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David Christopher Averett – ProQuest LLC, 2019
The current mixed method study examined the impact of mentoring on a selected group of at risk students attending a north Texas high school. The study compared the group of mentored students to a group of students selected from the list of at risk students attending the same high school. The study examined the grade point average, attendance, and…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Prevention
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Davidson, William B.; Beck, Hall P. – College Student Journal, 2021
The purpose of this investigation was to develop an ultra-short questionnaire that reliably predicted re-enrollment. Two binary stepwise logistic regressions were performed using re-enrollment status as the criterion. The first regression, conducted with a subsample of 4619 undergraduates, reduced 32 items drawn from the College Persistence…
Descriptors: Questionnaires, Test Construction, Identification, Predictor Variables
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Cano, Alberto; Leonard, John D. – IEEE Transactions on Learning Technologies, 2019
Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…
Descriptors: Progress Monitoring, At Risk Students, Disproportionate Representation, Underachievement
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Basford, Letitia; Lewis, Joe; Trout, Muffet – Urban Review: Issues and Ideas in Public Education, 2021
The school-to-prison pipeline is a theoretical construct that explains how disproportionate discipline and exclusionary punishment of Black and Brown students ultimately pushes youth out of mainstream schools and into the criminal justice system (Basford and Lewis in From education to incarceration: dismantling the school to prison pipeline, Peter…
Descriptors: African American Students, Minority Group Students, Disproportionate Representation, Discipline
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Chan, Wing Yi; Kuperminc, Gabriel P.; Seitz, Scot; Wilson, Christyl; Khatib, Nadim – Youth & Society, 2020
This study examined the association between participation in a school-based group-mentoring program (Project Arrive) and academic outcomes in a group of ninth-grade students who had been identified as at high risk of high-school dropout (n = 239). Comparison participants were ninth-grade students with similar levels of risk (n = 980). Using…
Descriptors: Mentors, Grade 9, At Risk Students, Dropout Prevention
Arnold, Christopher; Baker, Tracey – Trentham Books, 2017
This book describes an initiative that has proved effective in keeping more young people from dropping out of education, training or employment. The authors present case studies based on in-depth interviews with participants from five widely divergent European countries--the UK, Spain, the Czech Republic, Hungary and Ireland--which illustrate the…
Descriptors: Dropout Prevention, Case Studies, Interviews, Foreign Countries
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Thumiki, Venkat Ram Raj – International Journal of Higher Education, 2019
Main reasons for student dropout from higher education may be low academic performance, poor socialization skills, low confidence levels, busy social life and financial issues. As students' dropout from higher education has been rising, there is a need to understand this problem for finding suitable solutions. Research objectives for this…
Descriptors: Foreign Countries, College Students, Dropouts, Stopouts
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Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
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Christie, S. Thomas; Jarratt, Daniel C.; Olson, Lukas A.; Taijala, Taavi T. – International Educational Data Mining Society, 2019
Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…
Descriptors: Dropout Prevention, At Risk Students, Artificial Intelligence, Decision Support Systems
Fox, Michelle Margit – ProQuest LLC, 2019
This case study examined the initial implementation of an Early Warning Intervention System (EWIS) across three comprehensive high schools in a large suburban school district in Washington State using both quantitative and qualitative methodologies. The purpose of the study was two-fold: to determine the extent to which the initial application of…
Descriptors: Program Implementation, At Risk Students, High School Students, Suburban Schools
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Helgøy, Ingrid; Homme, Anne; Lundahl, Lisbeth; Rönnberg, Linda – Comparative Education, 2019
Low completion rate in upper secondary education is seen as a big problem in the Nordic countries. School failure has shown to dramatically increase the risks for unemployment and labour market exclusion with severe consequences for both society and the young person. This paper analyses national policy measures to combat low upper secondary…
Descriptors: Foreign Countries, Welfare Services, Secondary School Students, Academic Persistence
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Grimaldi, Emiliano; Landri, Paolo – Comparative Education, 2019
This article presents a critical policy historiography of how Early School Leaving has been understood as a social problem and what policy responses have been enacted to tackle it in the Italian context, devoting a specific attention to the analysis of the translation of EU policy ideas, tools and recipes to reduce ESL. It shows how the…
Descriptors: Governance, Educational Change, Foreign Countries, Dropout Prevention
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Guerrero-Roldán, Ana-Elena; Rodríguez-González, M. Elena; Bañeres, David; Elasri-Ejjaberi, Amal; Cortadas, Pau – International Journal of Educational Technology in Higher Education, 2021
Several tools and resources have been developed in the past years to enhance the teaching and learning process. Most of them are focused on the process itself, but few focus on the assessment process to detect at-risk learners for later acting through feedback to support them to succeed and pass the course. This research paper presents a case…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Technology Uses in Education, Virtual Universities
Massachusetts Department of Elementary and Secondary Education, 2017
The Massachusetts Department of Elementary and Secondary Education (ESE) is focused on supporting educators in the use of data; to this end, ESE developed an Early Warning Indicator System (EWIS) that rolls many student data variables into a single indicator that provides educators with information about which students are at low, moderate, or…
Descriptors: Dropout Prevention, Elementary Secondary Education, Data Use, Public Schools
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Deli, Wu; Kaur, Amrita; Awang-Hashim, Rosna – Malaysian Journal of Learning and Instruction, 2021
Purpose: Given the prevalence of mental health issues among young adolescents and its detrimental effects on academic functioning, Social-Emotional Learning (SEL) interventions are becoming extremely valuable. The current study aims to investigate the effectiveness of two types of SEL interventions delivered by two different types of teachers to…
Descriptors: Social Emotional Learning, Anxiety, Mental Health, Dropout Prevention
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