Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
10-2019
Abstract
Discussion forums play a key role in building knowledge repositories in an education institute. Asynchronous discussion forums enable part-time graduate professionals to have a better learning experience. This paper reports how a carefully curated discussion forum enhances the cognitive and social interactions among students in a graduate information systems course. In particular, we analyse the cognitive and social interactions and their impact on the student grades. To our surprise, the graduate students with their limited time resources, have higher order cognitive contributions and reasonable amount of social posts. We present the discussion forum design, cognitive and social behaviour analysis, grade analysis, and social network analysis. We use statistical methods and qualitative analysis to present our findings. Our findings provide useful insights that can be used in designing and implementing discussion forums in graduate business-technical courses.
Keywords
Interaction analysis, Online Discussion Forums, Cognitive analysis, Social network analysis
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
2019 49th Frontiers in Education Conference (FIE): Cincinnati, OH, October 16-19: Proceedings
First Page
1
Last Page
8
ISBN
9781728117461
Identifier
10.1109/FIE43999.2019.9028485
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
GOKARN NITIN, Mallika; GOTTIPATI, Swapna; and SHANKARARAMAN, Venky.
Cognitive and social interaction analysis in graduate discussion forums. (2019). 2019 49th Frontiers in Education Conference (FIE): Cincinnati, OH, October 16-19: Proceedings. 1-8.
Available at: https://ink.library.smu.edu.sg/sis_research/4517
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/FIE43999.2019.9028485
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons