Colleges andUniversities (AAC&U)'s Center for the Advancement of STEM Leadership have successfullyimplemented formal coaching for Black women STEM faculty [35], [49]-[50].Although primarily leadership-focused, these programs include participants across variousacademic ranks. In these programs, faculty engage in structured sessions with experiencedevidence-based coaches who adhere to the eight ICF coaching competencies, (e.g., developingand maintaining a mindset that is open, curious, and client-centered; creating a safe, supportiveenvironment that promotes mutual respect and trust; and facilitating client insights and learningthrough powerful questioning and reflective practices, etc.). These programs have successfullyenhanced participants
forefront in the discourse on AI regulation and ethicsand are developing the norms of the international community with their policies [21]. 4) India is unique inits AI policy focus on inclusive AI development, making it a useful country to examine when it comes toAI in developing economies [22].For a rigorous and representative analysis, this study reviews official AI strategy and regulatory documents.Below is a list of documents chosen and reasoning for the choice: • U.S.’s Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People [23]: A non-binding document from the Office of Science and Technology Policy (OSTP) which represents US government’s ethical AI principles , that demonstrates the industry
exponential growth in the human consumption of raw and processedmaterials. As postulated by Thomas Malthus in 1798 in, “An Essay on the Principle ofPopulation,” the growth in both population and consumption may eventually exceed the ability toproduce, which suggests a need to make substantial change(s) to the nature of human activity [4].As an exercise in systems thinking, planetary boundaries have been described to measure theconsumption of raw materials - such as water, nutrients, and atmosphere – as well as biodiversity,which are under threat from depletion [5]. While there are those who hold to an alternative viewof resource abundance through technological innovation [6], on noted measures of planetaryscale phenomena the consumption of resources
University, Dec. 2, 2007, pp. 99–107.[2] P. J. Guo, "Non-native English speakers learning computer programming," in Proc. 2018 CHI Conf. Human Factors in Computing Systems, Apr. 21, 2018.[3] N. Pillay and V. R. Jugoo, "An investigation into student characteristics affecting novice programming performance," ACM SIGCSE Bull., vol. 37, no. 4, pp. 107–110, Dec. 2005.[4] D. Horton and M. Craig, "Drop, fail, pass, continue: Persistence in CS1 and beyond in traditional and inverted delivery," in Proc. 46th ACM Technical Symp. Computer Science Education, Feb. 24, 2015.[5] C. N. Guzman, A. Xu, and A. G. S. Raj, "Experiences of non-native English speakers learning computer science in a US university," in Proc. 52nd ACM
. Table 2 summarizes the results from the forced convection experiments. Table 2. Forced convection results. Airspeed Airspeed Base Ambient Thermal Power Input, before fins after fins Temperature Temperature Resistance, Q [W] [m/s] [m/s] Tb [°C] T∞ [°C] R [K/W] 15.02 2 0.5 50.0 22.0 1.86 17.21 2.5 0.9 50.3 21.5 1.67 23.16 3 1.2 49.7 20.7 1.25 23.80 3.5
asked to falsifydata (Diana Bairaktarova - DB). The course introduced the speakers via the syllabus, whichprovided a description of their profile and a profile photo (Table 2). The timing of eachsession was linked to specific lecture content, as seen in Table 1.Table 2. Organisation of living library sessions Order Guest speaker / Storyteller Linked lecture(s) of thematic sessions 1 Laura Nolan is a software engineer with two decades of Risk and uncertainty experience, with a focus on reliability in distributed in decision-making systems. In 2018, Laura left Google after being asked to
course.Active participation points were earned by students taking notes during all interviews and askingat least two questions during the semester. A Word document was provided with space to takenotes, including guided prompts such as: 1. What problem(s) are the speaker trying to solve using synthetic biology? 2. What stands out to you about the speaker’s path and/or their work or advice? 3. Describe the biological systems that the speaker builds with their work. Item Potential Points Pre-Assessment 10 Post-Assessment 10 Active Participation 20
] Mok, R.; Campanelli, M.; Datta, A.; Gupta, A.; Hickman, R.; Osthus, F.; Zwart, P. Using AILarge Language Models for Grading in Education: A Hands-On Test for Physics. arXiv preprintarXiv:2411.13685, 2024[4] J. Raj, A. Muppa; A. Dipukumar; R. Nirmal; A. Laddha; T. Kamath, S. Hong, M. Potla and M.Boicu. "Quantitative Analysis of Rubric-based Feedback Received From Claude 3.5 Sonnet onMathematical Programming Problems," 2024 IEEE MIT Undergraduate Research TechnologyConference (URTC), Cambridge, MA, USA, 2024, pp. 1-5,doi: 10.1109/URTC65039.2024.10937532.[5] H. McNichols, J. Lee, S. Fancsali, S. Ritter, and A. Lan, “Can Large Language ModelsReplicate ITS Feedback on Open-Ended Math Questions?,” 2024, arXiv: 2405.06414[6] K. M. Collins et al
