Despite the hype around it, getting started with learning analytics can be a challenge for most everyday lecturers. What can you actually do with data once you get it? As more “everyday” systems (in particular online assessment tools) are able to provide data and/or customised reports, it is getting easier to start applying and using analytics approaches in teaching and learning.
The next case study in our Analytics series focuses on the work of Dr Cath Ellis and colleagues at the University of Huddersfield. It illustrates how they are acting on the data from their e-submission system, not only to enhance and refine their feedback to students, but also to help improve their approaches to assessment and overall curriculum design.
At the analytics session at #cetis13 Ranjit Sidhu pointed out that local data can be much more interesting and useful than big data. This certainly rings true for teaching and learning. Using very local data, Cath and her colleagues are developing a workshop approach to sharing generic assessment data with students in a controlled and emotionally secure environment. The case study also highlights issues around data handling skills and the need for more evidence of successful interventions through using analtyics.
You can access the full case study here.
We are always looking for potential case studies to add to our collection, so if you are doing some learning analtyics related work and would be willing to share your experiences in this way, then please get in touch.