Higher Education, 5(3),203-221.6 Rochin, R., & Mello, S. (2007). Latinos in science: Trends and opportunities. Journal of Hispanic HigherEducation, 6(4), 305–355.7 Stevens, R., O'Connor, K., Garrison, L., Jocuns, A., & Amos, D. M. (2008). Becoming an engineer: Toward athree dimensional view of engineering learning. Journal of Engineering Education, 97(3), 355-368.8 Stevens, R. O’Connor, K., & Garrison, L. (2005). Engineering student identities in the navigation of theundergraduate curriculum. In Proceedings of the 2005 American Society for Engineering Education AnnualConference. Portland, OR: ASEE.9 Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students’ identities, participation, andaspirations in
Society for Engineering Education, 2008.3. Brown C., Johnson M., Lax J., “Educational Classroom Technology: What Works Best in the Engineering Context”, 2007, 37th ASEE/IEEE Frontiers in Education Conference, Session S4J.4. Grady, H., and Codone, S., " From chalkboard to PowerPoint to the web: A continuum of technology," 2004 International Professional Communication Conference, pp. 217-222.5. Colegrove, Patrick. "Making It Real: 3D Printing as a Library Service." Why IT Matters to Higher Education: EDUCASE Review. EDUCASE, 27 Oct. 2014. Web. 18 Mar. 2016. .6. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 Higher
department’s role inpreparing physics teachers: The Colorado learning assistant model." American Journal ofPhysics 78.11 (2010): 1218-1224. 2 Reckinger, S. M, Reckinger, S. J., “An Interactive Programming Course Model for MechanicalEngineering Students”, Proceedings of the American Society of Engineering Education AnnualConference, Indianapolis, IN, June 15-18, 2014. URL:http://www.asee.org
tr e S d o M Preference Figure 3: Distribution of the learning styles for female students in ENGG 349.same as the male students. However, the data suggests that 10% more of the males are active andvisual learners than are the females. In a comparative study of engineering students, a verysimilar trend in the differences in learning styles between male and female
- Predictor Variables Model 4: Overall Satisfaction in the Classroom (y) Predictor Predictor Description x Instructor Interaction and Feedback t Classroom Environment z Modes of InstructionOrdinal Logistic Regression as a Modeling TechniqueOrdinal logistic regression models are a specific extension of multiple regression models, whichuse many predictor variables that have an effect on the dependent variable. These models areused to explain an ordinal dependent variable given one or more independent variable(s).25Specifically, this model was chosen because the
reflect the views of the National ScienceFoundation.References1. Swail, W.S., Redd, K.E., & Perna, L.W. (2003). Retaining minority students in higher education: A framework for success. ASHE-ERIC Higher Education Report, Adrianna J. Kezar, Series Editor, 30, 2. San Francisco, CA: Jossey-Bass.2. Bairaktarova, D., Reyes, M., Nassr, N., & Carlton D.T. (2015). “Spatial Skills Development of Engineering Students: Identifying Instructional Tools to Incorporate into Existing Curricula,” Proceedings of the 2015 American Society for Engineering Education Annual Conference & Exposition, Seattle, WA, June 14-17, 2015. USA: American Society of Engineering Education.3. Metz, S., Sorby, S., Reap, J., Berry, T., &
of the 3D printing model via a website using webcams. In addition,students should be able to print their own design using standard or alternative plastic materials withspecific attributes such as flexibility, transparency, electrical conductivity or any other material thatis compatible with the printer. Of utmost importance, this model has to be able to be escalated to acampus-wide system to allow access to the entire student body.IntroductionThe earliest 3D printing technology was developed in the late 1980’s and was referred to as rapidprototyping technology. The idea of rapid prototyping came to be from the need for quicker andcost-efficient design testing for product development within the manufacturing industry. It wasn’tuntil 2009
, Susan; Wiens, Gloria J.; Kazerounian, Kazem; Allen, Janet Katherine; and Jacobson, Kathy. Broadening Participation: A Report on a Series of Workshops Aimed at Building Community and Increasing the Number of Women and Minorities in Engineering Design, .Mechanical Engineering Conference Presentations, Papers, and Proceedings 2013, Paper 11.3. Williams, W. M. & Ceci, S. J. National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proceedings of the National Academy of Sciences 112, 5360-5365, doi:10.1073/pnas.1418878112 (2015).4. Hager, M. A., Engagement Motivations in Professional Associations. Non-Profit and Voluntary Sector Quarterly, Vol 43 (2S), Pg. 39S-60S (2013).5. Parker, M., Welch
