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Conference Session
Track 6: Technical Session 4: WIP: investigate recruitment strategies used by engineering bridge and success programs to recruit underserved students
Collection
2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
Authors
Xinyu Zhang, Purdue University; Lynette Michaluk, West Virginia University; N’Diya Harris, Wright State University; Ansley Lynn Shamblin, West Virginia University
Tagged Topics
2025 CoNECD Paper Submissions, Diversity
disabled students.To broaden participation and increase diversity in engineering and computing majors in 4-yearuniversities and colleges, bridge and success programs (also called intervention programs in someliterature) such as summer bridge, engineering scholar, and bootcamp have been used to supportstudents’ college transition and retention [1-8]. Some were initially created with federal fundingsupport from U.S. National Science Foundation (NSF) Scholarships in Science, Engineering,Technology, and Mathematics Program (S-STEM) and Louis Stokes Alliances for MinorityParticipation Program (LSAMP) [9] and institutionalized later. Both S-STEM Scholars programand LSAMP Scholars program not only provide financial support to student participants but
Collection
2025 Northeast Section Conference
Authors
Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz
, strategy, and problem-solving. While Tic-Tac-Toe AI games effectively introduceWhen integrated with AI, it becomes a powerful tool for students to AI principles, their long-term impact on AIteaching computational thinking and decision-making [13]. learning and career development remains uncertain [28].Integrating AI-driven educational tools has transformed Studies suggest that while initial engagement levels are high,learning methodologies, particularly in game-based learning. it is unclear whether this translates into sustained interest in AIOne study by S. Jain and N. Khera highlights that adapting or improved academic performance in advanced AI coursesTic-Tac-Toe into an AI-driven experience
Collection
2025 Northeast Section Conference
Authors
Kristina Riesco; Yuna Ukawa; Pauline Alfreh; Eman Abdelfattah
-intensity ABAtreatment, which focuses on skills like language and social TABLE I. DATASET DESCRIPTIONinteraction, and better outcomes such as higher IQ scores and Feature Name Descriptionsuccess in general education. The research also highlightedkey factors like treatment intensity, supervision, age, andgender in optimizing learning. Neural networks were found A1 S/he often notices small sounds when others do not (score 1 for definitely/slightly agree)to be valuable in predicting mastery of specific learningobjectives and enhancing
Collection
2025 Northeast Section Conference
Authors
Boluwatife E. Faremi; Javier O. Pinzon-Arenas; Amir Mohammad Karimi Forood; Josef Kundrat; Hugo F. Posada-Quintero; Ann Marie Hoyt-Brennan; Wendy A. Henderson
this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.,” IFAC-PapersOnLine, vol. 49, no. 32, pp. 48–53, 2016, doi: 10.1016/j.ifacol.2016.12.188. REFERENCES [6] G. Campagna, D. Chrysostomou, and M. Rehm, “Investigating[1] B. C. Gin et al., “Entrustment and EPAs for Artificial Intelligence Electrodermal Activity for Trust Assessment in Industrial Human-Robot(AI): A Framework to Safeguard the Use of AI in Health
Collection
2025 ASEE PSW Conference
Authors
Sunai Kim, California State Polytechnic University, Pomona; Giuseppe Lomiento, California State Polytechnic University, Pomona; Jeyoung Woo, California State Polytechnic University, Pomona
Tagged Topics
Diversity
Hanyang University, ERICA. He is a Member of the American Society of Civil Engineers (ASCE) and a member of the Project Management Institute (PMI). ©American Society for Engineering Education, 2025 Preparations in Writing an Engineering Education Grant Kim, S.; Perez, F.; Lomiento, G.; Salem, Y.; Woo, J.AbstractAt California State Polytechnic University, Pomona (Cal Poly Pomona, CPP), two gatekeepercourses for the undergraduate students in the Civil Engineering program have been identified asStatics and Mechanics of Materials. Our university’s Civil Engineering Department is the largestundergraduate CE Department in the nation with approximately 1,600 students, graduating
Collection
2025 ASEE North Central Section (NCS) Annual Conference
Authors
