Towards a Convergent Development of Learning Analytics

Publication Type:
Journal Article
Citation:
Journal of Learning Analytics, 2017, 4 pp. 1 - 6
Issue Date:
2017-12
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
5846-Article Text-26085-1-10-20171203.pdfPublished Version323.77 kB
Adobe PDF
In the last 7 years, since the first LAK conference, Learning Analytics has grown rapidly as a field from a small group of interested scholars and practitioners to one of the most scientifically successful and institutionally accepted areas of Learning and Educational Technologies. Learning Analytics is often referred as a "Middle-Space" where experts from diverse fields (from the Learning Sciences, Computer Science, Human-Computer Interaction, Psychology and Behavioural Sciences, just to name a few) share their perspectives on how to better understand and optimize learning processes and environments using this new instrument called Data Science.
Please use this identifier to cite or link to this item: