Paper ID #38508Introductory materials science: A project-based approachDr. Lessa Kay Grunenfelder, University of Southern California Lessa Grunenfelder has a BS in astronautical engineering and a MS and PhD in materials science, all from the University of Southern California. In 2015 she joined the Mork Family Department of Chemical En- gineering and Materials Science at USC as teaching faculty. She teaches both undergraduate and graduate courses on material properties, processing, selection, and design. She is passionate about sharing her love of materials science with students through curriculum that combines
Paper ID #41147Integrity independent lab into project: A modification made to the materialsscience Lab curriculumDr. Yljing Stehle, Union College Yijing Y. Stehle received her Ph.D. in 2010 from the Department of Mechanical Engineering at the University of Miami. After completing doctoral studies, she did one year of postdoctoral research at the University of Florida. From 2012 to 2014, she joined Bluestone Global Tech in Poughkeepsie, NY as a senior research scientist. She worked as postdoctoral associate at Oak Ridge National Lab from 2014 to 2017 on 2D materials and devices. From 2017-2019, she worked as an assistant
engineering majors. As a result,one of the ever-present challenges in teaching a required introductory MSE course to a broadengineering audience is creating student buy-in. We posit that this barrier can be overcome bysituating materials selection within the context of a college campus. In this study, we implementa final project in an undergraduate Intro to Materials Science course which requires students toweave together technical knowledge from the course with their own life experience to solve aproblem on campus. Through a student survey, we seek to understand the sources of knowledgestudents leverage in order to identify and address an on-campus materials-related challenge. Wefurther explore the impact of this project and the MSE course as a
throughout the program’s curriculum to complete a design project. This paperinvestigates the ongoing work of restructuring a traditional one-semester, 3-credit springcapstone experience in materials science and engineering into a two-semester fall (1-credit) andspring (2-credit) experience. During the restructuring of the capstone experience, the Human-Centered Design (HCD) framework, a method to formalize the design process in discrete stages,was integrated into the course content. Due to course catalog constraints, a 1-credit fall coursewas piloted in Fall 2022 as an elective for seniors (enrollment was approximately 30% of thesenior population); the traditional 3-credit course was still required of all seniors in Spring 2023.Aspects of HCD were
Miura ori fold which demonstrated interesting material properties like thenegative Poisson’s ratio. In addition, the students predicted and then tested the strength of thefolded paper. The teaching module is presented here. In this course, the students are usuallyexposed to different materials every week. They then pick one material and study it in-depth inthe last few weeks of class as their project. Three of the nine students in the class picked thistopic. Details of the projects are also presented here. Additionally, what worked, what did notwork, and why, is then discussed in this paper, along with suggestions for improvement.Introduction: Origami has been used for several years as works of art, but in recent years has been usedfor
our students with the essential knowledge and skills necessary to excel inthe ever-advancing materials engineering industry. The collective curriculum review exercisesought to evaluate the existing curriculum, identify gaps and areas for improvement andaddress future needs of the materials engineering industry.Gathering relevant stakeholders’ input is a crucial element to guide this endeavour. Supportedby an education grant, this project, thus, aimed to survey and consult various stakeholdersincluding students, educator (faculty), alumni and employers on their feedback about theexisting Materials Engineering curriculum and their views of the future developments inMaterials Engineering industry. Subsequently, this study forms the basis for
) providing opportunities for leadership, mentorship,and networking.xxiiiThe Researcher Incubator technique developed originally by Traum & Karackattu was applied tosuccessfully engage URSP students in the research enterprise. xxiii The Researcher Incubator positsthat if students are 1) taught needed skills, 2) empowered by group work, and 3) vested withserious responsibility they will spontaneously find and/or develop whatever knowledge isrequired to succeed on the project.xxii This technique has proven effective to engage lowerdivision engineering students and even high school students in productive research.Two URSP freshmen were recruited into the project. These students enrolled in a research-for-credit course in parallel with a classroom
students.On the other hand, some tools aim to reduce barriers to entry; for example, work by Weinhart etal. [19] provided comprehensive, easy to follow documentation for projects with differing levelof difficulty (i.e., simulation/code complexity).One strategy to develop beginner friendly tools is to use object-oriented coding and a high-levelinterface to interact with a low-level program, seen in Windows-Yule et al. [20] and Casas-Orozco et al., 2021 [21]. Utilizing Python to pass commands to LAMMPS greatly reduced thecomplexity and allows the user to focus on the problem they are simulating rather than syntax.Python’s advantages include dynamic types (i.e., the Python interpreter will automatically castdata into the correct type as it passes into a
