DocumentCode
654554
Title
Cognitive pathways to engineering
Author
Hilpert, Jonathan C. ; Hyppolite, Jennifer
Author_Institution
Dept. of Curriculum Foundations & Reading, Georgia Southern Univ., Statesboro, GA, USA
fYear
2013
fDate
23-26 Oct. 2013
Firstpage
1197
Lastpage
1199
Abstract
We collected qualitative data to examine how engineering students´ previous experiences, present academic course work, and future goals create cognitive pathways to a career in engineering. Using future time perspective theory as our literature base, we conceptualize cognitive pathways as relationships or links between reconstructed-past, present-active, and imagined-future events that lead to a career in engineering. Our goal is to begin to develop evidence for cognitive linkages between past, present, and future that motivate students to pursue careers in engineering. To gather the data, 21 students were interviewed after they completed a timeline of their lives, consisting of their developmental experiences, present academic work, and their imagined future. We used purposive sampling to recruit participants who are strong engineering students to provide preliminary evidence for what ideal cognitive pathways might look like. The data are being collected as part of a funded “seed” project to conduct exploratory work that can ultimately lead to a well-designed larger project. Here, we present some preliminary results of our analysis, including example case study of a participant timeline. The results are primarily descriptive, and provide a glimpse into our analytic techniques and mixed method approach to the data.
Keywords
cognition; engineering education; sampling methods; academic course work; cognitive linkages; cognitive pathways; engineering career; engineering student; participant timeline; purposive sampling; student experiences; student goals; student motivation; Biological system modeling; Educational institutions; Engineering profession; Engineering students; Image reconstruction; Lenses; Shape; engineering education; future time perspective; growth modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 2013 IEEE
Conference_Location
Oklahoma City, OK
ISSN
0190-5848
Type
conf
DOI
10.1109/FIE.2013.6685019
Filename
6685019
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