and it is included in Appendix B. The rubric includes scoring for 4 sections: Introduction, Process, Self-reflection, and Writing style. The scoring weighted the reflection questions section more than the other sections. The self-reflection questions were created as a direct assessment of the FYC student learning objectives, they are connected to the Engineering Physics program learning outcomes and also to KEEN 3Cs of curiosity, connections, and creating values. The reflection questions included in the direct assessments and their relationship to the learning outcomes are shown in Table 3.Table 3. Direct assessment questions with corresponding learning objectives
negatives. IV. RESULTS AND DISCUSSION B. Examining the Confusion MatrixThe effectiveness of the VGG16-based wildfire detection model The confusion matrix shows how accurate and inaccuratewas evaluated using the D-FIRE dataset, which includes a range predictions are distributed:of wildfire and non-wildfire images. The efficiency of themodel was evaluated using accuracy, precision, recall, and F1-score. In Fig 9, the patterns of the model's loss and accuracy along the training process. The consistent decline in loss and rise in
prototyping aproposed solution. This allows students to break through the perceived mysterious process ofresearch and become active participants alongside creating trust in the academic system.AcknowledgementsThis work was funded in part by the Strategic Instructional Innovations Program in the Academyfor Excellence in Engineering Education in the Grainger College of Engineering at the Universityof Illinois Urbana Champaign.References[1] S. Kim, C. Laschi, and B. Trimmer, “Soft robotics: a bioinspired evolution in robotics,”Trends in Biotechnology, vol. 31, no. 5, pp. 287–294, May 2013, doi:10.1016/j.tibtech.2013.03.002.[2] H. Lim, H. S. Kim, R. Qazi, Y. Kwon, J. Jeong, and W. Yeo, “Advanced Soft Materials,Sensor Integrations, and Applications
engineering education. Journal ofCleaner Production, 345, 131129.[2] Faulkner, W. (2000). Dualisms, hierarchies, and gender in engineering. Social Studies ofScience, 30(5), 759–792. https://doi.org/10.1177/030631200030005005[3] Cech, E. A. (2013). The (mis)framing of social justice: Why ideologies of depoliticizationand meritocracy hinder engineers’ ability to think about social injustices. In Philosophy ofEngineering and Technology (pp. 67–84). https://doi.org/10.1007/978-94-007-6350-0_4[4] Leydens, J. A., & Lucena, J. C. (2017). Engineering justice: Transforming engineeringeducation and practice. Wiley eBooks. https://doi.org/10.1002/9781118757369[5] Martin, M. J., Diem, S. J., Karwat, D. M. A., Krieger, E. M., Rittschof, C. C., Bayon, B
Chou1, Theresa Rogers3, and Swastika S. Bithi1 1 College of Engineering 2 Terry B. Rogers College of Education and Social Sciences West Texas A&M University 3 Canyon High School AbstractThis initiative transforms STEM education by engaging 6–12 grade students in the TexasPanhandle with hands-on tools focused on groundwater, aquifers, water quality, and waterquantity. Teachers collaborate directly with the program to implement in-class activities, organizescience and
implemented in the MET-1100 Technology Orientation course. Pre- and post- course assessments are proposed as futurework to evaluate the effectiveness of teaching these topics. Additionally, the capstone projectsshould be evaluated for necessary revisions to incorporate sustainable product design.References 1. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-technology- programs-2023-2024/ 2. https://news.climate.columbia.edu/2024/02/08/preparing-students-for-diversity-equity-and-inclusion-in- sustainability/#:~:text=DEI%20in%20sustainability%20refers%20to,DEI%20at%20Columbia%20Climate %20School? 3. Angela B. “Evolution of a sustainability focused first-year
refine our iterative research design to better support studentlearning outcomes. This work aligns with the NSF's focus on improving the quality ofundergraduate education and preparing students to meet the complex demands of the engineeringprofession with both technical expertise and ethical insight.AcknowledgementsThe author would like to acknowledge the anonymous reviewers and ASEE session chair fortheir time and input into this paper. This work is supported by National Science FoundationGrant #2314334. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] D. A. Martin, E. Conlon, and B. Bowe, “A Multi
Construction Practice.[9] Shaurette, M. (2010). Faculty internship in demolition management: Advancing and reinforcing construction management education. Paper presented at the Associated Schools of Construction, Proceedings of the 46th Annual Conference.[10] Manion, W. P. (2016). A Faculty Summer Internship Case Study. Paper presented at the 2016 ASEE Annual Conference & Exposition.[11] Creswell, J. W. (2009). Research design: qualitative, quantitative, and mixed methods approaches. In: Sage.[12] Merriam, S. B., & Tisdell, E. J. (2015). Qualitative research: A guide to design and implementation. John Wiley & Sons.
