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Displaying all 12 results

A Scoping Review of Tools for Teaching Particle Science Engineering & Technology

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)
, characterisation, handling and processing!,” Chem. Eng. Res. Des., vol. 146, pp. 162–165, Jun. 2019, doi: 10.1016/j.cherd.2018.11.029.[3] R. N. Dave, R. Pfeffer, A. D. Rosato, I. S. Fischer, and J. Luke, “Particle technology research at NJIT,” in ASEE Annual Conference Proceedings, Anaheim, CA, USA, 1995, pp. 1049–1064.[4] A. Almarshoud, “The advancement in using remote laboratories in electrical engineering education: a review,” Eur. J. Eng. Educ., vol. 36, no. 5, pp. 425–433, 2011.[5] J. Grodotzki, T. R. Ortelt, and A. E. Tekkaya, “Remote and virtual labs for engineering education 4.0: achievements of the ELLI project at the TU Dortmund University,” Procedia Manuf., vol. 26, pp. 1349–1360, 2018.[6] M. Borrego, M. J. Foster, and J
Relevance Score: 0.033405297

Revealing the Bulk Mechanical Property Threshold for Thin Metallic Samples to Support a Desktop-Scale Stress-Strain Apparatus

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)
valuable.References[i] “Listing of Online Engineering Programs Accredited by ABET,” [Online]. Available at:https://www.abet.org/accreditation/find-programs/. J. Starks, F. R. Hendrickson, F. Hadi, M. J. Traum, “Miniaturized Inexpensive Hands-On Fluid Mechanics[ii]Laboratory Kits for Remote On-Line Learning,” Proceedings of the 124 th American Society for Engineering Education(ASEE) Conference and Exposition, Columbus, OH, June 25 - 28, 2017.[iii] M. J. Traum, F. Hadi, “A Miniaturized Circular Hydraulic Jump for Remote On -Line Fluid Mechanics Instruction,”Journal of Online Engineering Education, Vol. 10, No. 1, Article 3, June 2019. M. J. Traum, S. R. Niemi, P. Collins, M. Q. Jenkins, S. R. Putnam, C. M
Relevance Score: 0.026994929

Integrating programming-based modules into a materials characterization laboratory course to reinforce data science and scientific writing

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)
, pp. 160–177, 1945.[20] C. R. Harris, K. J. Millman, S. J. van der Walt, et al., “Array programming with NumPy,” Nature, vol. 585, no. 7825, pp. 357–362, 2020.[21] W. McKinney, “Data structures for statistical computing in Python,” in Proceedings of the 9th Python in Science Conference (S. van der Walt and J. Millman, eds.), pp. 56–61, 2010.[22] S. P. Gentry, “Motivation on programming assignments in materials science and engineering,” in 2019 ASEE Annual Conference & Exposition, p. 16, 2019.[23] G. M. Lu, D. R. Trinkle, A. Schleife, et al., “Impact of integrating computation into undergraduate curriculum: New modules and long-term trends,” in 2020 ASEE Annual Conference, 2020.[24] N. C. Emery, E. Crispo, S. R. Supp
Relevance Score: 0.02521127

Introductory materials science: A project-based approach

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)
Selection in Mechanical Design. Elsevier Science, 2016.[7] M. Ashby, H. Shercliff, and D. Cebon, Materials: Engineering, Science, Processing and Design, 4th ed. Elsevier, 2019.[8] https://www.ansys.com/products/materials/granta-edupack, “Ansys Granta EduPack.”[9] “https://www.cpsc.gov/Recalls.”[10] S. A. Claussen, J. Y. Tsai, A. M. Boll, J. Blacklock, and K. Johnson, “Pain and Gain: Barriers and Opportunities for Integrating Sociotechnical Thinking into Diverse Engineering Courses,” in ASEE Annual Conference, 2019.[11] J. E. Mills and D. F. Treagust, “Engineering education-is problem-based or project-based learning the answer?,” Australian Journal of Engineering Education, 2003, [Online]. Available: http
Relevance Score: 0.024458228

Teaching Basic Concepts in Machine Learning to Engineering Students: A Hands-on Approach

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)
University, Zaria, 810222, Nigeria. 11Multifunctional Materials Laboratory, Shell Office Complex, Department of Mechanical Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria. Corresponding author: David O. Obada (doobada@abu.edu.ng)AbstractAccording to a recent survey conducted by the Corporate Member Council of the AmericanSociety of Engineering Education (ASEE), there exists a notable disparity in the skill sets ofengineering graduates about Artificial Intelligence (AI). To address this disparity from theAfrican context, the Africa Centre of Excellence on New Pedagogies in Engineering Educationorganized a machine learning (ML) workshop for engineering students from differentdisciplines. Seventy-three (73
Relevance Score: 0.02329208

