Edinburgh University is investing in the use of learning analytics for course design, attainment, and improving the student experience.
We think learning analytics and student data analysis hold great potential to address the challenges confronting educational institutions. By merging technical methods for data mining and with educational theory research and practice, learning analytics offer novel and real-time approaches to assessing critical issues such as student progression and retention, 21st century skills acquisition, as well as personalised learning.
The University of Edinburgh has a wide range of activities in the field of learning analytics. As shown in the diagram below, these activities cross many disciplinary, organisational, practice, and research boundaries.
The projects offer a heady mix of acronyms, names and aims. Just to prove that anything worth doing can be mapped across a 2×2 matrix, we have developed one to show the spread of our activity and projects.
Learning Analytics Map of Activities, Research and Roll-out (LAMARR*)
You can read more about each of them on the IS Learning Analytics Web pages
Led by the Vice-Principal Digital Education, Centre for Research in Digital Education, School of Informatics, Information Services, Student Systems, and the Institute for Academic Development, activities in learning analytics include University leaders, researchers, and practitioners from support, research, and academic units of the University collaborating on a variety of projects funded through both internal and external sources.
*As well as being a Hollywood actress, Hedy Lamarr also invented wifi and bluetooth #womenintech