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Here's a brief recap of the session:
Introduction:
Abi Evans from the University of Washington walked us through how sorting out Canvas data can help us amend course design.
Details:
Canvas data was turned into a series of nice visualizations that helped make the data more digestible. Of course, with the exclusion of mobile data we're not getting a full picture. Still, there was enough good information to draw interesting conclusions about how students are making use of their courses. We looked at the design of three courses, one rated poorly, one moderate, and one good. The ratings were determined based on the amount of clicks in each course. In this case, it was believed that fewer was better as it indicated students were quickly finding what they needed. Too many clicks indicates students may be getting lost and confused in the course. These ratings are turned into a visual for the instructors, and delivered with a series of suggestions for improving course design.
Conclusion:
Really great work, met with lots of eagerness from the crowd. We all want meaningful analytics! Once the project is rolled out more broadly, it will be interesting to see how instructors respond.
