S6: Western Electric rules for control charts and quiz Week 3: Control Charts S7: Sampling plan S8: Overview of the S chart Week 4: Process Capability G: Full statistical process control gameTable 1. Overview of weekly content outline and corresponding simulation sequences andlearning game in the first four weeks of the learning module on statistical process control.In Week 1, simulation sequence S1 introduces the basic GUI elements and gives an overview ofthe injection molding process, input parameters, and error states, as shown in Figure 2. The firsttask for the user is to fix the tool by adjusting the main barrel temperature. In sequence S2 theuser is then
the support of the Jerry G. Huff Chair in Innovative Teaching in the Ron and JaneGraham School of Professional Development in the College of Engineering at the University ofSaskatchewan, the DuPont Canada Chair in Engineering Education Research and Developmentin Smith Engineering at Queen’s University, and the Enhancing Learning and Teaching inEngineering Faculty Scholar Award at McGill University.References[1] S. Maw, P. Neufeld, L. Chen, C. Jaeger, K. Moozeh, P. Ostafichuk, B. Frank, C. MacGregor,G. McSorley, and J. Grove. “Preliminary employment trajectory findings from a pan-Canadiansurvey on career motivations and aspirations of undergraduate engineering students,” CanadianEngineering Education Association (CEEA) Conference, June 15-19
is/are entrepreneur(s) among my relatives*denotes a positive change while **denotes a significant difference from pre- to post-surveyResponses to the two administrations of the survey were analyzed using inferential statisticaltests and descriptive statistics. Both approaches to the analyses were conducted to answer theresearch question whether students expressed a change from pre- to post-surveys in theirattitudes and beliefs about their EM in engineering fields. The five verbal responses of the Likertscale were transformed into numerical quantities such that Strongly agree = 5, Somewhat agree =4, Neither agree or disagree = 3, Somewhat disagree = 2, and Strongly disagree = 1. Only 1% ofthe total responses were “I do not understand,” and
resource for NNES studentsin computer science education, providing tailored support that enhances their learning experience and overcomes languagebarriers. R EFERENCES [1] V. Agarwal, Y. Chuengsatiansup, E. Kim, Y. LYu, and A. G. Soosai Raj, “An analysis of stress and sense of belonging among native and non-native english speakers learning computer science,” in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 2022, pp. 376–382. [2] S. Alaofi and S. Russell, “A validated computer terminology test for predicting non-native english-speaking cs1 students’ academic performance,” in Australasian Computing Education Conference, 2022, pp. 133–142. [3
where the action includes examples of the form of the action [24]. • multi-shot - is a prediction action/prompt(s) where the action is broken into several separate actions. These multiple actions can now be distinguished into additional multi-shot Level prompt-shot-level Directive-Type 0 zero-shot-0 No directive, just data. 1 zero-shot-1 Simple one-sentence directive expressing the high-level goal. 2 zero-shot-2 Multi-sentence (paragraph-style) directive expressing the high-level goal and the sub-tasks that need to be performed to achieve the goal. 3 zero-shot-3 Complex (bulleted-list-style) directive expressing the high-level goal
. Alexandria, VA: National Science Foundation. Available at https://ncses.nsf.gov/wmpd.[2] American Society for Engineering Education. (2024). Profiles of Engineering and Engineering Technology,2023. Washington, DC. https://ira.asee.org/profiles-of- engineering-engineering-technology/[3] Yoon, S. Y., Aldridge, J. L., Else-Quest, N. M., & Roy, J. (2024). Development of a climate survey for engineering doctoral students from an intersectional approach: First-round validity evidence. Proceedings of the 131st American Society for Engineering Education (ASEE) Annual Conference and Exposition, Portland, OR, USA.[4] Aldridge, J. L., Else-Quest, N. M., & Yoon, S. Y. (2025, April). Applying an integrative climate framework to
flexibility engine within the LMSand adjustments to the underlying framework to facilitate adaptability in the dynamic assignmentof materials, tasks, and evaluations, utilizing a more extensive cluster model encompassing abroader spectrum of student characteristics.References[1] S. Park, “Analysis of Time-on-Task, Behavior Experiences, and Performance in Two Online Courses With Different Authentic Learning Tasks,” The International Review of Research in Open and Distributed Learning, 2017, doi: 10.19173/irrodl.v18i2.2433.[2] Z. Zen, Reflianto, Syamsuar, and F. Ariani, “Academic Achievement: The Effect of Project-Based Online Learning Method and Student Engagement,” Heliyon, 2022, doi: 10.1016/j.heliyon.2022.e11509.[3] S. B
