Results 31 to 40 of about 141,633 (261)

The Socioeconomic Gap in University Dropouts

open access: yesThe B.E. Journal of Economic Analysis & Policy, 2009
Abstract In many countries, including the U.S. and the U.K., there is ongoing concern about the extent to which young people from lower-income backgrounds can acquire a university degree. Recent evidence from the U.K. suggests that for a given level of prior achievement in secondary school a disadvantaged student has as much chance of ...
Vignoles, Anna, Powdthavee, Nattavuudh
openaire   +3 more sources

Trajectory of University Dropout: Investigating the Cumulative Effect of Academic Vulnerability and Proximity to Family Support

open access: yesFrontiers in Education, 2019
University dropout is a major policy concern around the world because of its consequences for the individual, institutions and society. In this study, we offer new evidence by examining the cumulative effect of academic vulnerability and family support ...
Edward M. Sosu, Pichyada Pheunpha
doaj   +1 more source

Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile

open access: yesEntropy, 2021
Data mining is employed to extract useful information and to detect patterns from often large data sets, closely related to knowledge discovery in databases and data science. In this investigation, we formulate models based on machine learning algorithms
Carlos A. Palacios   +4 more
doaj   +1 more source

Academic Stress, Evaluation Anxiety, and University Dropout Intention: Mediating and Moderating Roles for Resilience

open access: yesPsicología Educativa: Revista de los Psicólogos de la Educación
Resilience is a significant factor in explaining university dropout rates. Despite research on its relationship with dropout, little attention has been given to its role alongside academic stress.
Elena Blanco   +3 more
doaj   +1 more source

Tumor and germline testing with next generation sequencing in epithelial ovarian cancer: a prospective paired comparison using an 18‐gene panel

open access: yesMolecular Oncology, EarlyView.
Genetic testing in epithelial ovarian cancer includes both germline and tumor‐testing. This approach often duplicates resources. The current prospective study assessed the feasibility of tumor‐first multigene testing by comparing tumor tissue with germline testing of peripheral blood using an 18‐gene NGS panel in 106 patients.
Elisabeth Spenard   +12 more
wiley   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham   +7 more
wiley   +1 more source

Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

open access: yesComputers and Education: Artificial Intelligence, 2022
Student dropout is a serious problem globally. It affects not only the individual who drops out but also the former school, family, and society in general.
Jovial Niyogisubizo   +4 more
doaj   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

Factors, Prediction, Explainability, and Simulating University Dropout Through Machine Learning: A Systematic Review, 2012–2024

open access: yesComputation
College dropout represents a significant challenge for universities, and despite advances in machine learning technologies, predicting dropout remains a complex task.
Mauricio Quimiz-Moreira   +4 more
doaj   +1 more source

University dropouts and labor market success [PDF]

open access: yesIZA World of Labor, 2015
With university education continuing to expand worldwide, university dropouts will make up a large group in future labor markets. Dropping out is routinely viewed as a negative indicator. However, data on university dropouts does not generally provide information on their labor market outcomes, so empirical evidence is sparse.
openaire   +5 more sources

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