This review paper examines existing visualization systems designed for analyzing online course discussion forums. These forums are crucial for communication between students and instructors, but the large volume and complexity of posts make it challenging to track and extract meaningful information. The paper highlights how information visualization can aid in predicting students' performance, understanding their emotions and sentiments, and analyzing social behavior patterns. It details various visualization systems, their design considerations, and evaluates their strengths and weaknesses to offer insights for developing effective visualization tools for online course discussions.
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Wu, Ming, et al. "Visualization of course discussion forums: a short review from online learning perspective." 2019 IEEE Canadian conference of electrical and computer engineering (CCECE). IEEE, 2019.
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