Learning analytics systems, such as those used in platforms like Google Classroom or Moodle, collect and analyze data on student engagement, performance, and progress. They help teachers identify who needs support, track learning patterns, and personalize instruction. The potential of these systems lies in their ability to promote data-driven decisions and improve teaching strategies. Students can also monitor their own progress, which supports self-regulated learning.

However, challenges include data privacy, ethical use, and over-reliance on numerical indicators. Analytics may overlook emotional, social, or contextual factors that affect learning. Educators need to interpret data carefully and use it as one part of a holistic assessment. When used responsibly, learning analytics can enhance both teaching effectiveness and learner outcomes.