<![CDATA[Learning analytics has become an important data-driven approach for improving teaching, learning, and student success in higher education. This study aims to examine the opportunities and challenges of learning analytics through a Systematic Literature Review (SLR) using the PRISMA 2020 framework. Literature published between 2020 and 2025 was collected from major academic databases and analyzed thematically. The findings indicate that learning analytics enhances student success by improving academic performance, student engagement, personalized learning, early intervention, and institutional decision-making. Technologies such as artificial intelligence, educational data mining, and learning management systems further strengthen these capabilities. However, implementation remains constrained by ethical concerns, data privacy, technological infrastructure, faculty readiness, and organizational capacity. The study concludes that effective governance and responsible implementation are essential for maximizing the educational benefits of learning analytics in higher education.]]>
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