- terials science instructor for the Engineering 1 program at McMaster University. He was also one of the lead project developers for the first-year multidisciplinary project-based learning course (ENG 1P13). Dr. Yu’s pedagogical approach focuses on experiential learning, collaborative learning, gamified learning, student-centred education, and design-led materials science education. Dr. Yu joined the Department of Mechanical Engineering at the U. of Victoria in September 2022 as an Assistant Professor. He leads a research group (”Hybrid 3D”) that leverages additive manufacturing to develop new generations of hy- brid materials that are lightweight, recyclable and highly tunable to solve global sustainable development
Associate Professor in the Mechanical Engineering department at Texas A&M. He teaches in the areas of materials, manufacturing, and design. His interests are in the areas of Engineering Design for Disciplinary STEM Educational Research, Team Formation and Team Skill Education.Prof. Bruce L. Tai, Texas A&M University Dr. Tai is an Associate Professor in J Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University. His research in manufacturing focuses on machining processes, additive manufactur- ing, and data-driven surgical training. He has over a 15-year track record in manufacturing research and education. The recent research projects include machining non-traditional metal alloys
Diagrams), and this acts as a mid-term project for the courseover two weekly lab periods. Thermo-Calc includes the ability to calculate both equilibriumphase behavior and phase behavior that results from precipitation hardening (appropriate for analuminum alloy); it also has models for predicting mechanical (e.g., yield strength) and electrical(e.g., conductivity) properties (among others) based on the calculated phase behavior.The task the students are presented with has two parts: 1. Simulate the alloy they made in the physical lab including thermomechanical processing and compare the predictions of the yield strength and conductivity to what was found experimentally. 2. Modify their alloy (either in composition, processing, or
structured nature of courses, allowingstudents to gain valuable insights and experiences in a more manageable and integrated manner.Examples of such collaborations include industry-driven capstone projects, research seminars,plant tours and guest lectures [7].In Materials Science and Engineering (MSE) undergraduate education, the integration ofindustry involvement within coursework has predominantly centered around capstone designcourses [8]. Here, students engage in semester-long projects, collaborating with industrysponsors to address research problems and deliver comprehensive reports. Other more infrequentassociation involve instructors inviting guest lecturers to contribute industry perspectives to thecoursework. However, aligning these
research area. He is currently the academic and research coordinator with the African Center of Excellence on New Pedagogies in Engineering Education (ACENPEE), Ahmadu Bello University Zaria; a World Bank funded Development Impact project with the aim of scaling up post graduate education at the MSc/PhD levels through regional specialization and collaboration in the West African Sub-region. Adrian is a registered Engineer with Council for Regulation of Engineering Practice in Nigeria (COREN), a member of the Nigerian Society of Engineers, a member of the American Society for Civil Engineers as well as the International Society for Soil Mechanics and Geotechnical Engineering (ISSMG).Fatai Olukayode Anafi, Ahmadu Bello
University (Mechanical En- gineering), and The University of Utah (in both Materials Science and Engineering, and Metallurgical Engineering). Nonacademic pursuits include tending his orchards (he’s a fruit philanthropist) and playing the piano.Dr. David G. Rethwisch, The University of Iowa Dr. Rethwisch is a professor of chemical and biochemical engineering at the University of Iowa. His current research interest is assessing the impact of secondary curricula (particularly problem/project based learning curricula) on student interest and pe ©American Society for Engineering Education, 2023 A New Paradigm for Learning the Fundamentals of Materials
reasonably expectthat most juniors have more practice and experience with computational tools than freshmen, andtherefore would have higher confidence in their abilities. Fig. 1. Plots depicting comparisons between NCS freshman and junior mean responses regardingprogramming/simulation self-efficacy (a) and valuation (b). For all questions relating to self-efficacy, the Likert scale translates to 1 = “Not at all confident” to 6 = “Extremely Confident.” For self-efficacy questions, the scale translates to 1 = “Strongly Disagree” to 6 = “Strongly Agree.”Our findings revealed a surprising similarity in NCS freshmen and junior mean responses related tomotivation and ability to strategize for programming and simulation-related projects
Multifunctional Materials Laboratory, Shell Office Complex, Department of Mechanical Engineering, Ahmadu Bello University, Zaria, Nigeria 7 School of Science, Atlantic Technological University, Ash Lane, Ballytivnan, Sligo, Ireland8 Department of Materials Science and Engineering, University of Ghana, Legon, Ghana Corresponding author: David O. Obada (doobada@abu.edu.ng)ABSTRACTGroup project forms an integral part of engineering education because creatingconnections between the course modules and its applications can be a difficult task.Therefore, team dynamics/cooperative learning can play a major role in determining thesuccess rate of learners, with new pedagogies and think-pair
