failures [13]. Of the 21 causes, we consider in this work the 10 that apply to studentprojects, as shown in Table 1. Table 1: Common causes of systems engineering failures. Adapted from [13]. Systems engineering failure causesFailed to consider Actor(s) in the organization failed to consider an aspect in the system design. In many cases,design aspect this causal action describes a design flaw, such as a single-point failure or component compatibility.Used inadequate Actor(s) in the organization used inadequate justification for a decision.justificationFailed to form a Actor(s) in the organization failed to form a contingency plan to implement if an
Department of Mining Engineering. He served as the Associate Dean of the College of Engineering from 1998 to 2006. He was appointed Dean of the School of Engineering at SIU Edwardsville in August 2006. He retired in 2016. Until 2000, most of Dr. Sevim’s publications were in mine systems optimization and open pit mine production planning. After 2000, in parallel with his administrative appointments, he mostly published in the area of engineering education. c American Society for Engineering Education, 2019 Avoiding the Pitfalls in International Collaborations – A case study Hasan Sevim and S. Cem Karacal hsevim@siue.edu and skaraca@siue.edu
evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM programs.Dr. Marisa K. Orr, Clemson University Marisa K. Orr is an Assistant Professor in Engineering and Science Education with a joint appointment in the Department of Mechanical Engineering at Clemson University. Her research interests include student persistence and pathways in engineering, gender equity, diversity, and academic policy. Dr. Orr is a recipient of the NSF CAREER Award for her research entitled, ”Empowering Students to be Adaptive Decision-Makers.”Dr. Rebecca Brent, Education Designs, Inc Rebecca Brent is President of Education Designs, Inc., a consulting firm located in
learningmathematics and English on the cost effective 25 USD ‘Akash’ tablets. We explained the following four principles of developing innovative entrepreneurialcompetencies [13]; (a) The competencies can be developed, b) Diversity is the key, c) Start bychoosing a challenge, d) RBIS (Research-Based Instructional Strategies) catalyze development ofthe competencies. In the rest of the document, entrepreneurship would mean innovative entrepreneurship,wherein one solves problem(s) in an innovative way and makes cost-effective and ethicalsolutions available to people who are facing the problem(s). We then identified broad challenge areas such as education, health, energy, security,efficient enterprises, urban infrastructure, environment, and
Paper ID #22725Work in Progress: Designing Laboratory Work for a Novel Embedded AICourseDr. Mehmet Ergezer, Wentworth Institute of Technology Mehmet Ergezer (S’06) received the B.S. and M.S. degrees in electrical and computer engineering from Youngstown State University, Youngstown, OH, USA, in 2003 and 2006, respectively. He received the D.Eng. degree in artificial intelligence from the Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH, USA, in May 2014. From 2003 to 2005, following his internship with U.S. Steel, he was a Graduate Assistant with Youngstown State University. In
for student success, San Francisco State University (SFSU)has partnered with two local Hispanic-Serving Institution (HSI) community colleges, SkylineCollege and Cañada College. This collaboration involves developing and implementing severalstrategies through the Strengthening Student Motivation and Resilience through Research andAdvising (S-SMART) project, which is funded by the National Science Foundation's HSIImproving Undergraduate STEM Education (IUSE) program. One of the strategies developed isthe S-SMART Summer Internship Program, which offers community college students who havelimited previous research experience meaningful opportunities to engage in engineering researchwith close mentorship from faculty and peer mentors, as well as
leading to a better understanding and applicationof experiment-centric teaching methods.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1915614. The opinions, findings, and conclusions or recommendations expressed are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References[1] R. L. Stowe, L. J. Scharlott, V. R. Ralph, N. M. Becker, and M. M. Cooper, “You Are What You Assess: The Case for Emphasizing Chemistry on Chemistry Assessments,” J. Chem. Educ., vol. 98, no. 8, pp. 2490–2495, Aug. 2021, doi: 10.1021/acs.jchemed.1c00532.[2] D. Lombardi et al., “The Curious Construct of Active Learning,” Psychol Sci Public Interest, vol
approval, in most cases. We worry thatthe IRB application process may pose a barrier to REU leaders, who are typically scientists andengineers who may not have experience with human subjects research. Here we offer guidance 2based on our experience pursuing IRB approval for research on evaluation data, although IRBpolicies vary by institution. We did not apply for IRB approval for Year 1’s data collectionbecause we wanted to pilot-test our methods first. To prepare for Year 2, Wylie worked with anIRB staff member through multiple revisions of a protocol. Our IRB staff were primarilyconcerned about three issues that we imagine are common: · Coercion
conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation. 1Fisher identified significant gender differences in major selection for male- and female-identifiedstudents in computing based on individuals’ attention to “computing with a purpose” [9].However, it is important that we recall Slaton’s cautions against the operation of essentialismwithin this approach to diversity and inclusion and not predicate calls for change on a “naturaldifference” in approaches to engineering, rather we call for a change in values for liberation [10].Our department is at the beginning of a multi-year journey of
, and male dominated fields [5], [6],[7], [8]. Particularly, Latina students often suffer challenges when they try to belong toengineering disciplines due to the racism and sexism [9], [10], [11]. Nevertheless, HSIs haveoffered diverse programs to recruit and retain more Latinx and BIPOC students by incorporatingLatinx culture and values [12], [2], including family and community members in their outreachand collaborating with professional organizations that support Black and Hispanic engineers andscientists [13], [14]. These efforts have been actively implemented through multiple fundingsources; for example, the National Science Foundation (NSF)’s Hispanic Serving Institutiongrant opportunities [15].Despite the important contributions of HSIs
suggests that experiment-centric pedagogy haspotential for increasing the curiosity necessary for learning and creativity in engineeringeducation. To turn this potential into consistent, noteworthy effects on students' curiosity, morework and data is certainly required across the engineering fields.AcknowledgementThis 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 andconclusions or recommendations expressed are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References[1] V. Seevaratnam
identified themes in this study. Future research couldexplore alternative approaches (e.g., GPT-4) to streamline the clustering and code generationprocesses, potentially leveraging advanced natural language processing techniques to automatethe identification and consolidation of overlapping themes.References[1] A. Alsharif, A. Katz, D. Knight, and S. Alatwah, “Using Sentiment Analysis to Evaluate First-year Engineering Students Teamwork Textual Feedback,” in 2022 ASEE Annual Conference & Exposition, 2022. Accessed: Nov. 28, 2023. [Online]. Available: https://peer.asee.org/41460.pdf[2] R. S. Baker and P. S. Inventado, “Educational Data Mining and Learning Analytics,” in Learning Analytics: From Research to Practice, J. A. Larusson
. Monika Herrmann, University of Wisconsin, Stout About the Author Monika Herrmann is an assistant professor in the Engineering and Technology department at the University of Wisconsin Stout. She holds professional licenses in Architecture and Interior Architecture in Germany and the USA and is practicinDr. Ahmet Turkmen, Ahmet Turkmen, PhD is an Associate Professor in the Engineering and Technology Department at the University of Wisconsin-Stout. Dr. Turkmenˆa C™s fields of expertise include medical instrumentation, processing of physiological signals, and modeling of physi ©American Society for Engineering Education, 2024 Integrating Artificial Intelligence into Electrical Engineering
such as this. Instead, students were encouraged to reflect ontheir own strengths and challenges and make choices based on their understanding of theirabilities. Following every exam and the group project, the students were asked to respond toreflection questions, encouraging them to take ownership of their learning. For example, after themidterm II exam, the students were asked to answer the following questions among others: a)What was/were the most important factor/s behind your performance in Midterm-II exam? b)“How well do you expect to perform in Midterm-III exam? What is/are your plan(s) to achievethat?”The term group project was part of the Project-Based Learning implementation in the course andhad specific milestones for deliverables
research and [Todd]'s doing math education and breaking down all of these stereotypes with math education. And [Amy] is basically trying to make the world a better place through urban planning and aviation design and the space around us. And so in that environment, it's like, what does my music research mean? And so I think there's a tendency to think, well, what purpose does my research serve? And I thought about that a lot over the time when we were meeting. And then I eventually, I just had this, I don't know, a change of heart. And I started thinking my research doesn't actually...I teach people how to enjoy music and how to enjoy beauty. And I think there is a value to enjoying things for the
and Minorities in Science and Engineering, vol. 27, no. 3, 2021.4. M. M. Camacho and S. M. Lord, "Latinos and the exclusionary space of engineering education," Latino Studies, vol. 11, no. 1, pp. 103-112, 2013.5. S. M. Lord, M. W. Ohland, R. A. Layton, and M. M. Camacho, "Beyond pipeline and pathways: Ecosystem metrics," Journal of Engineering Education, vol. 108, no. 1, pp. 32-56, 2019.6. M. W. Ohland et al., "Race, gender, and measures of success in engineering education," Journal of Engineering Education, vol. 100, no. 2, pp. 225-252, 2011.7. A. Esquinca and J. A. Mejia, "Latinx Engineering Students: A Critical Multimodal Analysis of Professional Identity Texts," in Encyclopedia of critical understandings of Latinx and
