creatively to build on existing assets in ways that invite context-specific,bottom-up cultural change.AcknowledgementsBoth authors would like to thank all members of the School of Biological & Health SystemsEngineering at ASU who have supported, participated in, or contributed to the Community Gardenin any way, with particular gratitude to the faculty who have joined our regular gatherings. EF alsoacknowledges support from the National Science Foundation (Award #2045925).References[1] S. Hall, “A mental-health crisis is gripping science — toxic research culture is to blame,” Nature, vol. 617, no. 7962, pp. 666–668, May 2023, doi: 10.1038/d41586-023-01708-4.[2] T. M. Evans, L. Bira, J. B. Gastelum, L. T. Weiss, and N. L. Vanderford, “Evidence
predominantly White colleges and universities,” Innovative Higher Education, vol. 19, no. 4, pp. 255-268, Summer 1995.[13] L. Ponjuan, V. M. Conley, and C. Trower. “Career stage differences in pre-tenure-track faculty perceptions of professional and personal relationships with colleagues,” The Journal of Higher Education, vol. 82, no. 3, pp. 319-346, May 2011.[14] P. Scott-Johnson and P. Leggett-Robinson. “A journey worth traveling: Mentoring and role models matter,” in Overcoming Barriers for Women of Color in STEM Fields: Emerging Research and Opportunities, P. Leggett-Robinson and B. Villa, Eds. New York: IGI Global, 2020, pp. 116-140.[15] T. C. Dennehy and N. Dasgupta. “Female peer mentors early in college increase
Climate Technology 9 Scientist Stem Cells 10 Research Scientist Fermentation Table 1: Details of guest speakers in synthetic biology elective podcast series. A) B) Company Size (# Employees) Employer Location Boston, MA 2 Raleigh, NC 3 2 3
Paper ID #45705From Barriers to Bridges: A Case Study on Engineering EducationColten Van Voorhis, Texas A&M University - Commerce Colten Van Voorhis is a Master’s student at East Texas A&M University and a Graduate Research Assistant in the Computer Science Department. My research interests include cybersecurity, autonomous driving, user privacy, and STEM diversity equity efforts.Dr. Yuehua Wang, Texas A&M University - Commerce Dr. Yuehua Wang is an Associate Professor of CS. Her research interests are software programming and engineering, autonomous driving, artificial intelligence, vehicular sensing and
, leading to low performance at the end of the semester. Some students always struggle withunderstanding the relationship between mathematical material and engineering material, whichthe chart clearly shows. For example, Fig. 2 illustrates that the Laplace transform in Chapter 3 isa crucial mathematical tool for analyzing and designing circuits, and students must try their bestto grasp the material.At the end of the semester, student performance is evaluated according to their final grades, asshown in Fig. 3. If a student receives an A or B, their performance is marked as high. A Cindicates middle performance, and a D is treated as low performance. The orange line showsstudent performance when gamification was not adopted in that group, while the
. 15 Argumentation Strength and coherence of arguments made. 10 Formatting and Citation Adherence to formatting standards and proper citations. 5 Originality Novelty and creativity of ideas. 10Appendix B. Example AI FeedbackBelow is an example of feedback generated by ChatGPT for a theoretical assignment:Student Response:"The theory of relativity suggests that time is relative and can differ based on the observer'sspeed and gravitational field."AI Feedback:"Your explanation of the theory of relativity captures the essence of time relativity well. Youcould provide specific examples to strengthen your response, such as the time dilationobserved in high
-ventilated area, such as outdoors.Next, the students learned to carefully mix the ingredients that make up the silicone mixture.Specifically, Portlife and Theolife served as the base materials for the silicone mixture. Therewere two parts to be used for fabrication. Part A component contained vinyl functional siliconesand the platinum catalyst, whereas Part B contained vinyl functional polymer, hydrogen-functional crosslinker, and cure inhibitor. The students began the process of creating the siliconemixture by adding the specified weight of Part B, followed by 1–2% of its weight in an anti-catalyst or retardant to moderate the reaction speed. This catalyst was used so that the siliconecuring process did not start until the degassing process was