Yousef Fazea, Marshall University; Yousef Sardahi, Marshall University; Asad Salem
Tagged Topics
Diversity
supportive option for its students.References [1] B. Bygstad, E. Øvrelid, S. Ludvigsen, and M. Dæhlen, "From dual digitalization to digital learning space: Exploring the digital transformation of higher education," Computers & Education, vol. 182, p. 104463, 2022. [2] R. P. Goldenson, L. L. Avery, R. R. Gill, and S. M. Durfee, "The virtual homeroom: Utility and benefits of small group online learning in the COVID-19 era," Current Problems in Diagnostic Radiology, vol. 51, no. 2, pp. 152–154, 2022. [3] V. G. Padaguri and S. A. Pasha, "Synchronous online learning versus asynchronous online learning: A comparative analysis of learning effectiveness," in Proc. AUBH E-Learning Conf., 2021. [4] K. Baba, N
Collection
2025 ASEE -GSW Annual Conference
Authors
Aroudra Syamantak Thakur, The University of Texas at Arlington
Tagged Topics
Diversity
, Abdul Hamid et al. (2018) explored engagement prediction by manpower, including Healthcare, Construction, Entertainment, Computer Conference (EDUCON), Mar. 2022, doi: https://doi.org/10.1109/educon52537.2022.9766690. using AI-assisted facial expression detection. Their model used the Bag of • Ovidiu Andrei Schipor, S. G. Pentiuc, and M. D. Schipor
Collection
2025 Northeast Section Conference
Authors
SUPARSHYA BABU SUKHAVASI; Susrutha Babu Sukhavasi; Mohammad Jaheerabi; Venkata Durga Sunanda Gangula
–318, 2009. [6] H. Thapliyal, S. Kotiyal, and M. B. Srinivas, “Novel BCD adder and5 11.035 58.687 41.198 96.396 carry skip BCD adder using reversible logic,” in Proc. IEEE Conf. Computer Systems and Applications, 2011, pp. 607–610. Table 3: Power Dissipation Data for BJN Gate Models – A [7] M. S. Islam et al., “Efficient approach for designing reversible logictable showing power dissipation for various BJN gate circuits. based sequential circuits,” IET Computers & Digital Techniques, vol. 3
Collection
2025 ASEE -GSW Annual Conference
Authors
Olukayode Emmanuel Apata, Texas A&M University; John O Ajamobe, Texas A&M University; Segun Timothy Ajose; Peter Oluwaseyi Oyewole, Kent State University, Kent; Grace Iyinoluwa Olaitan
/10.55529/jaimlnn.36.23.28Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence inthe educational space. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202345106011Alsariera, Y., Baashar, Y., Alkawsi, G., Mustafa, A., Alkahtani, A., & Ali, N. (2022). Assessment andevaluation of different machine learning algorithms for predicting student performance. ComputationalIntelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4151487Altaleb, H., Mouti, S., & Beegom, S. (2023). Enhancing college education: An AI-driven adaptivelearning platform (ALP) for customized course experiences. 2023 9th International Conference onOptimization and Applications (ICOA), 1–5. https://doi.org
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Simon Thomas Ghanat P.E., The Citadel; Scott Curtis, The Citadel
Tagged Topics
Professional Papers
conclusions.Reference[1] Martin, M.J., S.J. Diem, D.M.A. Karwat, E.M. Krieger, C.C. Rittschof, B. Bayon, M.Aghazadeh, O. Asensio, T.J. Zeilkova, and M. Garcia-Cazarin, The climate is changing.Engineering education needs to change as well. Journal of Engineering Education, 111:740-746,2022.[2] Milovanovic, J., T. Shealy, and A. Godwin, Senior engineering students in the USA carrymisconceptions about climate change: Implications for engineering education. Journal ofCleaner Production, 345, 131129, 2022.[3] Sinatra, G.M., and P.R. Pintrich (Eds.), International Conceptual Change. Lawrence Erlbaum,Mahwah, NJ, 2003.[4] P. Molthan-Hill, L. Blaj-Ward, M. F. Mbah, and T. S. Ledley, “Climate Change Education atUniversities: Relevance and Strategies for Every Discipline
Collection
2025 ASEE North Central Section (NCS) Annual Conference
Authors
Jundong Liu, Ohio University; Trevor Joseph Bihl, Air Force Research Laboratory; Daniel Masami Nagura, Ohio University
mobile robot motion planning methods: from clas- sical motion planning workflows to reinforcement learning-based architectures,” Journal of Systems Engineering and Electronics, vol. 34, no. 2, pp. 439–459, 2023. [2] E. W. Dijkstra, “A note on two problems in connexion with graphs,” Numerische Mathematik, vol. 1, no. 1, pp. 269–271, 1959. [Online]. Available: https://link.springer.com/article/10.1007/BF01386390 [3] P. E. Hart, N. J. Nilsson, and B. Raphael, “A formal basis for the heuristic determination of minimum cost paths,” IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100–107, 1968. [4] S. Koenig and M. Likhachev, “D* lite,” in Proceedings of the AAAI Conference on Artificial Intelli- gence
