Learning Analytics is measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.
We use data about students and their activities to help understand and improve educational processes, and provide better support to learners. It should be for the benefit of students, whether assisting them individually or using aggregated and anonymised data to help other students or to improve the educational experience more generally.
Learning Analytics is placed within Success Objective 5: Retention and Achievement
Scope and invest in a Learning Analytics tool to provide effective visual dashboards based on data that demonstrably impacts on learner engagement/success (e.g. VLE usage, library usage, attendance monitoring).This will be used by Personal Coaches to support students either at risk of withdrawing through low levels of engagement, or who can be encouraged to succeed at a higher level. This will also assist in meeting our duties under the Strategic Equality Plan.
The issues of retention and attainment have always been complex problems, and difficult to solve with a single approach. However, advances in technology, and specifically educational technology are opening doors that allow us to look more closely at these issues. Learning analytics can contribute to addressing the issues of student retention and student attainment.
The new General Data Protection Regulation (GDPR) adds bite to the current data protections laws and tasks the Information Commissioners Office (ICO) with ruling on how we use Learning Analytics
We have developed the following:
Current Interpretation of this from JISC is we:
We are exploring three core products:
Data Explorer provides a series of dashboard that visualises data such as VLE activity and grades. It is hoped that further data such as attendance and library usage will be made available as we move forward. It will be piloted from September as part of the Personal Academic Coaching project.
It’s function is to explore live and historic data from the VLE and Quercus and pull this into a series of dashboards and visualisations. These can help inform the conversations PAC’s have during coaching sessions.
We are planning training to run alongside the Introduction to Personal Academic Coaching training sessions.
View more information about dates/locations on our Help and Support pages.