manufacturability thatapply to subtractive manufacturing also carry over to other manufacturing techniques such asforms of molding, forming, and extrusion. By teaching what problems can arise when attemptingto manufacture a new design and how to address these issues, the proposed course will promoteproblem-solving skills relevant to design and force students to be conscientious about how theirdesigns will actually be produced.Over the course term, students will learn the fundamentals of computer-controlled machining, howto use CAM software, and key principles of designing for manufacturability. Through lessons inusing the full extent of Fusion 360’s CAM toolbox, assignments that gradually escalate with thestudents’ understanding of CAM, and a hybrid
Involvement grant awarded by the Cummins Foundation, an entityof Cummins Inc.’s Corporate Responsibility division responsible for funding projects andendeavors focused on community involvement activities organized by Cummins employees inpartnership with non-profit organizations in the communities served by Cummins business units.This grant money was used to purchase AWIM project/challenge kits for 2 years for Girls Inc. andcover expenses for SAE staff to train Cummins employees and Girls Inc. Franklin program staffon leading these challenges.The structure of the sessions is as follows: 1. Students are split into 3 larger subgroups according to their grade levels: Kindergarten to 1st grade, 2nd grade, and 3rd & 4th grade. This split was
years to move the world forward. The preliminary data in this studyseems to show that a cross-disciplinary collaborative teaching approach involving co-teachingand co-learning can assist students in developing competencies in these innovation skills. Whilethis shift in self-efficacy may show student growth, more opportunities for research intounderstanding how this development enhances or impedes learning or how it will impact theworkforce remains.ReferencesAnwar, K., Asari, S., Husniah, R., Asmara, C. H. (2021). Students’ Perceptions of Collaborative Team Teaching and Student Achievement Motivation. International Journal of Instruction, 14(1), 325-344.Association of American Colleges and Universities (AAC&U) (2009a). Integrated
” forreporting “Male/Female/Non-binary Gender/Another Gender or Unknown” [7]. Please see the 2016report of the Integrated Postsecondary Education Data System (IPEDS) Technical Review Panel(TRP) discussion on gender for additional context [8]. References 1. S. L. Eddy and S. E. Brownell, “Beneath the numbers: A review of gender disparities in undergraduate education across science, technology, engineering, and math disciplines,” Phys. Rev. Phys. Educ. Res., vol. 12, no. 2, p. 020106, Aug. 2016, doi: 10.1103/PhysRevPhysEducRes.12.020106. 2. M. Bahnson, C. Cass, H. L. Perkins, M. A. Tsugawa-Nieves, and A. Kirn, “WIP: A Case for Disaggregating Demographic Data,” presented
] Available: https://www.texastribune.org/2021/07/26/texas-covid-19-delta/ (accessed Jan. 19, 2022).[2] S. Jaschik, “Delta variant raises questions for colleges about reopening plans,” Inside Higher Ed, 2021. [Online] Available: https://www.insidehighered.com/news/2021/08/16/delta-variant-raises- questions-colleges-about-reopening-plans (accessed Jan. 19, 2022).[3] C. Mooney and B. A. Becker, “Investigating the impact of the COVID-19 pandemic on computing students’ sense of belonging,” in 52nd ACM Technical Symposium on Computer Science Education, 2021, vol. 12, no. 2, pp. 38–45, doi: 10.1145/3463408.[4] M. Pownall, R. Harris, and P. Blundell-Birtill, “Supporting students during the transition to university in
Subaward Agreementwith the Louisiana Space Grant Consortium (LaSPACE).” References1. Radhwan, H., Shayfull, Z., Abdellah, A. E. H., Irfan, A. R., & Kamarudin, K. (2019). Optimization parameter effects on the strength of 3D-printing process using Taguchi method. In AIP Conference Proceedings (Vol. 2129, No. 1, p. 020154). AIP Publishing LLC.2. Oropallo, W., & Piegl, L. A. (2016). Ten challenges in 3D printing. Engineering with Computers, 32(1), 135-148.3. Prabhakar, M. M., Saravanan, A. K., Lenin, A. H., Mayandi, K., & Ramalingam, P. S. (2021). A short review on 3D printing methods, process parameters and materials. Materials Today: Proceedings, 45, 6108-6114.4. Chan
