Ashley Taylor is a doctoral candidate in engineering education at Virginia Polytechnic and State Univer- sity, where she also serves as a program assistant for the Center for Enhancement of Engineering Diversity and an advisor for international senior design projects in the Department of Mechanical Engineering. Ash- ley received her MS in Mechanical Engineering, MPH in Public Health Education, and BS in Mechanical Engineering from Virginia Tech. Her research interests include access to higher education, broadening participation in engineering, the integration of engineering education and international development, and building capacity in low and middle income countries through inclusive technical education.Dr. Homero
: Acritical narrative analysis,” CJHE, vol. 44, no. 2, pp. 85–104, Aug. 2014, doi:10.47678/cjhe.v44i2.183772.[25] K. Charmaz, “Grounded theory. Qualitative psychology: A practical guide to researchmethods,” 3rd ed., London, England: Sage, 2015, pp. 53–84.[26] A. B. Diekman, R. M. Ward, E. J. Yezierski, and S. L. Bretz, “Developing identity viaintentional interdisciplinary engagement: exploring new mentoring models for STEM graduatestudents’ professional development,” Mentoring & Tutoring: Partnership in Learning, pp. 1–21,Jan. 2025, doi: 10.1080/13611267.2024.2441125.[27] S. Hancock and E. Walsh, “Beyond knowledge and skills: rethinking the development ofprofessional identity during the STEM doctorate,” Studies in Higher Education, vol. 41, no. 1
with software training for 3D Printing, CAD/CAM design and Manufacturing, as well as providing mentorship and guidance for the Gaia Maker Space. Fernando is also part of Tech-E, a hands-on, Project-Based Learning program which exposes at-risk k-12 students to emerging technologies to prepare them for future STEAM careers.Mr. Sabastian Moncayo c American Society for Engineering Education, 2018 Work in Progress UTEP Edge: A Student Success Initiative for Developing High-impact PracticesAbstractThe objective of this contribution is to share how, through the integration of leadershipdevelopment, undergraduate engineering education is
observed and reported with a subjectiveeye but will prevent successful implementation without further study.Another observation the team made was the effect of latency on the estimate accuracy. If thereceiver was in a static position the estimate quality matched that which was reported above.However, if the receiver was moving within the building the power reported by each access pointdid not necessarily correspond to the current position of the receiver. Without the ability to movethe receiver within the building there is little need to estimate position. Future students will needto address this through stochastic methods and sensor fusion, topics which are beyond the scopeof an undergraduate degree in Computer Engineering
experiences of neurodiverse students by moving beyond academic accommodationof learning differences to empowering students to leverage their unique strengths in engineering.In undertaking this transformation, an epistemic communities model was adopted andimplemented as infrastructure for change as part of a National Science FoundationRevolutionizing Engineering Departments (NSF:RED) grant within the context of a Civil andEnvironmental Engineering department at a large, research intensive (R1) institution. Epistemiccommunities unite members in a shared purpose through the establishment and transmission ofshared values and practices, allowing stakeholders to build community from within and sustainlasting change. Through our epistemic community, we aim
ofstudent GAI use in coursework have been identified, including but not limited to ethical andaccess concerns, the understanding that GAIs are another disruptive technology, and recognizedbenefits for students who use GAIs—though those benefits were weighted against potentiallydetrimental effects. Each represents a potential recommendation and topic to address as thisresearch continues.References[1] S. Makridakis, "The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms," Futures, vol. 90, pp. 46-60, 2017.[2] H.-K. Lee, "Rethinking creativity: creative industries, AI and everyday creativity," Media, Culture & Society, vol. 44, no. 3, pp. 601-612, 2022.[3] X. Zhai, "ChatGPT User Experience: Implications
phenomena through simulations and modelling. Different interpretations ofthe term CT have resulted in many skills being brought together under this umbrella [5],[10]–[11]. In an attempt to provide a succinct and precise definition of CT, Aho [12, p. 834] describesit as the "thought processes involved in formulating problems, so that their solutions can berepresented as computational steps and algorithms." Thus, CT skills are not limited to computerscience; CT goes beyond that to encompass different ways of systematic thinking and problem-solving.When CT is defined as a set of problem-solving skills, Wing [6] argues that it is a fundamentalskill for everyone. She calls explicitly for introducing pre-college students to CT and including itin their
