@inproceedings{bc1b8e312db34b98a833dbee1c838fc8,
title = "Exploring constructive learning activity in online programming discussion forums",
abstract = "In this paper, we explored constructive learning activities in an online programming discussion forum. We built a logistic regression model based on the underlined cognitive processes in constructive learning activities. The results confirmed that the crowd perceived Accepted Answers were likely to contain more constructive words. More importantly, users had as many interactions with Answers as with Accepted Answers, disregarding the quantity of constructive words. They especially bookmarked more and up voted more in difficult Answers when the content had more constructive words. The findings supported that passiveproactive behavior exists and suggested that detecting constructive content can be a helpful classifier in discerning relevant information to the users, and in turn optimizing learning opportunities.",
keywords = "Constructive learning, Discourse analysis, Engagement activity, Forum, Learning activity",
author = "Hsiao, {I. Han} and Piyush Awasthi",
year = "2015",
month = jan,
day = "1",
language = "English (US)",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "787--788",
editor = "Oskar Lindwall and Paivi Hakkinen and Timothy Koschmann and Pierre Tchounikine and Sten Ludvigsen",
booktitle = "Exploring the Material Conditions of Learning",
note = "11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015 ; Conference date: 07-06-2015 Through 11-06-2015",
}