. Department of Education, National Center for Education Statistics. 3. Berkner, L., Horn, L., and Clune, M. (2000). Descriptive Summary of 1995–96 Beginning Postsecondary Students: Three Years Later (NCES 2000–154). U.S. Department of Education, NCES. Washington, DC: U.S. 4. Ross-Gordon, J. M. (2011). Research on adult learners: Supporting the needs of a student population that is no longer traditional. Peer Review, 13 (1), 26 – 29. 5. Choy, S. (2002). Nontraditional Undergraduates (NCES 2002-012). National Center for Education Statistics, U.S. Department of Education. Washington, DC. 6. Goncalves, S. A., & Trunk, D. (2014). Obstacles to success for the nontraditional student in higher education. Psi Chi Journal
Group.Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The big five personality traits, learning styles, and academic achievement. Personality and Individual Differences, 51(4), 472-477.Mapp, S. C. (2012). Effect of short-term study abroad programs on students' cultural adaptability. Journal of Social Work Education, 48(4), 727-737.Mezirow, J. (1991). Transformative dimensions of adult learning. San Francisco: Jossey-Bass.National Academy of Engineering of the National Academies [NAENA] (2020). The engineer of 2020: Visions of engineering in the new century. Retrieved from http://www.nae.edu/Programs/Education/Activities10374/Engineers of2020.aspx (01/12/2020)National Academics of Science, Engineering and
. Moore M., Binkerd C., Fant S, 2002, “Teaching web-based database application development: an inexpensive approach”, Journal of Computing in small colleges, 17(4), March 2002 5. Frontier Surveying, 710 Buffalo St. Suite 401, Corpus Christi, TX. Phone: (361) 881-8044; Pyle & Associates INC, 5262 S Staples St, Corpus Christi, TX. Phone: (361)993-4191; Maverick Engineering INC, 2000 SPID, Corpus Christi, TX. Phone: (361) 289-1385. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering EducationChandrika RaoDr. Rao is a visiting Assistant Professor of
-ton [23]. III. DEI S TUDENT A MBASSADOR P ROGRAM AT S EATTLE U NIVERSITY In this section, we first give background about our institution, followed by a summary of our previouswork. We then describe the organization and structure of the DEI Student Ambassadors program. Weconclude the section with details about the specific events and activities that the DEI Student Ambassadorsorganized.A. Seattle Unviersity Seattle University is a small, private, religiously-affiliated and mission-driven institution located inSeattle, WA. Our urban campus is home to eight colleges and schools. One of them is the College ofScience and Engineering (CSE) which hosts eight departments. CSE is in the midst of a multi-yearproject to develop programs
search criteria. The phrase “engineer” was used as the primary searchcriteria because the results would return articles containing “engineering” as well. The secondsearch criteria was to search “by Title”, under the assumption that title words are specificallychosen to indicate key topics and ideas within an article. Whereas a search of abstracts wouldreturn articles with engineering as an axillary topic (e.g. if the article references STEMdisciplines). The third search criteria was to look from 2009 to 2019, in order to get a sense ofcurrent issues or topics of interest. The following information of each article was recorded into aspreadsheet: journal name, author(s), article title, publication year, & abstract. Journals thatreturned zero
the format they taught in prior to the pandemic. Therefore, buy-in from faculty as wellas the provision of necessary training and resources is critical to achieve positive teaching andlearning experiences for faculty and students, respectively. Further studies are needed toinvestigate innovative and effective hybrid modes of delivery that result in high levels of studentengagement, satisfaction, and performance.References[1] S. M. Kissler, C. Tedijanto, E. Goldstein, Y. H. Grad, and M. Lipsitch, "Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period," Science, vol. 368, no. 6493, pp. 860-868, 2020.[2] R. Watermeyer, T. Crick, C. Knight, and J. Goodall, "COVID-19 and digital disruption in UK