-workforce/[4] Construction Industry Institute, “Improving the U.S. Workforce Development System.” Accessed: Oct. 28, 2024. [Online]. Available: https://www.construction- institute.org/improving-the-u-s-workforce-development-system[5] P. Bell, B. Lewenstein, A. W. Shouse, and M. A. Feder, Learning Science in Informal Environments: People, Places, and Pursuits. Washington, D.C.: National Academies Press, 2009. doi: 10.17226/12190.[6] A. Manuti, S. Pastore, A. F. Scardigno, M. L. Giancaspro, and D. Morciano, “Formal and informal learning in the workplace: A research review,” Int. J. Train. Dev., vol. 19, no. 1, pp. 1–17, Mar. 2015, doi: 10.1111/IJTD.12044.[7] V. J. Marsick and K. E. Watkins, “Informal and Incidental Learning
creativelyintegrating and building on methodologies from the NSF I-Corps Lean Launchpad program(s)and Stanford’s Life Design curricula, the bootcamp equips participants with tools and strategiesto actively design and navigate their career paths. This initiative places students at the center oftheir career exploration, fostering a sense of ownership, confidence, and adaptability that is oftenmissing from traditional graduate training.Participants consistently reported significant shifts in perspective. They emphasized newfoundawareness of the broader impact of their research, the value of collaborative engagement, and theimportance of exploratory learning in both academic and non-academic settings. The bootcampalso enabled the development of critical
://onlinelibrary.wiley.com/doi/pdf/10.1111/ejed.12599. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/ejed.12599 [3] J. G. Meyer, R. J. Urbanowicz, P. C. N. Martin, K. O’Connor, R. Li, P.-C. Peng, T. J. Bright, N. Tatonetti, K. J. Won, G. Gonzalez-Hernandez, and J. H. Moore, “ChatGPT and large language models in academia: opportunities and challenges,” vol. 16, no. 1, p. 20. [Online]. Available: https://doi.org/10.1186/s13040-023-00339-9 [4] W. F. Foundation, “ChatGPT used by teachers more than students, new survey from walton family foundation finds.” [Online]. Available: https://www.waltonfamilyfoundation.org/chatgpt-used-by-teachers-more-than-students- new-survey-from-walton-family-foundation-finds [5] S. Weiner
Engineering and ManagementUndergraduate Programs.” 2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024.[2] “Embracing Diversity and Inclusion in Construction: Building a Stronger Industry.” Velocity Advisory Group,https://www.velocityadvisorygroup.com/embracing-diversity-and-inclusion-in-construction/?utm_source=chatgpt.com. Accessed on December 22, 2024.[3] A. Powell, A. Dainty, & B. Bagilhole, “Achieving Gender Equality in the Construction Professions: Lessonsfrom the Career Decisions of Women Construction Students in the UK.” 26th Annual ARCOM Conference, 2010.[4] S. Page, “The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies.”Princeton University Press, 2008.[5] N. A. Fouad, W. H
what constitutes valuable learning experiences. ID-7's observationcaptures this challenge: "Engineering students struggle to recognize the value of design thinking.They view it as unrelated to their technical expertise, which creates a disconnect between theirexpectations and the broader goals of the course." This perception suggests that students' priortechnical training may inadvertently create resistance to design thinking approaches.The transition from linear to iterative thinking processes represents another significantadjustment. ID-2 notes: "Students often struggle with iterative thinking because they areaccustomed to linear processes." This observation points to a fundamental tension betweentraditional engineering education methods and
authors and literaturesuggest the dangers of not engaging meaningfully with communities when working onhumanitarian engineering projects. Considering that the success of the project is related to activecommunity participation and long-term commitment, the parties enrolled should follow the fiveprinciples presented by Mazzurco and Jesiek. These principles facilitate the communityparticipation, planning and management. Therefore, it is important to plan and establishstrategies to ensure the success of the project and promote engagement between engineers andcommunity members to achieve the project´s objectives. The literature provides guidelines thatenables engineers, educators, and community members to work more effectively.The Co-Design is “The
institution (HSI), during the Spring 2023 semester.Given the rigorous nature of the course, the authors implemented an alternative pedagogicalstrategy: 1) providing step-by-step solutions for each homework assignment concurrently with theassignments themselves; and 2) students were instructed that a homework problem, or a lecturenotes problem(s), would be incorporated on each of the four semester in-class exams.Similar to the approach incorporated by Hertz and Chinn, the focus of this study was to reusehomework questions and lecture problems on the exam to enhance students' comprehension of thematerial, promote academic success, increase passing rates (~70%) from previous semesters, andmitigate the temptation to violate academic integrity by engaging