. The non-profit team providedgrant management and oversight for the colleges’ funded STEM programs, requiring quarterlyreporting of their financial expenditures and budget balances, progress against their proposedtimelines, and narratives describing program status, outcomes, and challenges. The SFAz PIresponded to these reports with emails, phone calls and site visits when appropriate, providingongoing support and guidance to the college PIs to ensure their program’s success.STEM Metrics Development ApproachFrom its onset, the SFAz+8 program was designed to generate evidence to validate achievementof the program goals. Objectivity was ensured through the use of an external evaluator. Eachprogram goal had associated measurable outcome(s) and
carrying out a nearest-neighbor decision rule. The metric vector is a subset of 2 componentsof the normalized spectral energy vector E x ⁄ E s with E x components given by f(k + 1) 2 Ex ( k ) = f ( k ) X ( f ) df (1)where k = 1, 2, 3, 4, 5, 6 . The integral limits are defined by the frequency band vector f = [ 501, 708, 1000, 1413, 1995, 2818, 3981 ] (2)which defines f ( 1 ) through f ( 7 ) . The energy
. Shirley Ann Jackson [4] noted that “[s]ince that time, there has beencontinuing concern that engineering education does not sufficiently incorporate liberal studies…As engineering and the technological revolution continue to transform our world, we must assurethat those who steer these changes understand the totality of the human condition, and that bringsus back to the liberal arts.” The chorus of calls for change has included soul-searching reportssuch as that by Grinter (1955) [5], which was soon overwhelmed by the urgency of Sputnik andthe Space Race insisting on the primacy of purely technical competence, and Olmsted [6].Olmsted’s 1968 ASEE Report Liberal Learning for the Engineer praised a few exemplarystudent-driven, socially
Smith from the Lerner College of Business and Economics forpartnering with us on this exciting project and for instructing the UD ADVANCE Women’s LeadershipProgram.References[1] ACE, “Pipelines, Pathways, and Institutional Leadership: An Update on the Status of Women in Higher Education,” American Council on Education, 2017. Available: https://www.acenet.edu/news- room/Documents/Higher-Ed-Spotlight-Pipelines-Pathways-and-Institutional-Leadership-Status-of- Women.pdf. [Accessed 29 November, 2018].[2] C. Bilen-Green, K. Froelich, S. Jacobson, “The Prevalence of Women in Academic Leadership Positions, and Potential Impact on Prevalence of Women in the Professorial Ranks,” WEPAN Conference Proceedings, 2008.[3] C. Bilen-Green
Transnational Education: From the Perspective of Administrators and Students," British Council, 2017.[2] J. K. Y. C. Cedrick Kwuimy, "A first time flipped classroom experience: Measure of outcomes and challenges," in ASEE Proceedings, Southeast Section Conference, Columbus, Ohio, 2017.[3] S. H. P. B. L. D. G. Z. J. Jeongkyu Lee, "Toward Success of Collaborative Program In School of Engineering Between the US and China," in ASEE International Forum, New Orleans, LA, 2016.[4] S. I. Segalewitz, "Seven Years of Success in Implementation of a 3 + 1 Transfer Program in Engineering Technology Between Universities in China and the Unites States," in 120th ASEE Annual Conference & Exposition, Atlanta, GA, 2013
- Cost Brain Computer Interface TechnologiesAbstract:Advancing an interest and literacy in Science Technology Engineering and Mathematics (STEM)fields in high school students through summer and after school programs has been widelypopular since the 1990’s, and these programs are effective at improving retention and persistenceafter graduation. However, there still remains a lack of designing programs to increase interestand literacy of biomedical engineering (BME) related applications that are scalable at otherinstitutions. This is typically due to the challenges of providing costly resources that areavailable only in specific laboratory settings and require graduate level expertise to operate. Toprovide a low-cost and scalable approach to
design of the face to face workshops in 2019 were influenced by Techbridge Girls’ expertiseand bank of curricular resources, feedback provided in one-on-one interviews with the firstcohort of Ambassadors in 2018-2019, and EngineerGirl staff and evaluators’ impressions ofcohort 1’s struggles. For example, the difficulty one Ambassador had in securing space for anevent led to the recommendation to have a project management workshop for cohort 2. Table 2below highlights the list of workshop topics that were discussed during the 2019 event. Workshop Workshop Topic Component 1 Icebreakers 2 Gender Responsiveness
Semester(s) Taught (*to be taught) 1 Direct Potabilization Spring 2016, Spring 2017 2 Recover Value from Solid Waste Spring 2016, Spring 2017, Spring 2018 3 Discovering Green Chemistry Spring 2016 4 The Internet of Sustainability Fall 2016, Fall 2017 5 Data Analytics for Energy Fall 2016, Spring 2018 6 Modeling Complexity Fall 2016, Fall 2017, Spring 2019* 7 Deconstructing a Garbage Gyre Spring 2017 8 Environmental Impact in Automotive Systems
