Chair: Professor Nancy Law, Deputy Director, CITE, Faculty of Education, The University of Hong Kong
Learning analytics is a discipline that uses data captured by technology during a learning experience to increase our level of understanding, increase its quality, and improve the environment in which it occurs. But these experiences need to be designed first. In this talk we start from the statement that there is no such thing as a neutral design. In the era of increasing technology mediation Learning experiences need to be designed considering the capacity to capture data, the possibility of making sense and derive knowledge from the data, and the need to act on that knowledge. In this talk we will explore some initiatives to make these connections explicit in a learning design. Using a flipped learning experience, we will explore how to embed data and data analysis as part of the design tasks.
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.