2026-05-22T20:26:46Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-1546322024-12-20T18:25:12Zoai_pmh:alloai_pmh:repo_items154632
https://hdl.handle.net/2286/R.I.38694
http://rightsstatements.org/vocab/InC/1.0/
All Rights Reserved
2016
vi, 41 pages : color illustrations
Masters Thesis
Academic theses
Text
eng
Aggarwal, Adithya
Hsiao, Ihan
Lopez, Claudia
Walker, Erin
Arizona State University
Partial requirement for: M.S., Arizona State University, 2016
Includes bibliographical references (pages 39-41)
Field of study: Computer science
Online discussion forums have become an integral part of education and are large repositories of valuable information. They facilitate exploratory learning by allowing users to review and respond to the work of others and approach learning in diverse ways. This research investigates the different comment semantic features and the effect they have on the quality of a post in a large-scale discussion forum. We survey the relevant literature and employ the key content quality identification features. We then construct comment semantics features and build several regression models to explore the value of comment semantics dynamics. The results reconfirm the usefulness of several essential quality predictors, including time, reputation, length, and editorship. We also found that comment semantics are valuable to shape the answer quality. Specifically, the diversity of comments significantly contributes to the answer quality. In addition, when searching for good quality answers, it is important to look for global semantics dynamics (diversity), rather than observe local differences (disputable content). Finally, the presence of comments shepherd the community to revise the posts by attracting attentions to the posts and eventually facilitate the editing process.
Computer Science
Educational technology
Information Technology
Constructive Learning
Content Controversy
Discussion Forums
Programming
Q&A
StackOverflow
Electronic discussion groups
Group work in education
Exploring generic features for online large-scale discussion forum comments