DocumentCode :
1924135
Title :
Scaling up: Taking the Academic Pathways of People Learning Engineering Survey (APPLES) national
Author :
Donaldson, Krista M. ; Chen, Helen L. ; Toye, George ; Clark, Mia ; Sheppard, Sheri D.
Author_Institution :
Stanford Univ., Stanford, CA
fYear :
2008
fDate :
22-25 Oct. 2008
Abstract :
The Academic Pathways of People Learning Engineering Survey (APPLES) was deployed for a second time in Spring 2008 to undergraduate engineering students at 21 American universities. The goal of APPLES was to corroborate and extend findings from the academic pathways study and the first deployment of APPLES (Spring 2007) on factors that correlate with persistence in engineering on a national scale. This set of deployments, which surveyed over 4,500 students, was among the largest and broadest cross-sectional surveys focusing on undergraduate engineering ever undertaken. Because there was no readily-available list of undergraduate students attending American institutions studying and intending to study engineering, we sampled by institution using institutional characteristics such as Carnegie 2000 classification. In seeking participation by a broad range of institutions, we recognized the need to vary the target student strata for recruitment by institution. In this process paper, we present an overview of our institutional sampling, discuss our student sampling and recruitment, and report response results. We extend our lessons learned from deploying the online survey at four institutions to 21 institutions, including coordination with local campus coordinators, IRB requirements, subject recruitment and deployment to build on the model for conducting survey design and research for engineering education researchers.
Keywords :
engineering education; socio-economic effects; academic pathways study; engineering education researchers; online survey; people learning engineering survey; undergraduate engineering students; Data engineering; Engineering education; Engineering students; Instruments; Maintenance engineering; Recruitment; Sampling methods; Springs; Target recognition; Transaction databases; Cross-sectional study; Engineering persistence; Recruitment; Survey methodology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Education Conference, 2008. FIE 2008. 38th Annual
Conference_Location :
Saratoga Springs, NY
ISSN :
0190-5848
Print_ISBN :
978-1-4244-1969-2
Electronic_ISBN :
0190-5848
Type :
conf
DOI :
10.1109/FIE.2008.4720596
Filename :
4720596
Link To Document :
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