, particularly for novice programmers. Early programming courses are knownto present considerable challenges for students, with high dropout rates and frequent strugglesto overcome the steep learning curve of programming languages. The lack of immediate, rele-vant feedback further exacerbates these challenges. WebTA addresses this gap by offering timely,automated feedback through a code critiquing tool that highlights antipatterns—common studentmistakes that experts would avoid [11, 12]. The potential of WebTA to impact programming ed-ucation beyond college-level introductory courses remains largely unexplored. This project aimsto develop a dissemination model for WebTA that enables educators in both higher education andK-12 settings to benefit from
interactwith AI [2], [9], [8]. As AI becomes increasingly prevalent, there is a greater demand for AI-literate workers [9]. Consequently, several studies have explored the potential of incorporatingAI in pre-college education through “playful experiences and approachable content to preparechildren for an AI-saturated world” [10, p. 2]. Additionally, AI studies in early childhood arealso emerging [6], [11], [12], [13], [14]. Given the growth of AI in K-12, it is necessary toexplore AI resources developed for pre-college education. Examining the available AI resourceswill help understand how AI is integrated into teaching and learning in pre-college education.This will also help to identify any gaps in curriculum development. Moreover, it will offer
andcommentary or suggestions on the activities we are proposing. We also have contacts from amailing list generated at a previous ASEE presentation about the initial ROAR proposal whereaudience-participants were asked to share their contact details if they were interested inbecoming a part of the project. Thus, we will open up the shaping of the event to those who haveself-identified and have given their emails for contact, with the possibility for newly interestedparticipants to engage the conversation and take part at CoNECD. We will promote the eventusing Twitter and through our email list – as well as through fliers made for distribution duringthe conference.Conclusion: Next Steps Beyond CoNECDOur projected intention with this initial research and
holistic concepts beyond mathand science to formulate and solve complex societal challenges10 and combine mastery oftechnical fundamentals with practical design in a meaningful context11. Significant effort hasbeen put into emphasizing design experience in problem- or project-based learning forundergraduates12,13 including SE concepts and systems thinking14 and complex socio-technicalsystems15,16.These recent efforts at the university level align with K-12 initiatives to promote science,technology, engineering, and mathematics17 and understand daily experiences with engineeringartifacts.18 Indeed, the U.S. National Research Council's framework for K-12 science educationdistinguishes engineering practices and includes core ideas in engineering
the social relevance and everydayapplications of engineering. Each activity was linked to specific academic content standards sothat the teachers could expand the outreach activity into classroom learning if desired.22 Duringthe 2014-2015 academic year, these kits were facilitated to over 1200 K-12 students, primarily ingrades 3 through 6. Assessment of this project showed that the outreach activities were effectiveat increasing the K-12 students’ attitudes, interest and awareness towards STEM, but they weremore effective for the females.21 A full description of the engineering outreach kits developedand piloted through this project is provided at the website.23In 2015, the University of Dayton partnered with Kiser PK-8 School, Learn to
critical thinking abilities they needto responsibly navigate and contribute to an AI-driven world.1. IntroductionArtificial Intelligence (AI) has become a transformative force across industries, redefining theworkforce and global problem-solving approaches, from healthcare innovations to environmentalsustainability efforts [1], [2]. Just like integrating computer science understanding and skills intothe curriculum has gained momentum in recent years, so is true for AI. Students need to betterunderstand how the technology works and how to use it properly. Despite the need for studentsto understand how AI works, disparities in Kindergarten through 12th grade (K-12) AI educationpersist. This leaves many students unprepared to navigate an AI
Project-Based Learning in a Simulation Course to Develop an Entrepreneurial Mindset Michael E. Kuhl Industrial and Systems Engineering Department Rochester Institute of Technology Rochester, NY 14623AbstractHaving an entrepreneurial mindset is often a characteristic of highly successful engineers. Thismindset can be cultivated through engineering curriculum and educational methods. This workpresents a case study in which project-based learning is utilized in a simulation course to foster thedevelopment of an entrepreneurial mindset in engineering students. The
. Danczhas been a KolbeTM Certified Consultant since 2013 and consults on conation and team formation. c American Society for Engineering Education, 2019 Conceive – Design – Implement - Operate (CDIO) based redesign of a traditional aircraft flight dynamics and control courseAbstract This work-in-progress paper describes a proposed effort to redesign a traditional course inflight dynamics, stability and control at Saint Louis University, St. Louis, MO, through theincorporation of CDIO techniques. In the proposed redesigned course, students will have anopportunity to move beyond (but not exclude) closed-ended homework and/or programmingprojects in Matlab, and explore the potential for validating
