Predicting Dropout on E-learning Using Machine Learning

Akmal Akmal
Pages 29-34
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DOI https://doi.org/10.47738/jads.v1i1.9

Abstract


After the corona virus outbreak (COVID-19) many various institutions changed how they work. From various sectors, which experienced the biggest change was the education sector. The education sector, which in general requires face-to-face interaction between teachers and students in a place, has now changed to online, which does not require that both parties be in a place. This is certainly a very big change and has an impact. In this paper we will discuss e-learning methods for drop-out prediction, based on three techniques of machine learning.


Keywords


Education; Machine learning; E-learning; Dropout; Data Science

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References


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DOI: https://doi.org/10.47738/jads.v1i1.9

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Journal of Applied Data Sciences

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