TY - JOUR
T1 - Reasoning strategies in the context of engineering design with everyday materials
AU - Worsley, Marcelo
AU - Blikstein, Paulo
N1 - Publisher Copyright:
© 2017, Purdue University Press. All rights reserved.
PY - 2016
Y1 - 2016
N2 - “Making” represents an increasingly popular label for describing a form of engineering design. While making is growing in popularity, there are still open questions about the strategies that students are using in these activities. Assessing and improving learning in making/ engineering design contexts require that we have a better understanding of where students’ ideas are coming from and a better way to characterize student progress in open-ended learning environments. In this article, we use a qualitative analysis of students’ responses (N 5 13) in order to identify the origins of their ideas. Four strategies emerged from this analysis: unexplained reasoning; materials-based reasoning; example-based reasoning; and principle-based reasoning. We examine key characteristics of each strategy and how each strategy relates to learning and expertise through in-depth case studies. Furthermore, we identify how these four strategies are a complement to prior work on analogical problem solving and creativity, and offer a number of unique contributions that are particularly relevant for engineering education. Finally, we include two coding schemes that can be used to classify students’ responses. Studying reasoning strategies in this way is a fruitful means for characterizing student learning in complex learning environments. Moreover, understanding reasoning strategies impacts the nature of student–teacher discussions and informs how to help students progress most effectively.
AB - “Making” represents an increasingly popular label for describing a form of engineering design. While making is growing in popularity, there are still open questions about the strategies that students are using in these activities. Assessing and improving learning in making/ engineering design contexts require that we have a better understanding of where students’ ideas are coming from and a better way to characterize student progress in open-ended learning environments. In this article, we use a qualitative analysis of students’ responses (N 5 13) in order to identify the origins of their ideas. Four strategies emerged from this analysis: unexplained reasoning; materials-based reasoning; example-based reasoning; and principle-based reasoning. We examine key characteristics of each strategy and how each strategy relates to learning and expertise through in-depth case studies. Furthermore, we identify how these four strategies are a complement to prior work on analogical problem solving and creativity, and offer a number of unique contributions that are particularly relevant for engineering education. Finally, we include two coding schemes that can be used to classify students’ responses. Studying reasoning strategies in this way is a fruitful means for characterizing student learning in complex learning environments. Moreover, understanding reasoning strategies impacts the nature of student–teacher discussions and informs how to help students progress most effectively.
KW - Engineering design cognition
KW - Making
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U2 - 10.7771/2157-9288.1126
DO - 10.7771/2157-9288.1126
M3 - Article
AN - SCOPUS:85032455798
SN - 2157-9288
VL - 6
SP - 58
EP - 74
JO - Journal of Pre-College Engineering Education Research
JF - Journal of Pre-College Engineering Education Research
IS - 2
M1 - 4
ER -