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essential insights on how to supportdiverse student groups in the field, with the goal of unlocking their talents, broadening theirperspectives, fostering more innovative ideas in engineering, and contributing to thesustainable development.References[1] S. Pennisi, "Pandemic, shortages, and electronic engineering," IEEE Circuits and SystemsMagazine, vol. 22, no. 3, pp. 41–49, 2022. doi: 10.1109/MCAS.2022.3189891.[2] J. Trevelyan, "Transitioning to engineering practice," European Journal of EngineeringEducation, vol. 44, pp. 821–837, 2019. doi: 10.1080/03043797.2019.1681631.[3] R. Trafford, D. Chakraborty, and R. P. Ramachandran, "Early impacts on retention andcurriculum after introducing a first-year experience course," in 2024 IEEE
. Garber; J. Tritschler; R.Taylor; and S. Thomas. Our students are the beneficiaries.References[1] R. Scott, “First-year seminars: a recipe for retention,” HigherEdJobs, October 28, 2024.[2] 2023 National Survey on the First-Year Experience, 43rd Annual Conference on First-Year Experience and Students in Transition, February 18-21, 2024, Seattle, WA.[3] A. Vaughan, S. Pergantis, and S. Moore, Assessing the difference between 1-, 2-, and 3- credit first-year Seminars on college student achievement, J. First-Year Experience & Students in Transition, Vol. 31, No. 1, pp. 9-28, Spring 2019.[4] C. Seemiller and M. Grace, Generation Z Goes to College, Jossey-Bass, 2016.[5] C. Seemiller and M. Grace, Generation Z Leads: A Guide for Developing
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explanations. This feature would likely be an addition to the Modules chatbot.Appendix:Data Analysis on Google Collab:https://colab.research.google.com/drive/1THSLRLCfCnxlX0nquINq72qrwuKJMwCC?usp=sharingReferences:1. Yilmaz R., and Yilmaz, F., “The effect of generative artificial intelligence (AI)-based tool use on students’ computational thinking skills, programming self-efficacy and motivation”, Computers and Education: Artificial Intelligence, Volume 4, 2023. https://doi.org/10.1016/j.caeai.2023.100147.2. Moore, S., Nguyen, H. A., Bier, N., Domadia, T., and Stamper, J., “Assessing the quality of student-generated short answer questions using GPT-3”, EC-TEL 2022: Educating for a new future: Making sense of Technology-Enhanced Learning
models. Expand a new perspective to the broader system and set the business up forsuccess in an interconnected world. There is no rigid start and end point. Circular design thinkingis an iterative process of continuous learning, prototyping, and feedback loops. The engineeringteam continuously returns to the user(s) as their perspectives fit within the system and iterates onthis business model. They will have to adapt as needed and continue to reference this as ititerates on the best possible solution.A discretionary business model. Osterwalder & Pigneur [20] developed this Circular BusinessModel Canvas for Circular Designs:Key Partnerships. How might the engineering team strengthen its partnerships with organizationsacross the value chain
, possessing limitations. diagrams, and/or text. Assumptions Differences from the referent that Represented as a directed connection define the model. e.g., idealization from the referent to the model. All of the referent [21], neglect of assumptions lead to some limitation(s). natural phenomena outside the system boundary. Limitations Aspects of the referent that cannot Represented as a directed connection be represented by the model. from the model to the referent. All limitations arise from some assumption
variables (items) inwhich factor loadings ranged from 0.743 to 0.813. Factor 2 and Factor 3 each included threeobserved items. Factor 2’s observed variables demonstrated exceptional results with twoobserved variables (CON-12 and CON-17) to be values greater than 1, indicated a strongalignment between the observed data and the hypothesized clustering of this factor. Factor 3demonstrated relatively lower results of 0.812, 0.741, and 0.635 but all are still above therecommended threshold of inclusion (0.04). Factor 4 included six observed variables with factorloadings ranging from 0.633 to 0.891, with CON-9 demonstrating the highest factor loading ofthe cluster. With this, all factor loadings for the indirect assessment instrument measuringConnections