% Hispanic, Black, Asian and Native races (e.g., non-whiteraces) [2]. Table 1: Percentage of Engineering Bachelor’s Degrees Disaggregated by Gender and Race, Summary of ASEE data from 2020 Race total %s 2020 %s Female Male (both Genders) White 11.6 41.3 52.9 Multi-racial 4.2 13.6 17.8 Hispanic 2.7 8.9 11.6 Black 1.1 2.7 3.8
empathy in engineering design.Dr. Miiri Kotche, The University of Illinois at Chicago Miiri Kotche is the Richard S. Hill Clinical Professor of Biomedical Engineering at the University of Illinois Chicago and currently serves as Associate Dean for Undergraduate Affairs in Engineering. Her research interests center on experiential learning, interdisciplinary collaboration, and promoting biomedical engineering through high school science teacher professional development.Prof. Houshang Darabi, University of Illinois Chicago Dr. Houshang Darabi is a Professor of Industrial and Systems Engineering in the Department of Mechanical and Industrial Engineering at the University of Illinois at Chicago. Dr. Darabi’s research focuses
semester.References[1] J. Hattie and G. C. R. Yates, Visible Learning and the Science of How We Learn. London: Routledge, 2013. doi: 10.4324/9781315885025.[2] N. P. Subheesh and S. S. Sethy, “Learning through Assessment and Feedback Practices: A Critical Review of Engineering Education Settings,” Eurasia J. Math. Sci. Technol. Educ., vol. 16, no. 3, p. em1829, Jan. 2020, doi: 10.29333/ejmste/114157.[3] J. Qadir et al., “Leveraging the Force of Formative Assessment and Feedback for Effective Engineering Education,” presented at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Jan. 15, 2025. [Online]. Available: https://peer.asee.org/leveraging-the-force-of-formative-assessment-and-feedback-for- effective
methodology. Table 2. Review of technologies being used in STEM education for SLWD.Author(s) Country Technologies Purpose Target Group Education Designedand Year Level Solution/MethodologyIatraki et al., Greece Virtual Investigate the design issues Intellectual Primary Employed a focus group(2021) [21] Reality/Augmented in the development of digital disability (ID) methodology to explore the Reality (VR/AR) learning environments for
talk about astronautics, I completely understand that a lot of the concepts that were discussed in the book are going to go over my head. Reading about Mary Jackson and her work in the Supersonic Pressure Tunnel was very interesting because of how many times we discussed wind tunnels in class, and reading about how integral they are to aerospace engineering was also extremely interesting. • Obviously, with aerospace engineering being such an important role in the Space Race in the late 1950's and early 1960's, society was being impacted by whether or not we were going to beat the Russians into space. Another major application of aerospace
- Moderately effective 4 - Very effective 7 5 - Extremely effective What value does your project provide, and to whom? Who are the potential users or beneficiaries of your project? (Open-ended response)Revenue Streams/Cost Structure: Did your team consider the financial aspect of your project, such as potential costs and revenues? Yes/No Briefly develop a cost structure for your project.Final Reflection: What were the most significant lessons you learned from this project? (Open-ended response)3.2 Project – Design and Fabricate an S-Binder with Additive Manufacturing forMaximum Strength-to-Weight Ratios (Additive Manufacturing)The
and expanded to include a more nuanced understandingof disabilities between the early 1920’s and the passage of the Rehabilitation Act of 1973. Thislandmark legislation combined and expanded upon all prior acts of rehabilitative legislation andforms the foundation of the current legal framework [5]. Notably, the Rehabilitation Act of 1973enshrined protection for those with disabilities seeking educational opportunities, guaranteeingotherwise qualified individuals are not excluded from educational opportunities at publiclyfunded institutions [5]. The Individuals with Disabilities Education Act (IDEA) was first passedtwo years later in 1975 as the Education for All Handicapped Children Act (EHA) [6]. It wasreauthorized and revised to its