Impact of Computation in Undergraduate Curriculum : Alumni Perspective

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)
perspective,” in 2019 ASEE Annual Conference & Exposition, 2019.[11] S.-H. Hsu, Y.-C. Wang, C.-J. Cheng, and Y.-F. Chen, “Developing a decomposed alumni satisfaction model for higher education institutions,” Total Quality Management & Business Excellence, vol. 27, no. 9-10, pp. 979–996, 2016.[12] R. J. Puerzer and D. M. Rooney, “The alumni survey as an effective assessment tool for small engineering programs,” Journal of Engineering Education, vol. 91, no. 1, pp. 109–116, 2002.[13] A. F. Cabrera, D. J. Weerts, and B. J. Zulick, “Making an impact with alumni surveys,” New Directions for Institutional Research, vol. 2005, no. 126, pp. 5–17, 2005.[14] J. F. Volkwein, “Assessing alumni outcomes,” New Directions for Institutional
Relevance Score: 0.020704312

Origami in Materials Engineering

Conference Session
Materials Division (MATS) Technical Session 2
Collection
2023 ASEE Annual Conference & Exposition
Authors
Anuja Kamat, Wentworth Institute of Technology
Tagged Divisions
Materials Division (MATS)
readings/topic and carry out a lab basedexperiment. It is expected that the students would complete a student poster or paper suitable tobe presented at the ASEE -Regional Conference. Considering the limitations, the authors set out to build a lab module which would beeducational, innovative and inspiring. Inspired by the work of Professor Paulino from GeorgiaTech, who does graduate level research in this area, the authors thought that it would be valuableto build a one week module for undergraduate students. Fig 1. Origami used as works of artLesson Plan:Objective: To build a structure using Origami which can carry a large amount of weight and tolearn about material properties of the modelApplication in Civil
Relevance Score: 0.018984023

Re-Envisioning Materials Science Education Through Atomic-Level Computational Modeling

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)
. [Online]. Available: https://eric.ed.gov/?id=EJ1076098[6] A. Kononov et al., “Computational curriculum for MatSE undergraduates,” in ASEE Annual Conference and Exposition, Conference Proceedings, Jun. 2017. Accessed: Nov. 04, 2018. [Online]. Available: https://experts.illinois.edu/en/publications/computational- curriculum-for-matse-undergraduates[7] L. (Samantha) Li, “Integrating Computational Modeling Modules into Undergraduate Materials Science and Engineering Education,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2016. [Online]. Available: https://scholarworks.boisestate.edu/mse_facpubs/276[8] A. J. Magana, M. L. Falk, and M. J. Reese Jr., “Introducing Discipline-Based Computing in
Relevance Score: 0.017273922

Assessing the Effects of an Interactive Web-native Materials Science Textbook on Student Self-efficacy

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)
. Bovtruk, I. Slipukhina, S. Mieniailov, P. Chernega, and N. Kurylenko, "Development of an electronic multimedia interactive textbook for physics study at technical universities," 16th International Conference on ICT in Education, Research and Industrial Applications, October 2020.[5] K.M. Kecskemety, K.A. Parris, "Exploring the impact of a Matlab programming interactive e-textbook in a first-year engineering course," ASEE Annual Conference and Exposition, June 2019.[6] Liaw, S. S., & Huang, H. M. (2016). Investigating learner attitudes toward e-books as learning tools: based on the activity theory approach. Interactive Learning Environments, 24(3), 625-643.[7] R. McFall, H. Dershem, and D
Relevance Score: 0.016989842

Teaching artificial intelligence and machine learning to materials engineering students through plastic 3D printing

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)
´ Engineering Education Network (REEN), visiting Ecole Nationale Sup´erieure des Mines in Rabat, Morocco as a Fulbright Specialist, receiving an FSE Top 5% Teaching Award, receiving an ASEE Educational Research and Methods Division Apprentice Faculty Award, receiving a Frontiers in Education New Faculty Award, and being named an ASEE Fellow. ©American Society for Engineering Education, 2024 Teaching artificial intelligence and machine learning to materials engineering students through plastic 3D printingAbstractComputational tools in conjunction with Artificial Intelligence (AI) and Machine Learning (ML)have the potential to play significant roles in the future of Materials Science and
Relevance Score: 0.015092198

Student-Tool Interactions from a Conceptually Challenging Adaptive Learning Module for Materials Science

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)
Relevance Score: 0.013423732

Campus Re-engineered: Tackling problems close to home to promote interest in the field of Materials Science and Engineering for non-majors

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)
ASEE Annual Conference & Exposition Proceedings, New Orleans, Louisiana: ASEE Conferences, Jun. 2016, p. 25999. doi: 10.18260/p.25999.[7] A. B. Diekman, E. S. Weisgram, and A. L. Belanger, “New Routes to Recruiting and Retaining Women in STEM: Policy Implications of a Communal Goal Congruity Perspective,” Soc. Issues Policy Rev., vol. 9, no. 1, pp. 52–88, 2015, doi: 10.1111/sipr.12010.[8] K. L. Boucher, M. A. Fuesting, A. B. Diekman, and M. C. Murphy, “Can I Work with and Help Others in This Field? How Communal Goals Influence Interest and Participation in STEM Fields,” Front. Psychol., vol. 8, 2017, Accessed: Feb. 07, 2024. [Online]. Available: https://www.frontiersin.org/journals/psychology/articles
Relevance Score: 0.01293617