TY - GEN
T1 - Visualization of Course Discussion Forums
T2 - 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019
AU - Wu, Ming
AU - Dewan, M. Ali Akber
AU - Lin, Fuhua
AU - Murshed, Mahbub
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - This paper presents a short review of existing visualization systems that focus on online course discussion forums. Discussion forums in online courses are used as an important means for students-students and students-instructors communications. However, a large amount of asynchronous and heterogeneous posts in the discussion forums and their complex relationships make it difficult to track and extract meaningful information about the students' activities and progress in the online courses. Information visualization has shown promise on this to facilitate online learning, especially for predicting students' performance on tasks and assessments, understanding students' affects and sentiments, and predicting students' social behavior pattern and awareness. In this review, we detailed the applications of the existing visualization systems, their design considerations, and their strengths and weaknesses in the context of discussion forum analyses. This information will provide insight into how to build an effective visualization system for the online courses' discussion forums.
AB - This paper presents a short review of existing visualization systems that focus on online course discussion forums. Discussion forums in online courses are used as an important means for students-students and students-instructors communications. However, a large amount of asynchronous and heterogeneous posts in the discussion forums and their complex relationships make it difficult to track and extract meaningful information about the students' activities and progress in the online courses. Information visualization has shown promise on this to facilitate online learning, especially for predicting students' performance on tasks and assessments, understanding students' affects and sentiments, and predicting students' social behavior pattern and awareness. In this review, we detailed the applications of the existing visualization systems, their design considerations, and their strengths and weaknesses in the context of discussion forum analyses. This information will provide insight into how to build an effective visualization system for the online courses' discussion forums.
KW - discussion forum
KW - information visualization
KW - learning management system
KW - online learning
KW - visual analytics.
UR - http://www.scopus.com/inward/record.url?scp=85084451527&partnerID=8YFLogxK
U2 - 10.1109/CCECE43985.2019.9052406
DO - 10.1109/CCECE43985.2019.9052406
M3 - Published Conference contribution
AN - SCOPUS:85084451527
T3 - 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019
BT - 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019
Y2 - 5 May 2019 through 8 May 2019
ER -