correct responses to conceptual knowledge questions, and (b) Average student self-confidence ratings for structural reasoning concepts. Confidence ratings: 1 = Not confident, 5 = Very confident. Color coding is consistent across both parts of the figure to represent shared conceptual topics.References[1] Y. C. Chen, H. L. Chi, W. H. Hung, and S. C. Kang, “Use of tangible and augmented realitymodels in engineering graphics courses,” J. Prof. Issues Eng. Educ. Pract., vol. 137, no. 4, pp.267–276, 2011.[2] A. Behrouzi, J. C. Carroll, and B. Dymond, “Teaching the Equivalent Rectangular StressBlock,” in American Concrete Institute, vol. 359, p. 109, 2023.[3] A. Z
method(s)? 3) In which subjects have you used an iPad or electronic device to take notes? 4) In which subjects have you used a physical notebook to take notes? 5) What type of visual note-taking have you done in your classes or research? 6) What courses have you taken in the past 2 quarters, and how have professors presented information in these classes? 7) If you use an electronic device, what challenges have you faced with notetaking? 8) If you use a physical notebook, what challenges have you faced with notetaking? 9) If you do not use an iPad, what are your reasons? 10) If you do not use an iPad and the school provided a free iPad for academic purposes, would you switch to using the iPad for note-taking? Please
ensuring that the next generation of professionals is equipped to thrive in anincreasingly data-centric world.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber DUE-1917002. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience FoundationReferences1. Bonfert-Taylor, P., Ray, L., Pauls, S., Loeb, L., Sankey, L., Busch, J., & Hickey, T. (2022, August). Infusing Data Science into the Undergraduate STEM Curriculum. In 2022 ASEE Annual Conference & Exposition.2. Dartmouth DIFUSE: The github home for Dartmouth College’s Data Science Infused in STEM
, graduate students are still completing monthly reflections and are meeting with theirindustry mentors. Moving forward, we plan to conduct follow up interviews with students whocompleted the MCTQ in the Fall 2024 to gain insight into the reasoning behind their responses.Additionally, we plan to interview the non-academic mentors to determine their perspectives onthe projects, and improvements that can be made in the future.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.224724 and the Graduate Assistance in Areas of National Need No. P200A210109.References[1] A. Collins, J. S. Brown, and S. E. Newman, “Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics
Addiction Research Center at the University ofNebraska-Lincoln.References [1] A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, “Attention Is All You Need,” Dec. 2017. arXiv:1706.03762 [cs]. [2] A. Roberts, C. Raffel, and N. Shazeer, “How much knowledge can you pack into the parameters of a language model?,” in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (B. Webber, T. Cohn, Y. He, and Y. Liu, eds.), (Online), pp. 5418–5426, Association for Computational Linguistics, Nov. 2020. [3] A. Chowdhery, S. Narang, J. Devlin, and et al., “PaLM: Scaling Language Modeling with Pathways,” oct 2022. arXiv:2204.02311 [cs]. [4] K. Mahowald, A
in Psychology, 3(2):77–101.Chang, H. (2021). Science teachers and students metavisualization in scientific modeling. Science Education. https://doi.org/10.1002/sce.21693Citrohn, B. & Svensson, M. (2020). Technology teacher’s perceptions of model functions in technology education. International Journal of Technology and Design Education, 32(2), 805-823. https://doi.org/10.1007/s10798-020-09632-8Coppola, B. P. (2019). Engineering education: The role of pedagogical self-efficacy in teaching engineering design. Journal of Engineering Education, 108(2), 197-2015. https://doi.org/10.1002.jee.20236Dauer, J., Momsen, J., Speth, E., Makohon-Moore, S., & Long, T. (2013). Analyzing change in students
applyengineering design to produce solutions that meet specified needs with consideration of publichealth, safety, and welfare, as well as global, cultural, social, environmental, an societal contexts”(ABET, 2021, p. 8). Both ABET’s student outcomes (s/o) and CEAB’s graduate attributes (g/a)also require graduating students to have the ability to communicate well with colleagues as wellas non-engineers (ABET s/o 3, CEAB g/a 7), possess effective teamwork and leadership skills(ABET s/o 5, CEAB g/a 6), be able to appreciate the impact of their work on society and theenvironment (ABET s/o 4, CEAB g/a 9), and make decisions that reflect the ethical requirementsof the profession (ABET s/o 4, CEAB g/a 8,10)(ABET, 2021; CEAB, 2022). The presence of user-focused