. DOI:10.1177/03064190231169129.[22] V. Souitaris, S. Zerbinati and A. Al-Laham, "Do entrepreneurship programmes raiseentrepreneurial intention of science and engineering students? The effect of learning, inspirationand resources," Journal of Business Venturing, vol. 22, pp. 566–591, 2007.[23] J. Mattioli and B. Braunschweig, "AITA: AI trustworthiness assessment," AI Magazine, vol.44, (2), pp. 202, 2023. DOI: 10.1002/aaai.12096.[24] G. Verhulsdonck et al, "Incorporating Human Judgment in AI-Assisted ContentDevelopment: The HEAT Heuristic," Tech. Comm., vol. 71, (3), pp. 60, 2024. . DOI:10.55177/tc286621.[25] M. Flaherty. (Sep. 12). Q. What does OneSearch search?. Available:https://libanswers.quinnipiac.edu/abl/faq/411035.[26] Y. Engeström
(MoMoTech). Heidelberg: Springer.[15] van Tuijl, C., & van der Molen, J. H. W. (2016), Study choice and career development inSTEM fields: An overview and integration of the research. International Journal of Technologyand Design Education, 26(2), 159–183. https://doi.org/10.1007/s10798-015-9308-1[16] Krüger, H. (1992), Vorberufliche Sozialisation. German Journal of Research in HumanResource Management, 318-341.[17] Ivemark, B., & Ambrose, A. (2021), Habitus Adaptation and First-Generation UniversityStudents’ Adjustment to Higher Education: A Life Course Perspective. Sociology of Education.https://doi.org/10.1177/00380407211017060[18] Papadakis, S., Vaiopoulou, J., Sifaki, E., Kalogiannakis, M., & Stamovlasis, D. (2021).Attitudes towards
necessarily reflect the views ofthe National Science Foundation.References[1] G. Miller, H.M. Jerónimo, Q. Zhu, Editors’ Introduction to Thinking through Science andTechnology: Philosophy, Religion, and Politics in an Engineered World, edited by Miller,Jerónimo, and Zhu, 1–10. Lanham, MD: Rowman & Littlefield, 2023.[2] C.E. Harris, S. Pritchard, J. Ray, E.E. Eanglehardt, M.J. Rabins, Engineering Ethics – Conceptsand Cases, Sixth Edition, Cengage, Boston, MA, USA, 2019.[3] S.J. Bird, A. Briggle, “Research Ethics.” Ethics, Science, Technology, and Engineering: AGlobal Resource, edited by J. B. Holbrook, 2nd ed., vol. 3, Macmillan Reference USA, 2015, pp.584-592.[4] D.H. Guston, T. Kowall, “Research Integrity.” Ethics, Science, Technology, and
https://www.abet.org/accreditation/accreditation-criteria/criteria-for-of Team Member Effectiveness (CATME) assessment tool for engineering students. accrediting-engineering-programs-2019-2020/Starting in 2003 Matthew Ohland led a team from multiple universities whodesigned CATME. A Behaviorally Anchored Rating Scale (BARS) of five factors fit the Beigpourian, B., Ferguson, D. M., Berry, F. C., Ohland, M. W., & Wei, S. (2019). Usingdata best. The five behaviors are
Paper ID #45450”We’ve got the solutions!” A chemical engineering high school summer campDr. Leah Granger, North Carolina State University Leah Granger is a postdoctoral researcher for Engineering Education and a course instructor for the Chemical and Biomolecular Engineering Department at North Carolina State University.Dr. Lisa G. Bullard P.E., North Carolina State University Dr. Lisa Bullard is an Alumni Distinguished Undergraduate Professor and Director of Undergraduate Studies in the Department of Chemical and Biomolecular Engineering at North Carolina State University. ©American Society for
interest and support for the innovation project,3. Motivation of project members to innovate,4. Wide promotion of innovation success stories, and5. Image Construction of being and becoming “innovative” Figure 1: TTA Full story told in six academically referred papers (Aliedeh, M. A., 2015 a, b, c, 2016, 2017, 2018 a)Narration of TTA Full Story: From Conceptualization to Integration In the last ten years, TTA solution passed the critical point by passing four important stagesstarting by conceptualization, publishing its newly developed frameworks, processes, tools andproducts in a six academically peer-refereed papers, as visually illustrated in Figure 2. These sixpapers cover nearly all
and previous offerings of the courses.Students’ identifying information has been removed for the purposes of this paper.Student A - “I found the robotics and automation lecture the most interesting because of howprevalent it is becoming in so many industries. Automated systems are being utilized more andmore as technology grows more advanced, and it was interesting to learn about how it is beingused in agricultural fields.”Student B – “One area I’ve found particularly interesting is the integration of robotics and AI inagriculture. The ability to use autonomous systems for tasks such as planting, weeding, andmonitoring crop health showcases how technology can revolutionize traditional farmingpractices. For example, learning about the
