In KI's information management strategy, analyzing the (online) learning environments is one of the focus areas. Teaching is going to be more digitized, and Karolinska Institutet will build competence to be able to use data on students' activities and achievements to adapt pedagogy in education and communication with students.
On this page, we will introduce the concept and applications of Learning Analytics (LA) in teaching and learning in the higher education context.
Know more about learning analytics
What is learning analytics?
Learning analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs (Long et al 2011).
How learning analytics can help us improving our teaching and learning activities?
Traditionally, the most common use of learning analytics is the prediction of student academic success, and more specifically, the identification of students who are at risk of failing a course or dropping out of their studies. But learning analytics is far more powerful...
Code of Practice on Learning Analytics at KI
Using learning analytics in education is somehow new in higher education and universities and colleges are understandably concerned about the General Data Protection Regulation (GDPR) and its impact on the process.