Conference Session

Materials Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Bre Przestrzelski, University of San Diego; Elizabeth A. Reddy, University of San Diego; Susan M. Lord, University of San Diego

Tagged Divisions

Materials

. This module was successfully implemented in Fall 2017 with 31students from General, Electrical, and Mechanical Engineering. Students brought in their ownweeks’ worth of trash. The first portion of class time focused on materials categorization andclassification, engineering concepts they had been previously introduced to in class. A classdebrief challenged students to think about topics related to recycling in general and their largersocial responsibility in material choice as future engineers. In a subsequent reflection, studentsprovided feedback, suggestions for improvement and articulated their meaningful takeawaysfrom the module. Analysis of student responses shows that learning objectives were achieved.Lessons learned suggest improvements

Conference Session

Materials Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan P. Gentry, University of California, Davis; Tanya Faltens, Purdue University, West Lafayette (Network for Computational Nanotechnology); William Ashwin Wheeler, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois at Urbana-Champaign

Tagged Divisions

Materials

to more clearly emphasize the characteristics of a correct response, and have increasedthe scaffolding to guide students. Additionally, the revised activity is more focused than theoriginal, allowing students to spend more time on the reflection portion of the activity. Studentperformance is measured and compared in two courses at different institutions. Studentresponses on a concept inventory at the beginning and end of the term are also compared toinvestigate the development and persistence of their learning gains.1. IntroductionUnderstanding the three-dimensional relationships in crystal structures is an important skill formaterials science and engineering students. However, students struggle to visualize many of theatomic relationships

Conference Session

Materials Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert A Heard, Carnegie Mellon University; Christiaan Job Nieman, Universidad de los Andes

Tagged Divisions

Materials

practice, asks questions, reflects on own practice in relation to expert practice 5. Fading: The instructor gradually decreases coaching and scaffolding, allowing students greater independence. The student operates with increasing independence in more and more complex situations (less structure, more choices/complications, etc.) 6. Self-Directed Learning: The instructor assists only when requested. The student practices the real thing alone or in groups 7. Generalizing: The instructor guides students from their own process to larger insights and useful generalizations. The student generalizes from own practice to larger principles, concepts, or interpretations [9]Tasks 1 and 2 above can be accomplished in a

Conference Session

Materials Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Megan Frary, Boise State University

Tagged Divisions

Materials

ateither end. In addition to other outcomes, the mindset that a person has determines how theyinterpret mistakes they make; while someone with a fixed mindset thinks mistakes are failuresand result from their innate lack of ability, someone with a growth mindset views mistakes asopportunities to reflect and learn more.The two different mindsets grew out of the earlier work of Dweck et al. who considered howchildren deal with failure [2, 3]. They found that students who placed more emphasis on the roleof effort were more likely to persist during challenging tasks. As a result, Dweck and Legett [4]went on to describe two different forms of self-concept, one following an entity theory and thesecond following an incremental theory; these would later

Conference Session

Materials Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Cavalli, Western Michigan University

Tagged Topics

Diversity

Tagged Divisions

Materials

group has an especially high confidencein their understanding of class topics.Table 14 shows a breakdown of final grades in the course. The highest concentration of gradesfor distance students was at the ‘C’ grade, with over 10% of distance students in the D/F/Wcategory. In contrast, no on-campus students finished in the D/F/W range and over 80% finishedin the ‘A’ or ‘B’ ranges. With the exception of the semester project, the average grade forcampus students was higher in each of the grading categories than for distance students(homework, exams, final exam). The difference was smallest on the final exam (72.9% vs.72.5%) and largest in the homework category (108.1% vs. 91.4%). The greater than 100%average on homework for campus students reflects

Conference Session

Materials Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST)

Tagged Divisions

Materials

3 during the periods. Them-POGIL laboratory practices require the students to work for meaningful learning activities bythe guided inquiry and thus, students think about what they are doing in the activity assigned.These positive attitudes for active learning environment reflected the effectiveness of learning invarious lab activities. The m-POGIL method expects students to use knowledge to solve any kindof problem. The average of learning outcomes increased from 67.0% to 92.9% during theperiods. The study reported an increased level in all areas surveyed and provided strongconfidence to use a proper skill level in practices with growth.In the results of the assessment and evaluation, the study found that the process cycle proposedin Figure

Conference Session

Materials Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Xiao Zhang, University of Illinois, Urbana-Champaign; Andre Schleife, University of Illinois, Urbana-Champaign; Andrew Ferguson, University of Illinois, Urbana-Champaign; Pascal Bellon, University of Illinois, Urbana-Champaign; Timothy Bretl, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Jessica A. Krogstad, University of Illinois, Urbana-Champaign; Robert Maass, University of Illinois, Urbana-Champaign; Cecilia Leal, University of Illinois, Urbana-Champaign; Dallas R. Trinkle , University of Illinois, Urbana-Champaign; Jian Ku Shang, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Materials

and atti-tude. While this reflects the trend reasonably well, it is largely subjective. In the future, moreobjective data, such as information about the grades of the exams/homeworks in both the SIIPclasses and computational focused classes should be included to support the survey data.7 ConclusionIn this paper, we evaluate the efficacy of the implementation of computational modules into theMatSE curriculum through critical assessment of student feedback. The feedback illuminates in-creased student awareness of the importance of computational skills in materials science as theyadvance through the undergraduate program. It also suggests a demand for increased computa-tional content and the delivery of this content earlier in the

Conference Session

Materials Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Bartlett Michael Sheinberg, Houston Community Collelge; Amanda Smith Hackler, STEM Evaluations and Educational Consulting Services, LLC

Tagged Topics

Diversity

Tagged Divisions

Materials

Remarks d. Forward Work and Evaluator Conclusions 4. Conclusion 5. References 6. Appendix 1 Listing of Student Research Abstracts 7. Appendix 2 Program Evaluation Survey InstrumentsThe West Houston Science and Engineering Center The West Houston Center for Science & Engineering (WHC) is part of the HoustonCommunity College District (HCC), a designated Hispanic Serving Institution (HSI), with anannual enrolment of 114,000, across a 630 square mile district service area [1]. For fall 2016,58% of the students were female, and the racial and ethnic demographics reflected 15% Asian,30% Black, 37% Hispanic and 14% White. In general, about 10% of the semester credit hourstudent population is