Learning Analytics Life Cycle. Step one header, define data need. Body, identify need and formulate question. Step two header, Data mining. Body, data request and report building. Step three header, data analysis. Body, review data and identify actionable patters. Step four header, implement change. Body, targeted change and data driven decisions. Step five header, evaluate results. Body, measure results. Step six header, reflect. Body, define data request.

Learning Analytics

Your data–on demand.  Using the Canvas Data Portal and other resources, we can build custom reports on a variety of topics to assist you in creating a more engaging learning experience for your students.

Topics include student activity trends, student course navigation patterns, discussion participation levels, assignment submission times, real-time retention/success rates, time spent completing assignments, and more.

Stop by for a visit anytime; we’re happy to help!