This systematic literature review examines the role of Artificial Intelligence (AI) in transformative academic advising within higher education. The integration of AI in academic advising has the potential to revolutionize the traditional manual processes and enhance student outcomes. The review explores the key applications of AI in academic advising, focusing on chatbots, recommender systems, and predictive analytics. Chatbots provide personalized self-service platforms for students, addressing their queries and assisting with course selection. Recommender systems utilize text-mining techniques to generate module recommendations based on students' interests and learning goals. Predictive analytics employ machine learning algorithms to forecast student grades and identify at-risk students. The benefits of incorporating AI systems in academic advising include personalized recommendations aligned with students' strengths and objectives, as well as improved efficiency and accuracy in providing guidance. However, challenges such as language barriers and ethical considerations need to be addressed. The findings contribute to a comprehensive understanding of the current state of AI in transformative academic advising.
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