@inproceedings{658422a9be0949bcac313ade7e4b9dda,
title = "See the collaboration through the code: Using data mining and cordtra graphs to analyze blocks-based programming",
abstract = "This paper describes an exploratory study that leveraged data mining, qualitative analysis, and Chronologically-Ordered Representations of Discourse and Tool-Related Activity (CORDTRA) diagrams to identify and analyze key moments in students{\textquoteright} collaborative app building during a 12-week computing curriculum. Our analysis showed that two key practices emerged: 1) Students leveraged their past work and tutorials to support their app development, both on their own and with peers; and 2) Students largely developed their own parts of group apps without feedback from peers or referencing prior work. We discuss how patterns revealed in this mixed-methods approach affected how students constructed code, with an eventual goal of identifying how these patterns shaped students{\textquoteright} final projects.",
author = "Mike Tissenbaum and Vishesh Kumar",
note = "Publisher Copyright: {\textcopyright} ISLS.; 13th International Conference on Computer Supported Collaborative Learning - A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, CSCL 2019 ; Conference date: 17-06-2019 Through 21-06-2019",
year = "2019",
doi = "10.22318/cscl2019.680",
language = "English (US)",
series = "Computer-Supported Collaborative Learning Conference, CSCL",
publisher = "International Society of the Learning Sciences (ISLS)",
pages = "680--683",
editor = "Kristine Lund and Niccolai, {Gerald P.} and Elise Lavoue and Cindy Hmelo-Silver and Gahgene Gweon and Michael Baker",
booktitle = "A Wide Lens",
}