undergraduate students. Current graduate students: • Yanshu Li, from F’2012, GRA, Ph.D. Student, SUNY at Buffalo, Buf- falo, NY. • Tim Yore, from S’2011, GRA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY. • Guillaume Thomain, S’2011, GTA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY Total number of graduate students advised = 22. Total number of postdoctoral scholars sponsored = 11.Prof. Athos Chariton Petrou, SUBY at Buffalo Athos Petrou is a professor of Physics at SUNY Buffalo. His studies the magneto-optical properties of semiconductor nanostructures Page 24.659.1 c American Society for
anticipates testing these advancements in future endeavorsthrough a subsequent research study.5. References[1] J. H. Mathewson, “Visual-Spatial Thinking: An Aspect of Science Overlooked by Educators,” Sci. Educ., vol. 83, no. 1, pp. 1098–237, 1999, doi: 10.1002/(SICI)1098- 237X(199901)83:1.[2] G. Duffy, S. Sorby, and B. Bowe, “An investigation of the role of spatial ability in representing and solving word problems among engineering students,” J. Eng. Educ., vol. 109, no. 3, pp. 424–442, Jul. 2020, doi: 10.1002/JEE.20349.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cogn. Sci., vol. 31, no. 4, pp. 549–579, Jul. 2007, doi: 10.1080/15326900701399897.[4
Education, 2024 PALAR IN PIECES: AN INFORMAL FRAMEWORK TO ENCOURAGE MULTIFACETED ENGAGEMENT J. Rush Leeker, L. MacDonald, S. Roudbari, L. Ruane, M. Palomar INTRODUCTION PROJECT DESCRIPTION 2 Action Learning (AL): METHODOLOGY Centers on a 'learning by
and retention. A SWE and ASEE Fellow, she is a frequent speaker on career opportunities and diversity in engineering. Page 24.1275.1 c American Society for Engineering Education, 2014 Transfer Students: Lessons Learned Over 10 YearsAbstract.This paper will summarize the accomplishments of an NSF sponsored S-STEM program fortransfer students. This program had 97 students: 41.2% underrepresented minority, 28.9%female, and 60.8% either female and/or underrepresented minority. Therefore, this programoverrepresented minority engineering and computer science students in the university by
each student population.ReferencesAdelman, C. (1998), Females and Men of the Engineering Path. A Model for Analysts of Undergraduate Careers, U.S. Department of Education, Office of Educational Research and Improvement, Washington, D.C.; U.S. Government Printing Office.Bransford, J., A. Brown, and R. Cocking (Eds) (2000), How People Learn: Brain, Mind, Experience, and School: Expanded EditionBrown, S., L Flick, and T. Fiez (2009), “An Investigation of the Presence and Development of Social Capital in an Electrical Engineering Laboratory”, Journal of Engineering Education, 98(1). 93-102.Bordonaro, M., A. Borg, G. Campbell, B. Clewell, M. Duncan, J. Johnson, K. Johnson, R. Matthews, G. May, E. Mendoza, J. Sideman, S. Winters, and C
distribution (both standard deviation and range) ofconscientiousness had positive correlation while the min conscientiousness had negativecorrelation with both novelty and complexity measures of the CPSS evaluation. Agreeablenessand neuroticism had a positive correlation with DQR measures. A plausible causal mechanism isthat agreeableness would improve team collaboration and thereby design team outcome.Interestingly, neuroticism showed a positive correlation with the DQR framework in both theteam maximum and the interval/standard deviation. This implies that having a team member withhigh neuroticism is a positive factor, but it is also beneficial to balance that with team member(s)with lower neuroticism scores. Intellect was found to have
onReflections. Some quotes on the personal impact of filling in Meta Reflection on Reflections areshown below. Some quotes include:Wrap-up on Points of Interest: Across a semester what was the impact of Interest Points on your attitude & interest?"Relating things to my daily life helps me to retain info better"Wrap-up on Muddiest Points:Did your responses to Muddiest Points help you identify your issues on content andconcepts?"The muddiest point helped me realize what I may not be aware of"Did discussing Muddy Point(s) at the start of next class help your understanding (or not)?"Questions other people asked helped because, many times they were questions I didn't think toask"Wrap-up on Learning Points: Did your responses on Learning Points help you
and Mentoring (iAM) Program to Promote Access to STEM ProfessionsBackgroundThe Integrated Achievement and Mentoring (iAM) Program at Hofstra University (HU) respondsto the challenge of retaining a diverse STEM student population [1]. This achievement-focusedprogram provides students early access to the hidden curriculum and contextualizes supportservices in a model that is inclusive, promotes belonging, and develops student identity locally inthe STEM community and globally as part of the University community. This is an NSFScholarships in STEM (S-STEM) Track 3 (multi-institution)-funded Program built on thetheoretical framework of legitimate peripheral participation with an emphasis on inclusivity,community, and belonging
