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Showing 1 to 15 of 81 results Save | Export
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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
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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
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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
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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
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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
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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
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Wallis, Julie A. M.; Riddell, Julia K.; Pepler, Debra J.; Smith, Claire; Silvertown, Josh – Mentoring & Tutoring: Partnership in Learning, 2015
In this study, we describe participant characteristics, conversation content, and program success of an online mentoring program for northern Canadian youth. We investigate the associations between demographics and program success. The profiles and conversations of students and mentors that participated in the program between 2009 and 2013 were…
Descriptors: Foreign Countries, Mentors, Participant Characteristics, Computer Mediated Communication
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Choi, Hyoseon; Lee, Yekyung; Jung, Insung; Latchem, Colin – International Review of Research in Open and Distance Learning, 2013
Despite continuous efforts to increase retention, dropout rates are high in distance universities. The objectives of this study were: 1) to investigate the extent and causes of non re-enrollment at a mega university, Korea National Open University; and 2) to suggest actions to improve the retention of students, in general, and those with higher…
Descriptors: Open Universities, Foreign Countries, Distance Education, Dropout Prevention
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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
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McMurrey, Allen L. – Journal of At-Risk Issues, 2014
This paper takes a critical conceptual look at education policy and practice from the passage of the Elementary and Secondary Education Act in 1965 to the present. The paper examines the roots of current United States educational policies, and shows that, in some cases, well-intentioned efforts have had a negative impact on vulnerable populations…
Descriptors: Educational Policy, Educational Practices, Federal Legislation, Educational Legislation
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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
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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
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Gilmore, Devin; Kuperminc, Gabriel P. – American Journal of Evaluation, 2014
Longitudinal substance abuse research has often been compromised by high rates of attrition, thought to be the result of the lifestyle that often accompanies addiction. Several studies have used strategies including collection of locator information at the baseline assessment, verification of the information, and interim contacts prior to…
Descriptors: Longitudinal Studies, Substance Abuse, Models, Attrition (Research Studies)
Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic – European Journal of Open, Distance and E-Learning, 2014
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…
Descriptors: Online Courses, Distance Education, Dropout Characteristics, Prediction
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