Collection
2025 ASEE North Central Section (NCS) Annual Conference
Authors
Seyed Mohammad Seyed Ardakani P.E., Ohio Northern University; Julia Kamatali, Ohio Northern University
effective. While the game is still in development, the proposed design representsgreat potential to improve learning in a core engineering course.References[1] R. Austin and B. Hunter, “ict policy and implementation in education: Cases in canada, northern ireland and ireland,” European Journal of Education, vol. 48, no. 1, pp. 178– 192, Feb. 2013. doi:10.1111/ejed.12013[2] O. S. Kaya and E. Ercag, “The impact of applying challenge-based Gamification Program on students’ learning outcomes: Academic achievement, motivation and flow,” Education and Information Technologies, vol. 28, no. 8, pp. 10053–10078, Jan. 2023. doi:10.1007/s10639-023-11585-z[3] L. Jaramillo-Mediavilla, A. Basantes-Andrade, M. Cabezas-González
Collection
2025 ASEE North Central Section (NCS) Annual Conference
Authors
Trevor Joseph Bihl, Wright State University; Terry Lynn Oroszi, Wright State University; Subhashini Ganapathy, Wright State University; Jeffrey B. Travers, Wright State University
Tagged Topics
Diversity
): Algorithm Details – do the authors name the machine learning method(s) used? Do they cite a quality paper for these method(s)? Do they discuss algorithmic settings? Example 1:“Linear discriminant analysis” has no algorithmic settings and means a specific function Example 2: “discriminant analysis” is unclear (i.e. there are many discriminant variants such as linear and quadratic) Example 3: Artificial neural networks have many settings (number of nodes, number of layers, types of nodes, training methods, architecture variant). All of these must be specified for repeatability Data Details – do the authors describe the source of the data or the collection means? Do they cite a source? Do they describe all data variables? Performance Result
Collection
2025 Northeast Section Conference
Authors
Shalini Jada; Xingguo Xiong; Ahmed El-Sayed; Navarun Gupta
. C¸ etin, K. Dimitropoulos, F. Tsalakanidou, K. Kose, and situational analysis [6]. O. Gunay, B. Gouverneur, D. Torri, E. Kuruoglu, S. Tozzi, et al., • Advanced Visualization Tools: Incorporate additional “A multi-sensor network for the protection of cultural heritage,” in Proceedings of the 19th European Signal Processing Conference, pp. visual analytics features, such as heatmaps and time lapse 889–893, 2011. comparisons, to visually represent wildfire progression [20] I. Bosch, A. Serrano, and L. Vergara, “Multisensor network
Collection
2025 ASEE North Central Section (NCS) Annual Conference
Authors
Daron Marshall Weekley, Marshall University; Jace A McPherson-Duckworth, Marshall University; Anastasiia Sukhanova, Marshall Community & Technical College; Ananya Jana, Marshall University
. Xu, Y. Liu, G. Wang, Z. Zhao, S. Li, and Z. Zhang, “3d tooth segmentation and labeling using deep convolutional neural networks,” IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 11, pp. 2603–2615, 2018. [7] Y. Sun, Y. Wang, Y. Wang, Z. Zhang, and Z. Zhao, “Model adaptive tooth segmentation,” in International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, 2020, pp. 442–450. [8] Z. Zhang, Y. Wang, Y. Sun, and Z. Zhao, “Darch: Deep architectures for automated tooth segmentation,” IEEE Access, vol. 7, pp. 118 712–118 721, 2019. [9] Z. Cui, Z. Li, S. Song, Y. Zhou, S. Zhuang, G. Wei, G. Li, and G. Zheng, “Deep multi-scale mesh feature learning for automated
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Saeed Rokooei, Mississippi State University; George D Ford P.E., Mississippi State University; Read Allen Robertson, Mississippi State University
Tagged Topics
Diversity, Professional Papers