-eyes-minds-and-hearts-visual-thinking- strategies-health-care-professionals. [Accessed 10 January 2024].[7] J. Driskell, E. Salas and S. Hughes, "Collective Orientation and Team Performance: Development of an Individual Difference Measure," Human Factors, vol. 52, no. 2, pp. 316-328, 2010.[8] B. Weidmann and D. Deming, "Team Players: How Social Skills Improve Team Performance," Econometrica, vol. 89, no. 6, pp. 2637-2657, 2021.[9] L. Wilson, S. Ho and R. Brookes, "Student perception of teamwork within assessment tasks in undergraduate science degrees," Assess. & Eval. In Higher Ed., vol. 43, no. 5, pp. 786- 799, 2017.[10] S. Naghshineh, J. Hafler and A. e. a. Miller, "Formal art obervation training improves medical
familyresponsibilities.AcknowledgmentsOriginal work on this project was undertaken by Isabella Henley, a former undergraduate studentat Purdue University. Ms. Henley’s contributions to the overall project are documented in aprevious paper on this topic.4References1 Fouad, N. A., Singh, R., Fitzpatrick, M. E. & Liu, J. P. Stemming the tide: Why women leave engineering. University of Wisconsin-Milwaukee, Final report from NSF Award 827553 (2011).2 Ruthven, I., Buchanan, S. & Jardine, C. Isolated, overwhelmed, and worried: Young first‐ time mothers asking for information and support online. Journal of the Association for Information Science and Technology 69, 1073-1083 (2018).3 Major, L. Advance Forward Moms! A Paradigm for an Online Community of
organizationalpractices that make such change possible. HSIs and computing or engineering departments cansupport students by recognizing the strengths of the local community, hiring staff and NTTs withshared cultural backgrounds, and elevating the important work of staff and NTTs in creatinginclusive educational environments and expanding students’ access to opportunities.References[1] Committee On Underrepresented Groups And The Expansion Of The Science And Engineering Workforce Pipeline (U.S, Expanding underrepresented minority participation. Washington, D.C.: National Academies Press, 2011.[2] K. P. Cobian, S. Hurtado, A. L. Romero, and J. A. Gutzwa, “Enacting inclusive science: Culturally responsive higher education practices in science
the heteronormativity of engineering: The experiences of lesbian, gay, and bisexual students,” Eng. Stud., vol. 3, no. 1, pp. 1–24, Apr. 2011, doi: 10.1080/19378629.2010.545065.[2] B. E. Hughes, “‘Managing by not managing’: How gay engineering students manage sexual orientation identity,” J. Coll. Stud. Dev., vol. 58, no. 3, pp. 385–401, Apr. 2017, doi: 10.1353/csd.2017.0029.[3] K. J. Cross, S. Farrell, and B. E. Hughes, Eds., Queering STEM culture in US higher education: Navigating experiences of exclusion in the academy. New York: Taylor & Francis Group, 2022. doi: 10.4324/9781003169253.[4] A. Paul and R. S. Lewis, “Understanding the workplace transition experiences of undergraduate queer
generative AI.References1. A. Wilhelmsen, D.H. Hanberg, I.B. Siversten, O.A. Alsos and S. Solvoll, “Generative AI in Design Education: Business As Usual, A Troublemaker or a Game Changer?,” in Proceedings of 26th Interbational Conference on Engineering and Product Design Education, Birmingham, United Kingdom, Sept 5-6, 2024.2. B. McMurtrie, “The Future is Hybrid: Colleges Being to Reimagine Learning in an AI World,” The Chronicle of Higher Education, Oct. 2024. Available: https://www.chronicle.com/article/the-future-is-hybrid?sra=true3. X. Wang, Q. Liu, H. Pang, S.C. Tan, J. Lei, M. P. Wallace, and L.Li, “What Matters in AI- supported learning: A Study of Humna-AI Interactions in Language Using Cluster Analysis and Epistemic
-2933, 2018.[2] F. Jamil, "On the electricity shortage, price and electricity theft nexus," Energy Policy, pp. 267-272, 2013.[3] I. N. Kessides, "Chaos in power: Pakistan's electricity crisis.," Energy Policy, vol. 55, pp. 271-285, 2013.[4] A. Tanveer, "Non-technical loss analysis and prevention using smart meters," Renewable and Sustainable Energy Reviews, pp. 573-589, 2017.[5] T. Bihl and A. and Zobaa, "Data-mining methods for electricity theft detection.," in Big Data Analytics in Future Power Systems, CRC Press, 2018, pp. 107-124.[6] T. Abdelhamid, "Six Sigma in lean construction systems: opportunities and challenges," Proceedings of the 11th Annual Conference for Lean Construction, pp. 22-24, 2003.[7] T. J. Bihl and S
State University (Ph.D.).Ellen Wang Althaus, University of Illinois at Urbana - Champaign Ellen Wang Althaus, PhD (she/her) is a collaborative and innovative leader forging new initiatives and building alliances to foster diversity, equity, and inclusion (DEI) in science, technology, engineering, and mathematics (STEM) disciplines. In her current role as Assistant Dean for Strategic Diversity, Equity, and Inclusion Initiatives in the Grainger College of Engineering at the University of Illinois Urbana-Champaign she • Leads the strategy enhancing the Grainger College of Engineering (GCOE)’s commitment to diversity, equity, inclusion, and access. • Develops robust structures to support faculty and staff appropriately
