, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Prof. Michelle M. Camacho, University of San Diego Michelle M. Camacho is Professor of Sociology at the University of San Diego. She began her career at UC San Diego in 1999 as a postdoctoral fellow at the Center for US Mexican Studies, and later as a UC Faculty Fellow in Ethnic Studies. In 2015-16, she returned to UC San Diego as a fellow of the American c American Society for Engineering Education, 2019
, all variables were retained.Demographics were then inserted into simple linear regression models to understand how theydid or did not predict the five separate engagement variables (behavioral attention, effort, andparticipation; positive and negative emotional engagement). All demographic variables in theregression models were effect coded as summarized in Table 3. Table 3: Effect Coding of Independent Variables for Linear Regression Models Characteristic Variable Effect Coding Name(s) Race White White = -1; Asian = 1 Asian Asian
overwhelmingly enjoy this experience and that it effectively displays the direct, positiveimpact engineering can have on people. Future work includes developing the program to servemore engineering students, providing workshops for parents and families of children with specialneeds, and beginning partnerships to extend toy adaptation to other cities and universities.Additionally, we will continue to expand our data collection to evaluate the program morecompletely and its impact on our students and the community.AcknowledgementThis work is currently supported by the Battelle Engineering, Technology, and Human Affairs(BETHA) Endowment. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do
gain diminishing to its minimum value at the adjacent antenna’sboresight.Figure 6 depicts the matched antenna gain patterns with the incident radar signal added. Thisgives two different received powers: P1dBm at receiver 1 (connected to antenna 1), and P2dBm at Figure 6: Antenna pair with incident radar signalreceiver/antenna 2. Look carefully at Figure 6. Note that the difference between the tworeceived powers varies linearly with the angle off of boresight, from a maximum of AdB_BS at 0°(antenna 1’s boresight) to a minimum of 0 dB at 45°. (Beyond that the arrival angle is closer toantenna 2, so all of the following calculations would be reversed and worked with respect toantenna 2 instead of Antenna 1.) It is this
the Co-PI of an NSF Funded Step 1B program called COMPASS, a Co-PI of the NSF-funded S-STEM program at UCF entitled the ”Young Entrepreneur and Scholar(YES) Scholarship Program” as well as the NSF-funded STEP program entitled ”EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence.” Dr. Young’s interests are in improving student learning in mathematics and increasing success in STEM education.Dr. Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos received the Diploma in EE from the National Technical University in Athens, his MS degree and Ph.D. degree in EE from the University of Connecticut, Storrs, CT, in 1981, 1983 and 1986, respectively. He is currently a Professor in the
. Foroudastan, S. (Febuary 2010). Facilitating Cultural Diffusion through Collegiate Design Competition Teams.Proceedings of 4th Annual Conference of Tennessee Consortium for International Studies.2. Foroudastan, S. (2012). MTSU’s MSPS Program Bridges Gap Between Academia and the Scientific Industry.Proceedings of the 2012 Hawaii University International Conferences.3. Foroudastan, S. & Thompson, B. “Experimental Vehicles Program Research and Innovation Prepares Studentsfor Challenges of Tomorrow.” TIIJ (2013): 61-67.4. Professional Science Masters. “Professional Science Masters.” Retrieved November 10, 2014 fromhttp://www.sciencemasters.com
. Page 26.1091.3The Role of Building RelationshipsIn order to undertake challenging design and build projects with industry sponsors, a substantiallevel of trust must be established between the university and the sponsors. Such projects requirean understanding of the capabilities of the student teams on the part of the corporate sponsors, aswell as an understanding of the culture and expectations of their corporate partners by thestudents and faculty. This level of trust requires long term planning, development, and nurturing.The engineering programs as Grand Valley State University were launched at the request of localindustry in the 1980’s. The programs were designed by a team of faculty in collaboration withpracticing engineers from industry
Paper ID #12970Maker: Candy Crane RobotDr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his PH.D. from the City University of New York in 1995. He is currently the program director of a Mechatronics Project in the New York City College of Technology/CUNY. For the past 10 years, Dr. Zhang has been working on bringing mechatronics technology to the undergraduate en- gineering technology curricula and on helping high school students to learn mechatronics through FIRST Robotic Competition events.angran xiao, New York City College of Technology, City University of New York Angran Xiao is an
