Discovery of Structural and Temporal Patterns in MOOC Discussion Forums

Author(s):  
Tobias Hecking ◽  
Andreas Harrer ◽  
H. Ulrich Hoppe
1978 ◽  
Vol 23 (11) ◽  
pp. 856-857
Author(s):  
W. LAWRENCE GULICK
Keyword(s):  

2013 ◽  
Author(s):  
J. Navarro ◽  
L. Ceja ◽  
J. Poppelbaum ◽  
D. Gomes
Keyword(s):  

2019 ◽  
Vol 38 (2) ◽  
pp. 239-254
Author(s):  
M.B. SINGH ◽  
◽  
NITIN KUMAR MISHRA ◽  

2019 ◽  
Vol 620 ◽  
pp. 201-214 ◽  
Author(s):  
K Thomisch ◽  
O Boebel ◽  
J Bachmann ◽  
D Filun ◽  
S Neumann ◽  
...  

Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.


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