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Zuhairi, Aminudin; Karthikeyan, Navaratnasamy; Priyadarshana, Saman Thushara – Asian Association of Open Universities Journal, 2020
Purpose: The purpose of this paper is to reveal how support services for open and distance students are designed, developed and implemented to ensure successful learning to take place, with specific references to the Open University of Sri Lanka (OUSL) and Universitas Terbuka (UT) Indonesia. Success in distance learning is one major challenge for…
Descriptors: Foreign Countries, Open Universities, Distance Education, Educational Technology
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Basford, Letitia; Lewis, Joseph D. – AERA Online Paper Repository, 2020
This study explores how two schools serve students who are in danger of or have already experienced the school-to-prison pipeline. The majority of students at these schools faced significant setbacks in traditional settings (e.g., truancy, poor grades, suspension, expulsion, incarceration). At each charter school, the free and reduced lunch…
Descriptors: At Risk Students, Truancy, Low Achievement, Suspension
Bryk, Anthony S.; Thum, Yeow Meng – Consortium for Policy Research in Education, 2017
This paper examines the effects of school characteristics on both the probability of dropping out and the strongest predictor of dropping out -- absenteeism. The authors employ a sub-sample from the High School and Beyond (HS&B) database which contains results of background questionnaires and standardized achievement tests given in 1980 to…
Descriptors: Attendance, Disadvantaged Youth, Dropout Characteristics, Dropout Prevention
Hughes, Glyn; Dobbins, Chelsea – Research and Practice in Technology Enhanced Learning, 2015
The growth of the Internet has enabled the popularity of open online learning platforms to increase over the years. This has led to the inception of Massive Open Online Courses (MOOCs) that globally enrol millions of people. Such courses operate under the concept of open learning, where content does not have to be delivered via standard mechanisms…
Descriptors: Data Analysis, Predictor Variables, Academic Achievement, Online Courses
Tseng, Shu-Fen; Tsao, Yen-Wei; Yu, Liang-Chih; Chan, Chien-Lung; Lai, K. Robert – Research and Practice in Technology Enhanced Learning, 2016
Massive open online courses (MOOCs) have recently gained worldwide attention from educational institutes. MOOCs provide a new option for learning, yet measurable learning benefits of MOOCs still need to be investigated. Collecting data of three MOOCs at Yuan Ze University (YZU), this paper intended to classify learning behaviors among 1489…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Student Behavior
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Regional Educational Laboratory Pacific, 2016
Although high school graduation rates continue to rise in the United States, reaching 81 percent in the 2012-2013 school year (U.S. Department of Education, 2015), dropout remains a pervasive issue for education systems across the nation. In recent years, Early Warning Systems (EWS), which utilize administrative data to identify students at risk…
Descriptors: At Risk Students, Readiness, Dropouts, Educational Strategies
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Holen, Solveig; Waaktaar, Trine; Sagatun, Åse – Scandinavian Journal of Educational Research, 2018
There is increasing awareness of the challenges that young people who do not complete upper-secondary school may encounter. The aim of the current study was to investigate teacher-student relationship as a possible mechanism to reduce the associations between mental health problems, grades, and subsequent noncompletion. Mental health problems and…
Descriptors: Foreign Countries, Dropout Prevention, Teacher Student Relationship, Mental Disorders
Blazer, Christie; Gonzalez Hernandez, Vanessa – Research Services, Miami-Dade County Public Schools, 2018
This report reviews the characteristics of students who are most likely to drop out of school. Most studies have found that dropping out is related to risk factors in four different domains: individual, academic, family-related, and school-related. Local [Miami-Dade County Public Schools] M-DCPS District data were used to examine certain…
Descriptors: Student Characteristics, At Risk Students, Dropouts, Racial Differences
McMahon, Brian M. – ProQuest LLC, 2018
Recent literature on high school graduation and drop out have shifted the focus from identifying causes of drop out to identifying students who are at risk of dropping out. The Early Warning Systems (EWS) used to identify students seek to use existing data to predict which students have a greater risk of dropping out of school so that schools can…
Descriptors: Predictor Variables, High School Graduates, At Risk Students, Dropout Prevention
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McWhirter, Ellen Hawley; Rojas-Araúz, Bryan O.; Ortega, Robert; Combs, Darien; Cendejas, Christina; McWhirter, Benedict T. – Journal of Career Development, 2019
This article describes the rationale, development, delivery, and evaluation strategy of a pilot career intervention program for immigrant Latina/o high school students: Advocating for Latina/o Achievement in School. This innovative intervention aims to prevent dropout and to promote academic success and college and career readiness through a…
Descriptors: Intervention, Career Development, Hispanic American Students, High School Students
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Manzuoli, Cristina Hennig; Pineda-Báez, Clelia; Sánchez, Ana D. Vargas – International Education Studies, 2019
School engagement is a key factor in maintaining school attendance and in diminishing dropout rates. In this study, four dimensions that compose school engagement--cognitive, affective, behavioral, and agentic--were evaluated with a self-report questionnaire (Veiga, 2013), and comparisons between rural and urban schools were made. A total of 802…
Descriptors: Grade 7, Foreign Countries, Learner Engagement, Affective Behavior
Clemens, Elysia V.; Shahan, Liz – Online Submission, 2019
The Colorado Department of Education recently received state funding to implement a Student Re-Engagement Grant Program (SRGP). The goal of this project is to inform the administration of the SRGP by looking back at data from a previously administered grant program, called Colorado Graduation Pathways (CGP). The CGP program was a federally funded…
Descriptors: State Programs, Dropout Programs, Dropout Prevention, Dropouts
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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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Giannakos, Michail N.; Pappas, Ilias O.; Jaccheri, Letizia; Sampson, Demetrios G. – Education and Information Technologies, 2017
Researchers have been working to understand the high dropout rates in computer science (CS) education. Despite the great demand for CS professionals, little is known about what influences individuals to complete their CS studies. We identify gains of studying CS, the (learning) environment, degree's usefulness, and barriers as important predictors…
Descriptors: College Students, School Holding Power, Computer Science Education, Environmental Influences
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Garzón-Umerenkova, Angélica; Gil-Flores, Javier – Electronic Journal of Research in Educational Psychology, 2017
Introduction: Procrastination is the act of delaying necessary tasks to the extreme of experiencing discomfort and negative consequences for the individuals. The presence of nontraditional students at universities is a phenomenon which has increased remarkably over the last decades. This type of university students finds some difficulties during…
Descriptors: Time Management, Academic Persistence, Nontraditional Students, College Students
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