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Patricia Everaert; Evelien Opdecam; Hans van der Heijden – Accounting Education, 2024
In this paper, we examine whether early warning signals from accounting courses (such as early engagement and early formative performance) are predictive of first-year progression outcomes, and whether this data is more predictive than personal data (such as gender and prior achievement). Using a machine learning approach, results from a sample of…
Descriptors: Accounting, Business Education, Artificial Intelligence, College Freshmen
Dahir Abdi Ali; Ali Mohamud Hussein – Journal of Applied Research in Higher Education, 2024
Purpose: The main purpose of this study is to evaluate the extent of dropout students and identify the relationship between risk factors of dropout and the survival time of students. Design/methodology/approach: The Kaplan-Meier estimator (KM), also known as the product-limit technique, is a nonparametric model function that is commonly used in…
Descriptors: Foreign Countries, College Students, At Risk Students, Potential Dropouts
Wild, Steffen; Rahn, Sebastian; Meyer, Thomas – Empirical Research in Vocational Education and Training, 2023
Cooperative education programs are usually based on a partnership between companies and universities. Dropouts have a particular impact here, for example the loss of junior staff in the companies. Most dropouts in cooperative education occur in the first academic year. In this multicausal dropout process, the influence of the cooperation partner…
Descriptors: Foreign Countries, College Freshmen, Dropouts, Dropout Characteristics
Marcell Nagy; Roland Molontay – International Journal of Artificial Intelligence in Education, 2024
Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of interest recently. However, there has been little discussion on dropout prediction using interpretable…
Descriptors: Dropout Characteristics, Dropout Research, Intervention, At Risk Students
Oda Charlotte Larsen Saetre; Serap Keles; Thormod Idsoe – Scandinavian Journal of Educational Research, 2024
We investigated changes in youths' intentions to quit school after following a group-based cognitive behaviour therapy (CBT) based intervention for depressed adolescents in upper secondary school: the Adolescent Coping with Depression Course (ACDC). Data were collected from 228 youths, 133 of whom received the 14-week ACDC intervention and 95 who…
Descriptors: Depression (Psychology), Correlation, Intention, Dropouts
Caqueo-Urízar, Alejandra; Mena-Chamorro, Patricio; Atencio-Quevedo, Diego; Flores, Jerome; Urzúa, Alfonso – Psychology in the Schools, 2021
This study aimed to evaluate the association between learning difficulties and self-esteem in adolescents in northern Chile. The study sample comprised 116 students aged 13-17 years from government-subsidized schools. The Child and Adolescent Assessment System (SENA) was used to measure the variables considered in this study. The results showed…
Descriptors: Self Esteem, Adolescents, Learning Problems, Predictor Variables
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)
Selim, Kamal Samy; Rezk, Sahar Saeed – Education and Information Technologies, 2023
Compulsory school-dropout is a serious problem affecting not only the education systems, but also the developmental progress of any country as a whole. Identifying the risk of dropping out, and characterizing its main determinants, could help the decision-makers to draw eradicating policies for this persisting problem and reducing its social and…
Descriptors: Foreign Countries, Dropouts, Predictor Variables, At Risk Students
Kelly Anne Young – Open Learning, 2024
This paper sought to examine psychological grit, defined as passion and perseverance for long-term goals, and its efficacy in determining postgraduate retention among historically disadvantaged students enrolled at the University of South Africa (UNISA). The Grit-S scale was used to gauge the level of grit among the participants (n = 594) followed…
Descriptors: Foreign Countries, Academic Persistence, Resilience (Psychology), Student Characteristics
Ntema, Ratoeba Piet – Journal of Student Affairs in Africa, 2022
Student dropout is a significant concern for university administrators, students and other stakeholders. Dropout is recognised as highly complex due to its multi-causality, which is expressed in the existing relationship in its explanatory variables associated with students, their socio-economic and academic conditions, and the characteristics of…
Descriptors: College Students, Dropout Characteristics, At Risk Students, Profiles
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
Edwin Buenaño; María José Beletanga; Mónica Mancheno – Journal of Latinos and Education, 2024
University dropout is a serious problem in higher education that is increasingly gaining importance, as it is essential to understand its causes and search for public and institutional policies that can help reduce it. This research uses conventional and extended Cox survival models to analyze the factors behind dropout rates at a co-financed…
Descriptors: Foreign Countries, College Students, Dropouts, Dropout Rate
D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
Gobeil-Bourdeau, Jasmine; Lemelin, Jean-Pascal; Letarte, Marie-Josée; Laurent, Angélique – Early Education and Development, 2022
Research Findings: In this study, a combination of variable-oriented and person-oriented statistical analyses was used to examine the links between three temperament factors (negative affectivity, surgency/extraversion, effortful control) evaluated before entry into kindergarten and the cognitive and socioemotional dimensions of school readiness…
Descriptors: Personality Traits, Affective Behavior, School Readiness, Kindergarten
Earl Francis I. Mallari; Karl Peltzer – Psychology in the Schools, 2025
The prevalence of psychological distress is increasing in the Philippines, a country with limited resources for mental health programs. It is worthy to investigate the possible predictors for psychological distress among Filipino youth as they are one of the vulnerable populations to psychological distress. The present study aimed to explore the…
Descriptors: Integrated Services, Mental Health Programs, Foreign Countries, Asians