Demonstration in Hardware Oriented Security and Trust (HOST), 2016, Online: http://www.hostsymposium.org/host2016/hardware-demo-list_2016.php[3] A. Holst, J. Jang and S. Ghosh, "Investigation of magnetic field attacks on commercial Magneto-Resistive Random Access Memory," 2017 18th International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, 2017, pp. 155-160.[4] CSAW Embedded Security Challenge, https://www.csaw.io/esc[5] Berrett, Dan. "How ‘flipping’ the classroom can improve the traditional lecture." The chronicle of higher education 12 (2012): 1-14.[6] Furman, Burford J. "The un-lecture: a computer-assisted curriculum delivery approach for the effective teaching of mechanical design
of systems approaches on biological problems in drug discovery. Nature Biotechnology, 22:1215-1217.2. Emmert-Streib, F., S-D Zhang, and P. Hamilton. 2015. Computational cancer biology: education is a natural key to many locks. BMC Cancer, 15:7.3. Janes, K.A., P.L. Chandran, R.M. Ford, M.J. Lazzara, J.A. Papin, S.M. Peirce, J.J. Saucerman, and D.A. Lauffenburger. 2017. An engineering design approach to systems biology. Integrative Biology, 9(7):574-583.4. Dunn, M.C. and P.E. Bourne. 2017. Building the biomedical data science workforce. PLoS Biol., 15(7):e2003082. https://doi.org/10.1371/journal.pbio.20030825. Hood, L., R. Balling, and C. Auffray. 2012. Revolutionizing medicine in the 21st century through systems approaches
of these dimensions, are represented in their ecological model thatincludes a cognitive dimension within an interpersonal dimension, within a broadersocietal/cultural dimension.Our team’s larger study builds uponthe work of these researchers whohave characterized different elementsof systems thinking. We representour working definition of systemsthinking in Figure 1, where the“component” is in the center, whichrepresents a potential solution orsolutions to the engineering problembeing explored. The expandingcircles represent the contexts that canand should be considered in makingdecisions about the solution(s) andtheir appropriateness. Many times Figure 1: Elements of Systems Thinkingthis component is part of a largersystem, thus
and the City ofFreiburg im Breisgau for their help in facilitating the CREATE Germany program.6. References[1] L. Quitzow, W. Canzler, P. Grundmann, M. Leibenath, T. Moss, and T. Rave, "The German Energiewende–What's happening? Introducing the special issue," ed: Elsevier, 2016.[2] W. Fischer, J.-F. Hake, W. Kuckshinrichs, T. Schröder, and S. Venghaus, "German energy policy and the way to sustainability: Five controversial issues in the debate on the “Energiewende”," Energy, vol. 115, pp. 1580-1591, 2016.[3] L. Gailing and A. Röhring, "Germany’s Energiewende and the spatial reconfiguration of an energy system," in Conceptualizing Germany’s Energy Transition, ed: Springer, 2016, pp. 11-20.[4
Paper ID #43685Evaluating the Impact of a First-Year Engineering Course Re-design in Students’Sense of BelongingMr. Joseph McCusker, University at Buffalo, The State University of New York Joseph is an undergraduate student pursuing his B.S. in Biomedical Engineering at the University at Buffalo. He is also a teaching assistant for the first-year engineering course, Introduction to Engineering Principles.Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York Dr. Matilde S´anchez-Pe˜na is an assistant professor of Engineering Education at the University at Buffalo – SUNY where she leads the
,2008), here they were balanced. Communication barriers common in other HyFlex formats (Kohnke &Moorhouse, 2022) were also effectively minimized through instructor strategies and recording of sessions. Inconclusion, despite pandemic disruptions, the Interactive Synchronous HyFlex model showed potential forfacilitating connected and equitable learning experiences critical for unpredictable circumstances in highereducation.Study 2: Mohandas, L., Mentzer, N., Koehler, A., & Farrington, S. (2023). To Be Face-to-Face Today or toBe Remote Today: That is the Question. 2023 AERA Annual Meetings. https://doi.org/10.3102/2017564Building on the first study by reviewing data a year later, this study by Mohandas et al., examined students'perceptions
think I'm doing my best in doing so.While stress was mentioned as a concern, this is clearly juxtaposed with Malik’s willingness,even desire, to work strenuously for achievement in STEM if he were to choose that route. Henoted that he “really like[s] knowledge”, yet one can argue from the larger corpus of data that heis primarily interested in knowledge that leads to action.While Malik’s leadership aptitude was brought with him to the internship, the internshipcertainly foregrounded this dimension to his personality. On one occasion, I was talking withMalik and one other participant in the course of reviewing project progress. Malik referred to theother student as a “nerd”. At that point, I chose to ask Malik whether he himself identified as
