University. Page 26.1580.9Bibliography1. McKenna, A., McMartin, F. and Agogino, A., 2000, "What Students Say About Learning Physics, Math and Engineering," Proceedings - Frontiers in Education Conference, Vol. 1, T1F-9.2. Sathianathan, D., Tavener, S., Voss, K. Armentrout, S. Yaeger, P. and Marra, R., 1999, "Using Applied Engineering Problems in Calculus Classes to Promote Learning in Context and Teamwork," Proceedings - Frontiers in Education Conference, Vol. 2, 12d5-14.3. Barrow, D.L. and Fulling, S.A., 1998, "Using an Integrated Engineering Curriculum to Improve Freshman Calculus," Proceedings of the 1998 ASEE Conference
analysis, hydrologiceffects of human and natural changes, climate-hydrology teleconnections, and water-resourcemanagement scenarios. Open source web technologies and community-based tools are used tofacilitate wide dissemination and adaptation by diverse, independent institutions.AcknowledgmentThe authors acknowledge the support provided to this study by the National ScienceFoundation's Transforming Undergraduate Education in Science, Technology, Engineering andMathematics (TUES) program under Collaborative Award No. 1122898 (Type II).Bibliography1. Tarboton, D. G., J. S. Horsburgh, D. R. Maidment, T. Whiteaker, I. Zaslavsky, M. Piasecki, J. Goodall, D.Valentine and T. Whitenack, (2009), "Development of a Community Hydrologic Information
EngineeringSummer Undergraduate Research Program. We thank Dr. Richard Heiberger, Professor Emeritusof the Statistics Department at Temple University for his contribution in data analysis. We aregrateful to Dr. Brian Butz, Professor Emeritus of the ECE Department for his insightful remarkson the development of the framework.Bibliography1. C. Knight and S. DeWeerth, “A shared remote testing environment for engineering education,” in Frontiers in Education Conference, 1996. FIE ’96. 26th Annual Conference., Proceedings of, vol. 3, Salt Lake City, UT, USA, Nov 1996, pp. 1003–1006.2. Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: The National Academies Press, 2005.3. R. Adams, D
, Retaining and Graduating More Women in Computer Science and Math Abstract We report on the CS/M Scholars Program which is supported by an NSF S-STEM grant that began in 2011. The program aims to increase the number of women graduating with degrees in Computer Science or Mathematics. It is well known that women are under- represented in these fields nationally and this is also the case at our university. Our efforts include targeted recruitment of female high school students with a record of academic achievement and leadership potential. In addition to providing scholarships, student success is bolstered by required first-year seminars, early advising, and monthly events focused on professional
Education and Human Develop- ment at George Mason University, USA. She is an educational researcher and pedagogical scholar with signature work in self-study research methodology including co-editor of Polyvocal Professional Learn- ing through Self-Study Research (2015) and author of Self-Study Teacher Research (2011) and lead editor of Learning Communities In Practice (2008). She is recipient of the Dissertation Research Award, Uni- versity of Virginia, the Outstanding Scholar Award, University of Maryland, a Fulbright Scholar, and a Visiting Self-study Scholar. She served as chair of S-STEP from 2013-2015 and is a current Co-PI of two National Science Foundation (NSF) funded grants: Designing Teaching: Scaling up the
-based Learning Curriculum in Microelectronics Engineering”, 14th IEEEInternational Conference on Parallel and Distributes Systems, 2008[3] K. Smith, S. Sheppard, D. Johnson, and R. Johnson, “Pedagogies of Engagement: Classroom-Based Practices,”Journal of Engineering Education, Vol. 94, No. 1, 2005, pp. 87-102.[4] B. A. Karanian, L. G. Chedid, M. Lande, G. Monaghan, “Work in Progress - Behavioral Aspects of StudentEngineering Design Experiences” in Proceedings of the 38th ASEE/IEEE Frontiers in Education Conference, NY,October 22 – 25, 2008.[5] L. Cooper and D. A. Kotys-Schwarts, “Designing the Design Experience – Identifying the Factors of StudentMotivation in Project-based Learning and Project Service-based Learning”, in Proceedings of the
, velocity and acceleration profiles; examples using Excel 2.2. S-curve velocity profile derivation of kinematics formulas for position, velocity and acceleration profiles; examples using Excel and MATLAB 3 Multi-axis motion 3.1. Slew motion Uncoordinated motion of individual axes of a machine. Solved examples of motion profiles
