The event provided a forum to discuss the current challenges and tools available to help in making sense of big data and how we might use big data as part of making decisions about teaching and learning, drawing from the potential of learning analytics.
The presentations covered how big data can be used to help in both schools and higher education providing an overview of how the type of data used, the process of bringing in the data into schools and Universities and some of the challenges encountered.
You can access presentations and demos here.
What are Learning Analytics?
The most dramatic factor shaping the future of higher education is something that we can’t actually touch or see: big data and analytics (2). There are various definitions to Learning Analytics:
“Learning Analytics collects and analyses the “digital breadcrumbs” that students leave as they interact with various computer systems to look for correlations between those activities and learning outcomes.” – Donald M. Norris
“Learning Analytics is the 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.” – 1st International Conference on Learning Analytics and Knowledge