more educators aboutour curriculum in an attempt to achieve wider adoption of CS Frontiers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants1949472, 1949492, and 1949488. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] B. Broll, Á. Lédeczi, G. Stein, D. Jean, C. Brady, S. Grover, V. Cateté and T. Barnes, "Removing the Walls Around Visual Educational Programming Environments," in Proceeding of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), St. Louis, Missouri, 2021.[2] L. Alvarez, I. Gransbury
workshops(e.g., NETI, ASEE section meetings, the ASEE National meeting, CW workshops), and haverecruited six participants in our Action Research Fellows program. By studying the context inwhich instructors adopt and utilize the CW, we will be able to provide recommendations forencouraging use of the CW and of other pedagogical innovations.AcknowledgmentsWe acknowledge the support from National Science Foundation (NSF) through grants DUE1821439, 1821445, 1821638, 1820888, and 1821603. Any opinions, findings, and conclusions orrecommendations expressed are those of the authors and do not necessarily reflect the views ofthe NSF.References[1] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, and M. P. Wenderoth, “Active
important. You are required to use data sets to find correlationsbetween independent and dependent variables and trends including identifying outliers.” Anotheraerospace engineer described how “We use a lot of relationship analysis - sequential, regression,year over year(s) and yes, there are a lot of cross-relationships.” We were surprised by thesestatements that described an ability to analyze data, given that the bulk of the College Algebracourse involves learning how to use and manipulate these formal expressions, learning skills likefactoring, simplifying, solving, and interpreting parameters. We also found that these trends forengineers followed trends we saw in our larger sample where we interviewed professionals fromacross STEM fields.This
- Flexible Manufacturing (Grouping 06) by Country (YTD DECEMBER 2015) - Monthly and Cumulative Data (in Millions US $). Available online at: http://www.census.gov/foreign- trade/statistics/product/atp/2015/12/atpctry/atpg06.html (last accessed in July 2016).[2] U.S. Census Bureau. U.S. Trade in Advanced Technology Products - Flexible Manufacturing (Grouping 06) by Country (YTD DECEMBER 2014) - Monthly and Cumulative Data (in Millions US $). Available online at: http://www.census.gov/foreign- trade/statistics/product/atp/2014/12/atpctry/atpg06.html (last accessed in July 2016).[3] Hsieh, S. "Skill Sets Needed for Industrial Automation Careers" 2016 ASEE Annual Conference, June 26-29, New Orleans, LA.[4] Ren C. Luo, Wei
1734834. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We also wish to thank Mr. William Michael Anderson and Ms. ClaudiaDesimone for help with data collection.References[1] S. Byun, J. L. Meece, M. J. Irvin, and B. C. Hutchins, “The role of social capital in educational aspirations of rural youth,” Rural Sociology, vol. 77, no. 3, pp. 355–379, 2012.[2] C. Carrico, H. M. Matusovich, and M. C. Paretti, "A qualitative analysis of career choice pathways of college-oriented rural central Appalachian high school students," Journal of Career Development, 2017.[3] Carrico, C.A., “Voices in the
), 1175-1184. doi:10.1037/0003-066X.44.9.1175[5] Brainard, S. G., & Carlin, L. (2013). A Six-Year Longitudinal Study of Undergraduate Women in Engineering and Science*. Journal of Engineering Education, 87(4), 369-375. doi:10.1002/j.2168-9830.1998.tb00367.x[6] Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.[7] Estrada, M., Woodcock, A., Hernandez, P. R., & Schultz, P. W. (2011). Toward a model of social influence that explains minority student integration into the scientific community. Journal of Educational Psychology, 103(1), 206-222. doi:10.1037/a0020743[8] Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A
. Bill Gates came up for his service to society to improve societal conditions (e.g. global health and Gates scholars for low income students). Parents Mother or Father who were the primary caretakers and serve as an example of strong work ethics, risk taking and success. Parent(s) that took risks, such as immigrating to US to begin a career or seek a better life, starting their own business. Parent(s) that worked hard to endure economic hardship. Close Similar role model as a parent. They are role models of people that took risks Family such as starting their own business and were successful. Club Cub Scouts and Girl Scouts organization provided
., & Von Bergen, C. (2000). The One to One Survey: Traditional Versus Nontraditional Student Satisfaction With Professors during One to One Contacts. Caring, 37(30.10), 1-46.3 Rendon, L. I. (1994). Validating culturally diverse students: Toward a new model of learning and student development. Innovative higher education, 19(1), 33-51.4 Stewart, S. S., & Rue, P. (1983). Commuter students: Definition and distribution. New Directions for Student Services, 1983(24), 3-8.5 Kasworm, C. E., & Pike, G. R. (1994). Adult undergraduate students: Evaluating the appropriateness of a traditional model of academic performance. Research in Higher Education, 35(6), 689-710.6 Donaldson, J. F., &