"assessment of risk." Through this framing, they exposedstudents to research as early as possible in their curriculum, emphasizing these EML concepts. InBurkey et al.'s [9] paper, they piloted an REU program integrated with EM, including placingstudents in research projects that had commercialization goals and introducing EM topicsthrough weekly seminars such as "Entrepreneurs and their Paths" and "Opportunity Assessment."Through this experience, two cohorts of students reported that they felt more knowledgeableabout commercialization of products, and were able to develop and conduct experiments,generate creative ideas, and recognize business opportunities [9].Direct integration of EM into undergraduate research experiences exists very minimally
FIE, ICER, and ASEE, and brings years of teaching experience in software engineering and foundational computing courses.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER
faculty to effectively navigatethrough their emotional experiences. Improving emotional experiences will not only be a benefitto engineering faculty but beneficial to engineering faculty’s’ students and their administration.Further, the CGT model will highlight the power of positively improving strategies forimproving emotion regulation in faculty. Additionally, we aim for this study to be a basis forfurther research understanding the complex emotional experiences of engineering faculty.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the
writing in productive ways. This work was supported inpart by NSF Grant No. 2315294. Any opinions, findings, conclusions, or recommendationsexpressed in this work are those of the authors and do not necessarily reflect those of the NSF.References[1] D. Brandt, The rise of writing: Redefining mass literacy. Cambridge University Press, 2014.[2] K. J. Levine, S. Allard, and C. Tenopir, “The changing communication patterns of engineers [point of view],” Proceedings of the IEEE, vol. 99, no. 7, pp. 1155–1157, Jul. 2011.[3] J. A. Donnell, B. M. Aller, M. Alley, and A. A. Kedrowicz, “Why industry says that engineering graduates have poor communication skills: What the literature says,” in 2011 ASEE Annual Conference & Exposition
reflect the views of the National Science Foundation.References[1] S. Gehrke and A. Kezar, “STEM Reform Outcomes Through Communities of Transformation,” Change: The Magazine of Higher Learning, vol. 48, no. 1, pp. 30–38, Jan. 2016, doi: 10.1080/00091383.2016.1121084.[2] A. Kezar, S. Gehrke, and S. Bernstein-Sierra, “Communities of transformation: Creating changes to deeply entrenched issues,” Journal of Higher Education, vol. 89, no. 6, pp. 832–864, 2018, doi: 10.1080/00221546.2018.1441108.[3] V. Svihla, S. C. Davis, and N. N. Kellam, “The TRIPLE Change Framework: Merging Theories of Intersectional Power, Learning, and Change to Enable Just, Equitable, Diverse, and Inclusive Engineering Education
of confidence and competence (self-efficacy) in teaching engineering is reflected in bothquantitative and other qualitative data and is testimony to the success of the MEERC RET Site.AcknowledgementsThis material is based upon work supported by the National Science Foundation under AwardNumber 2055138. Additional support was provided by Montana State University.References[1] S. Wilger, "Definition of Frontier," in "National Rural Healt Association Policy Brief," National Center for Frontier Communities, 2016.[2] EIA. "Montana State Profile and Energy Estimates." https://www.eia.gov/state/analysis.php?sid=MT (accessed 2024).[3] D. Showalter, R. Klein, J. Johnson, and S. L. Hartman, "Why Rural Matters 2015-2016
Taskforces Concerning Critical Issues in US Undergraduate Education in the Sciences, Mathematics and Engineering (no. 3). National Science Foundation, 1989.[2] Y. Jia, T. Wang, C. Chen, and Y.-F. Jin, "Board 410: Tracing the Evolution of NSF REU Research Priorities and Trends," in 2024 ASEE Annual Conference & Exposition, 2024.[3] L. Martin-Hansen, "Examining ways to meaningfully support students in STEM," International Journal of STEM Education, vol. 5, no. 1, p. 53, 2018.[4] Y. Jin, C. Qian, and S. Ahmed, "Closing the Loop: A 10-year Follow-up Survey for Evaluation of an NSF REU Site," in ASEE Annual Conference and Exposition, Minneapolis, MN., 2022. [Online]. Available: https://peer.asee.org/41048
-School High School Science Experiences and Influence on Students’ Engineering Choices,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 6, no. 2, Jan. 2017, doi: 10.7771/2157-9288.1131.[5] F. Lewis, J. Edmonds, and L. Fogg-Rogers, “Engineering science education: the impact of a paired peer approach on subject knowledge confidence and self-efficacy levels of student teachers,” Int J Sci Educ, vol. 43, no. 5, pp. 793–822, Mar. 2021, doi: 10.1080/09500693.2021.1887544.[6] M. Riojas, S. Lysecky, and J. Rozenblit, “Adapting Engineering Education to Resource- Constrained Middle Schools: Teaching Methodologies and Computing Technologies,” in 2010 17th IEEE International Conference and
