As Artificial Intelligence (AI) becomes more prominent in societal careers and social networks, instructors and students are finding that they will need to adapt to technological advancements and artificial intelligence. The problem addressed in this review study was the issue of AI’s increasing prevalence in societal careers and social networks, causing a significant challenge for educators and students who must adapt to technological advancements. The purpose of this study was to discover how AI-driven education affects college students’ motivation, satisfaction, and self-efficacy. Data were gathered from 20 scholarly peer-reviewed journal articles, selected from 47 related articles using electronic search strategies across various academic databases. One of the articles reviewed for this study indicated that using an AI-based chatbot in after-class review improved public health students’ academic performance, learning attitude, self-efficacy, and motivation. Likewise, several other studies show that AI-driven educational support improves and facilitates students’ learning. In contrast, some other studies mentioned the negative effects of AI, such as anxiety related to data privacy, job loss, academic cheating opportunities for students, and the potential obsolescence of humans. These findings contribute to the development of AI-informed educational practices. Future research might include the impact of AI-based educational tools on college students’ learning outcomes and academic performance.
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