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- Materials Division (MATS) Technical Session 1
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- 2023 ASEE Annual Conference & Exposition
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B. Ruşen Argun, University of Illinois at Urbana - Champaign; Andre Schleife; Cecilia Leal; Dallas R. Trinkle, University of Illinois at Urbana - Champaign; Nicola H. Perry, University of Illinois at Urbana - Champaign; Jessica Krogstad, University of Illinois at Urbana - Champaign; Matthew D. Goodman, University of Illinois at Urbana - Champaign; Antonia Statt; Marie Agathe Charpagne
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Materials Division (MATS)
research andindustrial applications in recent years. Since 2014, our team has consistently worked onreforming our Materials Science and Engineering curriculum at the University of IllinoisUrbana-Champaign by incorporating computational modules into all mandatory undergraduatecourses. Here, we investigate the impact and effectiveness of these computational modules inlight of our recent graduates’ feedback. We surveyed alumni who graduated between 2017 – 2021and asked them about the benefits of the computational curriculum and the significance ofcomputation for their career. “data analysis” was reported to be the most significantcomputational practice, followed by “programming” and “simulation tools”. Python is the mostprevalent programming language
- Conference Session
- Materials Division (MATS) Technical Session 1
- Collection
- 2023 ASEE Annual Conference & Exposition
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Nina Perry, University of Michigan; Timothy Chambers, University of Michigan
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Materials Division (MATS)
disciplinesthat are not perceived by novice learners as computational in nature. Previous research indicates thatstudents majoring in subjects that are not programming-heavy might think they will not need these skillsin their careers, or they are less capable [1]. However, both students and professionals across differentengineering disciplines commonly accept that diversifying one's skill set makes one more marketableand favorably positioned for career advancement [2][3]. Additionally, studies suggest that materialsscience and engineering (MSE) faculty favor incorporating computational tools into their teaching andthink that computation is an essential component of the curriculum [4]. However, more research isnecessary to understand how students
- Conference Session
- Materials Division (MATS) Technical Session 1
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- 2023 ASEE Annual Conference & Exposition
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Enze Chen, University of California, Berkeley; Mark Asta, University of California, Berkeley; Andrew Minor, University of California, Berkeley and Larwrence Berkeley National Laboratory
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Materials Division (MATS)
Transferable skill 7 Career skill 11 Life Easier life 5 Life Transferable skill 3 (18) Applications 3 (15) Enjoyment 1 Career skill
- Conference Session
- Materials Division (MATS) Technical Session 2
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- 2023 ASEE Annual Conference & Exposition
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Lessa Kay Grunenfelder, University of Southern California
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Materials Division (MATS)
information that may be directly applicable to my career or academic goals.While all increases in student ratings for the PBL version of the course as compared to the exam-based instructional model were found to be statistically significant, the largest increases werenoted in the questions elucidating perceived relevance of assessment to content covered in thecourse, and impacts on critical thinking and communication (bolded rows in Table 1). Graphicaldata showing each course section individually is presented in Figure 2 for visual comparison.Figure 2. Student learning experience evaluation data from exam-based sections of the course(gray) and project-based offerings (dark red
- Conference Session
- Materials Division (MATS) Technical Session 3
- Collection
- 2023 ASEE Annual Conference & Exposition
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Carlos R. Corleto, Texas A&M University; Matt Pharr, Texas A&M University; Bruce A Conway, Texas A&M University; Shadi Balawi, Texas A&M University; Bruce L. Tai, Texas A&M University
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Materials Division (MATS)
Science & Engineering. His scientific research focuses on mechanics of materials in areas including energy storage and conversion, soft ma- terials, irradiated materials, stretchable electronics, coupled electro-chemo-mechanics, and materials for neuromorphic computing. He teaches classes primarily in mechanics of materials and materials science. He has received an NSF CAREER Award, the Kaneka Junior Faculty Award, a Texas A&M Engineering Experiment Station (TEES) Young Faculty Award, the Peggy L. & Charles Brittan ’65 Outstanding Un- dergraduate Teaching Award, a Montague-Center for Teaching Excellence Scholar Award, and The Texas A&M Association of Former Students Distinguished Achievement Award in
- Conference Session
- Materials Division (MATS) Technical Session 1
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- 2023 ASEE Annual Conference & Exposition
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Barry Dupen, Purdue University Fort Wayne
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Materials Division (MATS)