Library,” Inside Higher Ed. Accessed: Jan. 07, 2025. [Online]. Available: https://www.insidehighered.com/news/2010/09/17/truly-bookless- library[3] J. McAdams, “A Library Instead of a Lab: Forging a Space Partnership in a New Building,” presented at the 2011 ASEE Annu. Conf. & Expo., Vancouver, BC, CA, June 26-29, 2011. https://peer.asee.org/17336.[4] J. H. Powell, “Transforming a Library into a Bookless Branch and Increasing Discoverability of the Virtual Library,” presented at the 2012 ASEE Annu. Conf. & Expo., San Antonio, TX, USA, June 10-13, 2012. https://peer.asee.org/22132.[5] B. B. Sewell, “A Bookless Library, Part I: Relocating Print Materials to Off-Site Storage,” J. of Access Services, vol. 10, no. 1, pp
Engineering Discipline Selection, American Society for Engineering EducationAnnual Conference, 2015.[10] Mohammadi-Aragh, M. J., Warnock, J., Barton, A., Sullivan, R. W., Elmore, B. B., andMoorhead, J. N., Hybrid Engineering Matriculation Model to Promote Informed EngineeringMajor Selection Decisions, American Society for Engineering Education Annual Conference,2015.[11] VanDeGrift, T. and Liao, S., Helping First-Year Engineering Students Select a Major,American Society for Engineering Education Annual Conference, 2017.[12] Elmore, M., Gieskes, K. E., and Alfarano, N., Factors in the Selection of a Major by First-Year Engineering Students, American Society for Engineering Education Annual Conference,2022.[13] Elmore, M. and Gieskes, K. E., First-Year
, analysiswill be run via established methods [16], inconjunction with initial trial data. Other datacollected includes gender, age, and race, and witha larger data pool it may be possible toincorporate assessment on STEAM interest and Figure 8: Milk Paint Creation by Study Participantengagement with more population specificvariables.AcknowledgementsThe team would like to recognize and give thanks to Monica Keszler, the artist behind “MilkPaint is Chemical Engineering” [18] and “Hair Dye is Chemical Engineering” [15], whoprovided insightful artistic feedback and brought this work to life. For whom without, this studywould not be possible.References[1] S. Belbase, B. R. Mainali, W. Kasemsukpipat, H. Tairab, M. Gochoo, and A. Jarrah, "At
. 10References 1. Sirinterlikci, A. (2014, June), Interdisciplinary Capstone Projects Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2—20691 2. Sheppard, K. G., & Nastasi, J. A., & Hole, E., & Russell, P. L. (2011, June), SE CAPSTONE: Implementing a Systems Engineering Framework for Multidisciplinary Capstone Design Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2—18937 3. Koromyslova, E., & Shannon, C., & Lovrien, P., & Barnett, B., & Steinlicht, C. (2022, August), Multidisciplinary Capstone Design Experiences: Students’ Perspective Paper presented at 2022 ASEE Annual Conference & Exposition
individual accountability and team-wide collaboration. Letter grades areassigned based on cumulative scores with A 90 %, B 80 %, C 70 %, and F < 70 %. Thisassessment strategy was used for two cohorts of students who form the control group. Thesecohorts were taught by the author in 2022-2023 and 2023-2024. Table 1: Traditional Assessment Method Individual Scores 35% Individual Tasks (e.g., team evals) 10% Teamwork 25% Team Scores 65% Weekly Status Reports and Briefings 10% System
in height (zA – zB) between the two locations. The volume flowrate (Q) is calculated by applying Bernoulli’s equation along a streamline that runs along the watersurface and utilizing conservation of mass between points A and B: 1/2 2𝑔(𝑧𝐴 − 𝑧𝐵 ) 𝑄 = 𝑑𝐴 𝑤𝐴 𝑑𝐴 𝑤𝐴 2 ( ) −1 ( 𝑑𝐵 𝑤𝐵 )The students also estimated the flow speed by timing how long it took a ping-pong ball to travel aspecified distance along the creek. This provided a
and reconnect students in grades 7-14with in-person, hands-on activities in computing. The objectives were to: 1. Facilitate stronger identification of professional pathways in computing. 2. Facilitate stronger connection with the campus. 3. Educate those who may have a peripheral interest in computing as to the: a. Range of computing disciplines and professions. b. Real nature of computing. Our anecdotal observation is that present-day students are far more computer and technology literate as users of computer applications and technology, but have a surprisingly poor understanded of how computers work, are connected, and their information managed
