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Incorporating the Use of a Materials Database into a Materials Science and Engineering Freshman Course

Conference Session
Computational Tools & Analysis
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Kisung Kang, University of Illinois at Urbana - Champaign; Matthew D. Goodman, University of Illinois at Urbana - Champaign; Jessica A. Krogstad, University of Illinois at Urbana - Champaign; Cecilia Leal, University of Illinois at Urbana - Champaign; Pinshane Y. Huang, University of Illinois at Urbana-Champaign; Andre Schleife, University of Illinois at Urbana - Champaign
Tagged Divisions
Materials
integrating computation into undergraduate curriculum: New modules and long-term trends. In 2020 ASEE Virtual Annual Conference Content Access, number 10.18260/1-2–34754. ASEE Conferences, June 2020. https://peer.asee.org/34754.[15] Alexander Stukowski. Visualization and analysis of atomistic simulation data with OVITO–the open visualization tool. Modelling and Simulation in Materials Science and Engineering, 18(1):015012, dec 2009. doi: 10.1088/0965-0393/18/1/015012. URL https://doi.org/10.1088/0965-0393/18/1/015012.Supplementary materialsAll survey questionnaires are listed in Sec. .Figure S1: Statistics of students’ answers on questions 1 to 5 from MSE 182 course. The numberof total responses in 2019 and 2020 is 82 and 47
Relevance Score: 0.035791397

Material Property Variation in an Additive Manufacturing Lab

Conference Session
Computational Tools & Analysis
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Charles Pringle PE P.E., Central Washington University; Craig Johnson P.E., Central Washington University; Jeunghwan Choi, Central Washington University
Tagged Divisions
Materials
Paper ID #33150Material Property Variation in an Additive Manufacturing LabProf. Charles Pringle PE P.E., Central Washington University Charles Pringle is a professor in the Mechanical Engineering Technology program at Central Washington University. Charles teaches upper division courses including the senior capstone course.Dr. Craig Johnson P.E., Central Washington University Dr. Johnson is retired with Emeritus status and continues to assist the MET program (Mechanical Engi- neering Technology Program at Central Washington University - www.cwu.edu/engineering ). He was the ASEE Campus Representative, Mat’ls Div Chair, PNW
Relevance Score: 0.034547843

A Multi-level Diffusion Unit: Connecting Submicro- and Macro-levels with Computational, Graphical, and Mathematical Representations

Conference Session
Computational Tools & Analysis
Collection
2021 ASEE Virtual Annual Conference Content Access
Authors
Jacob Z. Kelter, Northwestern University; Jonathan Daniel Emery, Northwestern University; Uri Wilensky, Northwestern University
Tagged Divisions
Materials
. 28, no. 8, pp. 649– 660, 1991, doi: 10.1002/tea.3660280803.[4] M. T. H. Chi, R. D. Roscoe, J. D. Slotta, M. Roy, and C. C. Chase, “Misconceived Causal Explanations for Emergent Processes,” Cognitive Science, vol. 36, no. 1, pp. 1–61, 2012, doi: 10.1111/j.1551-6709.2011.01207.x.[5] J. Z. Kelter, J. D. Emery, and U. Wilensky, “Learning About Diffusion at Two Levels: Micro-scale-computational to macro-scale-analytical,” presented at the 2020 ASEE Virtual Annual Conference, 2020.[6] U. Wilensky and M. Resnick, “Thinking in Levels: A Dynamic Systems Approach to Making Sense of the World,” Journal of Science Education and Technology, vol. 8, no. 1, pp. 3–19, Mar. 1999, doi: 10.1023/A:1009421303064.[7] S. T. Levy and U
Relevance Score: 0.016475983