of the future in student motivation. Educational Psychologist. Taylor & Francis. 34(2):113–25. 2. Markus H. & Nurius P. (1986). Possible selves. American Psychologist, 41(9), 954–969. doi:10.1037//0003-066X.41.9.954 3. Rebello, N. S., Zollman, D. A., Allbaugh, A. R., Engelhardt, P. V., Gray, K. E., Hrepic, Z., & Itza-Ortiz, S. F. (2004). Dynamic Transfer: A perspective from Physics Education Research. In Transfer of Learning from a Modern Multidisciplinary Perspective, Ed. Jose P. Mestre, Information Age Publishing, in series Current perspectives on cognition, learning and instruction, Series Editor: James M. Royer, University of Massachusetts, Amherst, MA. 4. Faber, C., A. Kirn, R. Hutchison
York, NY: The Berkley Publishing Group.5 Michaels, D. 2008. Doubt is Their Product: How Industry’s Assault on Science Threatens Your Health.New York, NY: Oxford University Press.6 Lerner, S. 2010. Sacrifice Zones: The Front Lines of Toxic Chemical Exposure in the United States.Cambridge, MA: The MIT Press.7 Steingraber, S. 2010. Living Downstream: An Ecologist’s Personal Investigation of Cancer and theEnvironment. Cambridge, MA: Da Capo Press.8 Makary, M. 2012. Unaccountable: What Hospitals Won’t Tell You and How Transparency CanRevolutionize Health Care. New York, NY: Bloomsbury Press.9 Downey, G. L. and J. C. Lucena. 2005. National Identities in Multinational Worlds: Engineers and‘Engineering Cultures.’ International Journal of
Paper ID #9564CAREER: A Study of How Engineering Students Approach InnovationDr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering Education at Purdue University. In 2011, she received a NSF CAREER award, which examines how engineering students approach innovation. She is also a NAE/CASEE New Faculty Fellow. Purzer conducts research on aspects of design education such as innovation and information literacy.Mr. Nicholas D. Fila, Purdue University, West Lafayette Nicholas D. Fila is a Ph.D. student in the School of Engineering Education at Purdue University
Page 25.1251.7delivery and teaching pedagogy. Evaluation results show positive learning experiences.Future work includes more pilot-testing in biomedical engineering courses.AcknowledgmentPartial support for this work was provided by the National Science Foundation's Course,Curriculum, and Laboratory Improvement (CCLI) program under Award No. 0837584. Anyopinions, findings, and conclusions or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Y. Guo, S. Zhang, H. Man, and A. Ritter, “A Case Study on Pill-Sized Robot in Gastro-Intestinal Tract to Teach Robot Programming and Navigation”, Proceedings of ASEE Annual Conference and
. We do so in a manner that forwardsmarginalized perspectives often absent from mainstream discourse. Ongoing research exploresstudents’ current perceptions of the field, supporting the development of curricula that arechallenging and impactful. This work offers opportunities for students to develop criticalconsciousness and realize the impact they can make on their own communities through a careerin aerospace engineering.References[1] J. R. Herkert, “Future directions in engineering ethics research: Microethics, macroethics and the role of professional societies,” Sci. Eng. Ethics, vol. 7, no. 3, p. 12, 2001.[2] S. Gössling and P. Upham, Climate Change and Aviation: Issues, Challenges and Solutions. Earthscan, 2009.[3] J
to a diverse large sample size of early-career engineers, contributingvaluable insights to the ongoing research.References 1. Brunhaver, S. R., Gilmartin, S. K., Grau, M. M., Sheppard, S., & Chen, H. L. (2013, June). Not all the same: A look at early career engineers employed in different sub- occupations. In 2013 ASEE Annual Conference & Exposition (pp. 23-930). 2. Klenk, M., Bjorklund, T., Gilmartin, S., & Sheppard, S. (2018, June). Early-career Engineers at the Workplace: Meaningful Highs, Lows, and Innovative Work Efforts. In Proceedings of the American Society for Engineering Education Annual Conference, June 24-27, 2018. Salt Lake City, Utah 3. Flening, E., Asplund, F., & Edin Grimheden, M
://dx.doi.org.ezproxy.rice.edu/10.1007/s10648-015-9355-x. [Accessed Jan. 15, 2024][3] W. S. Saeed Alawi, and M. M. Saeed Al-Mubarak, “Gender gap in science, technology, engineering, and mathematics (STEM): barriers and solutions,” International Journal of Economics and Financial Issues, vol. 9, no. 6, pp 225-231, 2019. [Online]. Available: http://ezproxy.rice.edu/login?url=https://www.proquest.com/scholarly-journals/gender- gap-science-technology-engineering/docview/2485440362/se-2?accountid=7064. [Accessed Jan. 20, 2024].[4] M. Martinez, F. Segura, J. M. Andujar, and Y. Ceada, “The gender gap in STEM careers: An inter-regional and transgenerational experimental study to identify the low presence of women,” Education Sciences
