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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
priorexperience with learning coaches. Additionally, it explores the unique contributions of learningcoaches in fostering undergraduate students’ innovative capacities, providing valuable insightsinto the differential impact of mentorship, and informing scalable practices for educationalinstitutions.MethodologyThis study was conducted in a biomedical engineering program utilizing an IBL framework. Thepre- and post-surveys were adapted from Gerber et al.’s [11] Innovation Efficacy Scale (IES), avalidated tool for assessing ISE. The adapted survey can be found in Appendix A. This scaleevaluates dimensions such as creative problem-solving, interdisciplinary thinking, andconfidence in decision-making. Minor modifications were made to ensure the surveys
integration of MHcomponents into DRM, enabling a more effective approach to strengthen resilience and enhanceoverall well-being.References[1] C. Calle Müller and M. Elzomor, “Origami Housing: An Innovative and Resilient Post- Disaster Temporary Emergency Housing Solution,” Journal of Architectural Engineering, vol. 30, no. 3, p. 04024025, Jul. 2024, doi: 10.1061/JAEIED.AEENG-1809.[2] E. Hendriks and A. Opdyke, “The influence of technical assistance and funding on perceptions of post-disaster housing safety after the 2015 Gorkha earthquakes in Nepal,” International Journal of Disaster Risk Reduction, vol. 73, Apr. 2022, doi: 10.1016/j.ijdrr.2022.102906.[3] T. Cela, L. H. Marcelin, N. L. Fleurantin, and S. Jean Louis
- 9830.2012.tb01127.x.[6] National Research Council, “Engineering in K-12 Education: Understanding the Status and Improving the Prospects.” Washington, DC: The National Academies Press, 2009. [Online]. Available: https://doi.org/10.17226/12635[7] Y.-H. Chien, C.-Y. Liu, S.-C. Chan, and Y.-S. Chang, “Engineering design learning for high school and college first-year students in a STEM battlebot design project,” Int. J. STEM Educ., vol. 10, no. 1, p. 10, Feb. 2023, doi: 10.1186/s40594-023-00403-0.[8] J. Watkins, K. Spencer, and D. Hammer, “Examining Young Students’ Problem Scoping in Engineering Design,” J. Pre-Coll. Eng. Educ. Res., vol. 4, no. 1, pp. 43–53, 2014, doi: https://doi.org/10.7771/2157-9288.1082.[9] N. Crilly and C
clean energyand sustainability education, are essential in achieving these goals by equipping educators withthe knowledge and tools necessary to inspire and prepare students [8-10].The growing emphasis on building decarbonization has led to initiatives like the StanfordBuilding Decarbonization Learning Accelerator (BDLA), which aims to empower faculty withcutting-edge resources to integrate sustainability topics into architecture, engineering, andconstruction courses [11]. These efforts align with broader global strategies, such as theEuropean Union’s Level(s) framework and the World Green Building Council Net Zero CarbonBuildings Commitment, to reduce the carbon footprint of the built environment [12, 13].However, implementing these strategies
this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. Bandura, “Self-Efficacy,” in The Corsini Encyclopedia of Psychology, Hoboken, NJ,USA: John Wiley & Sons, Inc., 2010, p. corpsy0836. doi: 10.1002/9780470479216.corpsy0836.[2] A. Bandura, “Self-efficacy: Toward a unifying theory of behavioral change.,” Psychol.Rev., vol. 84, no. 2, pp. 191–215, 1977, doi: 10.1037/0033-295X.84.2.191.[3] R. W. Lent, S. D. Brown, and G. Hackett, “Social cognitive career theory,” CareerChoice Dev., vol. 4, no. 1, pp. 255–311, 2002.[4] A. L. Zeldin and F. Pajares, “Against the Odds: Self-Efficacy Beliefs of Women inMathematical, Scientific, and Technological Careers,” Am
related studies collected PCO data from individual engineeringstudents also exist, providing evidence that 1) students from different engineering majors mightperceive cultural dimension(s) at different levels [24], and 2) a subset of cultural orientations hadsignificant correlations with a crucial team dynamic construct, psychological safety [25].Therefore, we contend that understanding the dominant and non-dominant cultural profilesperpetuating among engineering students has great potential to inform strategies to addresseducational disparity. There is also a need to reveal the patterns of cultural orientationsembedded in engineering students with an established framework to pave the foundation forstudies advancing culture-related scholarship
