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Albreiki, Balqis; Zaki, Nazar; Alashwal, Hany – Education Sciences, 2021
Educational Data Mining plays a critical role in advancing the learning environment by contributing state-of-the-art methods, techniques, and applications. The recent development provides valuable tools for understanding the student learning environment by exploring and utilizing educational data using machine learning and data mining techniques.…
Descriptors: Literature Reviews, Grade Prediction, Artificial Intelligence, Educational Environment
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Foreman-Murray, Lindsay; Krowka, Sarah; Majeika, Caitlyn E. – Preventing School Failure, 2022
Students with disabilities drop out of high school at a higher rate than typically learning students, impacting their short and long-term educational and employment opportunities and making long-term financial stability less likely. In this review, the authors examined the indicators of dropout among students with high-incidence disabilities at…
Descriptors: Students with Disabilities, Dropout Prevention, At Risk Students, Secondary School Students
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Sullivan, Amanda L.; Sadeh, Shanna – Exceptionality, 2016
For the past 30 years, the dropout rate for students with emotional disturbance has hovered around 50%, a rate substantially higher than the dropout rate for students with other disabilities and the general population. This systematic review evaluated the literature published between 1990 and 2013 on the effectiveness of dropout prevention and…
Descriptors: Dropout Prevention, Dropouts, Emotional Disturbances, Dropout Rate
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Halvorsrud, Kristoffer – London Review of Education, 2017
This article presents a review of extant research on student dropout in Norway, originally undertaken as part of a systematic review. The article contextualizes the foundational principle of equality as championed by the welfare state and identifies the significance of dropout in upper secondary education in Norway. The article then assesses…
Descriptors: Foreign Countries, High School Students, Secondary Education, Dropouts
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Timothy Scott; Poonpilas Asavisanu – Higher Education Studies, 2023
This study synthesizes existing research to explore factors affecting student attrition in Thai higher education institutions and develop a causal model for dropout risk. The synthesis uses a mixed-method approach following PRISMA 2020 guidelines, drawing on six years of Thai contextual studies on student attrition, academic intention, commitment,…
Descriptors: Foreign Countries, Undergraduate Students, Dropout Characteristics, At Risk Students
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Véliz Palomino, José Carlos; Ortega, Ana Maria – Journal on Efficiency and Responsibility in Education and Science, 2023
College dropout proves to be a critical problem in undergraduate programs that directly affects students and the related community, due to direct economic losses and significant social costs. This article addresses a systematic review of the literature on predictors of student dropout intention in higher education, focusing on scientific…
Descriptors: Dropouts, Intention, Undergraduate Students, Economic Factors
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Davidson, J. Cody; Wilson, Kristin B. – Community College Journal of Research and Practice, 2017
Historically, higher education research has focused on traditional students (i.e., recent high school graduates at a residential, 4-year institutions), but community college students are quickly becoming the new traditional student (Jenkins, 2012). In the fall of 2011, more than one third (36%) of all students enrolled in postsecondary education…
Descriptors: Higher Education, Community Colleges, Dropout Characteristics, Dropout Rate
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Barragán-Moreno, Sandra Patricia; Lozano-Galindo, Oscar Leonardo – European Journal of Educational Research, 2022
Student dropout, defined as the temporary or definitive suspension of the exercise of the right to education, is attributable to multiple variables classified into individual, academic, institutional, and socioeconomic determinants which may be exacerbated in the context of the Coronavirus disease (COVID-19) pandemic. Consequently, this work aims…
Descriptors: Predictor Variables, Foreign Countries, COVID-19, Pandemics
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Meyer, Holly S.; Preisman, Kristi A.; Samuel, Anita – Online Learning, 2022
The rate of online graduate education programs grows annually. Yet, dropout rates and student satisfaction rates continue to lag behind in-person programs. Advising practices may offer unique opportunities to reverse or alter these challenges. While the body of literature about undergraduate advising and online advising is robust, literature on…
Descriptors: Graduate Students, Electronic Learning, Academic Advising, Communication (Thought Transfer)
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Olugbara, Cecilia Temilola; Letseka, Moeketsi; Akintolu, Morakinyo – Journal of Educators Online, 2023
Student support is a fundamental component of any open and distance learning (ODL) system to mitigate the intrinsic challenges of student isolation, high dropout rates, and low throughput. Research interest in student support is continually growing as a panacea for enhancing student success in ODL, but relatively little research has been carried…
Descriptors: Student Personnel Services, Academic Achievement, Open Education, Distance Education
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Marlow, Sallyanne A.; Rehman, Neelofar – Educational and Developmental Psychologist, 2021
School absenteeism and dropout can have long-term detrimental consequences for young people. It is empirically established that children exposed to positive family processes (PFP) such as parental involvement, support, and high educational expectations have a reduced likelihood of being absent and dropping out of school. In contrast, negative…
Descriptors: Attendance, Dropouts, Family Influence, Correlation
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Chu, Hui-Chun; Hwang, Gwo-Haur; Tu, Yun-Fang; Yang, Kai-Hsiang – Australasian Journal of Educational Technology, 2022
Artificial intelligence (AI) in higher education has proven to be a useful learning technology; it can help learners achieve positive learning outcomes in the learning environment and can also enable teachers to better understand learners' learning status and further improve their teaching strategies. This study reviewed the top 50 AI in higher…
Descriptors: Artificial Intelligence, Higher Education, Trend Analysis, Educational Research
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Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate
Wilkins, Julia; Huckabee, Sloan – National Dropout Prevention Center for Students with Disabilities, 2014
This paper presents a review of the literature on dropout prevention interventions for students with disabilities. A variety of search methods, including electronic library searches, hand searches of journals, and Internet searches were used to acquire the widest possible set of research studies. To be included in this review, the studies must…
Descriptors: Dropout Prevention, Intervention, Disabilities, Literature Reviews
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Hash, Phillip M. – Update: Applications of Research in Music Education, 2022
The purpose of this review was to synthesize the literature on attrition and retention in instrumental music and to identify strategies to encourage students' continued participation in school bands and orchestras. Retaining members from 1 year to the next is a key factor in building ensembles and helping individual musicians reach their full…
Descriptors: Music Activities, Music Education, Literature Reviews, Persistence
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