The University of London in partnership with Altis is working to develop a data-driven 'early-warning' system that facultiy and advisors can use to support student academic success.
The problem:
The solution
An automated, cloud based solution which:
After business requirements were communicated with the UX and development team I began this project by developing a series of wireframes to get a more tangible grasp of the block's functionality.
They proved valuable to the developers as it gave them a clear picture of the elements that they will need to code. For the back-end developer I produced low-fidelity wireframes to show the structure, functionality and behaviour. For the front-end developer I produced high-fidelity wireframes to show content and information hierarchy as well.
The University of London International Academy piloted this project by adding the block to one of their Learning Environments (Postgraduate Laws Programme). We then decided to do a remote usability testing to gather initial student feedback, which proved extremely valuable in determining the effectiveness of placing the block on the VLE.
To carry out the usability testing session I coded the front-end of a HTML prototype based on the wireframe (Option 2: layout3) whilst a PhP developer integrated it with the back-end reporting system. I then created the test plan and lead the testing session assisted by the University's Student Engagement coordinator who helped to recruit the participants and introduced the testing session.
The session was recorded and after listening and analysing the data I wrote a report with the findings and recommendations which was then communicated to the client.