ISO-690 (author-date, English)

RASHID S, MALIK S und GHAURI F, 2026. The Active Learning-Gen AI Synergy Framework: Ethical Integration of Generative AI in EFL/ESL Writing in Resource-Constrained Contexts. F1000 Research. 3 März 2026. Vol. 14, , p. 1210-1210. DOI 10.12688/f1000 research.171435.2.

Elsevier - Harvard (with titles)

Rashid S, Malik S, Ghauri F, 2026. The Active Learning-Gen AI Synergy Framework: Ethical Integration of Generative AI in EFL/ESL Writing in Resource-Constrained Contexts. F1000 Research 14, 1210-1210. https://doi.org/10.12688/f1000 research.171435.2

American Psychological Association 7th edition

Rashid S, Malik S, & Ghauri F. (2026). The Active Learning-Gen AI Synergy Framework: Ethical Integration of Generative AI in EFL/ESL Writing in Resource-Constrained Contexts. F1000 Research, 14, 1210-1210. https://doi.org/10.12688/f1000 research.171435.2

Springer - Basic (author-date)

Rashid S, Malik S, Ghauri F (2026) The Active Learning-Gen AI Synergy Framework: Ethical Integration of Generative AI in EFL/ESL Writing in Resource-Constrained Contexts.. F1000 Research 14:1210-1210. https://doi.org/10.12688/f1000 research.171435.2

Juristische Zitierweise (Stüber) (Deutsch)

Rashid S/ Malik S/ Ghauri F, The Active Learning-Gen AI Synergy Framework: Ethical Integration of Generative AI in EFL/ESL Writing in Resource-Constrained Contexts., F1000 Research 2026, 1210-1210.

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