This is a two-part project in my Learning Analytics course that evaluates different paths of usage for a current education technology product and the data that can be collected.
Through an analysis of the online annotation tool, Hypothes.is, I looked at different engagement methods and mapped how different actions create traceable data that can be used to build solutions to improve students’ reading strategies.
In my solution, I decided to collect student behavioral data within the app and as student content data. In looking at both how students interact with Hypothes.is (ex. time logged for accessing the reading, time spent on a page, time logged for closing out of the reading) as well as the content students produce (ex. number of annotations, type of annotations, length of annotations), I could capture a holistic view of how students approach their reading work.
I proposed that this data be used to inform teachers which students are struggling with their reading and annotating and be able to pinpoint why. The final solution will be posted here once it is completed in a few weeks!