Paper ID #48306Teaching Mechanical Properties of Materials through CrochetDr. Sarah A Goodman, Georgia Institute of Technology Sarah A. Goodman is a Lecturer in the School of Materials Science and Engineering (MSE) at Georgia Tech. Prior to joining Georgia Tech, she taught MSE at Stevens Institute of Technology for 2.5 years. Her teaching and research interests include the use of active learning in graduate courses, applying the funds of knowledge framework to teaching materials science, and helping students develop a sense of community and belonging in the field of engineering. Prof. Goodman has experience teaching 4th
Paper ID #46421”Let’s Find Out”Dr. Irina Molodetsky, New Jersey Institute of Technology Irina Molodetsky, PhD, joined Otto H.York Department of Chemical and Materials Engineering in the summer of 2017 as a Senior University Lecturer, New Jersey Institute of Technology NJIT). She received her BS, MS in Physics from Odessa State University, Ukraine and PhD from Princeton University. She was a Materials Scientist at Princeton Technology Center, Schlumberger. Irina has experience in R&E, as well as manufacturing technologies for nuclear tools developed for oil and gas exploration. As a Principal Materials Scientist
Paper ID #47867BOARD # 173: Teaching elasticity through jigsaw classrooms: Impact onstudents’ experiential learningDavid Olubiyi Obada, Africa Centre of Excellence on New Pedagogies in Engineering Education (ACENPEE),Ahmadu Bello University, Zaria, Nigeria David O. Obada holds a Ph.D. degree in mechanical engineering from the Ahmadu Bello University, Zaria, Nigeria, specializing in production/industrial engineering. His research interests include fracture mechanics, advanced materials, and condensed matter physics. Before joining the Atlantic Technological University, Ireland, David was a research fellow at the University
, pp. 103-120, Jan 2005, doi: 10.1002/j.2168-9830.2005.tb00832.x.[4] C. B. Zoltowski, W. C. Oakes, and M. E. Cardella, "Students' Ways of Experiencing Human-Centered Design," J. Eng. Educ., vol. 101, no. 1, pp. 28-59, 2012, doi: https://doi.org/10.1002/j.2168-9830.2012.tb00040.x.[5] I. Mohedas, S. R. Daly, R. P. Loweth, and K. H. Sienko, "Changes to stakeholder engagement approaches throughout a capstone engineering design course," International Journal of Technology and Design Education, 2023/07/29 2023, doi: 10.1007/s10798- 023-09833-x.[6] E. A. Sanders, M. H. Goldstein, and J. L. Hess, "Course experiences that promote and inhibit human-centered design," International Journal of Technology
to computational speeds have made it more powerful [1, 2].Machine learning (ML) generally refers to algorithms (e.g., linear regression, non-linearregression, random forest) that turn input data into output data, and in doing so, achieve AIgoals. ML algorithms typically require tens to hundreds of data points. Deep learning can beconsidered a part of ML, and both fit in the broader term of AI. Deep learning algorithms(e.g., neural networks) typically work on thousands of data points and are, as such, used in‘big data’ engineering applications.AI-powered technologies are becoming more prevalent in daily life and the workforce,making it crucial to understand and adapt to using new large language model (LLM) tools,such as Chat Generative Pre
. Simul. Mater. Sci. Eng., vol. 13, no. 2, p. R53, 2005, doi: 10.1088/0965-0393/13/2/R01.[7] K. Thornton, S. Nola, R. Edwin Garcia, M. Asta, and G. B. Olson, “Computational materials science and engineering education: A survey of trends and needs,” JOM, vol. 61, no. 10, p. 12, Oct. 2009, doi: 10.1007/s11837-009-0142-3.[8] National Science and Technology Council, “Materials Genome Initiative Strategic Plan,” 2021. [Online]. Available: https://www.mgi.gov/sites/default/files/documents/MGI-2021- Strategic-Plan.pdf[9] K. Ohno, K. Esfarjani, and Y. Kawazoe, Computational Materials Science: From Ab Initio to Monte Carlo Methods, 1999th edition. Berlin ; New York: Springer, 2000.[10] A. D. Rollett and P. Manohar, “The Monte Carlo
interact with the phenomenon of the technology gap to producemarginalization in the highly technology-dependent discipline of engineering education.Therefore, there is a need for an evaluation of how extensive the impact of marginalization onapplications of constructive alignment has been, and subsequently the development of anupdated model of constructive alignment that addresses issues of marginalization.1. IntroductionConstructive alignment is the pedagogical concept that students learn better when the learningoutcomes, learning activities, and assessments in an educational offering are designed holisticallyto support one another and allow students to demonstrate their understanding as directly aspossible [1]. Introduced by Biggs in 1996 [1], a
Qamar, Texas A&M University Sayyad Basim Qamar is a PhD student at the Materials Science & Engineering department at Texas A&M University. He holds a Master’s degree in Mechanical Engineering from Masdar Institute of Science & Technology and a Bachelor’s degree in MechanDr. Saira Anwar, Texas A&M University Saira Anwar is an Assistant Professor at the Department of Multidisciplinary Engineering, Texas A and M University, College Station. She received her Ph.D. in Engineering Education from the School of Engineering Education, Purdue University, USA. The Department of Energy, National Science Foundation, and industry sponsors fund her research. Her research potential and the implication of her work
download the information and implement the game intheir classrooms.1. IntroductionMaterials play a pivotal role in advancing the technologies that shape modern society, both fromunderstanding the connection between a material’s structure, properties, processing, andperformance in the field of materials science and selecting the correct materials for a particulardesign. Despite their significance, materials science as a field is often introduced later inengineering education – generally in the second year of university studies, following first-yeargeneral engineering courses. At that point, students have already established their academic focusand are less likely to appreciate how the study of materials science can play a role in their
on scaling this model to other courses within the engineering curriculumand investigating long-term impacts on student retention and career pathways. By continuing toinnovate with AI tools, computational modeling, and project-based frameworks, this pedagogicalapproach has the potential to redefine engineering education and empower students to excel in anincreasingly complex and technology-driven world.References 1. Prince, M. J., & Felder, R. M., "Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases," Journal of Engineering Education, vol. 95, no. 2, pp. 123-138, 2006. 2. Mills, J. E., & Treagust, D. F., "Engineering Education—Is Problem-Based or Project- Based Learning the
Paper ID #46361Integrating Sustainability Issues into a Materials Science Course using UniversalDesign for Learning PrinciplesDr. Angela R Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director for the Engineering Education PhD Program. Her engineering education research focuses on topics including social responsibility, ethics, sustainability, and community engagement. She is a Fellow of the American Society for Engineering Education (ASEE) and a licensed P.E. in Colorado
understanding and thought.3. Writing is difficult. It challenges us to think for ourselves, with our classmates, and for otherpeople we may not know or even like. Requiring students to engage in productively challengingassignments will optimize their learning and growth.4. Writing is vulnerable. Some have characterized writing as a technology of the self [6]. It is away of sharing you with the world, and that if valuable but can also can feel intimidating orscary.5. Writing is ambiguous. There is no one correct way to write a document. This fact mirrors real-life problems, and is particularly relevant in professional engineering where the path forward isoften murky and does not lead to unique correct solutions. In sum, the value of writing
Technology • The Lifecycle Concept within Industrial Production • Circular Economy and Course Wrap-UpThe results from six completed online courses with, in total around 120 participants, and four in-person events with, in total, more than 60 participants are reported. Both modes of teaching showgreat progress in terms of the self-assessed prior and final knowledge levels in (i) SustainableDevelopment (socially, economically, ecologically); (ii) Environmental Issues (pollution,climate, energy); and a moderate increase even in (iii) Industrial Production knowledge(engineering, economics, logistics). Since the company in question is active in industrialproduction, the participants were expected to be quite knowledgeable in this area already
Paper ID #46501Increasing In-Class Participation in Materials Science Education throughAnonymized DiscussionsJonathan R. Brown, The Ohio State University Jonathan Brown (B.S., M.S. Mathematics, New Mexico Institute of Mining and Technology; Ph.D. Materials Engineering, New Mexico Institute of Mining and Technology) is an Assistant Professor of Practice in the Department of Materials Science and Engineering at The Ohio State University. His background is in computer simulations and theory of polymer glasses and block copolymers for energy applications. He teaches introduction to materials science and engineering and
Paper ID #45780Materials Science Rocks! Using Geology Specimens to Teach Microstructuresand Error AnalysisDr. Susan P. Gentry, University of California, Davis Dr. Susan P. Gentry is an Associate Professor of Teaching Materials Science and Engineering at the University of California, Davis. She is interested in developing and implementing pedagogically-based teaching modules in the undergraduate and graduate curriculum. She is also interested in engineering student mental health and wellness.Erika La Plante, University of California, Davis ©American Society for Engineering Education, 2025