featuring some notable articles onperovskite solar cells (PSCs):Additionally, when AI tools are used to generate or process documents, questions of intellectualproperty arise—particularly concerning ownership and copyright of AI-generated content whichwe plan to address during our session.Reference List in IEEE Style on Perovskite Solar Cells (PSC)Journal Article:[19] M. Green, A. Emery, D. H. Lee, and W. Warta, "Solar cell efficiency tables (version 44),"Progress in Photovoltaics: Research and Applications, vol. 24, no. 1, pp. 3-12, Jan. 2016.Review Article:[20] H. J. Snaith, "Perovskite solar cells: An emerging technology," Journal of PhysicalChemistry Letters, vol. 4, no. 21, pp. 3623-3630, Nov. 2013.Research Article:[21] S. K. R. M. K. Choi, A
of these lessons by providingaccessible and engaging training in a safe environment.References [1] S. M. Fiore, T. J. Wiltshire, S. Greiff, J. Andrews-Todd, P. W. Foltz, and F. W. Hesse, “Advancing the science of collaborative problem solving,” Psychological Science in the Public Interest, vol. 19, no. 2, pp. 59–92, 2018. [2] O. for Economic Co-operation and Development, PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving. Paris: OECD Publishing, 2017. [3] B. of Labor Statistics, “Occupational outlook handbook: Data scientists,” 2023. Accessed: 2025-01-13. [4] E. A. Vance and H. S. Smith, “The asccr frame for learning essential collaboration skills,” arXiv
-efficacy and STEM identity in the context of structural inequalities,pointing to directions for future research for both SCCT and PVEST.References[1] R. W. Lent and S. D. Brown, “Social cognitive model of career self-management: Toward a unifying view of adaptive career behavior across the life span.,” J Couns Psychol, vol. 60, no. 4, pp. 557–568, 2013, doi: 10.1037/a0033446.[2] Y. Yang, Y. Maeda, and M. Gentry, “The relationship between mathematics self-efficacy and mathematics achievement: Multilevel analysis with NAEP 2019,” Large Scale Assess Educ, vol. 12, no. 1, 2024, doi: 10.1186/s40536-024-00204-z.[3] A. V. Maltese and R. H. Tai, “Pipeline persistence: Examining the association of educational
cybersecurity and digital forensics). Further iterations of the chatbot will focus onimproving its ability to facilitate collaborative learning, assist with project-based assessments,and provide actionable feedback to students and instructors.References[1] Maderer, J. “Artificial Intelligence Course Creates AI TeachingAssistant,”https://news.gatech.edu/news/2016/05/09/artificial-intelligence-course-creates-ai-teaching-assistant, May 2016, accessed January 2025.[2] Chopra, S., Gianforte, R., and Sholar, J. “Meet Percy: The CS 221 Teaching AssistantChatbot,” ACM Transactions on Graphics, Vol. 1 (1), December 2016.[3] Lluna, A. P. “Creation and Development of an AI Teaching Assistant,” Master’s Thesis,Universitat Politecnica de Catalunya, 2017/2018.[4
students collaboratively fill out the team’s project timeline on the whiteboard using course due dates and noting check-in days, sponsor meetings, team- or sponsor-driven deadlines, etc. • 10–20 minutes: Definite preliminary requirements (or refine them/elaborate on features for teams that have already developed a list of requirements). Group requirements by iterations. For traditional software projects, teams might opt to express requirements functionally, as use cases, or as user stories. For games projects, teams will need to define the genre of the game, who the playable characters are, and the goal(s) of the game (may include win/lose conditions), in addition to gameplay rules and mechanics. Reflect on
described in Section 3.1. The extra credit points from SEP-CyLE were computed as apercentage ratio of the student(s) with the highest number of virtual points. The student(s) withthe most virtual points received 3% extra credit course points.The grades for each course project deliverable consist of four components: presentation (21%),demonstration (12.6%), documentation (50.4%), and peer evaluation (16%). The peer evaluationconsists of the members of a team grading each other using a peer evaluation rubric provided bythe instructor. The rubric includes four criteria: Helping - assistance provided by a team memberto other team members, Participating - contribution and attendance by a team member at teammeetings, Questioning - the level at which the
