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Nathalie Rzepka; Linda Fernsel; Hans-Georg Müller; Katharina Simbeck; Niels Pinkwart – Computer-Based Learning in Context, 2023
Algorithms and machine learning models are being used more frequently in educational settings, but there are concerns that they may discriminate against certain groups. While there is some research on algorithmic fairness, there are two main issues with the current research. Firstly, it often focuses on gender and race and ignores other groups.…
Descriptors: Algorithms, Artificial Intelligence, Models, Bias
Matthew Atwell; Robert Balfanz; Vaughan Byrnes; John M. Bridgeland – Civic, 2023
For over two decades, there have been sustained efforts across the nation to increase high school graduation rates toward the goal of a 90 percent high school graduation rate for the Class of 2020 and improving educational outcomes for all students. The work of many educators, policymakers, organizations, and young people across the country…
Descriptors: High School Graduates, Graduation Rate, Educational Change, Educational Attainment
Mireles-Rios, Rebeca; Rios, Victor M.; Auldridge-Reveles, Trevor; Monroy, Marilyn; Castro, Isaac – Journal of Leadership, Equity, and Research, 2020
In this study, we analyze the effects of Project GRIT (Generating Resiliency and Inspiring Transformation), a six-week intervention program that worked with a group of high school "pushouts," students who were encouraged to leave school, in a school district in southern California. We interviewed thirty-nine former high school students…
Descriptors: Social Emotional Learning, Resilience (Psychology), Intervention, Dropout Programs
Yair, Gad; Rotem, Nir; Shustak, Elad – European Journal of Higher Education, 2020
Studies found that students from low socioeconomic backgrounds have higher odds of dropping out from higher education. Academic hardships were also identified as predictors. The current study utilizes data on 45,752 students who started their studies at The Hebrew University of Jerusalem (2003-2015). Descriptive statistics reveal that 18% of all…
Descriptors: Dropouts, Dropout Characteristics, Student Attrition, At Risk Students
Fourie, Cornelius M. – Journal of Further and Higher Education, 2020
Researchers have been investigating student dropout, and possible reasons leading to it, for quite a long time. Cumulatively, the results of these research attempts show that drop out of students depends on several factors, of which only a relatively small number can directly be dealt with by universities. Therefore, the overall research problem…
Descriptors: Foreign Countries, At Risk Students, College Freshmen, Intention
Lardier, David T.; Herr, Kathryn G.; Bergeson, Carrie; Garcia-Reid, Pauline; Reid, Robert J. – International Journal of Qualitative Studies in Education (QSE), 2020
We explore the experiences of youth who disconnected from their local high schools and resumed their educations in community-based education (CBE) programs offering high school equivalency instruction. Drawing on focus-group interview narratives (N = 59) where youth describe the 'second chances' offered to them, we document supportive, encouraging…
Descriptors: Minority Group Students, Urban Education, Community Programs, Neoliberalism
Theresa Thies; Susanne Falk – Journal of International Students, 2024
Germany is a non-English speaking country with a large and growing number of incoming international degree-seeking students. However, their estimated dropout rates are high. This study aims to investigate whether specific challenges faced by international students (e.g., social and academic integration, language learning, financial situation,…
Descriptors: Foreign Countries, Foreign Students, College Students, Barriers
Bongani V. Mtshweni – Open Education Studies, 2024
Sense of belonging plays an essential role in the retention and success of distance learning students. This study investigated the influence of a sense of belonging on the intentions to drop out among black and white distance learning students at a university in South Africa. A total of 831 participants were surveyed and constituted the sample of…
Descriptors: Sense of Community, Prediction, Intention, Dropouts
Elizabeth Setren – National Bureau of Economic Research, 2024
School assignment policies are a key lever to increase access to high performing schools and to promote racial and socioeconomic integration. For over 50 years, the Metropolitan Council for Educational Opportunity (METCO) has bussed students of color from Boston, Massachusetts to relatively wealthier and predominantly White suburbs. Using a…
Descriptors: Busing, Racial Integration, School Desegregation, Desegregation Effects
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
Samira Feizi; Bärbel Knäuper; Frank Elgar – Higher Education Research and Development, 2024
Stress is a common negative emotion in students. Given the stress associated with doctoral studies, it is crucial to examine the influence of stress on well-being, program satisfaction, and retention in doctoral programs. This study examined stress-related issues and their relationships with intention to quit in a sample of 2,486 students enrolled…
Descriptors: Stress Variables, Well Being, Doctoral Students, Student Satisfaction
Abraham Bernárdez-Gómez; Eva María González-Barea; María Jesús Rodríguez-Entrena – South African Journal of Education, 2024
Teachers are students' first contact in the classroom and the ones with whom they experience their relationships most intensely after those with their own classmates. Relationships with teachers and their actions in the classroom are of great relevance in how students develop their careers. Young people at risk of exclusion, which has been…
Descriptors: Teaching Methods, At Risk Students, Reentry Students, Experience
Jason Delisle; Jason Cohn – Urban Institute, 2024
Data showing what students earn after attending higher education institutions have become increasingly available, bolstering calls from policymakers and advocates that government financial aid programs should be tied to those outcomes. Often overlooked, however, is that these data and policies usually reflect the earnings of only students who…
Descriptors: College Graduates, College Attendance, Dropouts, Data Collection
Kimberly Beets – ProQuest LLC, 2024
Using descriptive statistics and logistic regressions, this study compared U.S. Census data from 22-24-year-old women in 1980 and 2020 to determine the individual and contextual variables most predictive of bachelor's degree attainment. The regressions were conducted for women overall, women who have ever enrolled in college, mothers, and mothers…
Descriptors: Females, Adults, College Graduates, Time to Degree
Lina López-Lalinde; Meredith Kozak; Eva Ireri Muluve; Ruth Nanjekho Wafubwa; Erica Soler-Hampejsek – Population Council, 2024
The "Kenya Gender and Education Roadmap" is a series of four evidence briefs designed to provide a comprehensive analysis of the gender and education landscape in Kenya. Drawing from a variety of key data sources, including the Population Council's Evidence for Gender and Education Resource (EGER) Database, DHS and national-level…
Descriptors: Foreign Countries, Sex, Females, Gender Issues

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