TY - JOUR
T1 - Impact of computational curricular reform on non-participating undergraduate courses
T2 - 126th ASEE Annual Conference and Exposition: Charged Up for the Next 125 Years, ASEE 2019
AU - Lee, Cheng Wei
AU - Schleife, Andre
AU - Trinkle, Dallas R.
AU - Krogstad, Jessica A.
AU - Maass, Robert
AU - Bellon, Pascal
AU - Shang, Jian Ku
AU - Leal, Cecilia
AU - West, Matthew
AU - Bretl, Timothy
AU - Herman, Geoffrey L.
AU - Tang, Shengchang
N1 - Funding Information:
consultant for metals at McKinsey & Co., he transferred to the University of Göttingen as a junior research group leader. He joined the faculty of the University of Illinois at Urbana-Champaign as Assistant Professor of Materials Science and Engineering in 2015. His work has been recognized by the NSF Career award, the Young Leaders Award from The Minerals, Metals, and Materials Society, the Emmy Noether award by the German Research Foundation, and the Young Talent Award and the Masing Memorial Medal from the German Materials Society. He is a member of the international Alexander von Humboldt network.
Funding Information:
This work was supported by the College of Engineering and the Department of Materials Science and Engineering at the University of Illinois at Urbana-Champaign as part of the Strategic Instructional Initiatives Program (SIIP), by a National Science Foundation CAREER Award to J.A.K. (Grant No. 1654182), by a NSF CAREER Award to R.M. (Grant No. 1654065), by a NSF CAREER Award to C.L. (Grant No. DMR-1554435), by a NSF CAREER Award to A.S. (Grant No. DMR-1555153), and by a NSF Grant to P.B. (Grant No. DMR-1709857). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
PY - 2019/6/15
Y1 - 2019/6/15
N2 - A computational approach has become an indispensable tool in materials science research and related industry. At the University of Illinois, Urbana-Champaign, our team at the Department of Materials Science and Engineering (MSE), as part of a Strategic Instructional Initiatives Program (SIIP), has integrated computation into multiple MSE undergraduate courses over the last years. This has established a stable environment for computational education in MSE undergraduate courses through the duration of the program. To date, all MSE students are expected to have multiple experiences of solving practical problems using computational modules before graduation. In addition, computer-based techniques have been integrated into course instruction through iClicker, lecture recording, and online homework and testing. In this paper, we seek to identify the impact of these changes beyond courses participating in the original SIIP project. We continue to keep track of students' perception of the computational curriculum within participating courses. Furthermore, we investigate the influence of the computational exposure on students' perspective in research and during job search. Finally, we collect and analyze feedback from department faculty regarding their experience with teaching techniques involving computation.
AB - A computational approach has become an indispensable tool in materials science research and related industry. At the University of Illinois, Urbana-Champaign, our team at the Department of Materials Science and Engineering (MSE), as part of a Strategic Instructional Initiatives Program (SIIP), has integrated computation into multiple MSE undergraduate courses over the last years. This has established a stable environment for computational education in MSE undergraduate courses through the duration of the program. To date, all MSE students are expected to have multiple experiences of solving practical problems using computational modules before graduation. In addition, computer-based techniques have been integrated into course instruction through iClicker, lecture recording, and online homework and testing. In this paper, we seek to identify the impact of these changes beyond courses participating in the original SIIP project. We continue to keep track of students' perception of the computational curriculum within participating courses. Furthermore, we investigate the influence of the computational exposure on students' perspective in research and during job search. Finally, we collect and analyze feedback from department faculty regarding their experience with teaching techniques involving computation.
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U2 - 10.18260/1-2--32926
DO - 10.18260/1-2--32926
M3 - Conference article
AN - SCOPUS:85078802095
SN - 2153-5965
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
Y2 - 15 June 2019 through 19 June 2019
ER -