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Conference Session
Materials Division (MATS) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Joel L Galos, California Polytechnic State University, San Luis Obispo; Aaron Zachary Chandler Friedman, California Polytechnic State University, San Luis Obispo; Ethan Jamosmos, California Polytechnic State University, San Luis Obispo; Sarah Isabel Allec, Citrine Informatics; Brina Blinzler, The University of Kansas; Lessa Grunenfelder, University of Southern California; Adam R Carberry, The Ohio State University
Tagged Divisions
Materials Division (MATS)
promotes AIliteracy for students before they enter higher education. Specifically, Laupichler et al. andHornberger et al. [6-8] developed assessments that include questions ranging from ‘Nameexamples of technical applications that are supported by artificial intelligence’ to ‘Give a shortoverview about the history of artificial intelligence’.In this work we describe an active learning framework where students design, manufacture, andtest to create robust process-structure-properties linkages of 3D printed materials. We aim toexplore these aspects using a novel ‘design-driven’ approach (Figure 1) that emphasizes the useof software interfaces that do not require computer programming skills to solve engineeringproblems with AI and ML. This approach
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jonathan R. Brown, The Ohio State University; Elvin Beach, The Ohio State University
Tagged Divisions
Materials Division (MATS)
ties into a senior-level physical metallurgylab where students identify steel alloys in part by performing Jominy tests. Additional detailsthese are presented in the next section. Finally, we also include a general, qualitative descriptionof student impressions and outcomes as well as quantitative data from student evaluations inresponse to these modules that may be relevant to inform similar redesign efforts elsewhere. Theauthors would be happy to share the detailed rubrics and assignments used to interestededucators.Computational-Physical Lab ModulesModule 1: Aluminum alloy design competitionThe first major overlapping physical-simulation module is the aluminum alloy designcompetition. In the physical lab (which occurs first, in the autumn
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
Enze Chen, University of California, Berkeley; Mark Asta, University of California, Berkeley; Andrew Minor, University of California, Berkeley and Larwrence Berkeley National Laboratory
Tagged Divisions
Materials Division (MATS)
software [12] to compile the individual notebooks into an interactive digitaltext that can be stored in a GitHub repository and hosted online (Figure 1), which obviates theneed to manage local software installations and is freely accessible by anyone [13]. Moreover, thecode on the individual pages can be edited and executed by opening the page in a JupyterHubenvironment [14], which is generously provisioned by our campus for our students. Students areable to do all of their analysis in the cloud and focus on learning the concepts while having theirwork saved in one place. Each page can also be opened in Google Colaboratory [15], which is analternative option for running the Python notebooks in the cloud for those without JupyterHubaccess
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
Nina Perry, University of Michigan; Timothy Chambers, University of Michigan
Tagged Divisions
Materials Division (MATS)
attitudes towardcomputational skills and tools. We expect that the interview results will provide additional insights intothe causal mechanisms driving the survey results and thereby inform curricular improvements tosupport MSE students’ development and appreciation of computational skills.AcknowledgementsThe authors would like to thank Dr. Alison Polasik for her support on this project. We also wish toacknowledge the NSF for sponsoring this research.References[1] A. K. Polasik and D. Riegner, "Successes and lessons learned in an undergraduate computational lab sequence for materials science and engineering," in Proc. 2017 ASEE Annu. Conf. & Expo., 2017.[2] A. Ritchie, “The Impact of Creating the Next-Generation Materials Genome
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
David Olubiyi Obada, Ahmadu Bello University, Nigeria; Simeon Akindele Abolade, Atlantic Technological University, Ireland; Shittu Babatunde Akinpelu, Atlantic Technological University, Ireland; Ayodeji Nathaniel Oyedeji, Ahmadu Bello University, Nigeria; Emmanuel Okafor, King Fahd University of Petroleum and Minerals, Saudi Arabia; Cynthia Ujuh Odili, Ahmadu Bello University, Nigeria; Vanessa Faustina Ogenyi; Sokoga Victor Ategbe, Ahmadu Bello University, Nigeria; Adrian Oshioname Eberemu, Ahmadu Bello University, Nigeria; Fatai Olukayode Anafi, Ahmadu Bello University, Nigeria; Abdulkarim Salawu Ahmed, Ahmadu Bello University, Nigeria; Akinlolu Akande, Atlantic Technological University. Ireland; Raymond Bacsmond Bako
