@inproceedings{82a495e3c898404b8e69ae7b46fa22e8,
title = "Investigating the Transferability of the Productive Beginnings of Engineering Judgment Framework from Interview Data to Group Discourse Data",
abstract = "Our research team has been working to understand how students develop and use mathematical models - the practice of engineering judgment - while completing open-ended modeling problems (OEMPs) during their undergraduate engineering science courses. We have used retrospective interviews, in which students review their work and discuss what they were thinking when they originally completed the problem, to develop a Productive Beginnings of Engineering Judgment (PBJ) Framework. This paper presents the transferability of our PBJ framework to a new data set - students' discourse as they complete an OEMP in a small group. Examining this discourse data confirms that the PBJ Framework applies to students' engineering judgment in-the-moment while working on an open-ended assignment. We also discuss three potential new codes for our PBJ Framework that need further exploring, and how students' written assignments do not fully capture the engineering judgment they used when completing the OEMP with their peers.",
keywords = "discourse analysis, engineering judgment, modeling, transferability, undergraduate",
author = "Chloe Kimberlin and Jack Perry and Johnson, \{Aaron W.\} and Swenson, \{Jessica E.S.\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Frontiers in Education Conference, FIE 2022 ; Conference date: 08-10-2022 Through 11-10-2022",
year = "2022",
doi = "10.1109/FIE56618.2022.9962516",
language = "English",
series = "Proceedings - Frontiers in Education Conference, FIE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE Frontiers in Education Conference, FIE 2022",
address = "United States",
}