Title: From Knowledge to Action. Analytics to Support Learning and Teaching
Learning experiences are increasingly mediated by technology producing
detailed data sets about the interactions between learners, resources and
instructors. Educational institutions have traditionally collected this data
sets and are now in the position to use them to increase their understanding
and quality of the student experience. However, the process to translate this
data into useful knowledge, or even into actionable items that can be deployed
in a learning experience is still challening. This presentation will examine
the elements, skills and processes to translate data into actionable knowlege
to support instructors and students.
Abelardo Pardo is Associate Professor in the School of Electrical and Information Engineering at The University of Sydney, Australia. He is the director of the Learning and Affect Technologies Engineering Research Laboratory and deputy director of the Centre for Research in Learning and Innovation. His research interests include the design and deployment of technology to increase the understanding and improve digital learning experiences. More specifically, his work examines the areas of learning analytics, personalized active learning, and technology for student support.