Threat Effects on Performance.” Psychological Review 115 (2): 336–56. https://doi.org/10.1037/0033-295x.115.2.336.Thompson Jr, Edward H., and Joseph H. Pleck. "The structure of male role norms." American Behavioral Scientist 29, no. 5 (1986): 531-543.Vescio, Theresa K., and Nathaniel E. C. Schermerhorn. 2021. “Hegemonic Masculinity Predicts 2016 and 2020 Voting and Candidate Evaluations.” Proceedings of the National Academy of Sciences 118 (2): e2020589118. https://doi.org/10.1073/pnas.2020589118.Walton, G. M., Logel, C., Peach, J., Spencer, S, & Zanna, M. P. (Accepted pending minor revisions). Two brief interventions to mitigate a “chilly climate” transform women’s experience, relationships, and
is to determine whether or not the implementation of our new app willimprove rider experiences with the transit system. Additionally, the study would also look intoinsights on whether using SmartSAT app can increase the amount of people that took the publictransportation service.AcknowledgmentThis work is supported by the National Science Foundation under Grant No. 2131193. Any opinions,findings, conclusions, or recommendations expressed in this material are those of the author(s) anddo not necessarily reflect the views of the National Science Foundation.References[1] Transit Capacity and Quality of Service Manual-2nd Edition, http://onlinepubs.trb.org/onlinepubs/tcrp/docs/tcrp100/Part4.pdf.[2] Smartphone Applications To Influence Travel
institutecurriculum. A total of three institutes were held—in spring 2021, fall 2021, and spring 2022. Table 2: Curriculum of the ProQual Institute Week Topic(s) Covered 1 Community formation, social realities under investigation, pictorial systems mapping 2 Pictorial systems map refinement, scoping the social reality to investigate 3 Identifying appropriate theories, analyzing published qualitative research 4 Deep dive into the Q3 framework, aligning study design with forms of validation 5 Applying the Q3 framework to participant projects (small working group format) 6 Using methodologies, overview of common qualitative methodologies 7 Qualitative data analysis, analysis software, and coding practice 8 Wrap up
Bachelorˆa C™s and is working on her Master of Science in mechanical engineering. Her research focuses are on undergraduate engineRebecca Holcombe ©American Society for Engineering Education, 2024 Initial findings of engineering faculties’ perceptions of mastery assessment in a project-based engineering programAbstractThe purpose of this work in progress NSF grantees poster is to disseminate initial findings onfaculty perception of mastery-based assessment in a project-based engineering program.It is understood that pedagogical approaches influence more than what students learn but alsoimpact their mindsets, motivation, and how they see themselves as engineers. Mastery-basedlearning has seen
engineering self-concept outputs.AcknowledgementsThis study is part of the work that was supported by the National Science Foundation Grant #1915615, titled “Adapting an Experiment-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results andconclusion or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] R. M. Marra, K. A. Rodgers, D. Shen, and B. Bogue, “Women Engineering Students andSelf‐Efficacy: A Multi‐Year, Multi‐Institution Study of Women Engineering StudentSelf‐Efficacy,” J of Engineering Edu, vol. 98, no. 1, pp. 27–38, Jan. 2009, doi: 10.1002/j.2168-9830.2009.tb01003.x.[2
empathic design," Harvard Business Review, vol. 75, no. Nov.-Dec., pp. 102-113, 1997.[7] T. Mattelmäki, K. Vaajakallio, and I. Koskinen, "What happened to empathic design?," Design Issues, vol. 30, no. 1, pp. 67-77, 2014.[8] M. Shanks, “An introduction to design thinking: Process guide,” https://web.stanford.edu/~mshanks/MichaelShanks/files/509554.pdf, n.d., Accessed 1/29/2024.[9] C. E. Postma, E. Zwartkruis-Pelgrim, E. Daemen, and J. Du, "Challenges of doing empathic design: Experiences from industry," International Journal of Design, vol. 6, no. 1, pp. 59-70, 2012.[10] J. L. Hess, N. D. Fila, E. Kim, and S. Purzer, “Measuring empathy for users in engineering design,” International Journal of
Creativity, 41, 100888.[5] M. L. How, S. M. Cheah, Y. J. Chan, A. C. Khor, and E. M. P. Say, "Artificial Intelligence for Advancing Sustainable Development Goals (SDGs): An Inclusive Democratized Low-Code Approach," in The Ethics of Artificial Intelligence for the Sustainable Development Goals, pp. 145-165, Cham, Springer International Publishing, 2023.[6] J. Metrôlho, F. Ribeiro, P. Graça, A. Mourato, D. Figueiredo, and H. Vilarinho, "Aligning Software Engineering Teaching Strategies and Practices with Industrial Needs," Computation, vol. 10, p. 129, 2022.[7] Avishahar-Zeira and D. H. Lorenz, "Could No-Code Be Code? Toward a No-Code Programming Language for Citizen Developers," in Proceedings of the 2023 ACM SIGPLAN International