American Psychological Association 6th edition

Alalawi, K., Athauda, R., & Chiong, R. (2023). Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review. Engineering Reports, 5(12), 1-25. https://doi.org/10.1002/eng2.12699

ISO-690 (author-date, English)

ALALAWI, Khalid, ATHAUDA, Rukshan und CHIONG, Raymond, 2023. Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review. Engineering Reports. 1 Dezember 2023. Vol. 5, no. 12, p. 1-25. DOI 10.1002/eng2.12699.

Modern Language Association 9th edition

Alalawi, K., R. Athauda, und R. Chiong. „Contextualizing the Current State of Research on the Use of Machine Learning for Student Performance Prediction: A Systematic Literature Review.“. Engineering Reports, Bd. 5, Nr. 12, Dezember 2023, S. 1-25, https://doi.org/10.1002/eng2.12699.

Mohr Siebeck - Recht (Deutsch - Österreich)

Alalawi, Khalid/Athauda, Rukshan/Chiong, Raymond: Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review., Engineering Reports 2023, 1-25.

Emerald - Harvard

Alalawi, K., Athauda, R. und Chiong, R. (2023), „Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review.“, Engineering Reports, Vol. 5 No. 12, S. 1-25.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.