Tagged Topics
Diversity
Tagged Divisions
Materials Division (MATS)
performancebased on the coefficient of determination R2 value (0.94) revealed that the model demonstratesgood performance in predicting the bulk modulus of the perovskite materials used during thepractical sections. The survey results after the teaching and practical sessions indicate that thelearning modules are an effective introduction for novice engineering students in this domainand raise awareness of the importance of this important sub-section of AI.Keywords: Engineering Education; Artificial Intelligence; Machine Learning; Perovskites;Materials Science 1. IntroductionMachine learning (ML) is a subfield of artificial intelligence (AI) that has been effectivelyapplied in various problem domains such as computer vision [1], speech recognition [2
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Ryan Barlow, zyBooks; Adrian Rodriguez, zyBooks; Lauren Fogg; Linda Ratts, Wiley; Yasaman Adibi, zyBooks; Jenny Welter, Wiley; Mary Fraley, Michigan Technological University
Tagged Divisions
Materials Division (MATS)
2023 student responses to theresponses of each Fall 2023 course individually. Those results are included in Appendix A. Thep-values were obtained for each Likert scale item and for each course comparison. The p-valueswere compared to an α-value of 0.05 to test for statistical significance. The Cohen's d effect sizewas also calculated to show how much of a difference existed between the responses of thestudents using the zyBook and the students using WileyPLUS. In general, a Cohen's d of around0.2 is considered a small effect size, while 0.5 is considered a medium effect size and 0.8 isconsidered a large effect size.The survey results for the PANAS scale questions about emotions were also analyzed. Eachresponse was assigned a number (1 = A few
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2024 ASEE Annual Conference & Exposition
Authors
Jacob Kelter, Northwestern University; Jonathan Daniel Emery, Northwestern University
Tagged Divisions
Materials Division (MATS)
both undergraduate and graduateeducation should reflect that change [1], [2], [3]. This commitment to a shift in the educationalapproach within MSE departments is highlighted in the strategic plan of the National Scienceand Technology Council’s Materials Genome Initiative, which posits that the next generation ofthe MSE workforce will need to master three competencies: experimentation, data management,and computation [4].MSE educators have worked to construct educational offerings that develop competencies in theareas identified by the Materials Genome Initiative. Several departments have developedcomputational courses or add-on computational modules for existing courses [5], [6], [7], [8],[9], [10]. However, while inroads have been made in
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
B. Ruşen Argun, University of Illinois at Urbana - Champaign; Andre Schleife; Cecilia Leal; Dallas R. Trinkle, University of Illinois at Urbana - Champaign; Nicola H. Perry, University of Illinois at Urbana - Champaign; Jessica Krogstad, University of Illinois at Urbana - Champaign; Matthew D. Goodman, University of Illinois at Urbana - Champaign; Antonia Statt; Marie Agathe Charpagne
Tagged Divisions
Materials Division (MATS)
10 8 6 4 2 0 1 2 3 4 5 Strongly Disagree Strongly Agree (e) MatSE computational curriculum should fo- cus more on general computational thinking skills
Conference Session
Materials Division (MATS) Technical Session 1
Collection
2023 ASEE Annual Conference & Exposition
Authors
Barry Dupen, Purdue University Fort Wayne
Tagged Divisions
Materials Division (MATS)
sources such as journal articles, the news media, and materials handbooksfor data graphics (generally, x-y scatter graphs and tables) that help to explain materialsconcepts. A key purpose of a well-designed graphic is to help the reader compare large sets ofdata in a compact space and in a short amount of time, helping the reader understandrelationships between variables (including uncertainty and scatter). Unfortunately, many datagraphics in the materials field are not easy for undergraduates to read. It's difficult enough forstudents to learn new MS&E concepts without facing unnecessary barriers to learning such aspoorly-designed data graphics.Many data graphics in handbooks, textbooks, and the media show curves with no datapoints
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Matthew D Goodman, University of Illinois Urbana-Champaign; Saadeddine Shehab, University of Illinois Urbana-Champaign; Nicholas Robert Pozza; Blake Everett Johnson, University of Illinois Urbana-Champaign; jean-charles stinville, University of Illionis Urbana-Champaign
Tagged Divisions
Materials Division (MATS)