). The undecided college student: An academic and career advisingchallenge (2nd. Ed.) Springfield, IL: Charles C. Thomas.[10] Hathaway R.S., Nagda B.A., Gregerman S.R. The relationship of undergraduate researchparticipation to graduate and professional education pursuit: an empirical study.[11] Kremer J.F., Bringle R.G. The effects of an intensive research experience on the careers oftalented undergraduates. J. Res. Dev. Educ. 1990;24:1–5.[12] Lin, L., & Atkinson, R. K. (2011). Using Animations and Visual Cueing to Support Learningof Scientific Concepts and Processes. Computers & Education, 56(3), 650-658.[13] Marquez, E., Garcia Jr., S. Nurturing Brilliance in Engineering: Creating Research Venuesfor Undergraduate Underrepresented
Success Case method to determinewhich participants to interview in these case studies [23].VI. ACKNOWLEDGEMENTSThis paper builds upon the work-in-progress paper presented at the 2023 ASEE AnnualConference and Exposition, “Board 53: Engagement in Practice: Strengthening Student’s STEMIdentity Through Service,” [24, p. 53] and funded by the National Science Foundation underGrant No. DUE-1832553. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We would like to acknowledge the researchers from whom we inherited thisproject: Selvin Yovani Tobar, Bara Maisara Zalloum, Anna N. Le, Yessenia Nicacio-Rosales,Adam Moine
522E. InstrumentWe considered 7 popular instruments meant for studying attitudes towards STEM subjects. TheFennema Sherman Mathematics Attitude Scale developed in the 1970’s is a survey with 108items that looks at 9 scales of attitudes towards the learning of Mathematics [16]. TheMathematics Attitude Scale for Adults looks at the Affective, Behavioural and Cognitivedimensions of dispositions towards Mathematics [17]. The Abbreviated Mathematics AnxietyScale [18] particularly looks at mathematics anxiety related to learning and testing. There is aSingle Item Math Anxiety Scale [19] looking at self-reported general anxiety towards thesubject, while the Math Anxiety Questionnaire for Adults [20] looks at anxiety towards problemsolving.In 2006
analyzing new responses to the survey, which was revised andredistributed in the fall 2024 semester to examine the impact of sociopolitical changes such asthe overturning of race-conscious college admissions.References[1] S. Zweben, J. L. Tims, C. Tucker, and Y. Timanovsky, “ACM-NDC study 2021--2022: tenthannual study of non-doctoral-granting departments in computing,” ACM Inroads, vol. 13, no. 3,pp. 38–54, 2022.[2] S. Zweben and B. Bizot, “2022 Taulbee Survey Record Doctoral Degree Production; MoreIncreases in Undergrad Enrollment Despite Increased Degree Production,” 2023.[3] J. Forbes, A. Kennedy, M. Martonosi, and F. Pembleton, “Expanding the Pipeline: Roadmapof CISE’s Efforts to Broaden Participation in Computing Through the Years
engineering students as well as other engineering education efforts.Dr. Patricia A Ralston, University of Louisville Patricia A. S. Ralston is Professor in the Department of Engineering Fundamentals and directs J.B. Speed School’s Center for Teaching and Learning Engineering. She teaches undergraduate engineering mathematics and is currently involved in various educational research projects focused on the retention of engineering students as well as faculty development. ©American Society for Engineering Education, 2025Predicting academic behaviors of first-year engineering students by modeling non-cognitive factors and their interactionsIntroductionA common reason for many first-year
a Localized Engineering in Displacement (LED) ProgramAbstractThis work-in-progress paper explores how queer youth experiencing housing insecurity navigateidentity and agency through participation in an alternative engineering education program calledLocalized Engineering in Displacement (LED). This study stems from a three-year Design-BasedResearch (DBR) initiative that developed the LED curriculum, integrating community-drivenproblem-solving, digital tools, and microelectronics to empower LGBTQIA+ youth experiencinghousing insecurity. Drawing on Holland et al.'s [1] theory of figured worlds, we investigate howthe LED program creates a space where queer identities are not only welcomed but also informengineering engagement. Using semi
between predicted and actual scores averaged over 1 point loweron predicted score). There could also be investigations into whether students experience post-quiz anxiety or cognitive biases that influence their self-assessments.The pre-quiz predictions of the students tended to better at the end of the course compared to thebeginning. However, this was not the case for the post-quiz surveys. Also, the regressioncoefficient was fairly low, indicating only a small correlation. So, although there is a slight trendhere, there is little evidence to support the second hypothesis of students being better atpredictions at the end of the course.It was found that students in their early and mid 20’s tended to be the ones who underestimatedtheir abilities