., Chakrabarti, A., and Bligh, T., 2003, “Towards an ‘ideal’ approach for concept generation,” Design Studies, 24(4), pp. 341–355.[9] Yilmaz, S., Daly, S. R., Jablokow, K. W., Silk, E. M., and Rosenberg, M., 2014, “Investigating impacts on the ideation flexibility of engineers.”[10] Kirton, M. J., 1976, “Adaptors and innovators: A description and measure,” Journal of Applied Psychology, 61(5), pp. 622–629.[11] Jablokow, K. W., and Kirton, M. J., 2009, Problem Solving, Creativity, and the Level-Style Distinction. In Perspectives on the Nature of Intellectual Styles (L.-F. Zhang and R. J. Sternberg, Eds.)., Springer, New York, NY.[12] Jablokow, K. W., 2008, “Developing problem solving leadership: a cognitive approach
enabled success, circumventing unsupportive advisors,combating isolation using peer networks, consciously demonstrating abilities to counteractdoubt, finding safe spaces for their whole selves, getting out to stay in STEM, remembering their Page 26.1582.2passion for science, and engaging in activism.” Note that navigating the system is also one ofthe three dimensions of becoming an engineer noted by Stevens et al6.While most of Ko et al.’s coping strategies primarily involve taking action, “remembering theirpassion for science” and “demonstrating abilities to counteract doubt” are primarily internalpsychological acts. In this paper, we build on
/4. Campbell, C., Senior Mechanical Engineer, iRobot, Email Correspondence, 20165. Chester, I. (2007). Teaching for CAD expertise, International Journal of Technology and Design Education, Volume 17, Issue 1, pp 23-356. Devine, K PhD., Illinois State University, Telephone Interview, 20167. Gaughran, W. F. (2002). Cognitive modeling for engineers, Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition.8. Harris, S., Co-Founder and VP of OnShape, Telephone Interview, 20169. Hinkle, K., Senior Designer, Senior Aerospace, Email Correspondence, 201610. Krish, S. (2011). A practical generative design method, Computer-Aided Design, Volume 43, Issue 1, pp 88- 10011. PTC. (2011
”, ICEE2011 - August 2011, Belfast, North Ireland, UK.5. Friesel,A., Avramides, K., Cojocaru, D.: “Identifying how PELARS-project can support the development of new curriculum structures in engineering education”, The Experimental International Conference 2015 (exp.at'15), June, 2015, University of Azores, Ponta Delgada, São Miguel Island, Azores, Portugal.6. Krumm, A.E.; Waddington, R.J.; Lonn, S.; Teasley, S.D. :” Increasing Academic Success in Undergraduate Engineering Education using Learning Analytics: A Design-Based Research Project”; Annual Meeting of the American Educational Research Association. Vancouver, BC, Canada, 2012-04 ; . http://hdl.handle.net/2027.42/1060327. Dragon, T., Mavrikis
a four-component model. Mis Quarterly , 30 (1), 167-180.Peterson, D. K. (2002). Computer ethics: the influence of guidelines and universal moralbeliefs. Information Technology & People , 15 (4), 346-361.Phukan, S. (2005). Using Information Technology Ethically: New Dimensions in the Age ofthe Internet. The Business Review, Cambridge , 4 (1), 234-239.Renwick, J. S., & Riemenschneider, C. K. (2013). A model of ethical decision making byinformation technology students. Journal of Computing Sciences in Colleges , 28 (5), 62-69.Riemenschneider, C. K., Leonard, L. N., & Manly, T. S. (2011). Students' Ethical Decision-Making in an Information Technology Context: A Theory of Planned Behavior Approach.Journal of Information Systems
seek to gather data from large sample sizes that provide strong evidence for possible trends.We recognize that our current methodology is not feasible for a larger-scale study implementedby course instructors nationwide, as it requires work on the part of the instructor. We aredeveloping standardized problems and an accompanying questionnaire that can be easilyintegrated as a homework problem in the appropriate course(s). We will use online datacollection, and point-of-collection consent, to minimize any work for the course instructor.To further support standardization, we will not be using previous simulation tools such asGMAT but rather are developing simulation tools that can be run on software commonly used byengineering students, such as
toengineering education because of the link between identity formation, critical for entry andretention into a discipline, and the lack of diversity in United States engineering: “undergraduateengineering education is dominated by [w]hite males. The majority of all bachelor degreesawarded in engineering are to [w]hite males”[4],[5]. Thinking about students’ meaningful writingexperiences as related to enagement may be a way to further examine engagement as a “precursorto persistence”[6].Defining meaningful writing is important to understand its distinction. In the Meaningful WritingProject, Eodice, Geller, & Lerner [3] define meaningful writing as Agentive: develop[s] a sense of agency about [students] as writers, learners, and thinkers
valuable in managing the teams and their learning experience during thecourse and later for reflecting on the efficacy of the learning activities and determiningwhere improvements may be needed. This method requires at least one member of aninstructional team or a single instructor to teach and evaluate the same course(s) for morethan a single iteration. A modified version could be employed if a researcher were engagedin the course observations and evaluations over time with different instructors. The efficacyof the latter model has not been tested.Both qualitative and quantitative data are collected while teaching the design courses,managing the teams, and their projects. The primary purpose of the data collected is studentlearning activities and
] K. E. Rambo-Hernandez, M. Jeremy, and C. Schwartz, “Examining the Effects of Equity, Inclusion, and Diversity Activities in First-Year Engineering Classes,” in American Society for Engineering Education Annual, 2019.[2] A. R. Daane, S. R. Decker, and V. Sawtelle, “Teaching About Racial Equity in Introductory Physics Courses,” Phys. Teach., vol. 55, no. 6, pp. 328–333, Sep. 2017.[3] ABET Engineering Accredidation Commission, “Criteria for Accrediting Engineering Programs, 2019 – 2020,” Baltimore, MD, 2018.[4] C. Corbett and C. Hill, Solving the equation : the variables for women’s success in engineering and computing. Washington, DC: AAUW, 2015.[5] E. Cech, B. Rubineau, S. Silbey, and C. Seron, “Professional
pedagogical approach based on learning from our first offering of the course.References[1] Lord, S. M., Mejia, J. A., Luckett, K., Wolmarans, N., and Mochekoane, N. “Decolonizing Engineering Education: Where do we start?,” Workshop presented at the 2019 Research on Engineering Education Symposium (REES), Cape Town, South Africa, July 11, 2019.[2] Lord, S. M., Mejia, J. A., Chen, D. A., and Hoople, G. D., “Starting a Dialogue on Decolonizing Engineering Education,” Special Session presented at the 2019 Frontiers in Education (FIE), Cincinnati, OH, October 18, 2019.[3] Nelson, M., Hoople, G.D., Mejia, J., Chen, D.A., & Lord, S. (2020). “Work-in-Progress: What is Energy? Examining Engineering Students’ Conceptions of Energy”, in
: https://code.org/advocacy/state-facts/MS.pdf[3] R. M. Marra, M. Schuurman, C. Moore, and B. Bogue, “Women Engineering Students’ Self- Efficacy Beliefs – The Longitudinal Picture,” 2005.[4] V. White, S. Lee, L. Lineberry, D. Grimes, J. Ivy, “Illuminating the Computing Pathway for Girls in Mississippi,” ASEE Annual Conference & Exposition, Salt Lake City, UT, 2018.[5] A. Quade, “Development and validation of a computer science self-efficacy scale for CS0 courses and the group analysis of CS0 student self-efficacy,” Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing, Las Vegas, NV, USA, pp. 60-64, 2003. doi: 10.1109/ITCC.2003.1197500.[6] A. Bandura, “Self-Efficacy,” vol. 4, no. 1994
, “Training graduate teaching assistants in thegeosciences: Our practices vs. perceived needs,” Journal of Geoscience Education, vol. 67, no. 1,pp. 64–82, Feb. 2019.[2] M. D. Sundberg, J. E. Armstrong, and E. W. Wischusen, “A REAPPRAISAL OF THESTATUS OF Introductory Biology Laboratory Education in U.S. Colleges & Universities,” TheAmerican Biology Teacher, vol. 67, no. 9, pp. 525–529, 2005.[3] Z. Zhan and H. Mei, “Academic self-concept and social presence in face-to-face and onlinelearning: Perceptions and effects on students learning achievement and satisfaction acrossenvironments,” Computers & Education, vol. 69, pp. 131–138, 2013. [4] S. Saunders, and D.Kardia, Creating Inclusive College Classrooms. Center of Research on Learning and
andsocial identity development is Turner et al.’s [14] Self-Categorization Theory. This theoryexplicitly notes that, depending on a situation’s relative value to a person, one or both identitytypes will influence the person’s behavior. This is also the reigning difference between Tajfel’s[14] Social Identity Theory and Turner’s [18] Self-Categorization Theory; where the former“suggests a continuum of interpersonal versus intergroup behavior,” the latter “pronounces thatboth—social and personal identity processes—may be at work simultaneously” [15]. Self-Categorization notes that personal identity is the self-descriptions pertaining to one’s personalattributes and social identity is the self-descriptions pertaining to one’s membership of a
Effective & - Build connections with peers in the course via discussion. Enduring Advocacy - Provide feedback on course outline (first opportunity for co-creation). - Discussion on critical pedagogy as it pertains to the How We instructors’ advocacy framework, both as an example of Conceptualize what they will be asked to do (with a framework of their 2 Advocacy: choice) and to deepen their understanding of the current Frameworks & course’s guiding principles. Scholars - Opportunity to dive deeper into particular framework(s
