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Showing 1 to 15 of 23 results Save | Export
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Tomasz Zajac; Francisco Perales; Wojtek Tomaszewski; Ning Xiang; Stephen R. Zubrick – Higher Education: The International Journal of Higher Education Research, 2024
Understanding the drivers of student dropout from higher education has been a policy concern for several decades. However, the contributing role of certain factors--including student mental health--remains poorly understood. Furthermore, existing studies linking student mental health and university dropout are limited in both methodology and…
Descriptors: Foreign Countries, Mental Health, Dropout Characteristics, Dropout Prevention
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Pedro Ricardo Álvarez-Pérez; David López-Aguilar; María Olga González-Morales; Rocío Peña-Vázquez – Journal of College Student Retention: Research, Theory & Practice, 2024
The relationship between engagement and the intention to drop out was the focus of this research. Following an empirical-analytical approach, a sample of 1,122 university students responded to a questionnaire designed to measure the engagement and the intention to drop out of school. The results confirmed that undergraduates who considered…
Descriptors: Undergraduate Students, Learner Engagement, Dropout Attitudes, Dropout Prevention
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Chiara Masci; Marta Cannistrà; Paola Mussida – Studies in Higher Education, 2024
This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts
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Josep Figueroa-Cañas; Teresa Sancho-Vinuesa – Open Learning, 2024
Practitioners of the statistics course embedded in a computer science programme at a fully online university were concerned with the high dropout rate. In the academic year 2018-19, they decided to carry out a two-phase project in order to address this issue. In the first phase, an early classifier to identify students at risk of dropping out of…
Descriptors: Foreign Countries, College Students, Virtual Schools, Online Courses
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Steffen Wild; Sebastian Rahn; Thomas Meyer – International Journal of Education in Mathematics, Science and Technology, 2024
Dropout rates in engineering degree programmes at universities are high, and skilled workers are needed. Universities try to prevent dropouts with different offers one of which is attending bridging courses. Research on the effects of these programmes is rare, especially in subject-specific programmes and study formats like cooperative education.…
Descriptors: Foreign Countries, Engineering Education, Undergraduate Students, Dropout Rate
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Cem Recai Çirak; Hakan Akilli; Yeliz Ekinci – Higher Education Quarterly, 2024
In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions. The significant factors that affect first-year student success are derived and discussed such that they can be used for policy developments by related bodies. The dataset used in experimental…
Descriptors: Program Development, At Risk Students, Identification, College Freshmen
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Javier Borja-Gil; Mario Castellanos Verdugo; M. Ángeles Oviedo-García – European Journal of Education, 2024
Within OECD countries, 20% of university students continue no further than the first year. The objective of this research is to analyse the antecedents of student commitment, so as to design action plans for reducing dropout rates within higher education. Educational engagement, student--university identification and perception of performance were…
Descriptors: Academic Persistence, College Students, Dropouts, Foreign Countries
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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
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Hank S. Bohanon; Meng-Jia Wu; Ali Kushki; Cheyne LeVesseur – Australasian Journal of Special and Inclusive Education, 2024
Schools have an increased focus on implementing schoolwide initiatives (e.g., multi-tiered systems of support; MTSS) to address risk factors related to dropping out. These interventions can involve multiple domains, including academic, behavioural, and social and emotional supports. Although researchers suggest that schoolwide interventions are…
Descriptors: High Schools, Educational Change, Multi Tiered Systems of Support, Academic Achievement
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P. Putrik; I. J. Kant; H. Hoofs; R. Reijs; M. J. Jansen – Child & Youth Care Forum, 2024
Background: Early school dropout is an economic, social, and individual problem. School dropout is a result of cumulative processes that occur over many childhood years. Despite the influence of level of education on health outcomes, primary prevention of dropout outside of the school setting is rare. In the Netherlands, the Youth Health Care…
Descriptors: Foreign Countries, Youth, Dropouts, Prediction
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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)
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Robin Clausen – AASA Journal of Scholarship & Practice, 2024
Policy research established that it is possible to predict a student will drop out of school based on academic, attendance, behavior indicators. Little is known about the processes that put Early Warning Systems (EWS) in place. This case study of the Montana EWS describes the characteristics of a statewide implementation, the efficiency of the EWS…
Descriptors: Dropout Prevention, High School Students, Graduation, Graduation Rate
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Mara Marini; Marzia Saglietti; Laura Prislei; Chiara Parisse; Stefano Livi – Social Psychology of Education: An International Journal, 2025
The present study addressed an area of research not yet sufficiently investigated: the environmental sensitivity trait in relation to perceived marginalization in the classroom, dropout intentions, and the quality of teacher-student relationship. Adopting a psychosocial perspective and based on a single study survey with a group of Italian…
Descriptors: Teacher Student Relationship, Dropout Attitudes, Dropout Prevention, Disadvantaged
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Jingjing Long; Jiaxin Lin – Education and Information Technologies, 2024
English language learning students in China often feel challenged to learn English due to lack of motivation and confidence, pronunciation and grammar difference, lack of practice and people to communicate with etc., which affects students mental health. Adopting Big data and AI will help in overcoming these limitations as it provides personalized…
Descriptors: Foreign Countries, English Language Learners, College Students, Mental Health
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Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
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