Answer?" Australasian Journal of Engineering Education, vol. 3, no. 2, pp. 2-16, 2003. 3. Maldonado, S., Khan, M. A., & Moon, S. K., "Designing for the Future: AI and Machine Learning in Engineering Education," Computers & Education, vol. 123, pp. 100-113, 2018. 4. Bordogna, J., Fromm, E., & Ernst, E. W., "Engineering Education: Innovation through Integration," Journal of Engineering Education, vol. 82, no. 1, pp. 3-8, 1993. 5. Reynolds, A., & Lewis, D., "Teams Solve Problems Faster When They’re More Cognitively Diverse," Harvard Business Review, March 30, 2017. 6. Freeman, S., et al., "Active Learning Increases Student Performance in Science, Engineering, and Mathematics," Proceedings
“resource coordination,” whilefragmented codes were either discarded or subsumed under existing themes. Themes wereiteratively refined by revisiting raw data to ensure coherence and relevance to the researchquestions. To strengthen the trustworthiness of the analysis, member checking was conducted bysharing preliminary themes and representative quotes with participants, who confirmed theinterpretive accuracy of their experiences. Furthermore, peer debriefing with external STEMeducation researchers provided critical feedback to minimize bias. All coding decisions weredocumented and cross-referenced using NVivo software, ensuring procedural transparency and anauditable trail. The participants are experienced high school teachers from City S, a
(could be planar or a volume)warped shape (context suggests intentionalwarping or skewing; excludes obviously 3Dshapes that appear to be based on regulargeometry)“squircle" (rounded square)more than 1 circle or more than 1 square(complete) answer is ONLY a SINGLE circle or a single square (regular) shape built with CHOPPED shape(s) (different than boolean) (closed) PARTIAL shape(s) (different than boolean) (just lines, open) answers with colored-in (solid?) shape(s) other regular polygon (not an obvious boolean) (e.g., triangle, hexagon) text or math symbol answerFig. 3 shows the normalized number of students producing a total number of solutions, separatedby discipline. Notably, engineering students held the top two spots for having produced
leader? FACE aims to develop leadership skills, create opportunitiesfor students to engage in co- and extracurricular activities, and promote career and educationalgoal achievement within our engineering FYS to aid in retention of their programs.FACE is intentionally designed to align with leadership identity development models,particularly Komives et al.’s (2005) LID Model and Schell & Hughes’ (2016) EngineeringLeadership Identity Model [13], [14]. These frameworks emphasize that leadership identity iscultivated through structured experiences, reflection, and mentorship. Accordingly, FACEincorporates structured peer mentorship, self-assessment tools like CliftonStrengths, andleadership reflection activities to help students actively
Students”, Forbes, February 26, 2025,integrate AI tools into a master's course has increased student https://www.forbes.com/sites/danfitzpatrick/2025/02/26/chatgpt-to-be-comfort as well as raised awareness of its ethical issues [17]. given-to-all-estonian-high-school-students/ [6] I. B. Bunjaku, S. Gagica, M. D. Kent, “Integrating Digital Tools in Several factors may contribute to the students’ low Engineering Education: Social Impact of Technological Integration”,engagement in using AI tools for their learning. First, students IFAC PapersOnline 58-3 (2024) p. 118 - 122are simply
generate explanations based on the learner Student: " What is missing from the following definition of degrees of well as adjust the following responses. freedom in dynamic systems: it is the total number of displacements in a system." AI: The definition of degrees of freedom (DOF) as "the total number of TABLE V. EXAMPLE UNDERSTANDING BERNOULLI S EQUATION IN displacements in a system" is partially correct but incomplete. It misses the THE CONTEXT OF PUMP DESIGN following key points: 1. Independent Movements:ß Student: 2. Type of Motion: ... to pump design. 3
, longitudinalassessments of participants will be conducted over the next few years, as the program is ongoingand expected to continue until 2025, providing deeper insights into its effectiveness. The authorsalso plan to evaluate the impact of various program components on student outcomes and comparethe program's effectiveness with similar initiatives at other institutions, ensuring continuousimprovement and a broader understanding of its success.ReferencesAlaee, D. and Zwickl, B. (2021). A Case Study Approach To Understanding A Remote UndergraduateResearch Program., 480-485. https://doi.org/10.1119/perc.2021.pr.zohrabi_alaeeBosman, L., Soto, E., Ostanek, J., Garcia-Bravo, J., Lee, S., & Leon-Salas, W. (2023). Nsf ReuEntrepreneurially Minded Applied Energy