of the central roles of the designer in TD is to co-evolveboth the design space and the objective space by iteratively generating new design artifacts byarranging different combinations of variable parameters and testing their performance [5]. This iswhat we term Forward Design, which occurs when a (team of) human(s) leads the designprocess and objective-design space co-evolution by manually generating design artifacts in thedesign space and subsequently evaluating them in the objective space. However, design featuringgenerative AI-based tools, i.e., Generative Design (GD), requires the human designer to take aninverse approach to co-evolving the design and objective spaces. GD tools prompt the designerto begin by computationally defining
Engineering Students’ Recruitment and Retention,” ASEE 20246. Williamson, Smith, and McGill, “Three Bad Words: Perspectives on the Changing Landscape of Diversity, Equity, and Inclusion in Postsecondary Institutions,” ASEE 20247. T.A. Murray, S. Oerther, and K.J. Simmons, “Anti-DEI legislation targeting colleges and universities: Its potential impacts on nursing education and the pursuit of health equity,” Nurs. Outlook, vol. 71, no. 4, pp. 101994, 2023. [Online] Available: https://doi.org/10.1016/j.outlook.2023.101994.8. UN, transforming our world the 2030 agenda for sustainable development, new York, New York: United Nations, 2015. [online] available: https://sdgs.un.org/publications/transforming-our-world- 2030-agenda
example of student measurement of wave velocity in three test samples. Students repeated similar measurements at three locations on these samples, affirming good replicate data across the entire sample. Table 1: Wave Velocity Table. Material 𝑉𝐿 (in/s) 𝑉𝑇 (in/s) 2.57E+05 1.25E+05 Aluminum 6061 2.62E+05 1.25E+05 2.58E+05 1.24E+05 Young’s Modulus: Results from ultrasonic NDT closely aligned with standard values from the material datasheet, validating the
] “2023 SHPE-LDC U.S. Latinos in Engineering and Tech Report,” SHPE. Accessed: Sep. 30, 2024. [Online]. Available: https://shpe.org/news-posts/2023-latinos-in-engineering-and-tech- report/[2] “DataLab | PowerStats.” Accessed: Jan. 15, 2025. [Online]. Available: https://nces.ed.gov/datalab/powerstats/152-national-postsecondary-student-aid-study- administrative-collection-2018-undergraduates/averages-medians-percents[3] “Industry & Jobs.” Accessed: Sep. 20, 2024. [Online]. Available: https://www.elpasotexas.gov/economic-development/economic-snapshot/industry-and-jobs/[4] “UTEP College of Engineering Data Fact Sheet.” [Online]. Available: https://www.utep.edu/engineering/_files/docs/fact-sheet/coen-factsheet.pdf[5] S. R
Enhanced Search using Perplexity The second step involved using Perplexity as an AIsearch tool. The student wrote the topic, then applied the prompt “List published scholarlyarticles on this topic for literature review.” While this approach saved time, the student found thatPerplexity’s suggestions did not fully address the complexity of the research question and wereless relevant overall.Below is the List of articles provided by Perplexity: • Smith, J. A., & Brown, T. L. (2024). Artificial Intelligence in Supply Chain Negotiations: A Comprehensive Review. Journal of Supply Chain Management, 60(2), 145-163. https://doi.org/10.1111/jscm.12345 • Johnson, M. R., Lee, S. H., & Garcia, P. (2024). Leveraging AI for Optimal Bidding
Exploratory Case Study. Journal of Entrepreneurship and Business Development,3(1), 17-48. https://doi.org/10.18775/jebd.31.5002Fleck, E., Kakouris, A., & Winkel, D. (2020). Cultural traits of entrepreneurship education: Across-national study. Journal of Entrepreneurship in Emerging Economies, 13(5), 838- 863.https://doi.org/10.1108/jeee-02-2020-0030González Canché, M. S. (2023). Machine driven classification of open-ended responses(MDCOR): An analytic framework and no-code, free software application to classifylongitudinal and cross-sectional text responses in survey and social media research. ExpertSystems with Applications, 215, 119265-. https://doi.org/10.1016/j.eswa.2022.119265Guerrero, M., Urbano, D., & Gajón, E. (2020). Entrepreneurial
approaches,amplifying their impact.AcknowledgmentsThe authors sincerely thank the research participants and advisory board members for theirvaluable contributions and insights that shaped this important work. They also extend theirgratitude to their editor Alison Bowers for their assistance in reviewing and refining this paper.This material is based upon grants supported by NSF award ID 2429274; Any opinions, findings,and conclusions or recommendations expressed in this material are those of the author(s) and donot necessarily reflect the views of the National Science Foundation.References[1] Y. T. E. Chew, E. Atay, and S. Bayraktaroglu, “Female Engineers’ Happiness and Productivity in Organizations with Paternalistic Culture,” Journal of