, “Transformation in the U.S. Higher Education System: Implications for Racial Equity,” presented at the Symposium on Imagining the Future of Undergraduate STEM Education, Oct. 2020.[17] K. DeGood, A. Cassady, K. Walter, and R. Frederick, “Building Progressive Infrastructure,” Center for American Progress. https://www.americanprogress.org/issues/economy/reports/2019/01/31/465687/building-pro gressive-infrastructure/ (accessed Jan. 23, 2021).[18] D. S. Hurwitz, K. L. Sanford Bernhardt, R. E. Turochy, and R. K. Young, “Transportation Engineering Curriculum: Analytic Review of the Literature,” Journal of Professional Issues in Engineering Education & Practice, vol. 142, no. 3, pp. 1–10, Jul. 2016, doi
Postdoctoral Fellow in the Department of Biomedical Engineering at Case Western Reserve University, working in the Motion Study Laboratory at the Advanced Platform Technology Center (Louis Stokes Cleveland Veterans Affairs Medical Center). There, she developed and evaluated control systems to restore standing balance after paralysis, explored experimental biomechanical and computational modeling techniques to investigate interactions between the upper extremities and walkers during static and quasi-static standing postures, and investigated the feasibility of neural stimulation to facilitate assisted transfers after paralysis. She received her Ph. D. and M. S. in Biomedical Engineering from New Jersey Institute of Technology
engineering problems but also how to lead others in the organizations. In sum,the potential to advance knowledge from this research is evident in the applicability ofengineering leadership development for both men and women engineering students.References[1] Block, K., Gonzalez, A. M., Schmader, T., & Baron, A. S. (2018). Early gender differencesin core values predict anticipated family versus career orientation. Psychological Science, 29(9),1540-1547.[2] Hill, C., Miller, K., Benson, K., & Handley, G. (2016). Barriers and Bias: The Status ofWomen in Leadership. American Association of University Women.[3] Skervin, A. E. (2015). Success factors for women of color information technology leaders incorporate America (Doctoral dissertation
table. Table 3: A small excerpt of the data collected from Trial 2.After we recorded the data for each trial, we plotted the total energy generated over time for Trial1 and Trial 2 shown in Figures 13a and 13b, respectively. The first trial generated 7.23 mJ over aflow time of 60 seconds, while the second trial generated 7.29 mJ over the same amount of time,resulting in an overall average energy generation of 7.26 mJ between the two trials. Figure 13a: Graph of Total Energy (mJ) vs. Time (s) for first sink trial Figure 13b: Graph of Total Energy (mJ) vs. Time (s) for second sink trialWe also created plots of the voltage, current, and power over time for each of the two trials. It isimportant to
science of learning and development. Applied Developmental Science, 24(2), 97-140.[3] Nasir, N. S., Lee, C. D., Pea, R., & Royston, M. M. (2021). Rethinking Learning: What the Interdisciplinary Science Tells Us. Educational Researcher, 50(8), 557-565.[4] Bean, J. C. (2011). Engaging ideas: The professor's guide to integrating writing, critical thinking, and active learning in the classroom. John Wiley & Sons.[5] Bonwell, C. C., & Eison, J. A. (1991). Active Learning: Creating Excitement in the Classroom. 1991 ASHE-ERIC Higher Education Reports. ERIC Clearinghouse on Higher Education, The George Washington University, Washington, DC.[6] Creswell, J. W., Plano Clark, V. L., Gutmann, M. L., & Hanson,W. E
