydia Meissner; Nicole Syringa Harth; Maya Machunsky; Kristin Mitte – Social Psychology of Education: An International Journal, 2024
Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower…
Descriptors: Learner Engagement, Social Environment, At Risk Students, Educational Environment
Hachey, Alyse C.; Conway, Katherine M.; Wladis, Claire; Karim, Shirsti – Journal of Computing in Higher Education, 2022
Even prior to the COVID-19 pandemic, online learning had become a fundamental part of post-secondary education. At the same time, empirical evidence from the last decade documents higher dropout online in comparison to face-to-face courses for some students. Thus, while online learning may provide students access to post-secondary education,…
Descriptors: Undergraduate Students, Student Characteristics, Demography, Online Courses
Nathalie Rzepka; Linda Fernsel; Hans-Georg Müller; Katharina Simbeck; Niels Pinkwart – Computer-Based Learning in Context, 2023
Algorithms and machine learning models are being used more frequently in educational settings, but there are concerns that they may discriminate against certain groups. While there is some research on algorithmic fairness, there are two main issues with the current research. Firstly, it often focuses on gender and race and ignores other groups.…
Descriptors: Algorithms, Artificial Intelligence, Models, Bias
Sergi Martín-Arbós; Elena Castarlenas; Fabia Morales-Vives; Jorge-Manuel Dueñas – Social Psychology of Education: An International Journal, 2024
Dropout is a problematic issue in education due to its high prevalence and impact on students and society. In fact, it can limit students' future options, and it involves a substantial cost for public budgets in most countries. This is not an easy problem to solve, since student dropout is a complex decisional process involving such factors as…
Descriptors: Student Attitudes, Potential Dropouts, Social Influences, Demography
Polloway, Edward A.; Bouck, Emily C.; Yang, Lihua – Education and Training in Autism and Developmental Disabilities, 2019
This study analyzes national demographic data in the field of intellectual disability (ID). The data derive from the recent reports to Congress on IDEA by the US Department of Education (USDOE, 2015, 2016, 2017). The findings include data on school prevalence, ethnicity, educational environments, school exit patterns (i.e., diploma completion,…
Descriptors: Intellectual Disability, Demography, Special Education, Incidence
Bright, Angela – ProQuest LLC, 2018
Educators and the general public are often discouraged by grim reports by the media regarding our nation's standing with regard to education and the policies that attempt to improve that standing. This study examined (a) the percentage of students identified as needing special education, (b) graduation rates, and (c) dropout rates from a sample of…
Descriptors: Educational Legislation, Federal Legislation, Demography, Incidence
Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
Rowtho, Vikash – Higher Education Studies, 2017
Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students…
Descriptors: Foreign Countries, Undergraduate Students, Identification, At Risk Students
Gubbels, Joyce; Coppens, Karien M.; de Wolf, Inge – International Journal of Inclusive Education, 2018
There is a global trend towards including children with special needs in mainstream schools instead of placing them in special schools. However, the numbers of students in special schools varies greatly among regions due to variations in educational systems, funding arrangements -- and the incentives that are associated with these arrangements --…
Descriptors: Inclusion, Foreign Countries, Special Needs Students, Special Schools
Balcazar, Fabricio E.; Awsumb, Jessica; Dimpfl, Shawn; Langi, F. L. Fredrik G.; Lara, Jazmin – Career Development and Transition for Exceptional Individuals, 2018
This study describes an intervention developed to implement several best transition practices with a high risk/high need population. In all, 116 students with disabilities from a charter school for dropouts participated. All students were interviewed at different points in time to track their progress as they completed the program. Records of…
Descriptors: Dropout Programs, Continuation Students, Minority Group Students, Youth Programs
Malek, Marwa Abd; Mohamed, Mawarni – Asian Journal of University Education, 2017
The top ten killer diseases in Malaysia are largely associated with inactivity. In relation to that, Malaysia has come out with policies on prevention, control and management of non-communicable diseases (NCD) into the social, economic and environmental systems through various stakeholders. Thus, this study examined the level of physical activity…
Descriptors: Foreign Countries, Physical Activity Level, Females, Athletics
Jia, Yuane; Konold, Timothy R.; Cornell, Dewey – School Psychology Quarterly, 2016
This study tested the association between school-wide measures of an authoritative school climate and high school dropout rates in a statewide sample of 315 high schools. Regression models at the school level of analysis used teacher and student measures of disciplinary structure, student support, and academic expectations to predict overall high…
Descriptors: High School Students, Dropout Rate, Educational Environment, Regression (Statistics)
Hinz, Serena; Warkentien, Siri; Hong, Yihua – Office of Career, Technical, and Adult Education, US Department of Education, 2017
This report examines differences in enrollment, departure, and completion at postsecondary, subbaccalaureate career and technical education (CTE) programs among a nationally representative sample of students who first entered postsecondary education in academic year 2011-12. Logistic regression results show that female, Hispanic, Pell…
Descriptors: Postsecondary Education, Vocational Education, Demography, Enrollment
Houston Independent School District, 2018
The Migrant Education Program (MEP) is authorized under Title I of the Every Student Succeeds Act (ESSA) of 2015. In an effort to comply with Title I, the HISD MEP works to assist migrant students to overcome the challenges of mobility, cultural and language barriers, social isolation, and other difficulties associated with a migratory lifestyle.…
Descriptors: Migrant Education, Program Evaluation, Disadvantaged Schools, Student Characteristics
Stanwick, John; Forrest, Cameron; Skujins, Peta – National Centre for Vocational Education Research (NCVER), 2017
This report examines the group of young people aged 15-24 that are not engaged in education, employment, or training (NEET). In particular, it examines those who are NEET for six or more months consecutively, known here as persistently NEET. Using data from the Longitudinal Survey of Australian Youth (LSAY), the report investigates the incidence…
Descriptors: Research Reports, Late Adolescents, Individual Characteristics, Longitudinal Studies
Previous Page | Next Page »
Pages: 1 | 2