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7 Things You Should Know About First-Generation Learning Analytics
Tuesday, December 6, 2011
Learning analytics (LA) applies the model of analytics to the specific goal of improving learning outcomes. LA collects and analyzes the “digital breadcrumbs” that students leave as they interact with various computer systems to look for correlations between those activities and learning outcomes. The type of data gathered varies by institution and by application, but in general it includes information about the frequency with which students access online materials or the results of assessments from student exercises and activities conducted online. Learning analytics tools can track far more data than an instructor can alone, and at their best, LA applications can identify factors that are unexpectedly associated with student learning and course completion.
The "7 Things You Should Know About..." series from the EDUCAUSE Learning Initiative (ELI) provides concise information on emerging learning technologies. Each brief focuses on a single technology and describes what it is, where it is going, and why it matters to teaching and learning. Use these briefs for a no-jargon, quick overview of a topic and share them with time-pressed colleagues.
In addition to the "7 Things You Should Know About…" briefs, you may find other ELI resources useful in addressing teaching, learning, and technology issues at your institution. To learn more, please visit the ELI Resources page.
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