How do Students Perceive Artificial Intelligence in YouTube Educational Videos Selection? A Case Study of Al Ain City
Keywords:Artificial Intelligence; Matrix Factorization; Users’ Metadata; United Arab Emirates; Education
This research focused on the students' perceptions of the role of Artificial Intelligence in the educational content recommendation system by using the SEM- Artificial Neural Network approach. Data obtained from structured surveys indicated that Artificial Intelligence plays a significant role in the educational content recommendation process. Most relationships proposed in the conceptual model remained significant, with p values as strong as p> 0.000. Further, the IPMA and ANN also revealed in-depth results. Thus, this research concludes that the video recommendation system is helping young students to search for and find the educational content they want. Besides, this system also provides them with a searching facility with fewer efforts, adding more value to YouTube as one of the most prominent digital platforms today.
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Copyright (c) 2022 Riadh JELJELI, Faycal FARHI, Mohamed Elfateh HAMDI
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