learning pedagogies prior to the workshop. All our participants engaged with thepedagogies wholeheartedly and gave valuable feedback on how to improve future iterations ofthe workshop.References[1] E. Mazur, “Peer instruction: Getting students to think in class.,” in AIP conferenceproceedings (Vol. 399, No. 1). American Institute of Physics., pp. 981-988, 1997.[2] iClicker. “Student response systems & classroom engagement tools.”,https://www.iclicker.com/ (accessed Dec. 2023).[3] Gopal, B. and Cooper, S., Pogil-like learning in undergraduate software testing anddevops-a pilot study. In Proceedings of the 27th ACM Conference on on Innovation andTechnology in Computer Science Education Vol. 1 (pp. 484-490), 2022.[4] Gopal, B. and
. Ericson and G. Wollin, “Micropaleontology,” Sci. Am., vol. 207, no. 1, pp. 96–108.[2] R. W. Jones, Foraminifera and their applications, 1st ed. Cambridge: Cambridge university press, 2014.[3] L. Capotondi, C. Bergami, G. Orsini, M. Ravaioli, P. Colantoni, and S. Galeotti, “Benthic foraminifera for environmental monitoring: a case study in the central Adriatic continental shelf,” Environ. Sci. Pollut. Res., vol. 22, no. 8, pp. 6034–6049, Apr. 2015, doi: 10.1007/s11356-014-3778-7.[4] F. R. Gío Argáez, B. B. Martínez Villa, X. A. Nava Fernández, and V. Zamora Pérez, “Microfossils as proxies: Paleoecological and paleoceanographic indicators,” in Past Environments of Mexico, R. Guerrero-Arenas and E. Jiménez-Hidalgo, Eds., in
by Walton and Cohen [23].Participants’ demographic information is collected using two open-ended questions: “What isyour major or intended major?” and “What is your gender identity?” on the pre survey. A fewopen-response questions prompted students to reflect on the sources of their growth, such as“What experience(s) in this course have contributed to your confidence in building circuits?” and“What did you learn from the practicum experience?” on the post survey. Also on the postsurvey, students were asked to respond on a 7-point Likert scale to the item, “After taking thiscourse, I'm more likely to incorporate electronics into my future creative or personal projects.”The complete survey instrument can be found in the Appendix.ResultsStudent
search of Google Scholar yields over five million research documents using orpurporting to define “innovation,” many in very specific contexts or with certain connotations [5]. Whilethere are some papers using innovation and invention interchangeably, there is a significant trend toinclude bringing the idea to practice, or implementation, as necessary for innovation.In order to emphasize the consequences (positive or negative) of innovation and link it directly toeconomic development, we expand the definition to: Innovation = Idea + Implementation + Impact.This is the first set of three “I”s – those used in defining innovation succinctly. The purpose of thisexpansion is to add clarification as to the components that
, labs aredynamic spaces – with people, reagents, data, ideas, money and more flowing through them – andPIs in practice must figure out how to harness this dynamism in ways that result in new knowledgeand well-trained scientists/engineers, while maintaining at least a relatively consistent lab identity.This process can be full of surprises and challenges, and can require significant intellectual andemotional investment by the PI. Having peers and mentors with whom to share experiences andideas can help to support the everyday but often invisible work of steering and maintaining a lab.In January 2024, Author 1 joined Author 2’s research group as a postdoctoral scholar, to work on aproject exploring the relationship between care and control in
teaching them crucial AI ethics and trained them to advocate for safer AI systems. We also reflectupon the ways in which the course can be improved in future iterations. We hope this paper inspires others across Engineering departments and institutions to develop AI ethicscourses. As we write this, the dangers of AI being used ubiquitously are growing by the day, and calls for slowingdown and taking stock of potential impacts are falling upon deaf ears. The responsibility, as always, falls upon us aseducators and practitioners to prepare our future generations to be more responsible in their AI work, and that workbegins in the classroom.AcknowledgmentsAnonymized for this submission.References[1] S. Ghosh et al., ‘Do Generative AI
colleague, Dr.Susan B. Nolen, Professor Emerita at the University of Washington, for her feedback on earlierdrafts of this work.References[1] M. D. Koretsky et al., “The AIChE Concept Warehouse: A web-based tool to promote concept-based instruction,” Advances in Engineering Education, vol. 4, no. 1, p. 27, 2014.[2] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics,” Proc. Natl. Acad. Sci. U. S. A., vol. 111, no. 23, pp. 8410–8415, Jun. 2014, doi: 10.1073/pnas.1319030111.[3] M. Prince, “Does active learning work? A review of the research,” J. Eng. Educ., vol. 93, no. 3, pp. 223–231, 2004, doi: 10.1002/j.2168-9830.2004.tb00809.x.[4] M. D. Koretsky, S. B
session, the objectives are todefine N+ source/drain regions on silicon wafers forNMOS fabrication process, and then selectively etch theN+ S/D regions for the following diffusion process. Bythe end of lab 6, student have completed total 21 differentsteps in the fabrication process. Throughout these Figure 7. Wafer status after Lab 6.processes, students use baking ovens, wet benches andmake use of chemical resistant personal protectiveequipments (PPEs).Lab Session 7: The objectives of lab 7 are to diffusePhosphorus dopants into N+ source/drain regions withinthe p-wells on the silicon wafer using solid dopantsources (Fig. 8), and then to characterize the electricalproperties of the
. Accessed: Jul. 17, 2024. [Online]. Available:https://hbr.org/2017/06/does-diversity-actually-increase-creativity[2] S. Harvey, “A different perspective: The multiple effects of deep level diversity on groupcreativity,” J. Exp. Soc. Psychol., vol. 49, no. 5, pp. 822–832, Sep. 2013, doi:10.1016/j.jesp.2013.04.004.[3] J. Wang, G. H.-L. Cheng, T. Chen, and K. Leung, “Team creativity/innovation inculturally diverse teams: A meta-analysis,” J. Organ. Behav., vol. 40, no. 6, pp. 693–708, Jul.2019, doi: 10.1002/job.2362.[4] “Criteria for Accrediting Engineering Programs, 2024 - 2025,” ABET. Accessed: Dec.19, 2024. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2024
Master Training Specialist Certification (the military’s highest instructor accreditation), Nuclear Professional Engineer Certification, two Naval Achievement Medals, the Military Outstanding Volunteer Service Medal, and a Naval Commendation Medal for his work troubleshooting and repairing the Moored Training Ship 635’s reactor and electrical distribution faults. Following his transition from active duty, Bryan earned his PhD as a member of both the Computation and Advancement of Sustainable Systems Lab, where he developed a new method for distributed system demand estimation, and at the Sustainable Design and Manufacturing lab, where his work focused on increasing System of System resilience. Bryan’s work has been
commitment to fostering innovative,transdisciplinary approaches in higher education played a critical role in shaping both the directionand depth of this work.References[1] M. S. Thompson et al., “What is Convergence?: A Systematic Review of the Definition of and Aspects of Convergent Work,” in 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA: IEEE, Oct. 2023, pp. 1–5. doi: 10.1109/FIE58773.2023.10343511.[2] S.-W. Kim and Y. Lee, “Developing Students’ Attitudes toward Convergence and Creative Problem Solving through Multidisciplinary Education in Korea,” Sustainability, vol. 14, no. 16, Art. no. 16, Jan. 2022, doi: 10.3390/su14169929.[3] W. S. Bainbridge and M. C. Roco
School Admissions Duan, D., Rico, C. A., García-Bayona, L., Blanco, A. T., Agreda, Y. S., Villegas Rodríguez, G. J., Ceja, A., Martinez, V. G., Goldman, O. V., & Fernandez, R. W. Hispanic/Latinx STEM Majors Applying Monarrez, A.,; Frederick, 2024 to