Learning analytics uses dynamic information about learners and learning environments, assessing, eliciting, and analyzing it, for real-time modeling, prediction, and optimization of learning processes, learning environments, and educational decision making. This entry details what is involved in a holistic learning analytics framework and discusses the benefits, concerns, and challenges of learning analytics. The entry concludes by suggesting future directions of learning analytics.

Learning Analytics Framework

The result of the increased availability of vast administrative systems with a great deal of academic and personal information is that educational data management, analysis, and interpretation are becoming complex. Several concepts closely linked to processing such educational information are educational data mining, academic analytics, and learning analytics. However, these concepts are often confused and lack universally agreed upon and applied definitions. ...

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