of interventions that continue this Freshman Year experience with Sophomore,Junior, and Senior Year Innovator Experiences, with an increasing portfolio of skills each year.AcknowledgementsThe authors express their gratitude to the participating instructors: Sandra Morrow, Erika Perez,and Michelle Alvarado, as well as the students involved in this project. Funding for this projectwas provided by NSF award 2225247.References[1] Brown, S. V. (1994) Under-represented minority women in science and engineering education. Princeton, NJ: Educational Testing Service, 1994.[2] A.A. Fuentes, S. Crown, R. Freeman, Human Bone Solid Mechanics Challenge Functionally Graded Material Structure with Complex Geometry Loading, AC 2001-2056, ASEE 2008
of data collection is from focus groups with research participants in thecurricular intervention which was conducted in fall 2023. Furthermore, the reflective memos andpre/post ISE survey data of fall 2023 from the participants need to be analyzed with regards tothe demographics to understand how they informed the innovation self-efficacy of theengineering students.AcknowledgmentsThis material is based in part on work supported by the National Science Foundation underAward No. 2205067. Any opinions, findings and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Dr. David Delaine provided valuable mentorship on qualitative
. More advanced applicationsfor the BeagleBone processor such as wireless communications using an Xbee are currentlybeing developed and tested.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2044255.References[1] C. Scaffidi and S. Distefano, "A Remotely Configurable Hardware/Software Architecture fora Distance IoT Lab," 2021 IEEE International Conference on Smart Computing(SMARTCOMP), Irvine, CA, USA, 2021, pp. 341-346.[2] M. Bharath, J. Indra and S. Kirubakaran, "Design and Development of Virtual LabEnvironment for Embedded System and IoT Applications," 2022 International Conference onInnovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES),Chennai, India
collaboratorson this project. This work also served to bring greater awareness to the specific problemidentified in few prior research studies of viewing transfer students through a deficit-basedperspective. The manuscripts resulting from Year 1 work and the emphasis of future work on thisproject will be to promote and disseminate an assets-based approach.AcknowledgmentThis material is based upon work support by the National Science Foundation under Grant No.EEC 2144213. References[1] F. S. Laanan, S. S. Starobin, and L. E. Eggleston, “Adjustment of Community College Students at a Four-Year University: Role and Relevance of Transfer Student Capital for Student Retention,” J. Coll. Stud. Retent. Res
reflect the views of the National Science Foundation.References[1] S. Gehrke and A. Kezar, “STEM Reform Outcomes Through Communities of Transformation,” Change: The Magazine of Higher Learning, vol. 48, no. 1, pp. 30–38, Jan. 2016, doi: 10.1080/00091383.2016.1121084.[2] A. Kezar, S. Gehrke, and S. Bernstein-Sierra, “Communities of transformation: Creating changes to deeply entrenched issues,” Journal of Higher Education, vol. 89, no. 6, pp. 832–864, 2018, doi: 10.1080/00221546.2018.1441108.[3] V. Svihla, S. C. Davis, and N. N. Kellam, “The TRIPLE Change Framework: Merging Theories of Intersectional Power, Learning, and Change to Enable Just, Equitable, Diverse, and Inclusive Engineering Education
Taskforces Concerning Critical Issues in US Undergraduate Education in the Sciences, Mathematics and Engineering (no. 3). National Science Foundation, 1989.[2] Y. Jia, T. Wang, C. Chen, and Y.-F. Jin, "Board 410: Tracing the Evolution of NSF REU Research Priorities and Trends," in 2024 ASEE Annual Conference & Exposition, 2024.[3] L. Martin-Hansen, "Examining ways to meaningfully support students in STEM," International Journal of STEM Education, vol. 5, no. 1, p. 53, 2018.[4] Y. Jin, C. Qian, and S. Ahmed, "Closing the Loop: A 10-year Follow-up Survey for Evaluation of an NSF REU Site," in ASEE Annual Conference and Exposition, Minneapolis, MN., 2022. [Online]. Available: https://peer.asee.org/41048
of the central roles of the designer in TD is to co-evolveboth the design space and the objective space by iteratively generating new design artifacts byarranging different combinations of variable parameters and testing their performance [5]. This iswhat we term Forward Design, which occurs when a (team of) human(s) leads the designprocess and objective-design space co-evolution by manually generating design artifacts in thedesign space and subsequently evaluating them in the objective space. However, design featuringgenerative AI-based tools, i.e., Generative Design (GD), requires the human designer to take aninverse approach to co-evolving the design and objective spaces. GD tools prompt the designerto begin by computationally defining