Paper ID #39350Exploring how Different Instructional Methods Compare to Improve StudentPerformance and Satisfaction in an Online Environment.Mr. Michael Roberts, University of Florida Currently, I work as a Technology Coach for a research grant. I have research experience in numerous fields including Magnetic Barkhausen Noise (MBN) in HY80 steel, Engineering Education, Artificial Intelligence (AI), and my current senior design project involves designing a sensor to detect volatile gases in moon regolith (moon rock). long with my research experience, I have developed my programming and computational skills which have
apply. Figure 3: Data AnalysisSkills related to CodingIn addition to “Programming Languages” section, to investigate the need for coding related skillsin more detail, we asked alumni to rate how relevant the following practices for their job are (eachon a 5-point Likert Scale): • Skill 1: “Working with big coding projects collaboratively” • Skill 2: “Managing workflows and version control” • Skill 3: “Testing and verifying code” • Skill 4: “Finding your way around complicated chunks of code”These practices can be considered to be specific to software engineers, however, in Figure S1 weshow that for approximately half of the MSE graduates
, namely, Mechanical,Civil, Electrical, Chemical and Industrial, have courses on materials, both at the undergraduate andgraduate levels as well as funded research projects in materials. Furthermore, the Faculty of Arts andSciences has similar emphasis in materials, in the departments of Physics, Chemistry, Biology and Geology.In sum, the Division of Materials of ASEE is of great interest for our academic improvement [1]. Hence, thispaper!Over the last few years, several natural and man-made phenomena have affected any progress of thissmall island. While the earthquakes and the hurricanes are natural phenomena, not disasters, COVID-19was certainly a man-made cataclysm. We had a severe earthquake, over 7 on Richter’s Scale, plus COVID-19 started
, “Series of Jupyter notebooks using Python for an analytical chemistry course,” Journal of Chemical Education, vol. 97, no. 10, pp. 3899–3903, 2020.[10] M. van Staveren, “Integrating Python into a physical chemistry lab,” Journal of Chemical Education, vol. 99, no. 7, pp. 2604–2609, 2022.[11] T. Kluyver, B. Ragan-Kelley, F. P´erez, et al., “Jupyter notebooks - a publishing format for reproducible computational workflows,” in Positioning and power in academic publishing: Players, agents and agendas (F. Loizides and B. Schmidt, eds.), pp. 87–90, 2016.[12] Executable Books Project, “Jupyter Book.” Zenodo, 2020. v0.12.3.[13] E. Chen and A. M. Minor, “MSE 104L Data Analysis.” GitHub, 2023. https://enze-chen.github.io/mse104l/.[14
, which can enable students to understand and identify the characteristics ofsuccessful AI-driven product development projects. The ability for students to learn andperform an end-to-end data science workflow without writing a single line of code, all withinthe context of materials design, has the potential to enhance their educational experience butwill also improve their employability in a rapidly advancing field. Figure 3: Citrine Platform ‘branched’ workflow for investigating materials development using AI/ML without the need for computer programming.Following 3D printing and material characterization, students curate the material propertydataset so that it can be ingested in the Citrine Platform to train a ML model. The output ofthis
does make sense when looking at the provided figures and briefexplanation from the CALM, the intended correct connection would be “a lattice point representsan atom, usually located at the center of an atom, which are at corners of the unit cell for the SCstructure.” This connection was not established for Max. Figure 9. A supplemental video slide showing a concept of lattice parameter. The original pictures used in this slide are from [47], which is the required textbook in the course.DiscussionThis paper is part of our broader project addressing the development of conceptual understandingin adaptive personalized learning systems. In the study reported here, we observed in detail howfour students interacted with the tool to develop
Louisiana Tech University. She has a Bachelor’s degree in Mechanical Engineering and a Master’s degree in Mechanical Engineering. Her research interests are diversity, gender equity, retention, project-based learning, and cognitive models of problem-solving.Ms. Linda Ratts, WileyYasaman Adibi, zyBooks Yasaman Adibi is an Engineering Content Author at zyBooks. She earned her PhD in Electrical Engineering from the University of Minnesota in 2015, where her research focused on medical imaging using ultrasound. She also did two years of postdoctoral researMs. Jenny Welter, WileyMs. Mary Fraley, Michigan Technological University Mary Fraley is a Senior Lecturer in the Department of Engineering Fundamentals at Michigan
MSE curricula at upper-level undergraduateand graduate courses, introductory courses are still largely taught with traditional diagrams andformulae approaches, leaving computational thinking, exploration, and modeling for later. Thistraditional approach misses an opportunity to leverage computational modeling as a coreteaching and learning tool when students begin their study of MSE. According to the OpenSyllabus project [11], which has collected over 230,000 engineering syllabi, the most popularintroductory MSE textbook, authored by Callister and Rethwisch [12], is the second mostassigned textbook across all engineering disciplines. This textbook has been through manyeditions, but it was originally written in 1985 and does not include any