our future work towardthe education practice of design spine and the research questions to understand the relationshipsbetween design tasks and cognitive design skills.References[1] Jansson, D. G., & Smith, S. M. (1991). Design fixation. Design Studies, 12(1), 3–11. https://doi.org/10.1016/0142-694X(91)90003-F[2] Linsey, J. S., Tseng, I., Fu, K., Cagan, J., Wood, K. L., & Schunn, C. (2010). A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty. Journal of Mechanical Design, 132(041003). https://doi.org/10.1115/1.4001110[3] Agogué, M., Kazakçi, A., Hatchuel, A., Masson, P. L., Weil, B., Poirel, N., & Cassotti, M. (2014). The Impact of Type of Examples on Originality: Explaining
that, because of their energy density, produce the mostindustrial carbon emissions [15].The main objective of a technical cycle is to maintain the embedded material value and energyrequired for manufacture. Initially, the engineering team will brainstorm the cycles for which theproduct (design) could be designed. This stage can be performed in four cycles [9]:Cycle 1. It gets reused. Here, how long a product or material stays in use can be identified. Thismight mean offering a product as a service after its life cycle, such as car-sharing schemes. Toexplore as many ideas as possible, the engineering team can evaluate: a) How might this bepossible for the product? b) What would be needed, or is standing in its way?Cycle 2: It gets refurbished
and R. A. Bachnak, “Promoting Engineering Education Among High School and Middle School Students,” Journal of STEM Education, Vol. 13, No. 1, pp. 15-21, 2012.4. Z. Constan and J. J. Spicer, “Maximizing Future Potential in Physics and STEM: Evaluating a Summer Program through a Partnership between Science Outreach and Education Research,” Journal of Higher Education Outreach and Engagement, Vol. 19, No. 2, 117-138, 2015.5. J. A. Kitchen, G. Sonnert, and P. M. Sadler, “The Impact of College- and University-run High School Summer Programs on Students’ End of High School STEM Career Aspirations,” Science Education, Vol. 102, No. 3, pp. 529-547, 2018.6. B. Zhou, “Effectiveness of a Pre-College STEM Outreach Program,” Journal of Higher
. In this proficiency-based course, I felt I was able to focus on my learning rather than my grade. 4. In this proficiency-based course, I felt motivated to learn the course material.Each question was followed by an open-ended question asking students to explain more deeplyhow proficiency-based grading impacted the previous question. A. Can you explain how your confidence was impacted by proficiency-based grading? B. Can you explain how your stress around grades was impacted by proficiency-based grading? C. Can you explain how proficiency-based grading impacted your learning? D. Can you explain how proficiency-based grading may or may not have motivated you to learn?There were also two open-ended questions at
leave: Understanding student attrition fromengineering majors,” International Journal of Engineering Education, vol 29, no. 4, pp. 914-925,2013.[2] R.M. Marra, K.A. Rodgers, D. Shen, B. Bogue,” Leaving engineering: A multi‐year singleinstitution study,” Journal of Engineering Education, vol 101, no. 1, 6-27, 2012.[3] T.M. Freeman, L.H. Anderman, and J.M. Jensen, “Sense of belonging in college freshmen atthe classroom and campus levels,” Journal of Experimental Education. vol 75, no. 3, 203-220,2007.[4] D. Verdín, A. Godwin, A. Kirn, L. Benson, and G. Potvin, “Understanding how engineeringidentity and belongingness predict grit for first-generation college students,” ASEE AnnualConference & Exposition, 2018.[5] C.J. Wright, L.E. Hargis, E.L
. Fig. 2. Student responses on Python vs Java. 2) What will they use in the future 54.3% of students said that they would choose a language depending on the task. This is a huge victory for an instructor(figure 3).Fig. 3. Student responses on what they will use in the future. Note the overwhelming number for depends. (One student is old school.)B. Learning data structures and objects 1) Did Java help think more clearly about objects? 80% of students felt that Java helped them think more clearly about objects (figure 4). Fig. 4. Student response on whether Java helped them think more clearly about objects.2) Thinking about data structures 72.7% thought that Java
positivistperspective.Findings and Discussion (a) Novice distribution (total ~24 mins) (b) Expert distribution (total ~20mins) Figure 3: Percent of total time spent solving the problem in each stage of the frameworkInitial findings revealed the amount of time spent in each stage of the knowledge transferframework by each participant (Figure 3). Particularly striking is the fact that the expert (Fig.3b,faculty member) spent almost one third (29%) of their total time on the problem reflecting andevaluating the work they had done to that point. Only 17% of their time was coded as themactually solving the problem. In contrast, the novice (student) participant spent over half of theirtime (55%) actively working out the problem and only 11% of their time
