Conference Session

Hybrid and Online Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Susan P. Gentry, University of California, Davis; Gianmarco Sahragard-Monfared, University of California, Davis; Edward Thomas Conley, University of California, Davis

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content and reflections from the instructor, TAs, and students.1. IntroductionThe COVID-19 pandemic disrupted higher education worldwide in March 2020. Colleges anduniversities abruptly stopped in-person instruction and instead required remote teaching.Instructors’ challenges included preparing virtual lessons, learning videoconferencing software,and selecting appropriate graded assessments. At the same time, students’ learning routines weredisrupted as many returned home and were away from their peers; some students also lost thesafety net that the university provided, such as reliable food and shelter [1]. Furthermore, bothstudents and faculty were affected by limited internet connectivity and additional familyresponsibilities due to the

Conference Session

Hybrid and Online Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tiffany A Mathews, Penn State University; Kirstin Purdy Drew, Pennsylvania State University; Kristin Ann Dreyer, Center for Nanoscale Science (an NSF funded MRSEC)

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Diversity

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communication) to the audience that their project was targeting, and 3)reflecting upon their experience.Students had a month to work on their outreach project individually or in small groups afterselecting an option and submitting an initial rationale and plan, which was supported throughscheduled program check-in time. During these scheduled times, students working on similarprojects (or student teams) shared ideas in Zoom breakout rooms, discussed, planned, anddefined tasks to move their project forward. At the end of the summer, individuals and teamspresented brief overviews of their project, shared plans for implementation, and submitted awritten reflection on its impact on their personal growth.When we asked the students to articulate the

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

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pounds is eight out of ten. The class averagecontinues to be lower than eight per Figure 2. This indicates the levers were not failing above 30pounds and they were also heavier than necessary. If the students were achieving the specifiedtolerance, the success scores would be nine or higher.ABET Outcome 3a was met but not improved. The student outcome is improved because thescores went up per the assessment. However, the T-test reveals the scores were not significantlydifferent. In fact, there is a 95% chance they were the same.The difference between Lab 6a and 6b labs was not obvious. It was unclear if this was due tolack of understanding in applying FEA or if their assumed failure mode was not reflected in theirchosen orientation properties

Conference Session

Advances in Materials Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Anuja Kamat, Wentworth Institute of Technology; Hadi Kazemiroodsari, Wentworth Institute of Technology

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Total =Reflections This was an elective course which did not have a set curriculum yet and was run as atrial. We got to experiment a little with the course presentation. The authors were trying tobase this module on the Montessori method of education. The Montessori method is based onthe principle of auto education. When a proper prepared environment is built, the eager mindteaches itself. The learning happens through play, and the result is that the child learns in away that cannot be forgotten at the end of the semester. This method was developed by Dr.Maria Montessori to teach preschool age children and is a popular method of education inyounger children. Recently there has been some use of this method in EngineeringEducation[2

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

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addition to helping students understand systems from an emergent perspective, computationalatomistic approaches also expose students to computational materials science techniques. Thereis a widespread consensus among academics, national labs and industry that computation willplay an increasingly important role in MatSE and that both undergraduate and graduateeducation should reflect that [13]–[15]. There are multiple ways to integrate computation intoMatSE education. One approach taken by several departments is for students to solve problemsusing computational tools designed for research and industry [16]–[21]. The advantage of thisapproach is that students learn to use tools they are likely to encounter in professional settings. Asecond approach

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

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under protocol number 14094. This work was supported by theCollege of Engineering and the Department of Materials Science and Engineering at theUniversity of Illinois at Urbana-Champaign as part of the Strategic Instructional InitiativesProgram (SIIP), and by National Science Foundation (NSF) CAREER Awards (Grant Nos.DMR-1654182, DMR-1554435, DMR-1846206, and DMR-1555153). This material is also basedupon work supported by the National Science Foundation Graduate Research Fellowship underGrant No. 1746047. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References [1] G Bergerhoff, ID Brown, F Allen, et al