objectives andconstraints [2]. Often, students are required to balance several, at times competing, objectives. Aclassic example in mechanical applications is a high-strength, low-density material. Aside fromthe technical feasibility of the design project, students are also forced to consider businessfeasibility, environmental impacts, social, political, and ethical implications, manufacturability,and unintended consequences.Additionally, accreditation by ABET is only possible if ABET’s Criterion 5d is satisfied wherethe engineering curriculum must include “a culminating major engineering design experiencethat 1) incorporates appropriate engineering standards and multiple constraints, and 2) is basedon the knowledge and skills acquired in earlier
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Luciana Lisa Lao, Nanyang Technological University, Singapore; LAY POH TAN
Tagged Topics
Diversity
Tagged Divisions
Materials Division (MATS)
good participation was obtainedfrom our target groups (students, faculty, alumni and employers), as recorded in Table 1below. It is noted that a slightly lower participation from employers and alumni groups couldbe attributed to the lack of interactive, in-person sessions restricted by the pandemic.Table 1. Number of responses gathered from various stakeholders Students Educators (faculty) Alumni Employers 104 23 48 24The third phase of the study began by compiling and analysing the survey results.Comprehensive data analysis revealed valuable insights about the existing curriculum as wellas the emerging trends in Materials Engineering industry
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2023 ASEE Annual Conference & Exposition
Authors
David Olubiyi Obada, Africa Centre of Excellence on New Pedagogies in Engineering Education, Ahmadu Bello University, Zaria, Nigeria; Adrian Oshioname Eberemu; Kazeem A. Salami, Ahmadu Bello University; Ayodeji Nathaniel Oyedeji, Ahmadu Bello University; Akinlolu Akande; Fatai Olukayode Anafi, Ahmadu Bello University; Abdulkarim Salawu Ahmed
Tagged Divisions
Materials Division (MATS)
modulus, modulus of elasticity, and youngmodulus. Based on these subtopics, each of the 7 sub-groups were entrusted with creatingscenarios for solving actual problems and these groups were further streamlined to form acore group for the study. We present case-studies on how the collated jigsaw pieces wereuseful to support the students and create in-depth knowledge on the subject matter. 1. IntroductionSince engineering practitioners mostly work in teams, cooperative learning and thecompetencies generated from the participating teams are especially relevant for studentsin areas like materials science. Materials science refers to a multidisciplinary subjectwhich cuts across the physics and chemistry of matter, and their engineering
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Yljing Stehle, Union College
Tagged Divisions
Materials Division (MATS)
design of PB-Lab engages students with active learning and authentic learning; theysee how what they are learning in materials sciences can be applied as working engineers.Students experience the interdependent and integrated nature of the materials developmentprocess in the lab and generate their own concepts about addressing global challenges. Insummary, PB-Lab engages students in identifying problems, developing potential solutionsthrough materials characterization and analysis in the lab, and delivering effectivecommunication in the form of lab reports or presentations. 1. Introduction Materials science (MER 213/lab) at Union College is a sophomore-level course integralto understanding the properties and applications of
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2023 ASEE Annual Conference & Exposition
Authors
Sofia Ahmed, University of Florida; Matthew J. Traum
Tagged Divisions
Materials Division (MATS)
continued to question the validity of the Modulus of Toughness value assumed but lacked amethod to measure it directly. Figure 5: (left) Scrap aluminum part in which representative divots were forced via automatic centerpunch; (right) the divot’s volume was evaluated via white light interferometry.Had an inexpensive desktop tensile tester been available, students could have 1) selected amaterial to test, 2) created centerpunch divots in that material for volume evaluation by whitelight interferometry, 3) generated a dog bone material sample via waterjet for testing, 4) tensiletested the material to failure, and 5) analyzed resulting data by taking the area under the curve toextract an experimental Modulus of Toughness for use in the Equation
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Aroba Saleem, University of Florida; Idris Jeelani, University of Florida
Tagged Divisions
Materials Division (MATS)
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
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2023 ASEE Annual Conference & Exposition
Authors
