Introductory Workshop on Learning Analytics

Updated: 12:05pm, 17 Nov, 2022
14 June 2012 (Thu)
Room 101, 1/F., Runme Shaw Building, HKU
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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.

About the speaker(s):

<p>George Siemens is an educator and researcher on learning, networks, analytics, and openness in education. He is the author of Knowing Knowledge, an exploration of how the context and characteristics of knowledge have changed and what it means to organizations today, and the Handbook of Emerging Technologies for Learning. Knowing Knowledge has been translated into Mandarin, Spanish, Persian, and Hungarian. Dr. Siemens is the Associate Director of the Technology Enhanced Knowledge Research Institute at Athabasca University, leading the learning analytics research team. Previously, he was the Associate Director, Research and Development, with the Learning Technologies Centre at University of Manitoba.</p>
<p>He is a frequent keynote speaker at conferences detailing the influence of technology and media on education, organizations, and society, having presented at conferences in more than 30countries. His work has been profiled in provincial, national, and international newspapers (including NY Times), radio, and television. His research has received numerous national and international awards. He received an honorary doctorate from Universidad de San Martin de Porres for his pioneering work in learning, technology, and networks in May 2012. Siemens has maintained the elearnspace blog ( for eleven years and for six years.</p>

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