Gero, J. S., & Song, T. (2017, June), The Decomposition/Recomposition Design Behavior of Student and Professional Engineers  Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--28953

\bibitem{asee_peer_28953}
  Gero, J. S., \& Song, T. (2017, June), \emph{The Decomposition/Recomposition Design Behavior of Student and Professional Engineers}
  Paper presented at 2017 ASEE Annual Conference \& Exposition, Columbus, Ohio.
  10.18260/1-2--28953

John S Gero and Ting Song.  "The Decomposition/Recomposition Design Behavior of Student and Professional Engineers".  2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017, June.  ASEE Conferences, 2017.  https://peer.asee.org/28953 Internet.  13 Dec, 2024

\bibitem{asee_peer_28953}
  John S Gero and Ting Song.
  "The Decomposition/Recomposition Design Behavior of Student and Professional Engineers".
  \emph{2017 ASEE Annual Conference \& Exposition, Columbus, Ohio, 2017, June}.
  ASEE Conferences, 2017.
  https://peer.asee.org/28953 Internet.  13 Dec, 2024

@INPROCEEDINGS{asee_peer_28953
author = "John S Gero and Ting Song"
title = "The Decomposition/Recomposition Design Behavior of Student and Professional Engineers"
booktitle = "2017 ASEE Annual Conference \& Exposition"
year = "2017"
month = "June"
address = "Columbus, Ohio"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/28953}
number = {10.18260/1-2--28953}
}

TY  - CPAPER
AB  - In engineering education, engineering design plays a significant role. It is an important shaper of engineering design thinking. Among engineering design skills, problem decomposition and problem recomposition is a commonly used strategy but it has not been investigated widely. The research reported in this paper examines the use of decomposition and recomposition strategies in the context of engineering teams of undergraduate students and professional engineers. It used protocol analysis as the methodology, where video and audio data were collected from design teams work on solving an engineering design problem. The data was transcribed, segmented, and coded. A hierarchical coding scheme based on the FBS ontology and levels of the problem was used to code the data. The data was analyzed statistically and the results indicate significant differences between students and professionals in terms of their decomposition/recomposition behavior. Engineering professionals used the strategy of problem decomposition and problem recomposition more than students in their engineering design process. In addition, professionals used the strategy more in the first half of their design sessions than in the second half while students tended to use the strategy evenly through their entire design sessions. Another study involving a larger sample size is necessary to confirm the generality of the conclusions from this research.
AU  - John S Gero
AU  - Ting Song
CY  - Columbus, Ohio
DA  - 2017/06/24
PB  - ASEE Conferences
TI  - The Decomposition/Recomposition Design Behavior of Student and Professional Engineers
UR  - https://peer.asee.org/28953
DO  - 10.18260/1-2--28953
ER  -