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Véliz Palomino, José Carlos; Ortega, Ana Maria – Journal on Efficiency and Responsibility in Education and Science, 2023
College dropout proves to be a critical problem in undergraduate programs that directly affects students and the related community, due to direct economic losses and significant social costs. This article addresses a systematic review of the literature on predictors of student dropout intention in higher education, focusing on scientific…
Descriptors: Dropouts, Intention, Undergraduate Students, Economic Factors
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Rotem, Nir; Yair, Gad; Shustak, Elad – Higher Education: The International Journal of Higher Education Research, 2021
Affirmative action policies are oftentimes pitted against the need of universities to maintain meritocratic standards in enrollment. The current study tackles this institutional dilemma against the standard of student attrition. It does so by analyzing records of 41,483 undergraduate students who attended the Hebrew University of Jerusalem…
Descriptors: Foreign Countries, Undergraduate Students, Affirmative Action, Dropouts
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Baltà-Salvador, Rosó; Olmedo-Torre, Noelia; Peña, Marta – IEEE Transactions on Education, 2022
Contribution: The present research provides new evidence on the predictors of foreign-born (FB) students' dropout and the situations of discrimination that emerge on engineering campuses. Background: Ethnic minority students remain underrepresented in engineering degrees and have higher dropout rates than their White peers. Previous literature…
Descriptors: Racial Discrimination, Dropouts, Intention, Disproportionate Representation
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Varga, Erika B.; Sátán, Ádám – Hungarian Educational Research Journal, 2021
The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early,…
Descriptors: Identification, At Risk Students, Computer Science Education, Undergraduate Students
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Ortiz-Lozano, José María; Rua-Vieites, Antonio; Bilbao-Calabuig, Paloma; Casadesús-Fa, Martí – Innovations in Education and Teaching International, 2020
Student dropout is a major concern in studies investigating higher education retention strategies. However, studies investigating the optimal time to identify students who are at risk of withdrawal and the type of data to be used are scarce. Our study consists of a withdrawal prediction analysis based on classification trees using both…
Descriptors: At Risk Students, Dropouts, Undergraduate Students, Withdrawal (Education)
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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Siebra, Clauirton Albuquerque; Santos, Ramon N.; Lino, Natasha C. Q. – International Journal of Distance Education Technologies, 2020
This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it…
Descriptors: Dropouts, Predictor Variables, At Risk Students, Distance Education
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Delgado, Omar Millán – International Education Studies, 2019
The phenomenon of university desertion is the result of an inefficient system of the entire Colombian national educational structure. Under a predominantly descriptive, quantitative and statistical approach, it is intended to identify the behavior of the desertion in the universities of the department of Santander, with the purpose of knowing…
Descriptors: Foreign Countries, Undergraduate Students, Dropouts, Dropout Characteristics
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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
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Silva, Pedro Luis; Nunes, Luis Catela; Seabra, Carmo; Balcao Reis, Ana; Alves, Miguel – Education Economics, 2020
In many countries, students are selected into higher education institutions based on their achievement at high school, measured by scores given by their teachers and obtained on final national exams. This paper compares these two measures in terms of their ability to predict students' success in higher education. Accounting for sample selection…
Descriptors: College Admission, Academic Achievement, College Entrance Examinations, Scores
Porter, Mitchell – ProQuest LLC, 2019
This study conducted a development and validation of a vignette-based grit scale (Grit-V). The purpose was to determine if the use of vignettes provided more validity evidence than short simple-sentence item endorsements. The data were gathered from a sample population of undergraduate students from The University of Alabama. Focus group data were…
Descriptors: Measures (Individuals), Test Validity, Academic Persistence, Vignettes
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Bettencourt, Genia; Manly, Catherine A.; Kimball, Ezekiel; Wells, Ryan S. – Review of Higher Education, 2020
STEM majors offer pathways to lucrative careers but are often inaccessible to first-generation students. Using data from the Education Longitudinal Study, we conducted descriptive statistics, regression analyses, and group comparisons to examine differences between first-generation students and continuing-generation students across STEM degree,…
Descriptors: STEM Education, Educational Attainment, First Generation College Students, Academic Persistence
Gill, Tim – Cambridge University Press & Assessment, 2022
The Extended Project Qualification (EPQ) is available for students in Key Stage 5 (KS5), to be taken alongside other qualifications, such as A levels. It differs from most other academic qualifications at KS5 because it is not examined, but instead involves students undertaking an in-depth project in an area of their choosing. Students are…
Descriptors: Foreign Countries, Secondary School Students, Exit Examinations, Independent Study
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Jeno, Lucas M.; Danielsen, Anne G.; Raaheim, Arild – Educational Psychology, 2018
We investigate a model based on Self-Determination Theory (SDT) to predict academic achievement and dropout intentions among biology students in higher education in Norway. Students (n = 754) from a representative national sample participated in this cross-sectional study. The results align with our hypotheses and SDT assumptions. The model…
Descriptors: Academic Achievement, Dropouts, Higher Education, Self Determination
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Webb, O. J.; Cotton, D. R. E. – Teaching in Higher Education, 2018
Early withdrawal from higher education (HE) programmes can be detrimental for the students and institutions involved. Quantitative research has often concentrated on demographic and social antecedents (e.g. gender, prior education). Other factors may be more open to intervention e.g. students' academic experiences in HE. Using data from an…
Descriptors: Undergraduate Students, Withdrawal (Education), Dropouts, Student Attrition
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