Using educational data mining to predict students' academic performance for applying early interventions


Alturki, Sarah ; Alturki, Nazik


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DOI: https://doi.org/10.28945/4835
URL: https://madoc.bib.uni-mannheim.de/60316
Additional URL: https://www.informingscience.org/Publications/4835
URN: urn:nbn:de:bsz:180-madoc-603169
Document Type: Article
Year of publication: 2021
The title of a journal, publication series: Journal of Information Technology Education : JITE. Innovations in Practice : IIP
Volume: 20
Page range: 121-137
Place of publication: Santa Rosa, CA
Publishing house: Informing Science Institute
ISSN: 2165-3151 , 2165-316X
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Pre-existing license: Creative Commons Attribution, Non-Commercial 4.0 International (CC BY-NC 4.0)
Subject: 004 Computer science, internet


Social SustainabilitySDG 12: Responsible Consumption and Production


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BASE: Alturki, Sarah ; Alturki, Nazik

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ORCID: Alturki, Sarah ORCID: 0000-0003-4264-1490 ; Alturki, Nazik

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