crucial role in developing innovative solutions to public health challenges asexemplified during the COVID-19 pandemic where STEM professionals designed anddistributed personal protective equipment and vaccines and made significant advancements intelemedicine, predictive models and diagnostic tests (Braund, 2021, Fork & Koningstein, 2021).Unfortunately, the US is falling behind in STEM fields, a trend exacerbated by equity gaps in K-12 and higher education. The US no longer leads in science and engineering researchpublications or patents, and it graduates fewer STEM Ph.D.’s compared to countries like China(National Science Board, National Science Foundation, 2021, Zwetsloot, et al, 2021). These gapsbegin early, with significant disparities in
responsible AI more effectively, the complexity and rigor of participants’ discussionson each theme–referred to as theme depth–were also assessed. Theme depth was measured usinga 4-point scale adapted from Baker-Brown et al.’s conceptual/integrative complexity framework[30]. This scale assesses the sophistication of students’ engagement with ethical considerations inAI: • No mention (0): The ethical theme is completely absent from the response. • Superficial mention (1): The ethical issue is briefly acknowledged without substantive dis- cussion. For example, a student might simply state “privacy is a concern” without explaining why or how it applies to the AI system in question. • Detailed description (2): The ethical issue is
phases, integrating industry/engineeringstandards at each design step, paying attention to health and safety of the public, maintainingethical standards, and proper documentation of the capstone design process must be criticalcomponents of any capstone design model. Missing or inadequacy of addressing those criticalcomponents may result in negative evaluation by ABET program evaluators (PEV s). Therefore,it is important for any engineering program to adopt a proper capstone model to satisfy ABETprogram assessment requirements.In view of these contexts, this paper discusses the capstone model used by the engineeringprogram at the Southern Arkansas University (SAU). The model has been developed to providean industry level design experience in
: Create an initial inventory of specific EdTech (e.g., AutoCAD), rather than broad EdTech categories (e.g., “CAD tools”). o Step 2. Define Educator Selection Criteria: Identify the factors relevant to educators when choosing which tool(s) to try among many potential options. o Step 3. Expand the EdTech Dataset: Gather or supplement data for each EdTech based on the selection criteria (established in Step 2 of Phase 1), ensuring all relevant attributes are captured. Augment the dataset to include comprehensive data for a set of tools (i.e., capturing all significant attributes for each EdTech) in at least one specific EdTech
–47, 2011.[3] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, Engagement, and Migration in Engineering Programs.,” J. Eng. Educ., vol. 97, no. 3, pp. 259–278, 2008, doi: https://doi.org/10.1002/j.2168- 9830.2008.tb00978.x.[4] A. Viningrad, R. Goldsmith, and Y. Vorgan, “Engineering education in the higher education system and the workforce demand for engineers in Israel,” 2022.[5] I. Central Beauru of Statistics, “Students who completed their studies for a first degree among those who began studying in 2009 / 10 ( follow-up until 2017 ), by duration of study for a degree in,” vol. 10, p. 2017, 2017.[6] Y. Melzer and A. Kimhi, “Employment in
. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49(4), 219-243. https://doi.org/10.1080/00461520.2014.965823[3] Crawley, E., Malmqvist, J., Ostlund, S., Brodeur, D., & Edstrom, K. (2007). Rethinking engineering education. The CDIO approach, 302(2), 60-62.[4] Curtis, H., Gartner, J., Dutta, P., Adesope, O., Van Wie, B., & Watson, C. (2022, August). Teacher Impact on Student Learning Using LC-DLM Implementations in the Classroom. In 2022 ASEE Annual Conference & Exposition[5] Durak, Z. E., Thiessen, D. B., Ajeigbe, O. J., Adesope, O. O., & Van Wie, B. J. (2025). Hands-on fluidized bed classroom implementation and assessment
catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed. in Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed. New York, NY, US: Delta Trade Paperback/Bantam Dell, 2005, pp. xxxiii, 471.[10] A. Martin-Erro, M. Dominguez Somonte, and M. D. M. Espinosa Escudero, “The Role of Sketching in Engineering Design and its Presence on Engineering Education,” presented at the International Technology, Education and Development Conference, Valencia, Spain, Mar. 2016, pp. 3465–3471. doi: 10.21125/inted.2016.1822.[11] C. Xuemei, N. Binti Hashim, and S. Binti Kamarudin, “Situational Theory of Problem Solving (STOPS): A
; Sassi, K. (2019) justice: Creating culturally relevant, collective, Narrative Against intergenerational, co-created spaces Deficit PerspectivesOnwuachi-Robinson, S. (2023) Exploring the Implementation of Culturally Relevant Pedagogy to Support Black Male Middle School Students’ Success in MathWu, Y. L. (2016) Applying Culturally Responsive Pedagogy to the Vocational Training of Immigrants.Kim, H. J. (2024