American Psychological Association 6th edition

Louatouate, H., & Zeriouh, M. (2025). Meta-Prompting as a Solution to Students’ Prompt Engineering Difficulties for an Optimized Use of Gen AI LLMs in the Context of Education: A Quasi-Experimental Study using Mistral Model. Journal of Computer Science & Technology Studies, 7(2), 217-227. https://doi.org/10.32996/jcsts.2025.7.2.21

ISO-690 (author-date, English)

LOUATOUATE, Houda und ZERIOUH, Mohammed, 2025. Meta-Prompting as a Solution to Students’ Prompt Engineering Difficulties for an Optimized Use of Gen AI LLMs in the Context of Education: A Quasi-Experimental Study using Mistral Model. Journal of Computer Science & Technology Studies. 1 März 2025. Vol. 7, no. 2, p. 217-227. DOI 10.32996/jcsts.2025.7.2.21.

Modern Language Association 9th edition

Louatouate, H., und M. Zeriouh. „Meta-Prompting As a Solution to Students’ Prompt Engineering Difficulties for an Optimized Use of Gen AI LLMs in the Context of Education: A Quasi-Experimental Study Using Mistral Model.“. Journal of Computer Science & Technology Studies, Bd. 7, Nr. 2, März 2025, S. 217-2, https://doi.org/10.32996/jcsts.2025.7.2.21.

Mohr Siebeck - Recht (Deutsch - Österreich)

Louatouate, Houda/Zeriouh, Mohammed: Meta-Prompting as a Solution to Students’ Prompt Engineering Difficulties for an Optimized Use of Gen AI LLMs in the Context of Education: A Quasi-Experimental Study using Mistral Model., Journal of Computer Science & Technology Studies 2025, 217-227.

Emerald - Harvard

Louatouate, H. und Zeriouh, M. (2025), „Meta-Prompting as a Solution to Students’ Prompt Engineering Difficulties for an Optimized Use of Gen AI LLMs in the Context of Education: A Quasi-Experimental Study using Mistral Model.“, Journal of Computer Science & Technology Studies, Vol. 7 No. 2, S. 217-227.

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