medium through which to engage and motivate students[18-20], but for engineering education in particular, these types of video games often presentchallenges in terms of direct relevance to course subject matter [21].In May of 2023, the video game, “The Legend of Zelda: Tears of the Kingdom”, was released forthe Nintendo Switch and within three days, sold over 10 million units to become the fastest-selling Nintendo game of all time in the Americas [22]. In addition, the video game receivednear-universal acclaim, launching as the best-reviewed game of the year [23]. AlthoughNintendo’s “The Legend of Zelda” franchise has maintained its popularity since the 1980’s,“Tears of the Kingdom” marked a major departure from previous installments by
interested” and 7 “somewhatinterested.” Building on the comments from the participants, the organizers are working on nextsteps. More details are available in [3].AcknowledgementsThe authors acknowledge the support of NSF Grant EEC-2320088 in supporting this work. Weare grateful to all those who helped with organizing and the participants for their enthusiasticcontributions.References[1] Lord, S. M., R. A. Layton, and M. W. Ohland, “A Multi-institution Study of Student Demographics and Outcomes for Electrical and Computer Engineering Students in the U.S.A.,” IEEE Transactions on Education, vol. 58, no. 3, pp. 141-150, 2015. 10.1109/TE.2014.2344622[2] Louie, H., P. Singh, J. Urquizo, and M.-L. Tran, “A Workshop for Energy Access
opportunities, and specific interest inengineering and arts integration. Table 1 contains sample survey items from each section.Table 1. Needs Assessment Survey Item Samples Demographic Items What is your role in the education sector? How many years of teaching experience do you have? Which subject(s) or grade level(s) do you teach? (Select all that apply) What school district are you affiliated with? Professional Development Preferences When considering professional development offerings, which factors are most important to you? Please select and rank from among the following. · Cost of attendance · Content relevance · Timing · Modality · Continued support after professional development experience
funding this work,with special thanks to our mentors Cindy Anderson and Bayo Ogundipe. Thank you to WNEU’s Collegeof Engineering administrative staff, Patty Reiley, for tabulating data from the IRB-approved surveys.7. REFERENCES: [1] M. Rosen and H. Kishawy. "Sustainable Manufacturing and Design: Concepts, Practices and Needs" Sustainability 4, no. 2: 154-174, 2012. [2] Garetti, M. and Taisch, M. “Sustainable manufacturing: trends and research challenges”. Production planning & control, 23(2-3), 83-104, 2012. [3] Bello, A. S., Al-Ghouti, M. A., and Abu-Dieyeh, M. H. “Sustainable and long-term management of municipal solid waste: A review”. Bioresource Technology Reports, 18, 101067, 2022. [4
analytical understanding and is sufficient to supportrudimentary system design. With this immersive understanding, not only can early-stageundergraduate students but also community members (particularly from communities who mightone day host an energy facility) offer credible input to the design of the facility in question.Our longer-term objective, as described above, is to update the VR models both to make themcustomizable (as noted above) as well as to expand our library of VR models to include not onlynuclear but also other kinds of low carbon/clean energy systems.References[1] G. Hoelzle, “Nuclear Fuel Cycle Demographic Analysis,” University of Michigan, Internal Report, Mar. 2020.[2] M. Hossain, S. Leminen, and M. Westerlund, “A systematic
continue to identify new ways to address theunderrepresentation of women in engineering and STEM. No woman should have to choosebetween work and family. We can’t change the past, but as educators, employers, advocates, andfriends, we can impact the future, one career story at a time. Let’s partner together to helpwomen like Louise find a pathway back to engineering.References[1] C. Pantoja, “Women’s engineering career stories: Perspectives on leaving,” Doctoral dissertation, Purdue University Graduate School, 2022.[2] S. Hewlett, C, Luce, L. Servon, L. Sherbin, P. Shiller, E. Sosnovich, and K. Sumberg, “The Athena Factor: Reversing the Brain Drain in Science, Engineering, and Technology,” Boston, MA: Harvard Business Publishing
Paper ID #40703Adapting the Gender Based Analysis Plus (GBA+) to Engineering: A DigitalTool to Aid Inclusive DesignMiss Audrey Anne Blanchet, Universit´e de Sherbrooke Audrey Anne Blanchet (M.A e` s Art) holds a master’s degree in political science and pursued doctoral studies in political sociology. She is currently Coordinator of Equity, Diversity and Inclusion (EDI) at the Universit´e de Sherbrooke’s Faculty of Engineering, and Co-President of the R´eseau interuniversit´e qu´eb´ecois en e´ quit´e, diversit´e et inclusion. Her expertise lies in the inclusion of women, cultural minori- ties, and youth (aged 18-35