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All-Year Dropout Prediction Modeling and Analysis for University Students
Applied Sciences, 2023 The core of dropout prediction lies in the selection of predictive models and feature tables. Machine learning models have been shown to predict student dropouts accurately.
Zihan Song +3 more
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Student Dropout Prediction [PDF]
, 2020 Among the many open problems in the learning process, students dropout is one of the most complicated and negative ones, both for the student and the institutions, and being able to predict it could help to alleviate its social and economic costs. To address this problem we developed a tool that, by exploiting machine learning techniques, allows to ...
Del Bonifro F. +3 more
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Iatreia, 2022 Introduction: Dropout rates are a constant concern for schools of medicine. Its study and solution are complex, it compromises the future of the student and affects the academic reputation of the program.
Cabrales, Rodolfo Adrián +4 more
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Why do open and distance education students drop out? Views from various stakeholders
International Journal of Educational Technology in Higher Education, 2022 While the demand for open and distance education is increasing, it also faces high dropout rates. The reasons and solutions for student dropouts need considerable attention.
Ayşe Bağrıacık Yılmaz +1 more
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Predictors of Piano Student Dropouts [PDF]
Intersections, 2020 Dropping out of piano lessons before reaching a moderate mastery of the instrument is a frequent problem among students. Previous research finds that children often leave music lessons as the result of predictors such as expertise—measured by musical ability, academic achievement, and musical achievement—and environment—measured by social and ...
Gerelus, Karen +2 more
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University Dropout in Engineering: Motives and Student Trajectories [PDF]
Psicothema, 2021 Dropout in higher education is a concern for students, families, educational institutions, and society. Tertiary education is an important mechanism for empowering people and STEM courses are vital to countries' development.The study combined quantitative and qualitative data.
Casanova, Joana R. +3 more
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Deep FM-Based Predictive Model for Student Dropout in Online Classes
IEEE Access, 2023 The student’s high dropout rate is a severe issue in online learning courses. As a result, it is creating concerns for academics and administrators in the field of education. A practical method of preventing dropouts is predicting students’
Nuha Mohammed Alruwais
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International Journal of Modern Education Studies, 2022 Out of school happens when a student withdraws themselves from school at any level of education without a certificate to account for their education. It is an educational problem in America because of its negative consequences on society.
Theodoto Ressa, Allyson Andrews
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Student Dropout Prediction for University with High Precision and Recall
Applied Sciences, 2023 Since a high dropout rate for university students is a significant risk to local communities and countries, a dropout prediction model using machine learning is an active research domain to prevent students from dropping out.
Sangyun Kim +3 more
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Applied Artificial Intelligence, 2022 The Sub-Saharan countries are leading in dropout rates in secondary schools by 37.5% followed by South Asia 15.5% and Middle East 11% in 2018. In Tanzania, student dropouts in secondary schools increased from 3.8% in 2018 to 4.2% in 2019.
Yuda N. Mnyawami +2 more
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