” Militarization in Engineering •“Especially aerospace in particular… it's split between the people who don't want to work for a defense company… and [those who] want to blow up people in the desert”This masculine environment, along with her boss watching conservative politicalvideos, made Konkon feel unsafe and uncomfortable within this technical role. Thismasculinity was present in engineering spaces on campus as well. Interestingly,Konkon equated aspects of masculinity with militarization in engineering. Shecriticized many of the masculine “dude-bro[s]” in engineering as being excited towork for defense companies and wanting to “blow people up in the desert”. Thisperception of engineering, and particularly the aerospace sector
non-traditional active military and Veteran student groups.References[1] S. E. Lewis, "Retention and Reform: An Evaluation of Peer-Led Team Learning," Journal of Chemical Education, vol. 88, no. 6, pp. 703-070, 2011.[2] L. Gafney and P. Varma-Nelson, Peer-Led Team Learning Evaluation, Dissemination, and Institutionalization of a College Level Initiative, Springer Science & Business Media, 2008.[3] J. Liou-Mark, A. E. Dreyfuss and L. Younge, "Peer Assisted Learning Workshops in Precalculus: An Approach to Increasing Student Success," Mathematics & Computer Education, vol. 44, no. 3, p. 249, 2010.[4] M. Hernandez-de-Menendez, A. V. Guevara, J. C. T. Martinez, D. H. Alcantara and R. Morales-Mendez, "Active learning in
careers.Acknowledgment: The authors thank the U. S. National Science Foundation for sponsoring theresearch through a grant NSF-ITEST-1949493.References[1] S. Lucci, S. M. Musa, and D. Kopec, “Artificial Intelligence in the 21st Century,” pp. 1– 850, 2022, Accessed: Nov. 04, 2024. [Online]. Available: https://www.torrossa.com/en/resources/an/5671176[2] I. Lee, S. Ali, H. Zhang, D. DiPaola, and C. Breazeal, “Developing Middle School Students’ AI Literacy,” in Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, Virtual Event USA: ACM, Mar. 2021, pp. 191–197. doi: 10.1145/3408877.3432513.[3] T. Kurz, S. Jayasuriya, K. Swisher, J. Mativo, R. Pidaparti, and D. T. Robinson, “Investigating Changes
their usein other courses.In conclusion, integrating assessment-based strategies like peer evaluations and bonuspoint rubrics can significantly enhance student engagement and academic performancein challenging subjects. These approaches offer a more comprehensive evaluation ofstudents' efforts and contributions, promoting a more inclusive and effective educationalexperience.AcknowledgementsSpecial thanks to: UW Stout Provost’s Office, OPID, Valerie Barske, Heather Pelzel,Sylvia Tiala, all my OPID peers.References[1] Tinto, Vincent. "Enhancing student success: Taking the classroom success seriously." Student Success 3.1 (2012). https://doi.org/10.5204/intjfyhe.v3i1.119[2] Hu, S., Kuh, G.D. Being (Dis)Engaged in Educationally Purposeful
S. M. Sait, “Rethinking engineering education at the age of industry 5.0,” J Ind Inf Integr, vol. 25, 2022, doi: 10.1016/j.jii.2021.100311.[4] J. Sonnenberg-Klein, E. J. Coyle, and K. Saigal, “How ‘Multidisciplinary’ is it? Measuring the Multidisciplinarity of Student Teams,” in 2023 Annual Conference & Exposition, Baltimore, MD: ASEE, Jun. 2023. doi: 10.18260/1-2--43350.[5] J. Mellor and S. McGoldrick, “A Multidisciplinary Team-Based Approach to Addressing Climate Change in Fall River,” in ASEE North East Section, Fairfield, CT, Apr. 2024. doi: 10.18260/1-2--45751.[6] M. H. Ahmadian, “Effective Practices in Multidisciplinary Teamwork,” in 2011 ASEE Annual Conference & Exposition, Vancouver, BC
the advising model for broaderimplementation, while also exploring additional strategies to deepen student engagement in bothacademic and extracurricular activities. It would also be very informative to compare the trendsin engineering to other programs. By fostering an inclusive, supportive educational environment,mechanical engineering programs can more effectively nurture, retain, and empower diversetalent—critical for driving innovation, promoting equity, and advancing progress in the field.References[1] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, Engagement, and Migration in Engineering Programs,” J. Eng. Educ., vol. 97, no. 3, pp. 259–278, 2008, doi: 10.1002/j.2168
