At my HE institution, virtually all your interaction with the University is handled by NFC smart-cards, as is likely true at most Universities. Whether you’re tapping into lectures, opening faculty-specific doors, going through the library turnstiles or anything else, this is linked to your student card.
Linking this to online transactions like signing into the University’s VLE or using online resources for research papers or Box of Broadcasts gives faculty staff an easy way to check if you’re engaging with your subject, but if requesting a copy of this data allows you to work out some interesting stats.
You can see a live version of the tile layout to the left of the application being run on a set of sample data.
The application is a Node.JS Express application that takes uploaded CSVs and converts them to JSON objects, which are then processed and broken down by categories, analytics are performed before it’s passed back to express and shown in the front-end, with the original data file being deleted from the server immediately.
All the code is open-source and available on GitHub and I have a live instance that is deployed by Zeit Now’s Continuous Integration. Both the source code and the live instance are linked at the bottom of this page, so you can either use it online or spin up your own application instance super easily.
This application was designed for the data output produced for the specific data types used by the University of Hull’s SEAtS analytics instance, however it can easily be forked and adjusted for other institutions.