aligns with their education offerings. Corporate sponsorships were explored tointernal workforce development programs. expand program reach and improve affordability for learners.2. Course Design B. Resource Allocation Investment was made in platform development, faculty WPI is in a strong position to offer alternative compensation, and marketing efforts. A pricing model wascredentials, especially as flexible, online offerings to an adult
to be sustainable, discussions occurred with a prominent industry trade magazine. Adecision was made to partner where the material would be generated by students and the corporatewebsite created and maintained by the magazine with advertisement revenues split. The project wasnamed Offshore Learning Center (OLC). Launched in 2015, at the beginning of the major oil and gasindustry collapse, there were page views from 54 countries in 8 months and about 8,000 pageviewsper month as shown in Figures 3. (a) and (b). Many very positive comments were received. However,this program did not generate the advertising revenue expected due to the oil industry downturn andthe 5-year contract was not renewed. Lessons learned from the work to date highlighted
. Wegner, "Networking Ability and the Financial Performance of New Ventures: Moderating Effects of Venture Size, Institutional Environment, and Their Interaction," Journal of Small Business Management, vol. 53, no. 1, pp. 266-283, 2015, doi: 10.1111/jsbm.12009.[4] B. Batjargal, "Network dynamics and new ventures in China: A longitudinal study," Entrepreneurship & Regional Development, vol. 22, no. 2, pp. 139-153, 2010, doi: 10.1080/08985620802628864.[5] H. Hoang and B. Antoncic, "Network-based research in entrepreneurship: A critical review," Journal of Business Venturing, vol. 18, no. 2, pp. 165-187, 2003/03/01/ 2003, doi: https://doi.org/10.1016/S0883-9026(02)00081-2.[6] A. Yi and H. Hoang
potential for upperclassmen and graduatestudents to benefit in these ways from acting as peer mentors should be included in plans to enactmentoring programs potentially even as a part of a graduate student program.Acknowledgments The authors are thankful for support from Texas A&M University-Kingsville and theNational Science Foundation. The material presented is based upon work supported by theNational Science Foundation under Grant No. 1928611. Any opinions, findings, and conclusions,and recommendations expressed in this material are those of the authors and do not necessarilyreflect the views of the National Science Foundation.References[1] Rodgers, K.A., “Retention of Underrepresented College Students in STEM,” In B. Bogue &E
–243. doi: 10.1142/9789811232701_0022.[6] L. Seyyed-Kalantari, H. Zhang, M. B. A. McDermott, I. Y. Chen, and M. Ghassemi, “Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations,” Nat. Med., vol. 27, no. 12, pp. 2176–2182, Dec. 2021, doi: 10.1038/s41591-021-01595-0.[7] A. J. Larrazabal, N. Nieto, V. Peterson, D. H. Milone, and E. Ferrante, “Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis,” Proc. Natl. Acad. Sci., vol. 117, no. 23, pp. 12592–12594, Jun. 2020, doi: 10.1073/pnas.1919012117.[8] A. Arora et al., “The value of standards for health datasets in artificial intelligence-based
Paper ID #48362BOARD # 327: Biomimicry as an authentic anchor: Giving teacher the toolsto adapt an interdisciplinary middle school curriculum (DRK12)Geling Xu, Tufts Center for Engineering Education and Outreach Geling Xu is a Ph.D. student in STEM Education at Tufts University and a research assistant at Tufts Center for Engineering Education and Outreach. She is interested in K-12 STEM Education, AI Education, MakerSpace, LEGO Education, and curriculum design.Dr. Kristen B Wendell, Tufts University Kristen Wendell is Associate Professor of Mechanical Engineering and Education at Tufts University. Her research at the
international students in the VC section and build their confidence withthe course material by addressing some of the language-related barriers.Project ApproachThis project consists of five modules that were implemented in VANT 140 classes, which areIntegrated Language and Content Tutorials developed by a Vantage College academic Englishinstructor in collaboration with a computer programming instructor. Each module consisted ofinstructional materials on the linguistic aspects of programming, in-class activities, and avocabulary list with contextual definitions.Modules 1 and 2: Writing AlgorithmsIn previous iterations of the course, students commonly struggled with a) expressing theirthoughts and solutions in clear and coherent language; b
engineering competition teams. Additionally, there are strict PPErequirements for entering the space, regardless of what is being used, including safety goggles,closed toe shoes, ankle covering pants, and no jewelry. School B is a student volunteer managedspace located inside the mechanical engineering building. As such, the space is used primarily bymechanical engineering students despite being open to all engineering students. Both personal andclass-based projects are allowed. PPE requirements vary depending on the area of space beingused, with the main area requiring none and the wood and metal workspaces needing closed toeshoes and safety goggles. Data was collected at both schools using end of semester surveys (see[10] for further details). The