Paper ID #45761A Gender-based Comparative Analysis of Motivations and Challenges in ConstructionEducationDr. Saeed Rokooei, Mississippi State University Saeed Rokooei is an associate professor in the Department of Building Construction Science at Mississippi State University. Dr. Rokooei’s primary research interests include community resilience, engineering education, simulation and serious games, project management methodologies, data analytics, creativity and innovation, and emerging technologies.Mr. George D Ford P.E., Mississippi State University Dr. George Ford P.E. is the Director of Mississippi Stateˆa C™s Building
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
James Righter, The Citadel; Nathan John Washuta P.E., The Citadel; Deirdre D Ragan, Pennsylvania State University
Tagged Topics
Professional Papers
studies could also address the impacts of team dynamics such assize, communication and leadership on the application of requirements tools and evolution [18],[19]. These studies would enable further assessment of the impact of QFD on requirementsevolution in capstone product design.References[1] D. G. Ullman, The Mechanical Design Process, 6th ed. Independence, Oregon: David G. Ullman, 2018.[2] G. Pahl and W. Beitz, Engineering Design: A Systematic Approach, 2nd ed. London: Springer, 1995.[3] B. Morkos, S. Joshi, and J. D. Summers, “Investigating the impact of requirements elicitation and evolution on course performance in a pre-capstone design course,” Journal of Engineering Design, vol. 30, no. 4–5, pp. 155–179
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Valmiki Sooklal, Kennesaw State University; Sandip Das, Kennesaw State University
Tagged Topics
Professional Papers
. Pallitt and K. Wolff, "Learning to teach STEM disciplines in higher education: A critical review of the literature," Teaching in Higher Education, vol. 24, no. 8, pp. 930-947, 2019.[2] D. Varas, M. Santana, M. Nussbaum, S. Claro and P. Imbarack, "Teachers’ strategies and challenges in teaching 21st century skills: Little common understanding," Thinking Skills and Creativity, vol. 48, p. 101289, 2023.[3] H. Jang, "Identifying 21st century STEM competencies using workplace data," Journal of Science Education and Technology, vol. 25, no. 2, pp. 284-301, 2016.[4] D. Tan, "The Significance of Integrating Engineering Design-Based Instruction in STEM Education," Science Insights Education Frontiers, vol. 24, no. 1, pp. 3827-3829, 2024
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Sultan Al Shafian, Kennesaw State University; Da Hu, Kennesaw State University; Jayhyun Kwon P.E., Kennesaw State University; Adam Kaplan, Kennesaw State University
Tagged Topics
Professional Papers
a wider range of structural elements and incorporating interactive features likequizzes and feedback would further enhance its educational value. Comparative studies withcontrol groups using traditional learning methods would also help clarify the specific advantagesof AR-based learning in civil engineering education.References[1] ACI, Building code requirements for structural concrete (ACI 318-08) and commentary. American Concrete Institute, 2008. Accessed: Nov. 08, 2024. [Online]. Available: https://books.google.com/books?hl=en&lr=&id=c6yQszMV2- EC&oi=fnd&pg=PT10&dq=Building+Code+Requirements+for+Structural+Concrete+and+ Commentary&ots=nZOlIXZCKL&sig=KMB7MQU6EE9dIpxctdYQvpox8Ws[2] S. A. Sorby
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Fazil T. Najafi, University of Florida; Jack Cuilla, University of Florida
Tagged Topics
Professional Papers
, investment and technology can reduce these expenses over time,while ash byproducts from combustion are repurposed, further minimizing landfill waste.2.4 Byproducts of BiomassWhen wood-based Biomass is burned, fly ash is the primary byproduct, along withemissions like CO₂, CO, CH₄, NOx, VOCs, PM, and trace gases [25]. Fly ash hassignificant potential as a cement substitute in concrete. Rummen et al. demonstrated thatadding 15% wood-based fly ash (WFA) improves concrete durability and compressivestrength due to pozzolanic reactions forming calcium silicate hydrate (C-S-H) gel, a keystrength component [26]. Similarly, John Zachar's study found that replacing 30% ofcement with fly ash in construction reduced material costs by $23,000 and avoided
Collection
2025 Northeast Section Conference
Authors
SUPARSHYA BABU SUKHAVASI; Sriphanindra Perali; Susrutha Babu Sukhavasi; Sneha Gundeboyena; Marisha Rawlins
