Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

Sotiris Kotsiantis; Christos Pierrakeas; Panagiotis Pintelas

doi:10.1007/978-3-540-45226-3_37

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Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

Sotiris Kotsiantis Christos Pierrakeas Panagiotis Pintelas

Year: 2003 Lecture notes in computer science Pages: 267-274 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-45226-3_37

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Keywords:

Dropout (neural networks) Computer science Scope (computer science) Informatics Machine learning Naive Bayes classifier Online machine learning Artificial intelligence Distance education Active learning (machine learning) Support vector machine Mathematics education

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221

Cited By

10.19

FWCI (Field Weighted Citation Impact)

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0.95

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Is in top 1%

Is in top 10%

Citation History

Topics

Online Learning and Analytics

Physical Sciences → Computer Science → Computer Science Applications

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Preventing Student Dropout in Distance Learning Using Machine Learning Techniques

Metrics

Citation History

Topics

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