STEM: Women, minorities, and persons with disabilities,” National Center for Science and Engineering Statistics, Alexandria, VA, NSF 23-315, 2023. [Online]. Available: https://ncses.nsf.gov/wmpd[3] V. Tinto, Leaving college: Rethinking the causes and cures of student attrition, 2nd ed. Chicago: University of Chicago Press, 1993.[4] J. Bean and S. B. Eaton, “The psychology underlying successful retention practices,” J. Coll. Stud. Retent. Res. Theory Pract., vol. 3, no. 1, pp. 73–89, May 2001, doi: 10.2190/6R55-4B30-28XG-L8U0.[5] B. F. French, J. C. Immekus, and W. C. Oakes, “An examination of indicators of engineering students’ success and persistence,” J. Eng. Educ., vol. 94, no. 4, pp. 419–425, 2005, doi: 10.1002
Engineers:Revolutionizing Engineering Departments (IUSE/PFE: RED) Program Solicitation.” Accessed:Jan. 15, 2025. [Online]. Available: https://new.nsf.gov/funding/opportunities/iusepfe-red-iuseprofessional-formation-engineers-revolutionizing/nsf24-564/solicitation[2] F. Aloul, I. Zualkernan, G. Husseini, A. El-Hag, and Y. Al-Assaf, “A case study of a college-wide first-year undergraduate engineering course,” Eur. J. Eng. Educ., vol. 40, no. 1, pp. 32–51,2015, doi: 10.1080/03043797.2014.903229.[3] M. V. Jamieson, A. S. Ead, A. Rowe, and J. Miller-Young, “Design at Scale in a First-YearTransdisciplinary Engineering Design Course,” International Journal of Engineering Education,vol. 38, no. 1, pp. 14--24, 2022.[4] A. Nuñez-Thompson, A. Saterbak, C. Rincon, J. Stelling
transfer in biological systems. Students worked in teams to build confidence withexperimental and analytical skills while deepening their understanding of biological systems. Inthis project, students tested the properties of soils that emulated other permeable materialsrelevant to bioengineering.Forming Teams with CATMECATME’s Team-Maker software [19] was utilized to diversify teams of students in BIOE 120.Students completed a survey that requested data about their racial and ethnic identity, genderidentity, college (e.g., Engineering, Liberal Arts and Sciences, Business), major(s), and classyear (Table 2a). They were then asked to rate their experience level with various technical skillsas well as their preferred leadership style and if they
://engineeringunleashed.com/framework.[2] “Start with design,” Hasso Plattner Institute of Design at Stanford University, 2025,https://dschool.stanford.edu/resources/get-started-with-design.[3] P. Lencioni, The 6 types of working genius: A better way to understand your gifts, yourfrustrations, and your team. Dallas, TX: Matt Holt Books, an imprint of BenBella Books, Inc,2022.[4] D. Fay, C. Borrill, Z. Amir, R. Haward, and M. A. West, “Getting the most out ofmultidisciplinary teams: A multi-sample study of team innovation in health care,” Journal ofOccupational and Organizational Psychology, vol. 79, no. 4, pp. 553–567, Dec. 2006.[5] H.-G. Le, S. Sok, and K. Heng, “The benefits of peer mentoring in higher education: findingsfrom a systematic review,” Journal of
Journal of Engineering Education, vol. 32, no. 1, pp. 333–347, 2016.[6] N. L. Fortenberry, J. F. Sullivan, P. N. Jordan, and D. W. Knight, “Engineering education research aids instruction,” Science, vol. 317, no. 5842, pp. 1175–1176, 2007.[7] S. McGuire, S. Y. McGuire, and T. Angelo, Teach students how to learn: Strategies you can incorporate into any course to improve student metacognition, study skills, and motivation. Routledge, 2015.[8] A. Kramer, C. Wallwey, G. Thanh, E. Dringenberg, and R. Kajfez, “A Narrative-Style Exploration of Undergraduate Engineering Students’ Beliefs about Smartness and Identity,” in 2019 IEEE Frontiers in Education Conference (FIE), Covington, KY, USA: IEEE, Oct. 2019, pp. 1–9. doi
opportunities. The results also show that the in-personprograms consistently outperformed the virtual programs in meeting certain program objectives,specifically in building connections with other students and introducing students to ongoingresearch through interactions with faculty and lab tours. However, both virtual and in personparticipants felt the program was valuable for incoming students in the GCSP.Introduction and MotivationThe Grand Challenges Scholars Program (GCSP) at Arizona State University (ASU), establishedin 2011, is one of more than 90 GCSPs in the international GCSP Network that aims to prepareengineering graduates with broader perspectives and skills to tackle the National Academy ofEngineering (NAE)’s Grand Challenges for