area utilization compared to A 2-bit multiplexer (MUX) is a fundamental combinationalconventional adder designs. By exploring MUX-based circuit that selects one of two inputs based on a control signal. Themethodologies, this study contributes to advancing low-power VLSI Boolean equation for a 2-bit MUX is:circuit design, offering an efficient and scalable solution for modern 𝑌 = 𝐴 ⋅ 𝑆 + 𝐵 ⋅ 𝑆′digital systems. where: A, B are the input signals, S is the select signal, Y is the output. This simple structure forms the basis for implementing
Conference Session
Track 1: Technical Session 3: Beyond deficits: Developing an elicitation mechanism for engineering practitioners with ADHD to create autoethnographic counterstories
Collection
2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
Authors
Hector Enrique Rodríguez-Simmonds, Boston College; Sage Maul, Purdue University at West Lafayette (COE); Levi Xuan Li, Purdue University at West Lafayette (COE); Ruby J Barnett, Boston College
Tagged Topics
2025 CoNECD Paper Submissions, Diversity
Student with ADHD and a Reading Disability,” in Promoting Safe and Effective Transitions to College for Youth with Mental Health Conditions, A. Martel, J. Derenne, and P. K. Leebens, Eds. Cham: Springer International Publishing, 2018, pp. 95–102.[3] M. A. Zapata and F. C. Worrell, “Disability Acceptance and Affirmation Among U.S. Adults With Learning Disabilities and ADHD,” J. Learn. Disabil., vol. 57, no. 2, pp. 79–90, Mar. 2024.[4] S. Maul and R. Figard, “Diminishing the data divide: Interrogating the state of disability data collection and reporting,” presented at the American Society for Engineering Education 2024, Portland, OR, 2024.[5] Learning Disabilities Association of America, “ADHD – Affects focus, attention and
Collection
2025 ASEE North Central Section (NCS) Annual Conference
Authors
Leslie Hopkinson, West Virginia University; Lynette Michaluk, West Virginia University; Lizzie Santiago, West Virginia University
by the National Science Foundation under Grant No.2406798. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. Godwin and A. Kirn, “Identity-based motivation: Connections between first-year students’ engineering role identities and future-time perspectives,” Journal of Engineering Education, vol. 109, no. 3, pp. 362–383, 2020, doi: 10.1002/jee.20324.[2] S. Liu, S. Xu, Q. Li, H. Xiao, and S. Zhou, “Development and validation of an instrument to assess students’ science, technology, engineering, and mathematics identity,” Phys. Rev. Phys. Educ. Res., vol. 19, no. 1, p
Collection
2025 ASEE PSW Conference
Authors
Christine E King, University of California, Irvine; kadin diec, University of California, Irvine; Dalton Salvo, University of California, Irvine
Tagged Topics
Diversity
research will track how unmet needs evolve into capstoneprojects, intellectual property, and startups or non-profits, demonstrating the platform’s long-term impact on healthcare innovation and engineering education.References:[1] A. Singh and D. Ferry, "Identifying Unmet Needs in Biomedical Engineering ThroughBridging the Gap Between Classroom and Clinic," in 2015 Spring ASEE Middle Atlantic SectionConference, 2015.[2] J. S. Stephens, S. I. Rooney, E. S. Arch, and J. Higginson, "Bridging courses: unmet clinicalneeds to capstone design (work in progress)," in 2016 ASEE Annual Conference & ExpositionProceedings, New Orleans, LA, USA, June 26, 2016. Available: ASEE PEER https:// doi. org/10. 18260/p. 26393.[3] J. Kadlowec, T. Merrill, S. Sood, J
Collection
2025 ASEE -GSW Annual Conference
Authors
Mengqi Monica Zhan, University of Texas at Arlington; Grace Ellen Brannon, The University of Texas at Arlington; Liwei Zhang, The University of Texas at Arlington; Frank K. Lu, The University of Texas at Arlington
Tagged Topics
Diversity
degree plan choices: A qualitative study with engineering and communication students," submitted to the International Communication Association's Annual Conference, 2025.6. E. L. Deci and R. M. Ryan, "Self-determination theory," in Handbook of Theories of Social Psychology, vol. 1, pp. 416-436, 2012.7. M. S. Eickholt, "The effect of superiors' mentoring on subordinates' organizational identification and workplace outcomes," Master’s Thesis, West Virginia University, 2018.8. K. Kricorian, M. Seu, D. Lopez, and others, "Factors influencing participation of underrepresented students in STEM fields: Matched mentors and mindsets," International Journal of STEM Education, vol. 7, no. 16, 2020.9. S. L. Kuchynka, A. E
Collection
2025 ASEE -GSW Annual Conference
