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Kemper, Lorenz; Vorhoff, Gerrit; Wigger, Berthold U. – European Journal of Higher Education, 2020
We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…
Descriptors: Foreign Countries, Predictor Variables, Potential Dropouts, School Holding Power
Ruud, Collin M.; Saclarides, Evthokia S.; George-Jackson, Casey E.; Lubienski, Sarah T. – Journal of College Student Retention: Research, Theory & Practice, 2018
This exploratory mixed-methods study examines factors contributing to doctoral students' consideration of departure from their graduate programs with comparisons made by sex and affiliation with Science, Technology, Engineering, and Mathematics (STEM) programs. Logistic regression and qualitative analyses point to the importance of strong…
Descriptors: Graduate Students, Doctoral Programs, Potential Dropouts, STEM Education
Tvedt, Maren Stabel; Bru, Edvin; Idsoe, Thormod – Scandinavian Journal of Educational Research, 2021
Teachers are crucial agents in adolescents' school life, and teachers' roles involve both academic and socio-emotional functions. This study examined how first-year students in upper secondary school in Norway (n = 1379) perceive aspects of teacher support (emotional support, feedback quality, and autonomy granting), and the associations with…
Descriptors: Teacher Student Relationship, Teacher Role, Student Motivation, High School Students
Samlan, Hillel – ProQuest LLC, 2019
College students experiencing psychological distress are at unique risk for negative academic outcomes. The Counseling Center Assessment of Psychological Symptoms-62 (CCAPS-62; Locke et al., 2011) is a multidimensional symptom inventory designed for use in college counseling centers. However, the relationships between the CCAPS-62 and functional…
Descriptors: College Students, Stress Variables, Symptoms (Individual Disorders), Measures (Individuals)
Mollette, Melinda; Villa, Brandi; Cate, Debbie – Journal of Education for Students Placed at Risk, 2020
According to the National Center for Education Statistics, dropping out is a persistent problem among 15- to 24-year-olds. Researchers have noted school districts that have been able to improve graduation rates have often done so through the "development of innovative models and pathways that help young people get back on track to…
Descriptors: Acceleration (Education), Potential Dropouts, Middle School Students, Intervention
Roome, Anna Kathryn – ProQuest LLC, 2016
The issue within education reform of high dropout rates has been an enduring problem for education in the United States (U.S.) since the 1960s. Dropping out of high school is associated with a broad range of social pathologies in adulthood, including poor job prospects, the propensity to engage in criminal behavior, out-of-wedlock births, low…
Descriptors: At Risk Students, Student Characteristics, Public Schools, Potential Dropouts
Wills, Theodore W.; Wolford, Tonya E.; Goldberg, Amber – AERA Online Paper Repository, 2017
Career and Technical Education (CTE) programs not only prepare students for the workplace, but they have also been associated with better academic outcomes, including graduation rates (e.g., Castellano et al., 2012). This study is a longitudinal examination of the 2011-2012 first-time 9th grade cohort in the School District of Philadelphia. Across…
Descriptors: Vocational Education, Graduation Rate, School Districts, Longitudinal Studies
Farr-Wharton, Ben; Charles, Michael B.; Keast, Robyn; Woolcott, Geoff; Chamberlain, Daniel – Higher Education: The International Journal of Higher Education Research, 2018
This research examines the impact of lecturer-student exchange (student-LMX) on engagement, course satisfaction, achievement, and intention to leave university prematurely for 363 students in one Australian university. Survey and grade point average (GPA) data were collected from domestic undergraduate first- and second-year students and analysed…
Descriptors: Foreign Countries, Undergraduate Students, Teacher Student Relationship, Learner Engagement
Tarabini, Aina; Curran, Marta; Montes, Alejandro; Parcerisa, Lluís – Educational Studies, 2019
There is growing evidence that school engagement, or more specifically disengagement, is a key indicator for predicting Early School Leaving. The aim of this article is to explore the impact of secondary schools in student (dis)engagement and subsequent opportunities to succeed in school. Drawing on data from a qualitative study in five secondary…
Descriptors: Learner Engagement, Academic Persistence, Foreign Countries, School Holding Power
Janke, Stefan – Studies in Higher Education, 2020
Enrollment at university can be based on personal interests (intrinsically motivated) as well as financial prospects (extrinsically motivated). I investigate whether and how these qualities of motivation for enrollment influence achievement motivation and well-being of university students at the beginning of their studies. Thereby, I relied on…
Descriptors: Enrollment Influences, Student Motivation, Achievement Need, Well Being
Rischall, Emily; Meyers, Steven A. – Journal of Hispanic Higher Education, 2019
The risk and protective variables for Latino students' experience of depression, college adjustment, and drop-out intentions were examined. Perceived bicultural competence emerged as a protective factor, and cultural incongruity, negative perceptions of the university environment, and intragroup marginalization emerged as risk factors associated…
Descriptors: Student Adjustment, Hispanic American Students, Culture Conflict, Depression (Psychology)
Wang, Feng; Chen, Li – International Educational Data Mining Society, 2016
How to identify at-risk students in open online courses has received increasing attention, since the dropout rate is unexpectedly high. Most prior studies have focused on using machine learning techniques to predict student dropout based on features extracted from students' learning activity logs. However, little work has viewed the dropout…
Descriptors: Identification, At Risk Students, Online Courses, Large Group Instruction
Bills, Andrew; Howard, Nigel – Australian Journal of Education, 2017
In this article, we interrogate the policy assumptions underlying a significant South Australian public education re-engagement initiative called Flexible Learning Options, formulated within South Australia's social inclusion policy agenda, beginning in 2006. To this end, we applied Baachi's 'What's the Problem Represented to be?' policy analysis…
Descriptors: Inclusion, Educational Policy, Foreign Countries, Policy Analysis
Schwab, Susanne – School Effectiveness and School Improvement, 2018
Early school leaving is a serious problem for individual students, especially for students with special educational needs (SEN). This study tests predictors of early school leaving, using data collected among 1,047 students from 60 inclusive and regular classes in primary and secondary schools in Austria with 4th- and 7th-grade students aged 9-11…
Descriptors: Potential Dropouts, Elementary School Students, Secondary School Students, Inclusion
Cerutti, Paula; Crivellaro, Elena; Reyes, Germán; Sousa, Liliana D. – World Bank, 2018
How do labor income shocks affect household investment in upper secondary and tertiary schooling? Using longitudinal data from 2005-15 for Argentina, Brazil, and Mexico, this paper explores the effect of a negative household income shock on the enrollment status of youth ages 15 to 25. The findings suggest that negative income shocks significantly…
Descriptors: Foreign Countries, Family Income, Dropouts, Economic Factors