, C.S., Del Vecchio, C.A., Kosteleski, A.J., Wilson, S.A., “Development of Problem Sets forK-12 and Engineering on Pharmaceutical Particulate Systems,” Chemical Engineering Education, 44, 50-57, 20102 McIver, K. Whitaker, K. DeDelva, V. Farrell, S. Savelski, M. J. Slater C. S. “Introductory Level Problems IllustratingConcepts in Pharmaceutical Technology,” Advances in Engineering Education, 5 (1) 20113 Otero Gephardt, Z. Farrell, S. Savelski, M.J. Slater, C.S. Rodgers, M. Kostetskyy, P. McIver, K. Diallo, H.Zienowicz, K. Giacomelli, J. DeDelva V. “Integration of Particle Technology with Pharmaceutical IndustryApplications in the Chemical Engineering Undergraduate Curriculum and K-12 Education,” Proceedings of the 2011American Society for
experiment server while still maintaininga secure level of communication. With this interface, no add-ons or plug-ins will need to beinstalled on any computer, and anyone with a web browser and internet access will be able to usethe interface to control an experiment remotely.AcknowledgmentsThis work is partially supported by the National Science Foundation under Grant Numbers EEC-0935208, EEC-0935008, and DUE-0942778.Any opinions, 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.Bibliography[1] Ambrose, S. A., & Amon , C. H. (1997). Systematic design of a first-year mechanical engineering course at Carnegie Mellon
Mashhadi, and J. R. Brown, “Broadening Dissemination Genres to Share Hidden Insight via Design Cases in Engineering Education Research,” in International Handbook of Engineering Education Research, 1st ed., New York: Routledge, 2023, pp. 617–637. doi: 10.4324/9781003287483-34.[2] V. Svihla, S. Davis, and N. Kellam, “The TRIPLE Change Framework: Merging Theories of Intersectional Power, Learning, and Change to Enable Just, Equitable, Diverse, and Inclusive Engineering Education,” Stud. Eng. Educ., vol. 4, no. 2, pp. 38–63, 2023, doi: https://doi.org/10.21061/see.87.[3] V. Svihla, S. Davis, and N. Kellam, “Tenurism, Rankism, Engineeringism, Ableism, Racism, Sexism, oh my! Building awareness of power and privilege on
©American Society for Engineering Education, 2024 A layered mentoring approach for engineering excellence.Abstract:The Alternative Pathways to Excellence (APEX) Program at the University of St. Thomas,funded by NSF as an S-STEM Track 2 project, aims to solidify transfer pathways, and assistEngineering students by providing financial, academic, and practical support. The successfulintegration of transfer students into engineering programs presents a unique set of challenges andopportunities for higher education institutions. The APEX program provides a comprehensivesupport system, including structured and informal mentoring, guidance for both academics andextracurricular activities, and collaborative teamwork experiences. The program is
software (e.g., Autodesk and PTC) [1], [2], [3]. Generativedesign (GD) is a computational design technique that utilizes AI algorithms to generate uniqueoutcomes beyond human capabilities [4], [5]. GD methods in engineering apply generative AI toiteratively explore the design space and generate a (set of) solution(s) that satisfy human-definedobjectives and constraints [6], [7]. These approaches utilize a range of generative techniques, suchas genetic algorithms (GAs), variational autoencoders (VAEs), generative adversary networks(GAN), and large language models (LLMs) [8], [9], [10]. See Figure 1 for a few examples. GAscomputationally mimic natural selection by assigning each generated design a fitness function torepresent how well it reaches the
those constructs. GCA uses an algorithmic approach to score teammates on sixconstructs, of which we used three: social impact, the degree to which an individual’scontributions are taken up by the team; responsiveness, the degree to which an individual picksup and develops the contributions of others; and participation, measured as the number ofutterances above or below the team average.Figure 5 - Scores for each member (S1-S4) of each team for each of the three GCA constructs.The results for team F22 are skewed by S4’s very small number of utterances.Figure 6 - LIWC team-level prosocial behavior scoreTable 1 - Descriptions and examples of interactional positioning codes, taken from [10].Positional move (code) Description
”(IUSE – 2211320 and 1934707).References[1] S. Streiner, D. Burkey, M. Young, R. Cimino, & J. Pascal, “Engineering Ethics Through High-Impact Collaborative/Competitive Scenarios (E-ETHICCS)." ASEE Annual Conference andExposition, Long Beach, CA, July 2021[2] P. Patel, “Engineers, Ethics, and the VW Scandal,” IEEE Spectrum, 25 Sept. 2015. [Online].Available: http://spectrum.ieee.org/cars-that-think/at-work/education/vw-scandal-shocking-but-not-surprising-ethicists-say. [Accessed Apr. 11, 2019].[3] M. Hart, “The Ethical Lessons of Deepwater,” ASME.org, March 2011. [Online]. Available:https://www.asme.org/engineering-topics/articles/engineering-ethics/the-ethical-lessons-of-deepwater. [Accessed Apr. 11, 2019].[4] R.P. Boisjoly, E.F. Curtis
