<![CDATA[This study aims to analyze the opportunities and challenges of utilizing learning analytics in digital learning environments. The research employed a systematic literature review of 30 scholarly articles published between 2015 and 2025, retrieved from reputable academic databases. Data were analyzed using thematic analysis to identify key patterns, trends, and issues in the implementation of learning analytics. The findings reveal that learning analytics has significant potential to enhance learning quality through predictive functions, personalized learning, and improved student engagement. However, its implementation faces critical challenges, particularly related to ethical concerns, data privacy, limited data literacy, and insufficient integration with pedagogical approaches. The study also highlights the dominance of a technocentric perspective, which often overlooks the humanistic dimensions of education. As a contribution, this study proposes the Integrative Learning Analytics Pedagogical-Based Model (ILAP), which integrates technological, pedagogical, and ethical dimensions into a holistic framework. The implications emphasize the need to strengthen educators’ data literacy, develop robust data governance policies, and promote context-sensitive and sustainable implementation of learning analytics.]]>
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