Ozturk, E., & Yalvac, B., & Johnson, M., & Peng, X., & Liu, K. (2015, June), Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students  Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.23494

\bibitem{asee_peer_23494}
  Ozturk, E., \& Yalvac, B., \& Johnson, M., \& Peng, X., \& Liu, K. (2015, June), \emph{Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students}
  Paper presented at 2015 ASEE Annual Conference \& Exposition, Seattle, Washington.
  10.18260/p.23494

Elif Ozturk, Bugrahan Yalvac, Michael Johnson, Xiaobo Peng, and Ke Liu.  "Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students".  2015 ASEE Annual Conference & Exposition, Seattle, Washington, 2015, June.  ASEE Conferences, 2015.  https://strategy.asee.org/23494 Internet.  13 May, 2024

\bibitem{asee_peer_23494}
  Elif Ozturk, Bugrahan Yalvac, Michael Johnson, Xiaobo Peng, and Ke Liu.
  "Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students".
  \emph{2015 ASEE Annual Conference \& Exposition, Seattle, Washington, 2015, June}.
  ASEE Conferences, 2015.
  https://strategy.asee.org/23494 Internet.  13 May, 2024

@INPROCEEDINGS{asee_peer_23494
author = "Elif Ozturk, Bugrahan Yalvac, Michael Johnson, Xiaobo Peng, and Ke Liu"
title = "Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students"
booktitle = "2015 ASEE Annual Conference \& Exposition"
year = "2015"
month = "June"
address = "Seattle, Washington"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/23494}
number = {10.18260/p.23494}
}

TY  - CPAPER
AB  -     Adaptive  Expertise  and  its  Manifestation  in  CAD  Modeling:  A               Comparison  of  Practitioners  and  Students  The state of computer-aided design (CAD) education has long been decried for focusingtoo much on the low-level skills required to do specific tasks; this often comes at theexpense of promoting the strategic knowledge associated with expertise. Theenvironment that today’s students will encounter in the workplace will require them toadapt to new challenges in innovative ways. Namely, they will need to become adaptiveexperts. To better inform CAD education, this work examines how practicing engineersadapt to a new environment and compares this behavior to that of students.To establish the “baseline” adaptive expertise among the sample population, an adaptiveexpertise survey (AES) instrument was administered to both the practicing engineers andthe students. The practicing engineers in this work are asked to model a component in aCAD program that they are not familiar with. The students are asked to model either astylized component or an artifact that they have brought from home and to which theyhave some attachment. In both cases, pre and post interviews inquire how the participantsapproach their tasks and overcome any challenges.Recordings of the interviews are transcribed and analyzed using open and axial coding.Selective coding is used to align responses with the dimensions of adaptive expertise.This coding provides the manifestation of adaptive expertise in the exercise. Statisticalanalyses are used to compare participant interview responses to their AES scores.Practitioner and student manifestations of adaptive expertise are compared.Manifestations of adaptive expertise are also compared to demographic data.
AU  - Elif Ozturk
AU  - Bugrahan Yalvac
AU  - Michael Johnson
AU  - Xiaobo Peng
AU  - Ke Liu
CY  - Seattle, Washington
DA  - 2015/06/14
PB  - ASEE Conferences
TI  - Adaptive Expertise and its Manifestation in CAD Modeling: A Comparison of Practitioners and Students
UR  - https://strategy.asee.org/23494
DO  - 10.18260/p.23494
ER  -