Connecting Learning Design to Learning Analytics through a Pattern Language Based Learning Design Studio

Updated: 5:09pm, 31 Aug, 2022
15 May 2017 (Mon)
Room 101, 1/F., Runme Shaw Bldg., HKU
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Discussant: Dr. Abelardo Pardo, University of Sydney

Chair: Dr. Susan Bridges, Centre for the Enhancement of Teaching and Learning, Faculty of Education, The University of Hong Kong

There is an increasing interest in recent years in the potential benefits of big data analytics to inform us about students’ learning processes and outcomes as well as the efficacies of the pedagogical designs adopted. This seminar presents work-in-progress in the development of LDSHE (Learning Design Studio—higher education version, funded by the Innovative Technology Fund), which is a tool to support teaching professionals (including teachers, tutors, and instructional designers) in the design and implementation of fully online and blended courses. LDSHE differs from learning design tools developed to-date in that it is underpinned by a systematic pattern language that (1) can capture the different levels of granularity and complexities in learning design; and (2) provide users with context sensitive learning analytics questions in layman terms. In this seminar, the pattern language and the LDSHE will be introduced through actual examples of blended learning and MOOC courses. The potential of the pattern language and LDSHE as a platform for propagating good pedagogical practices and scaffolding an inter-professional community of learning designers and learning analytics developers.

About Dr. Abelardo Pardo
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.

About the speaker(s):

The group of four speakers from the Faculty of Education, University of Hong Kong are part of a tri-institutional research team (HKUST-MIT-HKU), funded by the Innovative Technology Fund, to work on the project “An Open Learning Design, Data Analytics and Visualization Framework for E-Learning”. Nancy Law is a professor in the Division of Information and Technology Studies, Dr. Ling Li is a postdoctoral fellow and Ms. Lilian Farias Herrera is a PhD student in the same Division, and Mr. Andy Chan is a programmer in CITE.

About the speaker(s):
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