definitivefindings from this multi-year panel-type longitudinal experiment will only be available once allmeasurements (M1-M5) for all three cohorts (blocks) are made, validated, and analyzed.6. References[1] R. T. Palmer, D. C. Maramba, and T. E. Dancy II, "A qualitative investigation of factors promoting the retention and persistence of students of color in STEM," Journal of Negro Education, vol. 80, no. 4, pp. 491-504, 2011.[2] G. L. Cohen, J. Garcia, V. Purdie-Vaughns, N. Apfel, and P. Brzustoski, "Recursive processes in self-affirmation: Intervening to close the minority achievement gap," science, vol. 324, no. 5925, pp. 400-403, 2009.[3] S. L. Clark, C. Dyar, N. Maung, and B. London, "Psychosocial pathways to STEM
., Tavener, S., Voss, K. Armentrout, S. Yaeger, P. and Marra, R., 1999, "Using Applied Engineering Problems in Calculus Classes to Promote Learning in Context and Teamwork," Proceedings - Frontiers in Education Conference, Vol. 2, 12d5-14.3. Barrow, D.L. and Fulling, S.A., 1998, "Using an Integrated Engineering Curriculum to Improve Freshman Calculus," Proceedings of the 1998 ASEE Conference, Seattle, WA.4. Hansen, E.W., 1998, "Integrated Mathematics and Physical Science (IMPS): A New Approach for First Year Students at Dartmouth College," Proceedings - Frontiers in Education Conference, Vol. 2, 579.5. Kumar, S. and Jalkio, J., 1998, "Teaching Mathematics from an Applications Perspective," Proceedings of the 1998 ASEE
criticalproblem(s) they posed and the scientific and the societal significance of their research questions.Discussions included how to effectively communicate their ideas to a broader audience as well asbecome more comfortable with incorporating perspectives from non-disciplinary experts. Alongthe way, this mentoring also included career development advice. This ability to interact withdiverse scientific fields is a core aspect of team science or convergence research. Key is thatscientists from different disciplines learn and work together to dissect a problem and challengeeach other’s thinking to re-conceptualize a research program. Such diverse standpoints andapproaches open a space for new ideas to address globally significant scientific problems. One
onset of Year 3, we began work on thefollowing research question: How do different populations and pathways (e.g., FTIC, changingmajors, transfer) navigate the curriculum? To address this question, we planned to useassociation analysis to discover frequent groupings of courses and association rules among themto build course-taking trajectories. The concept of association analysis [9] is classically appliedto analyzing transaction data to observe what items are bought together and develop associationrules of the form, "the people who bought item(s), A, also tended to buy item(s), B." Thosebundles of items we are trying to relate, A and B, are called itemsets, and the association rulewould be written as 𝐴 → 𝐵 (A is the antecedent and B is the
perspectives on diversity efforts (Woods et al., 2024).AcknowledgementThe authors would like to thank the RED teams for their participation in the RED community ofpractice. This work is based upon work supported by the National Science Foundation underGrant No.’s 2317318 and 2317319. Any opinions, findings, and conclusions or recommendationsexpressed in the material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.ReferencesBehfar, K. J., Peterson, R. S., Mannix, E. A., and Trochim, W. M. K. (2008). The critical role ofconflict resolution in teams: A close look at the links between conflict type, conflict managementstrategies, and team outcomes. Journal of Applied Psychology, Vol.93, No. 1, pp. 170
Vempala, Hayley Nielsen, Judy Kim, Dianna Torres,Berenice Cabrera for their contributions to data collection and analysis.References[1] C. C. Ngo and S. J. Oh, “Mechanical Engineering Undergraduate Education in the United States,” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, Virtual Online: ASEE Conferences, Jun. 2020, p. 34964. doi: 10.18260/1-2--34964.[2] C. W. E. Whiteman, “Mechanical Engineering Curricula: A Baseline Study for the Future Effects of ABET EC2000,” International Journal of Mechanical Engineering Education, vol. 31, no. 4, pp. 327–338, Oct. 2003, doi: 10.7227/IJMEE.31.4.4.[3] A. R. Bielefeldt, M. Polmear, D. W. Knight, N. Canney, and C. Swan, “Educating Engineers to Work
California and B.S. in Electronics and Communication Engineering from India.Dr. Pramod Abichandani, New Jersey Institute of TechnologyMs. Heydi L. Dominguez, New Jersey Institute of Technology Heydi Dominguez is a fourth-year undergraduate student pursuing her Bachelorˆa C™s Degree in Me- chanical Engineering and minoring in Innovation and Entrepreneurship at the New Jersey Institute of Technology. Heydi is a first generation college student who isCraig IaboniKevin Alexander Nino ©American Society for Engineering Education, 2023 Using the ARCS Model of Motivation to design 9-12 CS CurriculumAbstractThis ongoing project provides an overview on the use of the Attention, Relevance,Confidence
