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[Dropout risk among medical students].

Orvosi hetilap, 2019
Introduction: From 2015, medical education has introduced a cost-reimbursement for medical students who do not reach the yearly rising weighted average. Aim: The authors examine the dropout behaviour of Hungarian medical students. Method: Analysis of the Higher Education Information System based on the database of those who started their medical ...
Marianna, Dinyáné Szabó   +2 more
openaire   +1 more source

Dropout Prevention and Student Engagement

2020
Our work in dropout prevention and student engagement grew out of the development, implementation, and evaluation of Check & Connect. Student engagement is the foundation of theory and interventions to promote school completion. As we worked to study and understand successful school completion efforts, interest in student engagement was growing among ...
openaire   +1 more source

Informational Environments and College Student Dropout

2017
In this chapter, an interdisciplinary research group of sociologists and educational scientists discusses how the informational environments of college students influence potential and actual dropout behavior. Previous research has identified academic performance and social integration as the key predictors of student dropout. Our focus is on a further
Steffen Hillmert   +3 more
openaire   +1 more source

AI In Academia: Forecasting Student Dropouts

International Journal Of Scientific Research In Engineering & Technology
Student dropout is a major challenge in higher education, often linked to academic, demographic, and socioeconomic factors. This study uses machine learning techniques to predict student dropout and support early intervention. A dataset containing attributes like attendance, CGPA, internet access, parental education, and socioeconomic status was ...
Dr. Deepali Y. Kirange   +1 more
openaire   +1 more source

Modeling Student Dropout in Tutoring Systems

2014
Intelligent tutors have been shown to be almost as effective as human tutors in supporting learning in many domains. However, the construction of intelligent tutors can be costly. One way to address this problem is to use previously collected data to generate models to provide intelligent feedback to otherwise non-personalized tutors.
Michael Eagle, Tiffany Barnes
openaire   +1 more source

Dropout Rates for High School Students

The Future of Children, 1992
n this, the second issue of The Future of Children, we introduce Child Indicators as a regular feature of the journal. Because key statistical indicators provide us with a picture of the well-being of children, we believe those indicators can be an important guide in developing and implementing effective policies.
openaire   +1 more source

Forecasting Student Dropout

Education and Urban Society, 1970
Clifford E. Bryan, Edsel L. Erickson
openaire   +1 more source

Higher Education Students Dropout Prediction

2023
Teresa Guarda   +2 more
openaire   +1 more source

From medical student to Editor: A note of thanks

Ca-A Cancer Journal for Clinicians, 2023
Ted Gansler
exaly  

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

Computers and Education Artificial Intelligence, 2022
Jovial Niyogisubizo   +2 more
exaly  

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