This study investigates the roles of Artificial Intelligence (AI) in enhancing remote education for university students in Chongqing, China, focusing on the post-COVID-19 era. Employing a Systematic Literature Review (SLR), the research addresses two key questions: (RQ1) the reasons for using AI in remote education, and (RQ2) the challenges associated with its implementation. A search was conducted using Google Scholar, selected for its broad access to interdisciplinary scholarly works. Articles published between 2021 and 2024 were analyzed. The study found that AI enhances remote education by offering convenience and flexibility tailored to students’ individual learning paces and needs. It enriches the learning experience through diverse and engaging course content and enables personalized learning paths with resource recommendations based on students’ abilities and learning history. Key tools include virtual tutoring systems, intelligent assignment grading systems, and virtual laboratories, which collectively address educational gaps in remote settings. However, challenges persist, including technical adaptation issues, data privacy and security concerns, unreliable network connections, and a lack of interpersonal interaction. The paper concludes with improvement measures such as strengthening data security, improving infrastructure, and incorporating hybrid learning approaches.
