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

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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