International Publishing, 2017, pp. 85–113. doi: 10.1007/978-3-319-38756-7_4.[2] F. Tao, H. Zhang, A. Liu, and A. Y. C. Nee, “Digital Twin in Industry: State-of-the-Art,” IEEE Trans. Ind. Inform., vol. 15, no. 4, pp. 2405–2415, Apr. 2019, doi: 10.1109/TII.2018.2873186.[3] M. A. Hazrat, N. M. S. Hassan, A. A. Chowdhury, M. G. Rasul, and B. A. Taylor, “Developing a Skilled Workforce for Future Industry Demand: The Potential of Digital Twin-Based Teaching and Learning Practices in Engineering Education,” Sustainability, vol. 15, no. 23, Art. no. 23, Jan. 2023, doi: 10.3390/su152316433.[4] E. Negri, L. Fumagalli, and M. Macchi, “A Review of the Roles of Digital Twin in CPS-based Production Systems,” Procedia Manuf., vol. 11
University Northeastern University: Associate Dean for Diversity, Equity and Inclusion Director of Northeastern University Program In Multicultural Engineering (NUPRIME); NELSAMP internal Co-PI and Coordinator; National GEM Consortium Board DirectorDr. Jennifer Ocif Love, Northeastern University Dr. Jennifer Love is a full-time faculty member of Northeastern University’s College of Engineering, most recently in the First Year Engineering program. She is currently the Associate Director for the Michael B. Silevitch and Claire J. Duggan Center for STEM Education. She has a Bachelor of Science in Mechanical Engineering from Rensselaer Polytechnic Institute (1993), a Master of Science in Biomedical Engineering from The
College of Engineering. 3The authors conducted 60-minute interviews with trainers from each institution using asemi-structured interview with a common set of questions (see Appendix A). The purpose wasto compare approaches and seek effective practices, needs, and challenges. Interviewees werealso provided with an informational sheet explaining how the interview would be conducted,what the expectations were, and how their responses would be shared (Appendix B).We are most interested in the following categories at each institution: ● Who are the key players of TA training? ● What is the primary program content? ● What are your primary
use of the item/process, help the team find analternative, or permit use after ensuring that appropriate safety measures are in place. Whennecessary, university safety staff are involved in this decision-making process.To help remind students of the items on the checklist, a version of the list is presented on a largeposter that is located near the entrance to the studio. We have intentionally not combined thisdeliverable with the online safety training modules required by the university so that we canpresent it separately to emphasize its importance.3.2 Project Hazard AssessmentAppendix B contains the guidelines provided to students for the Project Hazard Assessmentdeliverable. The PHA is built around the same hazard categories used in the
,” By the Numbers, https://ira.asee.org/by-the-numbers. [3] M. Morris, R. Hensel, and J. Dygert, “Why Do Students Leave? An Investigation Into Why Well-Supported Students Leave a First-Year Engineering Program,” 2019 ASEE Annual Conference & Exposition, Jun. 2019. doi:10.18260/1-2—33559 [4] T. L. Strayhorn, College Students’ Sense of Belonging: A Key to Educational Success for All Students. New York , New York: Routledge, 2012. [5] V. Tinto, “Through the Eyes of Students,” Journal of College Student Retention: Research, Theory & Practice, vol. 19, no. 3, pp. 254–269, Dec. 2015. doi:10.1177/1521025115621917 [6] B. E. Rincón and S. Rodriguez, “Latinx Students Charting Their Own STEM Pathways
B. Operation guide – immersed bodiespreviously unfamiliar with programming. The app will The user must check the box “I am working with experimental data” to enter the immersed body mode. The usermust provide their own graph in the form of a .png file to determine the software’s effectiveness in real-worldupload. They must type in the four corners of the graph they engineering applications. During the summer II semester ofwish to upload, click the blue “UPLOAD IMAGE” button, and 2024, a study was conducted with all ME3475 sections. Theupload their file. Once
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