Introductory Workshop on Learning Analytics

9:30 am – 12:30 pm   (Introduction to Learning Analytics)
2:00 pm – 4:30 pm     (Examples of learning analytics tools and analyses)

With the increasing popularity of different technology tools and social media being used to support learning, large amounts of data trails are left by learners in their interactions with technology, with information, with teachers and with peers and experts within and outside their own educational institution. Such trails are potentially rich sources of data that can be analyzed to provide better understanding of learning at individual, group, course and institutional levels to guide practice and to support data-driven construction of theories of learning. Learning analytics (LA) is an emerging field of study involving the measurement, collection, analysis and reporting of data about learners and their contexts, with the goal of understanding and optimizing learning and the environments in which it occurs. This one-day workshop is divided into two parts. In the morning, Dr. George Siemens will give an introduction to the field of Learning Analytics, as well as the major methodologies and tools employed by researchers in this field. In the afternoon, two research teams in CITE led by Professor Nancy Law will share with workshop participants the big data problems they have been tackling, followed by open discussions and explorations.

Seats are limited to 60 for the Morning Session (9:30 am – 12:30 pm) & 30 for the Afternoon Session (2:00 pm – 4:00 pm) and registration is on the first-come first-serve basis.  Registration will be closed when seats are filled.