Al-Dokhny, A.; Alismaiel, O.; Youssif, S.; Nasr, N.; Drwish, A.; Samir, A.
Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model. Sustainability 2024, 16, 10780.
https://doi.org/10.3390/su162310780
AMA Style
Al-Dokhny A, Alismaiel O, Youssif S, Nasr N, Drwish A, Samir A.
Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model. Sustainability. 2024; 16(23):10780.
https://doi.org/10.3390/su162310780
Chicago/Turabian Style
Al-Dokhny, Amany, Omar Alismaiel, Samia Youssif, Nermeen Nasr, Amr Drwish, and Amira Samir.
2024. "Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model" Sustainability 16, no. 23: 10780.
https://doi.org/10.3390/su162310780
APA Style
Al-Dokhny, A., Alismaiel, O., Youssif, S., Nasr, N., Drwish, A., & Samir, A.
(2024). Can Multimodal Large Language Models Enhance Performance Benefits Among Higher Education Students? An Investigation Based on the Task–Technology Fit Theory and the Artificial Intelligence Device Use Acceptance Model. Sustainability, 16(23), 10780.
https://doi.org/10.3390/su162310780