AIMC Topic: Student Dropouts

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Statistical and machine learning models for predicting university dropout and scholarship impact.

PloS one Jun 25, 2025
Although student dropout is an inevitable aspect of university enrollment, when analyzed, universities can gather information which enables them to take preventative actions that mitigate dropout risk. We study a data set consisting of 4,424 records ...
Students Universities Adult Male Fellowships and Scholarships Student Dropouts Models, Statistical Portugal Humans Machine Learning Female Young Adult
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Model interpretability on private-safe oriented student dropout prediction.

PloS one Mar 31, 2025
Student dropout is a significant social issue with extensive implications for individuals and society, including reduced employability and economic downturns, which, in turn, drastically influence social sustainable development. Identifying students ...
Machine Learning Students Humans Student Dropouts Deep Learning Privacy
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Student dropout prediction through machine learning optimization: insights from moodle log data.

Scientific reports Mar 21, 2025
Student attrition and academic failure remain pervasive challenges in education, often occurring at substantial rates and posing considerable difficulties for timely identification and intervention. Learning management systems such as Moodle generate...
Humans Students Student Dropouts Machine Learning Algorithms
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Machine learning predicts upper secondary education dropout as early as the end of primary school.

Scientific reports Jun 5, 2024
Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering individuals, thereby significantly influencing societal and personal development. However, the persistent issue of school dropout poses a significant chall...
Student Dropouts Adolescent Child Longitudinal Studies Schools Male Students Female Humans Machine Learning
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Application of the performance of machine learning techniques as support in the prediction of school dropout.

Scientific reports Feb 17, 2024
This article presents a study, intending to design a model with 90% reliability, which helps in the prediction of school dropouts in higher and secondary education institutions, implementing machine learning techniques. The collection of information ...
Humans Reproducibility of Results Bayes Theorem Neural Networks, Computer Student Dropouts Machine Learning Support Vector Machine
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A survival analysis based volatility and sparsity modeling network for student dropout prediction.

PloS one May 5, 2022
Student Dropout Prediction (SDP) is pivotal in mitigating withdrawals in Massive Open Online Courses. Previous studies generally modeled the SDP problem as a binary classification task, providing a single prediction outcome. Accordingly, some attempt...
Neural Networks, Computer Survival Analysis Humans Student Dropouts
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Deep learning-based school attendance prediction for autistic students.

Scientific reports Jan 26, 2022
Autism Spectrum Disorder is a neurodevelopmental disorder characterized by deficits in social communication and interaction as well as the presence of repetitive, restricted patterns of behavior, interests, or activities. Many autistic students exper...
Cooperative Behavior Autism Spectrum Disorder Student Dropouts Humans Male Child Female Absenteeism Deep Learning Predictive Value of Tests
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Data-driven system to predict academic grades and dropout.

PloS one Feb 14, 2017
Nowadays, the role of a tutor is more important than ever to prevent students dropout and improve their academic performance. This work proposes a data-driven system to extract relevant information hidden in the student academic data and, thus, help ...
Student Dropouts Adult Machine Learning Adolescent Male Female Models, Theoretical Humans
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