contexts. These objectivesalign with the principles of adaptive expertise, highlighting the importance of educationalstrategies that prepare students for dynamic professional environments.Despite its importance, adaptive expertise is often underemphasized in first-year engineeringcourses. Traditional curricula frequently focus on routine skills, such as machining or drafting,with limited opportunities for students to engage in open-ended, iterative design processes. Thispaper seeks to address this gap by demonstrating how the integration of Kolb’s ExperientialLearning Cycle, iterative prototyping, and structured coaching can foster adaptive expertise infirst-year students. By building on prior research, such as Larson et al.’s [3] work on
Proceedings, Fron-tiers in Education 2000 Conference, pp. 7–12.[4] C. J. Tman, J. R. Chimka, K. M. Bursic, and H. L. Nachtmann, “A Comparison of Freshman and Senior Engineering Design Processes,” Design Studies, vol. 20, no. 2, pp. 131–152, 1999.[5] C. J. Atman, M. Cardella, J. Turns, and R. S. Adams, “Comparing Freshman and Senior Engineering Design Processes: An In-Depth Follow-up Study,” Design Studies, vol. 26, no. 4, pp. 325–357, 2005.[6] R. Goff and J. Terpenny, “Engineering design education - core competencies,” in 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Nashville, Tennessee, 2012.[7] A. Jariwala, R. Pucha, T. Pleasant, S. Kundalia, A. Nolen, and D. Ranjan
Pre + Post 1=Beginner to 5=Expert Attitude towards tech challenge How much did you enjoy the tech challenge project you Post 1=Did not enjoy at all to worked on all week? 5=Enjoyed it a lot How well did you work with your team? Post 1=Did not work well together at all to 5=Worked together very well Psychological safety (Cronbach’s α = .80) I felt comfortable talking to the project advisor(s) about Post 1=Not true at all to my questions
programs of choice) dominate as the primary stressors across all demographic groups,although statistically significant differences based on gender, nationality, and level of disabilityare observed. A new intervention to guarantee some students placement into their second-yearprogram of choice was expected to address one of the most significant stressors (second-yearprogram placement), but data collected to date shows these students have lower well-beingscores, higher stress scores, and no statistically significant difference in identify programplacement as a key stressor.References [1] Okanagan Charter: An International Charter for Health Promoting Universities and Colleges, 2015. [2] S. Fisher and B. Hood, “The stress of the transition to
Antonio, Texas: ASEE Conferences, Jun. 2012, p. 25.538.1-25.538.10. doi: 10.18260/1-2--21296.[13] A. Bandura, “Self-efficacy: Toward a unifying theory of behavioral change,” Adv. Behav. Res. Ther., vol. 1, no. 4, pp. 139–161, Jan. 1978, doi: 10.1016/0146-6402(78)90002-4.[14] M. Sherer, J. E. Maddux, B. Mercandante, S. Prentice-Dunn, B. Jacobs, and R. W. Rogers, “The Self- Efficacy Scale: Construction and Validation,” Psychol. Rep., vol. 51, no. 2, pp. 663–671, Oct. 1982, doi: 10.2466/pr0.1982.51.2.663.[15] R. E. Wood and E. A. Locke, “The relation of self-efficacy and grade goals to academic performance,” Educ. Psychol. Meas., vol. 47, no. 4, pp. 1013–1024, Dec. 1987, doi: 10.1177/0013164487474017.[16] S. Brown, “Student
outcomes,” presented at the ASEE Annual Conference and Exposition, Conference Proceedings, 2012. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0- 85029080569&partnerID=40&md5=e0961e206913bf6956d610a54a631bac[10*] I. J. Paredes, R. Li, S. Kwak, C. Woods, and D. R. Krusniak, “Creation of a Workshop Series on Inclusive Teaching and Design Practices for Engineering Undergraduate Teaching Assistants,” presented at the 2024 ASEE Annual Conference & Exposition, Jun. 2024. Accessed: Nov. 26, 2024. [Online]. Available: https://peer.asee.org/creation-of-a-workshop- series-on-inclusive-teaching-and-design-practices-for-engineering-undergraduate-teaching- assistants[11*] G. Zhang, “Support
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having a successful second run after only a few short days was a great success. Number of deliveries far exceeded expectations Meeting the project requirements4. What was your greatest challenge on the drone project? Time constraints and some minimally-performing team members Dropping accuracy Initial run failed Solving last minute technical problems5. What suggestion(s) do you have to improve the drone project? Making the competition even more challenging by adding an obstacle to the course More time Incorporating design originality into the scoring system6. Did your view of engineering change as a result of the drone project and if so how? The importance of time and project
, and J. Kibirige,"Student Attraction, Persistence and Retention in STEM Programs: Successes and ContinuingChallenges," Higher Education Studies, vol. 7, no. 1, pp. 46-59, 2017.[3] N. S. Board, "Revisiting the stem workforce, A companion to science and engineeringindicators," National Science Board, National Science Board, 2015. [Online]. Available:http://www.nsf.gov/pubs/2015/nsb201510/nsb201510.pdf[4] K. McMullin, "Identifying perceptions that contribute to the development of successfulproject lead the way pre-engineering programs in Utah," 2013.[5] P. Lam, P. R. Mawasha, T. Srivatsan, and J. Vesalo, "Description of a ten year study of thepreengineering program for under-represented, low income and/or first generation collegestudents at The
. A. Schön, The Reflective Practitioner: How Professionals Think in Action. Routledge, 2017.4. B. Hartmann, S. Doorley, and S. R. Klemmer, “Hacking, mashing, gluing: Understanding opportunistic design,” IEEE Pervasive Computing, vol. 7, no. 3, pp. 46–54, 2008.5. M. Lande and L. Leifer, “Prototyping to learn: Characterizing engineering students’ prototyping activities and prototypes,” in DS 58-1: Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 1, Design Processes, Palo Alto, CA, USA, Aug. 24–27, 2009.6. V. K. Viswanathan and J. S. Linsey, “Design fixation and its mitigation: A study on the role of expertise,” Journal of Mechanical Design, vol. 135, no. 5, p. 051008, 2013.
TX RX The prestige and recognition associated with engineering was an important factor in my 56% 76% enrolling in engineering. Selecting engineering was influenced by my parents or close relatives. 33% 24% Selecting engineering was influenced by my high school teacher(s) and/or school counsellor. 11% 29% The friendships I have made during my studies within engineering at [post-secondary 67% 53% institution] have been important factors for
solving in engineering: Lessons for engineering educators,” Journal of Engineering Education, vol. 95, no. 2, pp. 139–151, 2006.[2] A. D. Patrick and M. Boreggo, “A review of the literature relevant to engineering identity,” in Proceedings of the 2016 American Society for Engineering Education Annual Conference, New Orleans, LA: American Society for Engineering Education, 2016.[3] A. H. El-Zein and C. Hedemann, “Engineers as Problem Solvers: a deficient self-definition for the 21st century,” in Proceedings of the 2013 Engineering for Sustainable Development, Cambridge, United Kingdom: EESD13, 2013, pp. 1–8.[4] S. Haase, H. L. Chen, S. Sheppard, A. Kolmos, and N. Mejlgaard, “What does it take to become a good engineer
as they see fit.Future DirectionsThe results of this Work-in-Progress are promising. Future studies will launch the refinedSynthesis Sheet Prompts, adjust post-exam reflections to gather more data on resource use, andfurther analyze links between conditional thinking and performance. We encourage instructors toadopt the Synthesis Sheet framework and identify which knowledge type—declarative,procedural, conditional, or contextual—is most challenging for their students.VI. References[1] K. D. Tanner, “Promoting Student Metacognition,” LSE, vol. 11, no. 2, pp. 113–120, Jun. 2012, doi: 10.1187/cbe.12-03-0033.[2] G. Schraw and R. S. Dennison, “Assessing Metacognitive Awareness,” Contemporary Educational Psychology, vol. 19, no. 4, pp
and the fourth-year students attend classes atanother campus. The campuses are approximately 15 miles apart. The first-year engineeringstudents may go on to earn an engineering degree in any of the more than 25 engineeringdisciplines offered by the University. The fourth-year students are all enrolled in the B. S. inMultidisciplinary Engineering Design (MDE) program, a four-year degree that incorporatescoursework and practical experience in mechanical, electrical, and computer engineering with anoverarching emphasis on engineering design.The first-year students are taking a Cornerstone Engineering Design course, EDSGN 100. This isa required course for most engineering majors that introduces students to engineeringfundamentals. The course