difference.Comparing the grades on the weekly quizzes was more difficult. We can make some clearconclusions: week 8’s quiz is easier than week 7’s quiz as is shown in Figure 7.Figure 7. Comparison of Sections for Week 7 and Week 8 Weekly QuizzesFigure 8 shows that the Week 3 and Week 6 Quizzes foreshadowed final exam grades, but again didnot show a difference in the results from teaching modalities.Figure 8. Comparison of Sections for Week 3 and Week 6 Weekly QuizzesAnd last, we compared the overall class grades in the section. Note that these grades take intoaccount the differences discussed in Table 1. We first looked at the number of students who droppedeach section. Note that Statics is a C-wall course: students must score a C- or better to continue
, the findings fromthis work will inform a second pilot semester. In terms of research, future work will compareacross students who participated in the intervention and students who remained at the maincampus.References[1] S. Lavado-Anguera, P.J. Velasco-Quintana, and M.J. Terrón-López, “Project-Based Learning (PBL) as an Experiential Pedagogical Methodology in Engineering Education: A Review of the Literature,” Education Sciences, 14(6), 617, 2024, doi: 10.3390/educsci14060617[2] S. Atwood, M. Siniawski, and A. Carberry, “Using Standards-based Grading to Effectively Assess Project-based Design Courses,” 2014, doi: 10.18260/1-2--23278.[3] Atwood, S. A., & Scalaro, K., & Holcombe, R., “Work-in-Progress: Seizing failure as
and curriculum developers select the correct learning goals and activities for theirspecific student population.References [1] S. Isaac Flores-Alonso, N. V. M. Diaz, J. Kapphahn, et al., “Introduction to AI in under- graduate engineering education,” in 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA: IEEE, Oct. 18, 2023, pp. 1–4, ISBN: 9798350336429. DOI: 10.1109/FIE58773.2023.10343187. [2] S. Khorbotly, “Machine learning: An undergraduate engineering course,” in 2022 ASEE Illinois-Indiana Section Conference Proceedings, Anderson, Indiana: ASEE Conferences, Apr. 2022, p. 42 132. DOI: 10.18260/1-2--42132. [3] R. DeMara, A. Gonzalez, A. Wu, et al., “A crcd experience: Integrating machine learning
specific minimum ignition energy (MIE) required to trigger anexplosion4.Understanding these factors is essential for preventing and mitigating dust explosions. TheHartmann tube, a cylindrical apparatus, is commonly used to simulate dust ignition conditions toevaluate hazards posed by different types of dust under different environmental conditions. Theminimum ignition energy (MIE), minimum explosible concentration (MEC), and the dustdeflagration index (Kst), are common metrics used to evaluate the explosive severity of the dust.The Dust Deflagration Index (Kst)5 expressed as [bar*m/s] is defined as: 𝑑𝑃 1 𝑏𝑎𝑟 𝐾𝑠𝑡 = ( ) ∗ 𝑉3
. Guerra, and S. Duran Ballen, “ChatGPT to Support Critical Thinking inConstruction-Management Students,” in 2024 ASEE Annual Conference & ExpositionProceedings, Portland, Oregon: ASEE Conferences, Jun. 2024, p. 48459. doi: 10.18260/1-2--48459.[6] S. Vidalis, R. Subramanian, and F. Najafi, “Revolutionizing Engineering Education: TheImpact of AI Tools on Student Learning,” in 2024 ASEE Annual Conference & ExpositionProceedings, Portland, Oregon: ASEE Conferences, Jun. 2024, p. 47950. doi: 10.18260/1-2--47950[7] B. Qureshi, “Exploring the Use of ChatGPT as a Tool for Learning and Assessment inUndergraduate Computer Science Curriculum: Opportunities and Challenges”. 2023,https://arxiv.org/abs/2304.11214[8] M. O. Agbese, M. Rintamaki, R
.2010.06.021.[5] Australian Catholic University, J. Yoo, D. Carter, and University of Technology Sydney, “Teacher Emotion and Learning as Praxis: Professional Development that Matters,” AJTE, vol. 42, no. 3, pp. 38–52, Mar. 2017, doi: 10.14221/ajte.2017v42n3.3.[6] E. Smela, “Faculty Workshop on Teaching Sustainability”.[7] J. S. Bruner, The process of education. in The process of education. Oxford, England: Harvard Univer. Press, 1960, pp. xvi, 97.[8] L. Blum and C. Frieze, “The Evolving Culture of Computing: Similarity Is the Difference,” Frontiers: A Journal of Women Studies, vol. 26, no. 1, pp. 110–125, 2005, doi: 10.1353/fro.2005.0002.[9] D. Galvan, J. Dong, L. Schlemer, and E. Allen, “Lessons Learned: Teaching and Learning
– 277, 2012.[23] M. Micari and S. Calkins, “Is it OK to ask? The impact of instructor openness to questions on student help-seeking and academic outcomes,” Act. Learn. High. Educ., vol. 22, no. 2, pp. 143–157, Jul. 2021, doi: 10.1177/1469787419846620.[24] A. Yevelson-Shorsher and J. Bronstein, “Three Perspectives on Information Literacy in Academia: Talking to Librarians, Faculty, and Students,” Coll. Res. Libr., vol. 79, no. 4, Art. no. 4, May 2018, doi: 10.5860/crl.79.4.535.[25] J. Fagan, “Students’ Perceptions of Academic Librarians,” Ref. Libr., vol. 37, no. 78, pp. 131–148, Mar. 2003, doi: 10.1300/J120v37n78_09.[26] “Literacy Statistics 2024- 2025 (Where we are now).” Accessed: Jan. 03, 2025. [Online]. Available: https
