American Psychological Association 6th edition

Qadir, H. M., Suleman, M. T., Khan, R. A., Sohaib, M., Hasan, M. J., & Hussain, S. A. (2025). Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback. Journal of Big Data, 12(1), 1-26. https://doi.org/10.1186/s40537-025-01187-6

ISO-690 (author-date, English)

QADIR, Hafiz Muhammad, SULEMAN, M. Taseer, KHAN, Rafaqat Alam, SOHAIB, Muhammad, HASAN, Md Junayed und HUSSAIN, Syed Abid, 2025. Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback. Journal of Big Data. 5 Juni 2025. Vol. 12, no. 1, p. 1-26. DOI 10.1186/s40537-025-01187-6.

Modern Language Association 9th edition

Qadir, H. M., M. T. Suleman, R. A. Khan, M. Sohaib, M. J. Hasan, und S. A. Hussain. „Optimizing Learning Outcomes: A Deep Dive into Hybrid AI Models for Adaptive Educational Feedback.“. Journal of Big Data, Bd. 12, Nr. 1, Juni 2025, S. 1-26, https://doi.org/10.1186/s40537-025-01187-6.

Mohr Siebeck - Recht (Deutsch - Österreich)

Qadir, Hafiz Muhammad/Suleman, M. Taseer/Khan, Rafaqat Alam/Sohaib, Muhammad/Hasan, Md Junayed/Hussain, Syed Abid: Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback., Journal of Big Data 2025, 1-26.

Emerald - Harvard

Qadir, H.M., Suleman, M.T., Khan, R.A., Sohaib, M., Hasan, M.J. und Hussain, S.A. (2025), „Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback.“, Journal of Big Data, Vol. 12 No. 1, S. 1-26.

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