classrooms and reaching engineeringprofessionals. While virtual and remote laboratories are not new to engineering education, thereis an increasing need for these alternate methods of teaching due to decreased availability of labtime (from increased undergraduate classes) and the rise of remote higher education programs,such as remote graduate degrees and continuing education [4], [5].In this study, we perform a scoping literature review to explore the tools and labs available toPSET educators. Specifically, we focus on virtual and remote tools that might aid in theeducation of continuing education students and programs with rigid curriculums that do notallow for additional lab time. We were guided by the two following research questions
research fellow at the same institution. During this time, he combined research in computational material sciences with teaching duties in undergraduate laboratories. He then served as an assistant lecturer at the Dundalk Institute of Technology in Dundalk, Ireland, before joining the Institute of Technology Sligo (now ATU Sligo). Akinlolu is a Senior Fellow of the Higher Education Academy (SFHEA), a recognition of his expertise in teaching and learning in higher education. ©American Society for Engineering Education, 2024 Teaching basic concepts in machine learning to engineering students: A hands-on approachDavid O. Obada1,2,10,11*, Simeon A. Abolade2, Shittu B
real-world problems, underlying theories, and hands-on laboratory work. Consequently, it enhances overall learning outcomes and advancesengineering skills. The outcomes of this study, coupled with positive student feedback, suggestthat combining traditional stand-alone labs into project-based laboratories could represent amore effective, efficient, and sustainable pedagogical approach for engineering laboratorycourses. This study not only provides valuable insights but also proposes a pedagogical designthat can guide future improvements in laboratory teaching. By introducing students to the open-ended lab experience at the junior level, this approach facilitates a seamless transition to moreadvanced project-based laboratories in senior courses
Paper ID #44272Integrating Computational and Physical Lab Modules in Materials Scienceand EngineeringJonathan 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 computational
, Singapore for a short postdoctoral stint. In 2011, she joined Ngee Ann Polytechnic, Singapore as a lecturer, following her strong passion for teaching and higher education. Finally, in 2016, she re-joined MSE, NTU as a faculty member on a teaching track. She served as the Assistant Chair (Academic) in MSE, NTU from 2019 to 2022. In 2022, she was appointed the Director for Pedagogy and Learning at MSE, NTU.LAY POH TAN ©American Society for Engineering Education, 2024 Stakeholders analysis for future Materials Engineering education – from good to greatAbstractIn the twenty-first century, meeting technological demands requires educational excellencethat is ready for the
professionals. This article examines the guest presentationsdelivered by materials manufacturers in two undergraduate lab courses within the field ofMaterials Science and Engineering (MSE). Additionally, it presents findings from a survey studyconducted to evaluate the impact of the guest lecture initiative, involving an average class size of55 undergraduate students in each of the two courses.In Fall and Spring of 2022 and 2023, industry presentations were integrated into MSE 3021 andMSE 4022 materials properties and processing laboratory courses to enhancethe students' understanding of real-world applications and industry practices. Presenters wereinvited from diverse sectors of industry, including metal, ceramic and polymer processing(Applied
-Champaign I am currently the Associate Director of Assessment and Research team at the Siebel Center for Design (SCD) at the University of Illinois at Urbana-Champaign. I work with a group of wonderful and talented people at SCD’s Assessment and Research Laboratory to conduct research that informs and evaluates our practice of teaching and learning human-centered design in formal and informal learning environments. My Research focuses on studying students’ collaborative problem solving processes and the role of the teacher in facilitating these processes in STEM classrooms.Nicholas Robert PozzaDr. Blake Everett Johnson, University of Illinois Urbana-Champaign Dr. Blake Everett Johnson is a Teaching Assistant Professor
edge in these fields but also for adapting to the evolvingneeds and interests of a new generation of students. Hence, there is a growing recognition of theneed for more engaging teaching strategies and learning environments to inspire and engage abroader range of students in engineering disciplines. Innovative learning technologies, such asdigital game-based learning environments, are integral to addressing this need by inspiring interestthrough intellectual engagement among the young generation of students. Moreover, engineeringundergraduate students must graduate from their programs with technical knowledge, criticalthinking, and problem-solving skills to succeed in today’s rapidly advancing and highlycompetitive STEM fields. Traditional
Paper ID #42801Campus Re-engineered: Tackling problems close to home to promote interestin the field of Materials Science and Engineering for non-majorsDr. Sarah A Goodman, Stevens Institute of Technology Sarah A. Goodman is a Teaching Assistant Professor in the Department of Chemical Engineering and Materials Science at Stevens Institute of Technology. Her research interests include the use of active learning in graduate courses, the use of virtual reality to teach crystal structure, and helping students develop a sense of community and belonging in the field of engineering. Prof. Goodman has experience teaching 4th, 11th
graduation, she spent five years as a Principal Scientist at Knolls Atomic Power Laboratory in Schenectady, NY researching welding and the thermal stability of structural alloys. In 2013, she joined the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University and was recently promoted to Full Professor. Dr. Tucker served as the Materials Science Interdisciplinary Graduate Program Director for five years and recently became the Director for the Design for Social Impact Program. Her research focuses on degradation of materials in extreme environments using both modeling and experimental approaches to gain fundamental understanding of materials performance.Dr. Milo Koretsky, Tufts University
describe the structureof the course as a whole, provide detailed descriptions of two units in the course to illustrate howcomputational models can be used to teach core MSE concepts, and discuss how this approachdiffers from the traditional approach.1 Background: computation in MSE, ABM in education, and learning theories1.1 Computation in MSEComputational materials science and engineering (MSE) dates to at least the 1980s, and in thepast 20 years the MSE community has begun to recognize the crucial importance ofcomputational tools in accelerating the development, discovery, and design of new materials.There is widespread consensus among academics, national labs, and industry that computationwill play an increasingly important role in MSE and that