@inproceedings{d1cac25417dd41edbfa3364f899501ad,
title = "Exploring constructive learning activity in online programming discussion forums",
abstract = "In this paper, we investigated constructive engagement activities in an online programming discussion forum. We engineered features according to the forum content and built a logistic regression model based on the underlined cognitive processes in constructive learning activities. We hypothesized that performing any engaging activities after reading constructive content contributes to learning. This work aimed to discover such behavior in a free-formed online discussion setting and assess the impacts. Evaluation results revealed and reconfirmed the value of content constructiveness in the discussion forum. Our findings also suggested that detecting constructive content could be a helpful classifier in discerning relevant information to the users and in turn creating opportunities to optimize learning.",
keywords = "Constructive learning, Discourse analysis, Discussion forum, Engagement activity, Learning activity, Learning assessment, Programming, Semantic analysis, Topical focus",
author = "Ihan Hsiao",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 15th IEEE International Conference on Advanced Learning Technologies, ICALT 2015 ; Conference date: 06-07-2015 Through 09-07-2015",
year = "2015",
month = sep,
day = "14",
doi = "10.1109/ICALT.2015.59",
language = "English (US)",
series = "Proceedings - IEEE 15th International Conference on Advanced Learning Technologies: Advanced Technologies for Supporting Open Access to Formal and Informal Learning, ICALT 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "223--227",
editor = "Nian-Shing Chen and Tzu-Chien Liu and Kinshuk and Ronghuai Huang and Gwo-Jen Hwang and Sampson, {Demetrios G.} and Chin-Chung Tsai",
booktitle = "Proceedings - IEEE 15th International Conference on Advanced Learning Technologies",
}