Introduction to Learning Analytics
Learning analytics is an emerging field that utilizes campus data and information to guide individual student success and institutional decision making. It can be viewed as an extension of established analytics and reporting practices developed on top of UC Berkeley’s Enterprise Data Warehouse (EDW), known as CalAnswers. The shift that learning analytics brings is the use of real time activity data gleaned from the systems and tools students interact with. The graphic below shows how the data would flow: user activity is combined with institutional data (i.e, the types of data in CalAnswers), analysed, and then returned to various contexts (e.g., the LMS) to fulfill a variety of purposes, including personalized learning paths, real time alerts, and dashboards to help faculty and advisors gauge student engagement and understanding.
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