To improve the effectiveness of teaching and better understand how students learn, some schools are beginning to harvest and analyze as much data as they can. Big data and learning analytics attempt to use the results of every assignment, exam, social interaction and class discussion to discover the overlooked factors that contribute to a student’s learning experience.
Most importantly, by accessing data sets and instant analytics, educators can identify areas where students need help, which can then be addressed in personalized learning plans. Instead of wasting time repeating lessons they understand, students can work on improving their skills. Additionally, understanding a student’s learning history may help predict future performance.
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