meet to analyze the collaborative autoethnographic data collected thus far. The outcomes ofthis analysis – including research team testimonials – will be shared during the NSF granteesposter session.Acknowledgement of SupportThis material is based upon work supported by the National Science Foundation under AwardNo. 2404731, 2404732, and 2405679.References[1] K. J. Jensen, I. M. Miller, D. E. Suresh, and J. P. Martin, “Beyond skills: building research capacity through cognitive apprenticeship and social capital,” Australas. J. Eng. Educ., vol. 28, no. 1, pp. 97–109, Jan. 2023, doi: 10.1080/22054952.2023.2230068.[2] J. Martin, D. Suresh, and P. Jensen, “Perceptions of shared experiences in mentoring relationships: a
. Dutt, “Addressing racism through ownership,” Nat. Geosci., vol. 14, no. 2, Art. no. 2,Feb. 2021, doi: 10.1038/s41561-021-00688-2.[20] P. Blanchard, “Centering Native Voices within Atmospheric Sciences: An Inquiry intoOpportunities and Challenges Experienced by Native Students and Junior Scholars,” presented atthe Abstract ED13A-07 Presented at 2018 Fall Meeting, AGU, Washington, D.C., Dec. 10, 2018.[Online]. Available: https://abstractsearch.agu.org/meetings/2018/FM/ED13A-07.html[21] C. E. Coburn, “Rethinking Scale: Moving Beyond Numbers to Deep and Lasting Change,”Educational Researcher, vol. 32, no. 6, pp. 3–12, Aug. 2003, doi: 10.3102/0013189X032006003.[22] K. Beswick, “The beliefs/practice connection in broadly defined contexts,” Math Ed
lead to deeper learning? Renewed definitions of collaboration for engineering students,” IEEE Transactions on Learning Technologies, vol. 12, no. 1, pp. 123–132, 2019, [Online]. Available: http://dist.lib.usu.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=eric&A N=EJ1212493&site=eds-live[46] *T. Castillo, R. F. Herrera, T. Guffante, Á. Paredes, and O. Paredes, “The Interaction of Civil Engineering Students in Group Work through the Social Network Analysis,” Sustainability, vol. 13, no. 17, p. 9847, 2021, doi: 10.3390/su13179847.[47] *K. Jablokow and P. Vercellone-Smith, “The Impact of Cognitive Style on Social Networks in On-Line Discussions,” Adv Eng Educ, pp. 1–29
.[2] K. Levin, B. Cashore, S. Berstein, and G. Auld, "Overcoming the tragedy of superwicked problems: constraining our future selves to ameliorate global climate change," Policy Science, vol. 45, pp. 123-152, 2012.[3] B. Banerjee and S. Ceri, Creating Innovation Leaders: A Global Perspective: Springer International Publishing, 2016.[4] H. M. Moorefield-Lang, "Makers in the library: case studies of 3D printers and maker spaces in library settings," Library Hi Tech, vol. 32, pp. 583-593, 2014.[5] R. Darnton, "The library in the new age," New York Review of Books, vol. 55, 2008.[6] D. Grasso and M. Burkins, "Holistic Engineering Education," in Holistic Engineering Education: Beyond
Communication, Feb. 2016, doi: 10.1093/ACREFORE/9780190228613.013.68.[15] M. Byram, M. Barrett, I. Lázár, P. Mompoint-Gaillard, and S. Philippou, Developing intercultural competence through education. Council of Europe Publishing, 2014.[16] D. K. Deardorff, “INTERCULTURAL COMPETENCE: A Definition, Model, and Implications for Education Abroad,” Developing Intercultural Competence and Transformation: Theory, Research, and Application in International Education, pp. 32–52, Jan. 2023, doi: 10.4324/9781003444169- 4/INTERCULTURAL-COMPETENCE-DARLA-DEARDORFF.[17] R. L. Griffith, L. Wolfeld, B. K. Armon, J. Rios, and O. L. Liu, “Assessing Intercultural Competence in Higher Education: Existing Research and Future Directions
photographs,” Memory, vol. 26, no. 4, pp. 439–450, 2018.[23] J. Cook, S. Lewandowsky, and U. K. Ecker, “Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence,” PloS one, vol. 12, no. 5, p. e0175799, 2017.[24] K. L. Einstein and D. M. Glick, “Do I think BLS data are BS? The consequences of conspiracy theories,” Political Behavior, vol. 37, no. 3, pp. 679–701, 2015.[25] A. S. Tseng, “Students and evaluation of web-based misinformation about vaccination: critical reading or passive acceptance of claims?,” International Journal of Science Education, Part B, vol. 8, no. 3, pp. 250–265, 2018.[26] L. Schaewitz, J. P. Kluck, L. Klösters, and N. C. Krämer, “When is
peer-review process for grant applications: Reliability, validity, bias, and generalizability,” Am. Psychol., vol. 63, pp. 160–168, 2008, doi: 10.1037/0003-066X.63.3.160.[17] K. Beddoes, S. Cutler, and R. Croninger, “WIP: The Field of Engineering Education Research as Seen Through the Peer Review Process,” 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida, Jun. 2019. doi: 10.18260/1-2--32349.[18] K. K. Janke, A. S. Bzowyckyj, and A. P. Traynor, “Editors’ Perspectives on Enhancing Manuscript Quality and Editorial Decisions Through Peer Review and Reviewer Development,” Am. J. Pharm. Educ., vol. 81, no. 4, May 2017, doi: 10.5688/ajpe81473.[19] M. Petrescu and A. Krishen, “The evolving crisis of the
a social process that is based on dialogic exchanges that occur whileworking with others, where design decisions are often indirectly governed by individual values andexperiences [24]. The underlying assumption of Ethics by Design is that technologies are not neutral,thereby situating engineers and other actors as a part of the ethical decision making within the wholedesign process. The European Commission on AI Ethics has since adopted an Ethics by Designapproach when designing and developing solutions that are rooted in prevailing AI concerns, such asbias, privacy, transparency, security, and environmental impact [25]. Integrating Ethics by Designinto a machine learning course through STEMtelling demonstrates how ethics goes beyond
