Learning analytics and higher education development: Towards a research agenda


Workshop on Analyzing Social Media and Learning Through Content and Social Network Analysis: A Faceted Methodological Approach


Date: 20 February 2017 (Monday)
Time:
2:30 pm – 6:00 pm
Venue: Room 930, Level 9
Caritas Institute of Higher Education
18 Chui Ling Road, Tseung Kwan O, New Territories [Map]
(Exit B, MTR Tiu Keng Leng Station)

Speaker: Dr Anatoliy Gruzd
Canada Research Chair in Social Media Data Stewardship
Associate Professor, Ted Rogers School of Management
Director, Social Media Lab
Ryerson University

Dr Anatoliy Gruzd is a Canada Research Chair in Social Media Data Stewardship, Associate Professor at the Ted Rogers School of Management at Ryerson University (Canada) and Director of the Social Media Lab. He is also a co-editor of a multidisciplinary journal on Big Data and Society published by Sage and a co-founder and chair of the International Conference on Social Media and Society. His research initiatives explore how the advent of social media is changing the ways in which people communicate, collaborate and disseminate information and how these changes impact the social, economic and political norms and structures of modern society.

Abstract:
In just a short period of time, social media have altered many aspects of our daily lives, from how we form and maintain social relationships to how we discover, access and share information online. Now social media are also affecting how we teach and learn. This workshop will discuss methods that can help researchers and educators evaluate and understand the observed and potential use of social media for teaching and learning through content and network analyses of social media texts and networks. The broad goal is to provide researchers, educators and learners with tools and techniques that will help them to determine whether a particular use of social media is beneficial to teaching and learning. The workshop will also demonstrate various open source libraries available in R, a popular software environment for statistical computing and graphics, to perform content and network analyses.

Enquiries: Hoyee Auyeung (The Open University of Hong Kong)
Tel: 2768 6051
Email: hauyeung@ouhk.edu.hk
Co-organized by: The Open University of Hong Kong
Caritas Institute of Higher Education
School of Professional Education and Executive Development, the Hong Kong Polytechnic University
 

This event was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/IIDS16/H01/15).


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