The 7th International Learning Analytics & Knowledge Conference
Simon Fraser University, Vancouver, BC, Canada
13–17 March, 2017
The amount of data extracted from learning experiences has grown at an astonishing pace both in depth due to the increasing variety of data sources, and in breath with courses now being offered to massive student cohorts. However, in this emerging scenario instructors are now facing the challenge of connecting the knowledge emerging from data analysis with the provision of meaningful support actions to students within the context of an instructional design.
The half-day session comprises of a set of hands-on activities with prepared material. Attendees are required to bring their own laptop. The nature of the topic will appeal to researchers and practitioners in the areas of learning analytics, educational data mining, instructional design, and any academic interested in improving the timeliness and relevance of feedback and support for their students. Attendees are not required to have experience with any programming language but need to be familiar with the conventional data management procedures required in a course with a large number of students such as for example combining scores and observations from multiple sources.