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Student Dropouts

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Data-driven system to predict academic grades and dropout.

PloS one
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 ...

A survival analysis based volatility and sparsity modeling network for student dropout prediction.

PloS one
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...

Deep learning-based school attendance prediction for autistic students.

Scientific reports
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...

Application of the performance of machine learning techniques as support in the prediction of school dropout.

Scientific reports
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 ...

Machine learning predicts upper secondary education dropout as early as the end of primary school.

Scientific reports
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...

Model interpretability on private-safe oriented student dropout prediction.

PloS one
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 ...

Student dropout prediction through machine learning optimization: insights from moodle log data.

Scientific reports
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...