The rapid advancement of artificial intelligence technologies has significantly influenced contemporary educational practices, particularly within higher education. Universities are increasingly exploring the pedagogical potential of AI–driven tools to enhance teaching, learning, and assessment processes across academic disciplines. Within this evolving educational landscape, understanding how artificial intelligence is being integrated into higher education pedagogy has become an important focus of educational research. This study presents a systematic review of the scholarly literature examining emerging educational practices associated with the use of artificial intelligence in university teaching and learning contexts. A structured search was conducted in the Scopus database to identify peer-reviewed publications addressing the pedagogical applications of artificial intelligence in higher education. The selected studies were screened and analyzed according to predefined inclusion criteria to synthesize current research trends, pedagogical models, and technological approaches discussed in the literature. The review identifies several key areas in which artificial intelligence is being integrated into higher education pedagogy, including intelligent tutoring systems, adaptive learning environments, automated feedback and assessment tools, and the use of generative artificial intelligence to support student learning and academic writing. Additionally, the literature highlights emerging discussions on ethical considerations, academic integrity, and the evolving roles of instructors and learners in educational environments mediated by artificial intelligence. Overall, the findings indicate that artificial intelligence is reshaping pedagogical practices by enabling more personalized, data-informed, and interactive learning experiences. This review contributes to a deeper understanding of how artificial intelligence technologies are transforming higher education pedagogy and outlines directions for future research on responsible and effective integration of artificial intelligence in university teaching and learning.