The relationship between artificial intelligence and students' academic achievement in the UAE

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Reem mohammed haddaf radwan almenhali

Abstract

This study aimed to analyze the impact of using social media networks and AI-enhanced AI channels on students' academic performance in UAE, focusing on the role of perceived ease of use and demographic variables as influential factors in this relationship. The study employed a structural model linking social media use, perceived ease of use, AI channels, and academic performance, while also examining the mediating role of demographic variables. The results showed strong and statistically significant positive relationships among all study variables. Intensive use of social media networks enhanced students' perception of the ease of use of digital platforms, which positively impacted their interaction with AI channels. The results also confirmed that perceived ease of use is a pivotal factor in increasing reliance on AI channels, especially given these platforms' use of AI algorithms for content recommendation and personalization. Furthermore, the study revealed a direct positive impact of AI use on students' academic performance, in addition to an indirect impact through demographic variables, indicating that the effectiveness of AI in supporting learning varies according to students' individual and social characteristics. Thus, the study contributes to enriching the literature related to the use of artificial intelligence in education, and emphasizes the importance of smart digital platforms as effective educational tools.