allthree cases provided by ChatGPT were consistent with the source data. The messages were available.However, ChatGPT also shows at the bottom of the results “Please note that developments in 3D printingtechnology and construction projects may have occurred since my last update in January 2022.” to alertthe user to the lateness of the message.The authors also tried the application in terms of 3D printed bridges, asking ChatGPT to collect 3 typicalcases of 3D printed bridges worldwide in the last 5 years. The results are below. Figure 2 ChatGPT information-gathering Q2The results are not ideal. First, ChatGPT emphasizes here that the last data update was in January 2023,which contradicts January 2022 in the previous
problems of Engineering education. APR6. Pedagogical psychology and communication: Ability to apply psychological and pedagogical technologies to professional activities of a teacher. APR7. Interaction with stakeholders: Ability to work efficiently with the results of scientific research to ensure their publication, to cooperate with labor market and other stakeholders. APR8. Sustainable development: Ability to apply the principles of Sustainable Development in the global context. APR9. Digital education: Ability to design, organize and accompany educational process in X-learning environment. APR10. Problem-based, project-based, and practice-oriented learning: Ability to form students' experience of
not sustained overtime [11], [12], [13]. Finally, when changes are made, they are often low fidelity - meaning they partiallyimplement the instructional strategies they claim [7]. While these results are important, they merelyreinforce what we know - current change process do not deliver the intended outcomes. However, currentresearch does little to answer why. Is low fidelity an issue of applicability or practicality? Do facultymembers not understand or not have the time to fully implement techniques? What causes changes to besustained, improved, or dropped? Understanding these requires understanding how not if change is made.This paper looks at the experience of one faculty in one course engaged in a common first courseimprovement project
teaching of SEPTs in scientificcomputing. Greg Wilson, who created the initial Software Carpentry project [7], has madenumerous recommendations to adopt of key SEPTs in the scientific computingcommunity [20, 27–29]. Interventions in engineering fields (outside of computing) are rare.The SWEBOK GuideFrom the earliest uses of the term “software engineering”, there have been calls to establish thefield as an engineering profession [30], particularly by the two leading professional societies incomputing, the Association for Computing Machinery (ACM) and the Computer Society of theInstitute of Electrical and Electronics Engineers (IEEE). Efforts to establish software engineeringas a profession have included a call to compile a standard set of knowledge
is a subset of a project focused on investigating minoritized engineeringundergraduate students at a large, public, land-grant university in the Midwest. Through detailed,hour-long, semi-structured interviews, participants shared their experiences as minoritizedengineering students, especially as their experiences relate to their own mental health. This paperspecifically explores the narratives of two participants, illustrating the contrast in perspectives ofa first-year and fourth-year first-generation student. This paper underscores the importance ofcontinual dialogue with first-generation students, emphasizing that true inclusivity in engineeringeducation extends beyond mere integration; it demands sustained understanding and
lectures, onlinehomework / projects / exams, and students were provided support through weekly virtual officehours. Participation with lectures was a mandatory course element with weekly deadlines foreach set of lectures. For the flipped-style iteration, the course content was again delivered usingthe same pre-recorded virtual lectures (also as a mandatory course element with weeklydeadlines), online homework / projects / exams, but students were able to attend optional face-to-face work periods with the course instructor during the regularly scheduled lecture times.This work will provide a quantitative analysis and comparison of student course performance(e.g. final grade and final cumulative examination grade) across modalities. The aim is
, group projects,simulations, in-class talks, problem-solving exercises, critical thinking, and practical problem-solving exercises. Active learning, in contrast to conventional lecture-based methods, promotesstudent participation in the learning process, leading to a deeper comprehension of the subjectmatter. By encouraging active student participation instead of just passive information intake, theintention is to create a more dynamic, encompassing, and interactive learning environment.When compared to more passive approaches, an increasing amount of research shows that activelearning improves student outcomes like retention, engagement, and learning gains [2], [3].However, faculty at colleges and universities continue to adopt active learning
typically been thought of as successful. The main takeaway from thisinitial study is a need to address the researcher’s own assumption that looking for “untraditional”expressions of engineering within the participant’s art is limited only to a similarly “traditional”form of diversity. The researchers continue this project to expand the answer to who can be anengineer and will analyze the rest of the camps that were run in the summer of 2023, hoping tocontinue to see this positive trend. References[1] J. Michaeli, V. Jovanovic, O. Popescu, A. Djuric, and E. Yaprak, “An Initial Look at Robotics-based Initiatives to Engage Girls in Engineering,” vol. 14, no. 2, 2014.[2] Board on Behavioral
questions to LGBTQ students”, and that “students’ personal identities can changeas a result of exposure or meeting role models with similar identities and identifying with them”.Third, we learned that participants indeed see themselves using aspects of the panel in the future.For example, they expressed that they would “introduce themselves with their names and pronounsto project that they are open to conversations,” “add an inclusive statement to their class syllabusesand/or research lab group guidelines” and will have confidence in allowing themselves to makemistakes when learning more about LGBTQ experiences. Finally, from participant feedback andinformal conversations afterwards, we learned that administrators and educators would like toattend
the early stages, our study leverageslongitudinal survey data to outline their initial experiences. This is the foundational step indeveloping a comprehensive understanding of the change in international students’ experiences.MethodsRecruitment This study is an extension of a prior project that primarily investigated attrition ofdomestic students at the Master’s level within engineering disciplines [33]. For data collection, weutilized longitudinal surveys distributed through SMS text messaging on cellphones from October31st, 2022, to November 3rd, 2023. Students were recruited from the top 50 institutions grantingengineering Master’s and Ph.D. degrees based on [34]. We recruited 25 first-year internationalgraduate students in engineering