Engineering at The University of Louisville. He received his Ph.D. in Industrial and Systems Engineering form The State University of New York at Binghamton.Dr. Jay B. Brockman, University of Notre Dame Dr. Jay Brockman is the Associate Dean of Engineering for Experiential Learning and Community Engagement. He received his Ph.D. in Computer Engineering from Carnegie Mellon University and previously worked for Intel Corporation. He is also a founder ofDr. Hazel Marie, Youngstown State University - Rayen School of Engineering Hazel Marie, Ph.D., P.E. received her B.S. in mechanical engineering from the University of Texas in Austin, her M.S. from Youngstown State University, and her Ph.D. from the University of Akron
Polytechnic Institute and State University Jennifer Case is Head and Professor in the Department of Engineering Education at Virginia Tech. She holds an honorary position at the University of Cape Town. Her research on the student experience of learning, focusing mainly on science and engineerinDr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Chief of Strategy in the College of Engineering and Special Assistant to the Provost. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more effective, efficient, and inclusive
: Springer New York, 2013, pp. 293–308. doi: 10.1007/978-1-4419-5546-3_20[5] A. F. Wise and D. W. Shaffer, “Why Theory Matters More than Ever in the Age of Big Data”, LearningAnalytics, vol. 2, no. 2, pp. 5-13, Dec. 2015.[6] T. Sitzmann, “A Meta‐Analytic Examination of The Instructional Effectiveness of Computer‐Based SimulationGames,” Personnel Psychology, vol. 64, no. 2, pp. 489–528, Jun. 2011, doi: 10.1111/j.1744-6570.2011.01190.x.[7] E. Bosch, E. Seifried, and B. Spinath, “What successful students do: Evidence-based learning activities matterfor students’ performance in higher education beyond prior knowledge, motivation, and prior achievement,”Learning and Individual Differences, vol. 91, pp. 102056, Oct. 2021, doi: 10.1016/j.lindif.2021.102056
and hydraulic studies.Dr. Kristen B Wendell, Tufts University Kristen Wendell is Associate Professor of Mechanical Engineering and Education at Tufts University. Her research efforts at the Center for Engineering Education and Outreach focus on supporting discourse and design practices among engineering learners from all backgrounds and at all levels.Ms. Fatima Rahman, Tufts Center for Engineering Education and Outreach STEM Education graduate student at Tufts UniversityDr. Chelsea Joy Andrews, Tufts University Chelsea Andrews is a Research Assistant Professor at Tufts University, at the Center for Engineering Education and Outreach (CEEO). ©American Society for Engineering Education, 2025
. Read-Daily, and R. Koh, “MBL (Mastery-Based Learning) Supports a Normalization of Failure as an Essential Part of Learning.” https://par.nsf.gov/biblio/ 10526173. June 2024.[3] S.A. Atwood, K. Scalaro, and R. Holcombe, “Work-in-Progress: Seizing failure as an opportunity to learn: Undergraduate engineering students’ conceptions of failure and iteration.” https://par.nsf.gov/biblio/10526170. June 2024.[4] S.A. Atwood, K. Scalaro, and R. Holcombe, “Initial Findings of Engineering Faculties’ Perceptions of Mastery Assessment in a Project-based Engineering Program.” https://par.nsf.gov/biblio/10526172. June 2024.[5] K. M. DeGoede, B. Read-Daily, and R. Koh, “Impacts of Social and Equity-Centered Instruction on Students
presentations for the course, the teams areexpected to return any items that remain functional to the school store and are encouraged todonate any non-School Store parts they purchased for the project. Students are asked to return ordonate only functional, non-customized parts. The large number of students and large volume ofparts led us to establish an assembly-line-style drop-off system for parts. Sets of bins fordifferent items are placed in several stations in the lab space (Figure 2A), and teams deposit theitems into the appropriate bin. As appropriate, (e.g., for motors), information sheets and/or bagsare supplied to keep sets of items and/or their specifications together (Figure 2B). A B Figure 2
Paper ID #46925Biomimicry as an Authentic Anchor (Resource Exchange)Ms. Tyrine Jamella Pangan, Tufts University Tyrine Jamella Pangan is a STEM Education PhD student at Tufts University and a Graduate Research Assistant at the Tufts University Center for Engineering Education and Outreach (CEEO). She is interested in integrating social and emotional learning (SEL) in engineering, specifically within the elementary school context. Tyrine hopes to explore how Transformative SEL can be implemented to cultivate socially responsible engineers.Dr. Kristen B Wendell, Tufts University Kristen Wendell is Associate Professor of