Student Evaluation and Learning Analytics
The use of, and discussions about learning analytics has become increasingly prevalent in higher education. Learning analytics involves the collection of educational data, such as grades, survey responses, or number of accesses to online resources from various learning environments to better inform how students learn and engage in their course or programme. At UL, the issue of survey fatigue has been raised at a number of fora within the University over the past number of years. The Student Evaluation and Learning Analytics (StELA) project will look at why we ask students for feedback, the most effective methods to use and how we can best use the feedback provided by students. As students interact with the virtual learning environments and other university systems, what insights can we draw from this existing data? Can the insights from multiple feedback mechanisms be triangulated to provide reliable information that can be acted upon?
The StELA project has 4 main goals ;
Through survey, focus groups and interview, we will explore staff and student attitudes to the use of educational data and how the use of existing datasets can be used to enhance student learning, enhance services provided by the University and ultimately close the feedback loop.
|Project Phases and Timelines||Research Privacy Notice|
|Launch workshop||January 23rd, 2020||Read the report|
|Staff Survey||Opens Tuesday 27th October to Monday November 6th 2020||Take the survey|
|Staff focus groups||December 1 (am),7th,8th (am), 10th, 2020||Sign up for a focus group||Focus groups will take place on line and will be one hour in duration||Information|
|Student focus groups||18th-19th November, 23-24 November 2020||Focus groups will take place on line and will be one hour in duration||Information|
The StELA project is funded by the National Forum for the Enhancement of Teaching and Learning under the Strategic Alignment Teaching and Learning Enhacement (SATLE) fund.