William D. Callister Jr., University of Utah; David G. Rethwisch, The University of Iowa
Tagged Divisions
Materials Division (MATS)
-discipline, motivation, commitment to studying/learning, and course preparation (prerequisites) • For the instructor—personality, expectations of students, recognition of student limitations, pace of course, commitment to quality instruction, empathy for students • Course/classroom conditions—class size, classroom size and arrangement, meeting time • Mode of teaching—lecture, active learning [1], problem-based learning [2], “flipped classroom” [3], Process Oriented Guided Inquiry Learning (POGIL) [4]Of course, each of these modes of teaching has its advantages and disadvantages. In addition,many of the factors listed are outside the instructors’ jurisdictions. The authors of this paper have been involved with
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Sarah A Goodman, Stevens Institute of Technology; Emily L Atieh, Stevens Institute of Technology
Tagged Divisions
Materials Division (MATS)
that women, students from groups historically underrepresented inSTEM, and first-generation college students are more drawn to fields that they perceive asaltruistic and can lead to careers in which they can help others [7], [8], [9], [10], [11], [12], [13].Therefore, by using this project to situate MSE as a field in which students could impact theircommunities, we hope to increase interest in MSE. Finally, there is evidence to support thatcampus-related projects improve student outcomes by providing real-world experience [14],[15], [16], and can also provide a benefit to the university [17].In this work, we seek to understand the impacts of a campus-focused design project on students’1) sense of belonging in the field of MSE, 2) sense of
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2024 ASEE Annual Conference & Exposition
Authors
Adrian Nat Gentry, Purdue University; Langdon A. Feltner, Purdue University; Paul Mort, Purdue University
Tagged Divisions
Materials Division (MATS)
articles, Dave et al. [20], Jacobson et al. [30]and Rodríguez et al. [11], provided an overview for a real and/or hypothesized particle andpowder science course including labs. Rodríguez et al. [11] proposed a course structure,including virtual and in person labs, that have been specifically designed to engage Generation Zstudents. Proposed virtual labs include the use of Aspen Solids, previously SolidSim, a flowsheet analysis program. Dave et al. [29] and Jacobson et al. [30] proposed labs that require alarge amount of specialized equipment, which is less feasible for most educators.Fundamental tools to teach particle scienceFundamental particle science categories were based on recommendations for curriculum byLitster et al. [1] from the 2017 the
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2023 ASEE Annual Conference & Exposition
Authors
Lessa Kay Grunenfelder, University of Southern California
Tagged Divisions
Materials Division (MATS)
Figure 1) [3].The lower half of this figure will be familiar to the materials scientist. Core to the discipline isthe interplay between structure, processing, and properties. Design projects have the benefit ofemphasizing these relationships while at the same time bringing in the top tetrahedron in Figure1 which highlights the economic, social, and environmental implications of material and processselection. The two tetrahedra converge at the “design solution” – the intended outcome of adesign project. Figure 1. The “dual tetrahedron” – a visual representation of the connection between the technical and social aspects that must be considered in developing a design solution [3].Project overviewTo implement PBL in an introductory materials
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2023 ASEE Annual Conference & Exposition
Authors
Carlos R. Corleto, Texas A&M University; Matt Pharr, Texas A&M University; Bruce A Conway, Texas A&M University; Shadi Balawi, Texas A&M University; Bruce L. Tai, Texas A&M University
Tagged Divisions
Materials Division (MATS)
author of 10 patents and multiple publications/presentations at technical and engineering education conferences. Areas of expertise and research interest include, Deformation & Failure Mechanisms, Materials Science, Fracture Mechanics, Process-Structure-Property Relationships, Finite Element Stress Analysis Modeling & Failure Analysis, ASME BPV Code Sec VIII Div. 1 & 2, API 579/ASME FFS-1 Code, Materials Testing and Engineering Education. Professionally registered engineer in the State of Texas (PE).Matt Pharr, Texas A&M University Matt Pharr is an Associate Professor and J. Mike Walker ’66 Faculty Fellow in Mechanical Engineering at Texas A&M University with a courtesy appointment in Materials
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Himani Sharma, Georgia Institute of Technology
Tagged Divisions
Materials Division (MATS)
