BOUALLEGUE, Seifeddine, OMRI, Aymen und AL-NAEMI, Salem, 2026. Machine Learning Approaches for Early Student Performance Prediction in Programming Education. Information. 1 Januar 2026. Vol. 17, no. 1, p. 60-77. DOI 10.3390 nfo17010060.
Elsevier - Harvard (with titles)Bouallegue, S., Omri, A., Al-Naemi, S., 2026. Machine Learning Approaches for Early Student Performance Prediction in Programming Education. Information 17, 60-77. https://doi.org/10.3390 nfo17010060
American Psychological Association 7th editionBouallegue, S., Omri, A., & Al-Naemi, S. (2026). Machine Learning Approaches for Early Student Performance Prediction in Programming Education. Information, 17(1), 60-77. https://doi.org/10.3390 nfo17010060
Springer - Basic (author-date)Bouallegue S, Omri A, Al-Naemi S (2026) Machine Learning Approaches for Early Student Performance Prediction in Programming Education.. Information 17:60-77. https://doi.org/10.3390 nfo17010060
Juristische Zitierweise (Stüber) (Deutsch)Bouallegue, Seifeddine/ Omri, Aymen/ Al-Naemi, Salem, Machine Learning Approaches for Early Student Performance Prediction in Programming Education., Information 2026, 60-77.