Authors
Rojan Shrestha, The University of Texas at Arlington
Tagged Topics
Diversity
Health, Volume 28, 2023, 100395, ISSN 2352-6483, doi: 10.1016/j.smhl.2023.100395 for successful implementation of AI in educational systems. P = (K × U)/2                              (1) C = 5 - (D + R + S + L)/4              (2) educational initiatives aimed at increasing AI literacy could be effective in [6] Z. Xiong, C. Wang, Y. Li, Y. Luo and Y. Cao, "Swin-Pose: Swin Transformer Based Human Pose Estimation," 2022 IEEE where Where improving student perceptions. 5th
Collection
2025 Northeast Section Conference
Authors
Chushun Wang; A. Umit Coskun; Kai-tak Wan
in a fluid flowbalance equation and the Colebrook friction equationsimultaneously, using an iterative method prone to numerical CD: Dimensionless drag coefficient of an object of well-errors. A better way is a graphical method where the equations defined geometryare plotted on a Moody’s chart and the solution derived by A: Planform or frontal area of an immersed body subject tolocating the intersection(s) of relevant curves. This paper fluid flowintroduces a new Matlab app for such purpose and demonstratesits capability to find (i) flow velocity and (ii) pipe diameter, given There are pragmatic engineering problems that requiresall other relevant parameters. The
Collection
2025 PNW Section Annual Meeting
Authors
Stephanie Wettstein
aprofessional context. One student mentioned “My favorite was Speaker 3’s water treatmentjigsaw because I thought it was a good mix of learning about cost-benefit analysis (bothcapital/operating costs and system trade-offs)." Finally, approximately 30% of studentsmentioned a topic that related to connections, particularly with the connection to the real-worldand client conversations. For example, one student stated “[Speaker 4’s activity] made us thinkoutside of the world of strictly engineering and showed us what the other side does.” Theseresponses illustrate how the jigsaw activities reinforced key engineering concepts while alsointroducing students to EM. They fostered curiosity, value creation, and recognition of real-worldconnections which are
Conference Session
Track 7: Technical Session 4: Diversity in STEM: Strategies of Professional Engineering Organizations in Recruiting and Retaining Women from Minority-Serving Institutions
Collection
2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
Authors
Rebeca Petean, Society of Women Engineers; Roberta Rincon, Society of Women Engineers
Tagged Topics
2025 CoNECD Paper Submissions, Diversity
fields [26].Ultimately, the STEM workforce should reflect the population it serves. However, research bythe National Science Foundation finds “Hispanic, Black, and American Indian or Alaska Nativepersons collectively account for 37% of the U.S. population ages 18–34 years in 2021, and 26%of S&E bachelor’s, 24% of S&E master’s, and 16% of S&E doctoral degrees earned by U.S.citizens and permanent residents in 2020” [27]. In addition, women earned 51% of S&Ebachelor’s, 51% of S&E master’s, and 47% of S&E doctoral degrees in the U.S. in 2020, butdespite women’s high levels of representation in S&E (which includes the life sciences andsocial sciences), women of color earned only 14.9% of all S&E bachelor’s degrees [27
Conference Session
Track 6: Technical Session 3: Breaking Barriers: Unveiling the Journeys and Triumphs of Faculty Women of Color in STEM Academia
Collection
2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)
Authors
Kemesha Gabbidon, University of South Florida; Saundra Johnson Austin, University of South Florida
Tagged Topics
2025 CoNECD Paper Submissions, Diversity
funding. I need to show that I am being active in seeking funding, I have to be actively applying for grant proposals and it's in my field it's mostly NSF. I need to have publications in peer reviewed journals [and] presentations. You know, all that stuff and then in service. All the etcetera like that that drawer at your home, where you just throw everything else. Everything else goes there. The junk drawer, that[‘s] service everything else. – Mila, Latina, Puerto Rican• Motives – a psychological feature that arouses a person to action to meet a specific goal. In terms of EM, this can be framed as achievement orientation, impact, and value creation.• Achievement orientation - A focus on setting and reaching goals, often