the purpose of obtaining a high-quality solution under the given circumstances. For illustrative purposes only, examples of possible constraints include accessibility, aesthetics, codes, constructability, cost, ergonomics, extensibility, functionality, interoperability, legal considerations, maintainability, manufacturability, marketability, policy, regulations, schedule, standards, sustainability, or usability [7]. • Produce (student action). Make something using creative or mental skills. Perhaps also, make or manufacture from components or raw materials [8]. • Solution(s) (concept). Means of addressing or solving a problem [8]. Or action or process of solving a problem [9]. Note, the
studentswith grades in the C or C+ range persisted to graduate in STEM. Wilkins et al.’s [18] modeldemonstrated that when controlling for students’ first mathematics course, on average, the gradein their first course is a statistically significant predictor of persistence to graduation inengineering. Krause et al. [1] also found that students who made an A or B in their firstmathematics course had odds 6.5 times higher to persist than someone who received a D, F or W.Further, students receiving C grades in their first course did not differ statistically in terms ofpersistence from those making a D, F or W.Tyson [17] considered high school and college physics and calculus course-taking andachievement to predict engineering degree attainment for
(Evaluation) Anni Reinking1 and Monica M. McGill2 1,2 CSEdResearch.org 1 anni@csedresearch.org, 2 monica@csedresearch.org Abstract According to the U.S. Department of Labor, cybersecurity jobs will grow 28% over the next few years, with 1.8 million of these jobs unfilled in 2022. These reports indicate a great need for individuals to be trained and employed in cybersecurity for the U.S.’s safety and security. Recognizing this, the Air Force Junior Reserve Officer Training Corps (AF JROTC) and partner organizations implemented a Cyber
, throughout their career architectsseek approval of their designs during critiques, while civil engineers have concrete indicatorsthat let them know if a design works or not with no personal involvement. Additionally, thisfinding may also suggest that architecture students value hierarchies more because theyseek to rank themselves higher, since their work I s more explicit to the public eye.This acceptance and disapproval of hierarchies may lead to communication-related barriers. Inpractice, architects are at the top of the project hierarchy due to being the design creators. So, itmay be difficult for them to accept criticism from civil engineers who are revising the structuraland system-related components of the infrastructure. At the same time
." New directions for adult and continuing education 94 (2002): 3-11. 8. J. L. David, "Collaborative Inquiry." Educational Leadership 66.4 (2009): 87-88.9. B. Thorsten, D. Urhahne, S. Schanze, and R. Ploetzner, “Collaborative Inquiry Learning: Models, Tools, and Challenges.” International Journal of Science Education, 2010, 32 (03), pp.349-377.10. K. J. Dooley, "A complex adaptive systems model of organization change." Nonlinear dynamics, psychology, and life sciences 1.1 (1997): 69-97.11. S. Chan, "Complex adaptive systems." ESD. 83 research seminar in engineering systems. Vol. 31. Cambridge, MA, USA: MIT, 2001.12. D. J. Snowden and M. E. Boone, "A leader's framework for decision making." Harvard business review 85.11
about thespeaker’s education and career pathways, and their experiences in data science.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2123260. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This project has received funding from the Alfred P. Sloan Foundation under grantnumber G-2021-16976.References[1] K. Domdouzis, P. Lake, and P. Crowther, “Big Data,” in Concise Guide to Databases: A Practical Introduction, K. Domdouzis, P. Lake, and P. Crowther, Eds. Cham: Springer International Publishing, 2021, pp. 141–163. doi: 10.1007/978-3-030
emeritusprofessor (n=2). Participants were not asked to identify their race/ethnicity during the interview.The participants were assigned a pseudonym using a random name generator to maintainconfidentiality.Table 1: Participant information Pseudonym Gender Course(s) Taught that Included Ethics/Societal Impacts Beth Woman Intro to engineering Brody Man Intro to engineering Deb Woman Intro to computer engineering Kim Woman Senior design (chemical engineering) Bill Man Senior design (electrical engineering) Elizabeth Woman Senior design (environmental engineering) Aaron Man Senior design (chemical engineering) Dan Man