seventies,” Hum. Relat., vol. 35, no. 12, pp. 1179–1204, 1982.[5] S. Assegaff and A. R. C. Hussin, “Review of Knowledge Management Systems As Socio-Technical System,” p. 6.[6] E. Molleman and M. Broekhuis, “Sociotechnical systems: towards an organizational learning approach,” J. Eng. Technol. Manag., vol. 18, no. 3–4, pp. 271–294, Sep. 2001, doi: 10.1016/S0923-4748(01)00038-8.[7] T. Reiman and P. Oedewald, “Assessment of complex sociotechnical systems – Theoretical issues concerning the use of organizational culture and organizational core task concepts,” Saf. Sci., vol. 45, no. 7, pp. 745–768, Aug. 2007, doi: 10.1016/j.ssci.2006.07.010.[8] S. Winter, N. Berente, J. Howison, and B. Butler, “Beyond the
established.So far, there has been support from organizational structures and changes in individual coursessupport existing learning outcomes.References[1] K. Haas, “Sankey Diagram Analysis: Undergraduate Program Updates 2017-2019,” 2020.[2] N. Desai and G. Stefanek, “A Literature Review of the Different Approaches That Have Been Implemented to Increase Retention in Engineering Programs Across the United States,” in ASEE Zone II Conference, 2017.[3] Georgia Institute of Technology, “Deliberate Innovation, Lifetime Education: Final Report of the Commission on Creating the Next in Education,” 2018.[4] K. D. Hall, D. G. Linzell, B. S. Minsker, J. F. Hajjar, and C. M. Saviz, “Civil Engineering Education Summit: Mapping
Science, vol. 37, pp. 331-356, 2007.[4] W. Faulkner, "Doing gender in engineering workplace cultures. II. Gender in/authenticity and the in/visibility paradox," Engineering Studies, vol. 1, pp. 169-189, 2009.[5] M. Tremblay, T. Wils, and C. Proulx, "Determinants of career path preferences among Canadian engineers," Journal of Engineering and Technology Management, vol. 19, pp. 1-23, 2002.[6] R. W. Lent, S. D. Brown, and G. Hackett, "Contextual supports and barriers to career choice: A social cognitive analysis," Journal of Counseling Psychology, vol. 47, p. 36, 2000.[7] R. W. Lent, H.-B. Sheu, C. S. Gloster, and G. Wilkins, "Longitudinal test of the social cognitive model of choice in engineering
. She holds a Ph.D. in Mechanical Engineering from the University of Minnesota. ©American Society for Engineering Education, 2023 Engineering a Transfer Friendly Experience with Alternative Pathways to ExcellenceAbstract:The Alternative Pathways to Excellence (APEX) program is an NSF funded S-STEM Track 2project that seeks to strengthen efforts to recruit and retain STEM transfer students by integratingfinancial, academic, and practical supports.The APEX program provides student support services, formal and informal mentoring, curricularand co-curricular supports, and cohort building activities all formulated to create accessiblepathways into engineering careers for a population
Cincinnati. Along with his current role as the Manager of Diversity, Inclusion, and Community Engagement for the Co ©American Society for Engineering Education, 2023 Greater Equity, Access, and Readiness for Success in Engineering and Technology (GEARSET) - An Alternate Pathway to Engineering and ETIntroductionThe Greater Equity, Access, and Readiness for Engineering and Technology (GEARSET)Program, an NSF funded S-STEM program was developed to address several institutional needsat the university. The original target population for the GEARSET program was identified as asubset of the students who applied to the College of Engineering (COE) at the University ofToledo (UToledo) and do not meet all the admissions
Science Foundation Grant #1710735. Special thanksto all the faculty who participated in our T1 Summit.References[1] Marker A, Pyke P, Ritter S, et al. Applying the CACAO change model to promote systemic transformation in STEM. Transform Institutions Undergrad STEM Educ 21st Century 2015; 176–188.[2] Peterson V, James C, Dillon HE, et al. Spreading Evidence-Based Instructional Practices: Modeling Change Using Peer Observation. In: The 22nd Annual Conference on Research in Undergraduate Mathematics Education. Oklahoma City, OK: Mathematical Association of America, 2019.[3] Lane AK, Skvoretz J, Ziker JP, et al. Investigating how faculty social networks and peer influence relate to knowledge and use of evidence
education, K-12 STEM teacher professional development, and preservice teacher preparation in STEM.Dr. Joanna K. Garner, Old Dominion University Dr. Garner is Executive Director of The Center for Educational Partnerships at Old Dominion University, VA. American c Society for Engineering Education, 2021 Near-Peer Mentoring and Early Exposure to Computer Science – Quantitative and Qualitative Results - SummaryIntroductionThe CS/M Scholars Program at Western Washington University (WWU) is funded by an NSFTrack 2 S-STEM grant (Award Number 1742110). The grant funds scholarships for low-incomehigh-achieving students majoring in computer science or math and