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Gil, Alfonso J.; Antelm-Lanzat, Ana M.; Cacheiro-González, María L.; Pérez-Navío, Eufrasio – Psychology in the Schools, 2021
The literature on school dropout indicates a set of predictors of dropout. These factors are fundamentally grouped into three dimensions: behavioral, academic, and social. This study aims to analyze the relationships between of dropout. It is proposed that students' socialization abilities in the classroom affect their behavioral engagement, and…
Descriptors: Family Role, Social Support Groups, Learner Engagement, Adolescents
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de Andrade, Tiago Luís; Rigo, Sandro José; Barbosa, Jorge Luis Victória – Informatics in Education, 2021
Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students.…
Descriptors: Learning Analytics, Distance Education, Dropout Prevention, Data Analysis
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Schmidt, Taylor – BU Journal of Graduate Studies in Education, 2021
Earning a high school diploma is a valuable achievement, but it is a challenging goal to achieve for a growing number of at-risk youths. It has become clear how important high school graduation is to the individuals and the community where they live when considering the consequences of graduating versus dropping out. The steps needed to achieve…
Descriptors: High School Students, Graduation Rate, Predictor Variables, At Risk Students
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Nesterowicz, Krzysztof; Bayramova, Ulkar; Fereshtehnejad, Seyed-Mohammad; Scarlat, Ana; Ash, Anthony; Augustyn, Anna Maria; Szádeczky, Tamás – International Journal of Information and Communication Technology Education, 2022
Massive open online courses (MOOCs) aim at unlimited participation and open access via the web. There are concerns about the actual value of such courses. This is predominantly due to higher dropout rates. According to studies, only 7-13% go on to complete these courses. The high dropout rate in MOOCs is a challenge for education providers. This…
Descriptors: Game Based Learning, Online Courses, Dropout Rate, Dropout Prevention
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Guth, Douglas J. – Community College Journal, 2022
Retaining people no longer credited toward college completion--a group known in academic parlance as "stop outs"--is a core concern among administrators seeking to remove barriers to education. Preventing stop outs from becoming stay outs means re-enrolling students beset by debt, or targeting vulnerable demos close to graduation.…
Descriptors: Community Colleges, Two Year College Students, Stopouts, Prevention
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Van Den Berghe, Lana; De Pauw, Sarah; Vandevelde, Stijn – Journal of Educational Research, 2022
Dropping out from school is considered to be a cumulative process of disengagement and it remains a serious concern for educational communities. Current research on school dropout focuses mainly on risk factors and developing evidence-based prevention and intervention programs, although the effectiveness of these programs is not unequivocal. This…
Descriptors: Foreign Countries, Dropout Prevention, Dropouts, Teachers
Michael Waldeck – ProQuest LLC, 2024
To ensure the successful academic progress and enjoyment of postsecondary education students, it is crucial for both instructors and students to make every effort to eliminate or reduce boredom and complacency in the classroom. This factor is particularly important, given the numerous challenges that students currently face, which can hinder their…
Descriptors: Foreign Countries, North Americans, College Faculty, Teacher Attitudes
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Sood, Sakshi; Saini, Munish – Education and Information Technologies, 2021
For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are…
Descriptors: Multivariate Analysis, Artificial Intelligence, Academic Achievement, Prediction
Laurence Thomas Spring – ProQuest LLC, 2021
The education field has long wrestled with how to best handle students who behave badly. Specifically, students who behave in an unsafe manner towards other students present a special conundrum and the traditional response has been to suspend them (Adams, 2000; Black, 2016; Cerrone, 1999; Fabelo et al., 2011; Rumberger et al.,2016). The purpose of…
Descriptors: Intervention, Suspension, Discipline Problems, Discipline Policy
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Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
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Luis, Ricardo M. Meira Ferrão; Llamas-Nistal, Martin; Iglesias, Manuel J. Fernández – Smart Learning Environments, 2022
E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners' involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a…
Descriptors: Artificial Intelligence, Identification, Electronic Learning, Dropout Characteristics
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Rachana Desai; Ansuyah Magan; Robert A.C. Ruiter; Priscilla S. Reddy; Liesbeth A.G. Mercken – SAGE Open, 2024
Out of school youth (OSY) are adolescents who have not completed their schooling and are not currently enrolled in school. This study sought to understand why learners drop out of school by interviewing 41 OSY (aged 13-20 years). Respondent Driven Sampling was used to recruit OSY. Content analysis was used to analyze the data. Gender differences…
Descriptors: Foreign Countries, Adolescents, Out of School Youth, Dropouts
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Javiera De Los Rios, Maria; Aparicio, Elyzza M.; Park, Hyun Ju; Oseguera, Leticia; Conchas, Gilberto Q. – Journal of Leadership, Equity, and Research, 2023
Studying STEM Intervention Program (SIP) retention, particularly what distinguishes those students who remain in the program from those that leave, may be a key to better understand how to keep students on track towards STEM degree completion. This study focuses on the participation of Latinx and other underrepresented racial/ethnic minoritized…
Descriptors: Undergraduate Students, STEM Education, Learner Engagement, Disproportionate Representation
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Mohapi Augustinus Monyan; Rantsie Kgothule – Research in Social Sciences and Technology, 2023
The present paper explores collaborative school board roles in alleviating dropout among Children with Physical Disabilities (CwPDs) in primary schools in Lesotho. An interpretive approach with a qualitative case study design provided insight into how school board members interpret and understand their roles and responsibilities and shed light on…
Descriptors: Board of Education Role, Boards of Education, Dropout Prevention, Students with Disabilities
Sarah Bleam Brown – ProQuest LLC, 2023
Mentorship-based interventions have been found to have positive effects for youth at-risk of negative academic and behavioral outcomes. Implementation studies of school-based mentorship programs, such as the Check & Connect (C&C) program, have mixed results with some studies supporting positive academic and behavioral outcomes for students…
Descriptors: Mentors, Intervention, At Risk Students, Youth
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