Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study ; volume:4 ; number:1 ; day:4 ; month:1 ; year:2024 ; pages:1-24 ; date:12.2024
Discover artificial intelligence ; 4, Heft 1 (4.1.2024), 1-24, 12.2024

Creator: Villar, Alice
Andrade, Carolina Robledo Velini de

Contributor: SpringerLink (Online service)

DOI: 10.1007/s44163-023-00079-z

URN: urn:nbn:de:101:1-2024031910535747481052

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Villar, Alice
Andrade, Carolina Robledo Velini de
SpringerLink (Online service)

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Supervised machine learning algorithms for predicting student dropout and academic success: a comparative study

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Other Objects (12)

Sitting Next to a Dropout - Academic Success of Students with More Educated Peers

Sitting Next to a Dropout: Academic Success of Students with More Educated Peers

Perceived Academic Control and Academic Emotions Predict Undergraduate University Student Success: Examining Effects on Dropout Intention and Achievement

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University dropouts and labor market success

A comparison of supervised learning algorithms

SuccessVis - Visualizing Academic Impact

Testing conditional independence in supervised learning algorithms

Tree-based algorithms for weakly supervised anomaly detection

Diabetic retinopathy classification for supervised machine learning algorithms

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Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning

Sitting Next to a Dropout - Academic Success of Students with More Educated Peers

Sitting Next to a Dropout: Academic Success of Students with More Educated Peers

Perceived Academic Control and Academic Emotions Predict Undergraduate University Student Success: Examining Effects on Dropout Intention and Achievement

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Tree-based algorithms for weakly supervised anomaly detection

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Sitting Next to a Dropout - Academic Success of Students with More Educated Peers

Sitting Next to a Dropout: Academic Success of Students with More Educated Peers

Perceived Academic Control and Academic Emotions Predict Undergraduate University Student Success: Examining Effects on Dropout Intention and Achievement

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Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning

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