tertiary teaching," Higher education research and development, 8(1), 7-25. 1989. 7. N. Entwistle and S. Waterston. "Approaches to studying and levels of processing in university students," British journal of educational psychology, 58(3), 258-265. 1989. 8. M. Prosser and R. Millar. "The “how” and “what” of learning physics," European journal of Psychology of Education, 4(4), 513-528. 1989. 9. P. Ramsden. Learning to teach in higher education. Routledge. 2003. 10. E. J. van Rossum, and S. M. Schenk. "The relationship between learning conception, study strategy and learning outcome," British Journal of Educational Psychology, 54(1), 73-83. 1984. 11. T. F. Nelson Laird, R. Shoup, and G. D. Kuh. "Measuring deep
–369, 2014.[3] S. Goldrick-Rab, Paying the Price: College Costs, Financial Aid, and the Betrayal of the American Dream. Chicago, IL, UNITED STATES: University of Chicago Press, 2016. Accessed: Mar. 25, 2020. [Online]. Available: http://ebookcentral.proquest.com/lib/vt/detail.action?docID=4519377[4] G. T. Henry, R. Rubenstein, and D. T. Bugler, “Is HOPE Enough? Impacts of Receiving and Losing Merit-Based Financial Aid,” Educ. Policy, vol. 18, no. 5, pp. 686–709, Nov. 2004, doi: 10.1177/0895904804269098.[5] B. L. Castleman, B. T. Long, and Z. A. Mabel, Financial Barriers to STEM Study in College: Causal Effect Estimates of Need-Based Grants on the Pursuit and Completion of Courses and Degrees in STEM Fields. Society for
effect ofinclusive teaching strategies on neurodivergent learners versus all learners across I-Courses.AcknowledgementsThis material is based upon work supported by the National Science Foundation underIUSE/PFE: RED Grant No. 1920761. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation. References[1] J. Singer, "Odd People in: The Birth of Community Amongst People on the Autistic Spectrum. A Personal Exploration Based on Neurological Diversity." , University of Technology, Sydney, 1998.[2] H. A. White and P. Shah, "Creative style and achievement in adults with
effectiveness of the Assistants too.References[1] Lavilles, R.Q., and Arcilla, M. J. B., Enrollment forecasting for school management system,”International Journal of Modeling and Optimization, vol. 2, no. 5, p. 563, 2012.[2] Al-Shehri, H., Al-Qarni, A., Al-Saati, L., Batoaq, A., Badukhen, H., Alrashed, S., Alhiyafi, J.,and Olatunji,S.O. “Student performance prediction using support vector machine and k-nearestneighbor,” in 2017 IEEE 30th Canadian conference on electrical and computer engineering(CCECE). IEEE, 2017, pp. 1–4.[3] Slim, A., Hush, D., Ojah, T., and Babbitt, T. “Predicting student enrollment based on studentand college characteristics.” International Educational Data Mining Society, 2018.[4] Yang, S., Chen, H.-C., Chen, W.-C and C.-H. Yang
detailed report of theadjustments made to ERSP at UIC.AcknowledgementsThe adoption of ERSP at UIC was enabled by a larger project supported by an NSF Grant(#1821501). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] M. Barrow, S. Thomas, and C. Alvarado, “Ersp: A structured cs research program for early- college students,” in Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016, pp. 148–153.[2] n.d., “ERSP | Instructor resources.” [Online]. Available: http://ersp.ucsd.edu/index.php/instructor-resources/. [Accessed: 28-Jan-2020].
orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References 1. T.S. Popkewitz and L. Fendler, Critical Theories in Education: Changing Terrains of Knowledge and Politics. Psychology Press, 1999. 2. P. Layne, “Diversity by Numbers,” Leadership and Management in Engineering, vol 1 ed. (4), pp. 65-71. Oct, 2001. 3. B.M. Ferdman, “The practice of inclusion in diverse organizations,” in Diversity at work: The practice of inclusion, B. Ferdman and B. R. Deane, Ed. New York: Wiley 2014, pp 3-54. 4. R. Jost, Benchmarks for Cultural Change in Engineering Education. University of Newcastle, 2004. 5. T. Forin, B. Sukumaran, S. Farrell