into bothfaculty development and course design.In addition, future research should explore how institutional and peer support structures withinCoPs can reduce barriers to teaching innovation. It could also examine how CoPs help facultymanage demands between research and teaching expectations, and what recognition or rewardsystems are most effective in helping faculty continue to engage in teaching-focused efforts in aresearch-intensive university.References[1] M. Borrego and C. Henderson, "Increasing the use of evidence-based teaching in STEMhigher education: A comparison of eight change strategies," Journal of Engineering Education,vol. 103, no. 2, pp. 220–252, 2014.[2] J. Tomkin, S. Beilstein, J. Morphew, and others, "Evidence that
rocket. This initial task ensuredshe was well-prepared for the more specialized responsibilities to follow. Afterward, she delvedinto the previous work conducted with ULA on Centaur V, enabling her to catch up to thecurrent state of their test readiness process.The Vulcan Centaur, a specific rocket design developed by ULA, includes an upper stage knownas the Centaur V. This stage is fueled by liquid hydrogen and liquid oxygen, equipped with twoengines, and features cryogenic tanks insulated with foam. ET30’s primary focus was on CentaurV’s upper stage section. The Centaur V test article overview involved several critical objectives:structurally qualifying the internal and external hardware against critical failure modes, designlimits, and
training: Comparing traditional and learning by teaching approaches,” Comput. Ind., vol. 144, p. 103785, 2023.[12] J. T. Bell and H. S. Fogler, “Vicher: a virtual reality based educational module for chemical reaction engineering,” Comput. Appl. Eng. Educ., vol. 4, no. 4, pp. 285–296, 1996.[13] M. Koretsky, S. Kimura, C. Barnes, D. Amatore, and D. Meyers-Graham, “Experiential learning of design of experiments using a virtual CVD reactor,” in 2006 Annual Conference & Exposition, 2006, pp. 11–621.[14] C. Norton et al., “Development and deployment of an immersive learning environment for enhancing process systems engineering concepts,” Educ. Chem. Eng., vol. 3, no. 2, pp. e75–e83, 2008.[15] C. Pirola, C. Peretti, and F. Galli
focused on developing innovative solutions from root cause understanding, improved pace of learning, and discipline in experimentation and configuration management. She was inducted into the National Academy of Engineering in 2016 for her leadership in the development of technologies to enable areal density and reliability increases in hard disk drives and was elected a National Academy of Inventors Fellow in 2018. Dr. Hipwell is currently the Oscar S. Wyatt, Jr. ’45 Chair II at Texas A&M University, where she has developed new classes on innovation and technology development as part of her leadership of the INVENT (INnoVation tools and Entrepreneurial New Technology) Lab. She is Co-PI on a National Science
of the author and do not purport to stateor reflect the position of the United States Government or any agency thereof, including the UnitedStates Military Academy, the Department of the Army, or the Department of Defense.References 1. L. T. Eby, T. D. Allen, S. C. Evans, T. Ng, and D. Dubois, “Does Mentoring Matter? A Multidisciplinary Meta-Analysis Comparing Mentored and Non-Mentored Individuals”. Journal of Vocational Behavior, 72(2), 254-267, 2008. https://doi.org/10.1016/j.jvb.2007.04.005 2. W. B. Johnson, L. L. Behling, P. Miller, and M. Vandermaas-Peeler, “Undergraduate Research Mentoring: Obstacles and Opportunities”, Mentoring & Tutoring: Partnership in Learning, 23(5), 441
tightly connected groups. The differences are shown using a “close-up” sideto side contrast in Fig. 3. Referring back to Fig. 2, Group 2’s map revealed a more linearstructure, characterized by extended branches that reflected its higher average degree andnetwork diameter. In comparison, the maps of Group 1 and 3 exhibited more net-like structures,consistent with their higher graph density andmodularity. Similar comparison in these majormind map patterns have been discussed by othersthat referred to the pattern as “spoke”, “chain”and “net” structure [16]. Though, the linestructure referenced in the Group 2 map indicateda more linear arrangement compared to the other “Line” “Net”groups, rather than being
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