Ceramics, Solvay, Novelis) in addition to battery testing company (ElementAssurance). The lectures offered direct insights into various facets of MSE, such as aluminummanufacturing to battery testing, ceramic production, and polymer processing. In addition, acollaborative effort with one company has resulted in the creation of technical videos that serveas supplemental resources for students. These pedagogical endeavors have been thoughtfullyaligned with the MSE paradigm, focusing on materials processing, properties, and performance.The goal of the initiative is to demonstrate the practical significance of the theoretical conceptsand processes taught in the classroom, rendering academic knowledge tangible and relevant.This work in progress paper
Conference Session
Materials Division (MATS) Technical Session 3
Collection
2023 ASEE Annual Conference & Exposition
Authors
Shayna Earle, McMaster University ; Liza-Anastasia DiCecco, McMaster University; Dakota M Binkley, McMaster University; Muhammad Arshad, McMaster University ; Andrew Lucentini, McMaster University ; Gerald Tembrevilla, McMaster University, Mount Saint Vincent University; Bosco Yu PhD, P.Eng, McMaster University, University of Victoria
Tagged Divisions
Materials Division (MATS)
- 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
Conference Session
Materials Division (MATS) Technical Session 2
Collection
2024 ASEE Annual Conference & Exposition
Authors
Nutnicha Nigon, Oregon State University; Julie Tucker, Oregon State University; Milo Koretsky, Tufts University
Tagged Divisions
Materials Division (MATS)
activation ofconceptual resources leading to canonical understanding. Utilizing a qualitative think-alouddesign, four students completed the CALM while being recorded and prompted to explain theirthinking. Sessions lasted two to three hours per participant. Audio recordings of studentsthinking aloud were supplemented by video recordings of their screens as they completed themodule. We also collected and analyzed the notes they wrote as they completed the CALM.Comparing across the four cases, the activation and coordination of resources was moreidiosyncratic than we previously envisioned. For example, part of the CALM contains three two-part multiple-choice questions used for formative assessment with the initial question asking aconceptually
Conference Session
Materials Division (MATS) Technical Session 4
Collection
2025 ASEE Annual Conference & Exposition
Authors
Joel L Galos, California Polytechnic State University, San Luis Obispo; Mohsen Beyramali Kivy, California Polytechnic State University, San Luis Obispo; Lessa Grunenfelder, University of Southern California; Ken-ichi Nomura, University of Southern California; James E. Saal, Citrine Informatics, Inc.
Tagged Divisions
Materials Division (MATS)
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
Conference Session
Materials Division (MATS) Technical Session 2: Activities with Impact! Special Session
Collection
2025 ASEE Annual Conference & Exposition
Authors
Irina Molodetsky, New Jersey Institute of Technology
Tagged Divisions
Materials Division (MATS)
she led a Neutron Generators technology team. At NJIT, she truly enjoys teaching undergraduates and extensively uses her industrial experience for designing real life laboratory experiment challenges and projects for students; develops courses for a new Materials Engineering Program (started in Fall 2022), currently teaches Mechanical Behavior of Materials and Electrical, Optical, Magnetic and Thermal Properties of Materials (EOMT). She continuous teaching Chemical Engineering Laboratory for Seniors and other undergraduate classes at Materials and Chemical Engineering Department. ©American Society for Engineering Education, 2025 Let’s Find
Conference Session
Materials Division (MATS) Poster Session
Collection
2025 ASEE Annual Conference & Exposition
Authors
David Olubiyi Obada, Africa Centre of Excellence on New Pedagogies in Engineering Education (ACENPEE), Ahmadu Bello University, Zaria, Nigeria; Ayodeji Nathaniel Oyedeji, Ahmadu Bello University; Simeon Akindele Abolade; Shittu Babatunde Akinpelu, Atlantic Technological University, Ireland; RAYMOND BACSMOND BAKO; Adrian Oshioname Eberemu; Akinlolu Akande
Tagged Divisions
Materials Division (MATS)
platforms. Students explored andinteracted with the materials, collaborated as a unit, and engaged in problem-solving activities.Synchronous sessions were conducted, and assessments were performed based on learningoutcomes. 4Figure 1: Schematic of the CACPLA teaching method [13] 5The collaborate section of the CACPLA pedagogy was elaborated for the Jigsaw groups and severalprocesses were implemented as described in Fig. 2 (a general schematic of the modified Jigsaw procedureadopted in the study). The 39 students in the jigsaw group were divided into home groups based on theirpre-lecture test scores. Four of these groups consisted of 6 students each, while the remaining three