steps,” Cambridge Handb. Eng. Educ. Res., pp. 497–517, 2014.[24] K. Krippendorff, Content analysis: An introduction to its methodology. Sage publications, 2018.[25] E. G. Guba and Y. S. Lincoln, Fourth generation evaluation. Sage, 1989.[26] J. W. Creswell and C. N. Poth, Qualitative inquiry and research design: Choosing among five approaches. Sage publications, 2016.[27] R. Moore, M. Alemdar, J. A. Lingle, S. H. Newton, J. H. Rosen, and M. Usselman, “The Engineering Design Log: A Digital Design Journal Facilitating Learning and Assessment (RTP),” 2016.[28] M. E. Helms et al., “Getting Beyond the Hairy House: Using Structure-Function- Mechanism to Advance Biologically Inspired Design Pedagogy,” in
educational value of interaction with the material and interaction with theinstructor. A good distance-learning class, on the other hand, broadens and enriches everyone’sexperience by introducing a multiplicity of opinions and personalities into the mix through thethird type of relationship in the distance learning model; interaction with peers [12]. In an effortto increase student interaction, a type of discussion board was developed. Instead of a typicaldiscussion board where students posted comments, asynchronous video posts were adopted usingVoiceThread as shown in Figure 5. The video posts were presented as a means for students tocommunicate beyond words. The posts also presented an opportunity for students to practiceexpressing their opinions
CSETA will use a multi-tier approach to increase capacity inCyber Security education, training, and awareness in the undergraduate curriculum by (1) Assembling adiverse team of leaders from academia, business, industry, and professional organizations withexperience and expertise in various aspects of Cyber Security education, (2) Developing collaborativerelationships with academia, government and industry, (3) Introducing course modules and/or a minorin Cyber Security for engineering technology (ET) majors, (4) Enhancing faculty expertise throughsummer workshops and graduate school opportunities, (5) increasing awareness in Cyber Securitycareer opportunities in the K-12 grade levels through outreach activities, and (5) creating an
industrialpartners through setting up an industrial advisory board1, 2. However, in order to sustain theinteraction and truly take advantage of the participation of industry leaders, many programs havedeveloped various models suitable for their specific needs3. Most programs involve their Page 26.538.2councils beyond a simple advisory role such as curriculum, extracurricular activities, research,and faculty development4, 5, some programs make use of industry-sponsored projects6, whileothers suggested integrate practice-oriented education of engineers by working with industrypartners7.In this paper, we present our experience in working with our industrial
quantitative outcomes of this experiment are in a forthcomingpublication.) We briefly describe the experiment overall, and then delve into how thequantitative results can be explored further through the two open-response questions participantsanswered at the end of the experiment. Here, we discuss initial coding and exploratory analysisof responses from both participant groups to the following questions: Thinking about yourexperience in the experiment, how would you describe the two categories of images? and Howdid you decide which images to place in which category? We conclude with insights forimproving the use of images in Fluid Mechanics courses, and broader implications of howformative assessments might be created for other courses based upon this
force heat through the TEGS at a higher rate to achieve reasonably close to original operationalconditions. If and only if this is true can it also be asserted that if a system is modified to createthermal energy channels a higher net efficiency is achieved. If the hypothesis proves to be correctby indicating an increase of output, then it could be optimized further. The thermal-electric energyconversion is a tensor equation[4], however, a simplified form exist. First by applying thethermodynamic principles[5] and the assumption of 1-dimensional heat transfer. Equation 1 isachieved and through a series of assumptions, The Figure of Merit, equation 2, is a 1/˚C (1/K)quantity. α T I − 1 IR 2 + K ∆T
. Last, as the pathway to recruiting is a long one, educators should expand their network to include women of color faculty as collaborators and colleagues. For students, the immediate need for mentoring can be addressed by some of the suggestions included earlier. Expanding a network beyond campus and often beyond STEM may provide useful insights and strategies. Graduate students and other professional staff may also be valuable mentors to support and provide advice through STEM matriculation. Additionally, being open to mentors who are not women of color will also be useful, as many are well equipped to be invaluable mentors and role models. Feeling of Obligation A sense of obligation is a challenge for Black women in STEM. Their