Indianapolis, Indiana
June 15, 2014
June 15, 2014
June 18, 2014
2153-5965
Division Experimentation & Lab-Oriented Studies
NSF Grantees Poster Session
13
24.155.1 - 24.155.13
10.18260/1-2--20046
https://peer.asee.org/20046
523
Associate Professor, Department of Mechanical Engineering, Prairie View A&M University
Bugrahan Yalvac is an associate professor of science and engineering education in the Department of Teaching, Learning, and Culture at Texas A&M University, College Station. He received his Ph.D. in science education at the Pennsylvania State University in 2005. Prior to his current position, he worked as a learning scientist for the VaNTH Engineering Research Center at Northwestern University for three years. Yalvac’s research is in STEM education, 21st century skills, and design and evaluation of learning environments informed by the How People Learn framework.
Ke Liu, is a graduate student and Graduate Research Assistant in the Department of Mechanical Engineering at Prairie View A&M University. She received her BS in Donghua University, China. Her research interests include CAD, Virtual Reality Technology and CFD.
An Examination of the Effects of Contextual Computer-aided Design Exercises on Student Modeling PerformanceMany in the academe and industry have long found computer-aided design (CAD) educationlacking. These critics have decried the lack of strategic skills and the focus on declarativeknowledge associated with specific CAD packages. This work will discuss the most recentfindings of a three year iterative investigation examining the role of contextual exercises on CADmodeling procedure and the manifestation of adaptive expertise. The effects of a varying numberof contextual exercises incorporated in regular instruction throughout a semester will beexamined. Contextual exercises consist of students modeling a component that they have apersonal connection to, as opposed to a stylized example from the textbook. Modelingperformance on a standard assessment will be compared for the various groups as willperformance on an end of the semester exercise.This work will compare the results of student performance on the standard assessment based onwhether students received no, one, or four contextual exercises prior to the assessment. Studentperformance on an end of the semester exercise that is either stylized or contextual in nature willalso be examined. Student interviews and coding will be used to examine the manifestation ofadaptive expertise among those various groups. Statistical analyses will be used to evaluate anydifferences among the groups, and results will be placed in the context of the wider project. Twocampuses in Southern US collaborate in the wider project that is funded by the National ScienceFoundation.
Johnson, M., & Peng, X., & Yalvac, B., & Ozturk, E., & Liu, K. (2014, June), An Examination of the Effects of Contextual Computer-Aided Design Exercises on Student Modeling Performance Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20046
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