<![CDATA[This study aimed to apply the learning analytics approach to map students' conceptual understanding and learning outcomes based on Grade XI physics semester examination data. A descriptive quantitative method was employed using retrospective data from the first-semester examination records of 21 students at MA Dakwah Islamiyah Putri Kediri during the 2022/2023 academic year. The analysis included descriptive statistics, learning outcome distribution, mastery learning based on the Minimum Mastery Criterion (MMC), item difficulty analysis, conceptual understanding classification, and the development of a Learning Analytics dashboard. The findings revealed variations in students' learning outcomes and conceptual understanding, reflected in the distribution of achievement levels, mastery learning, and differences in the difficulty of individual test items. These findings provide a comprehensive overview of students' learning characteristics and identify concepts that may require further instructional reinforcement. The study demonstrates that Learning Analytics can transform assessment data into meaningful diagnostic information to support data-informed instructional decision-making, including the planning of remedial instruction, enrichment activities, and continuous improvement of physics teaching strategies.]]>
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