Finals Week (no class) Impact Portfolio * indicates content delivered by a guest speaker Table 1. Course lecture topics and assignment overview.Most weeks, students were prompted to complete a warm-up at the beginning of class withinstructions projected in the front of the classroom. Similarly, the last five minutes of manyclasses were reserved for an individual cool down activity. Students were asked to write theirresponses in the provided course workbook. Table 2 provides an overview of some of theseactivities. Week Warm-up Cool Down Futurist activity by imagining the impact
. Related to curiositya) Develop a propensity to ask MORE questions.b) Question information that is given without sufficient justification.c) Recognize and explore knowledge gaps.d) Recognize problems with an open mindset and explore opportunities with passion.e) Be able to self-reflect and evaluate preconceived ideas, thoughts, and accepted solutions.f) Explore multiple solution paths.g) Gather data to support and refute ideas.h) Suspend initial judgement on new ideas.i) Take ownership of, and express interest in topic/expertise/project.2. Related to connectionsa) Understand ramifications (technical and nontechnical) of decisions.b) Identify and evaluate sources of information.c) Connect life experiences with dilemmas.d) Connect content from
% Tri, CF, 50% HC, CF, 50%Lin, CF, 70% Tri, CF, 70% HC, CF, 70% Testing surface roughness is nondestructive, so this was tested first. A spectrometer isused to measure the differences in the surface. A light is projected over the surface of thespecimen and the spectrometer measures how many photons are captured on the other side.Multiple data points are captured and compiled into an average Ra value in millimeters (mm).Each specimen was used and recorded in this manner. Testing hardness only uses a small portion of the specimen, and therefore the specimencan be used again for future testing. This recycling minimizes waste to be cost effective. Using adigital Shore D durometer, the larger, end section of the
Division and ASEE Projects Board. ©American Society for Engineering Education, 2024Evaluating the Impact of a Summer Engineering Program Using the National StudentClearinghouseIntroductionSTEM education, encompassing science, technology, engineering, and mathematics, is crucialfor elementary and secondary students. It plays a pivotal role in cultivating vital skills likecritical thinking, teamwork, and creativity, preparing students for the demands of a competitive21st-century society. This holistic educational approach equips students with the essentialknowledge and abilities needed to navigate future global challenges.The pursuit of a STEM degree offers students, especially those from disadvantaged backgrounds
cursive font, can reveal the student's identity. This will be more pronounced if multiple exams are taken by the student or if the student has the same instructor in multiple classes. 2) Sample size: The classes we considered had around 40 students. After splitting the class into control and test groups, the number of students in some demographics was low. 3) Nature of the course taught: We employed this technique for courses in the chemical engineering major. A wider outreach with more courses in other majors will provide a comprehensive look at the problem.Future ConsiderationsWe are pursuing several avenues of future research in this project. We outline some of our futurework below.Improvement of the Anonymous
?MethodStudy Participants and ContextThe participants for this study are second-year mechanical engineering students enrolled in an"Engineered Systems in the Society" course during the Fall 2023 semester at the college ofengineering of a southeastern university in the United States. The course employs contemporaryreadings, team projects, and experiential learning elements to enhance students' conceptual andpractical grasp of socio-technical systems. Additionally, the course introduces students to socio-technical complexity, guiding them in the conceptual understanding, systematic analysis, andholistic engagement with engineering settings influenced by social, cultural, economic, andecological factors.Data CollectionThree sections of the course were
implementation.Research also might benefit from an understanding of the greater academic ecosystem.Next StepsBased on the findings presented in this work-in-progress paper, the full research project aims todelve into the complexities surrounding the integration of generative AI in academic settings byusing role identity theory and activity theory more heavily as guiding frameworks for continuedanalysis. The completed study will go beyond surface-level opinions to understand how broaderphilosophies and sociocultural factors shape faculty perspectives. At the time of writing,interviews have been conducted with faculty in the remaining engineering disciplines at UtahState University. To date, several consistent themes and concerns among faculty perspectives
. Additionally, a distinct interest in fostering individual mentor/menteerelationships for scholarly pursuits emerged, indicating a desire for personalized support withinthe CoP.“But personally, I prefer to work one-to-one, like an advisor-advisee relationship. I feel like Iwill make more progress than [at] the team level,” shared Interview Participant 3. Similarly,Participant 1 noted the need for personalized, individual collaboration with another co-author tosustain their efforts, sharing, “[The CoP meetings are] like a sprint. What I'm thinking of is amarathon. I cannot see myself sustaining my interest and investment if it is a long-term project.”Conversely, several benefits that participants found emerged. Access to valuable resources andframeworks
progress through the Understand, Synthesize, Ideate,and Prototype taxonomic spaces sequentially [4]. Students were encouraged to return to previousspaces if needed. Roughly 80% of camp time was spent in facilitated activities and experientiallearning and 20% in lectures.In the Understand space, instructors presented an introduction to HCD through a set ofmini-lectures on HCD taxonomy, identifying bias, identifying extreme users, and conductingmeaningful interviews. Next, students were introduced to the design project and divided intomixed gender groups of 3-4. To explore the Understand space in the HCD taxonomy, each studentgroup was given a user-defined need to accompany a children’s space projector and were taskedto first dissect the projector
mechanical systemscan be implemented by STEM educators on a broad scale. This method can inspire a lifelonginterest in STEM for students.IntroductionThe acronym STEM refers to four different technical subject areas: Science, Technology,Engineering and Mathematics [1]. Individuals working in STEM-related careers have beencredited with creating some of the most important contributions to societal advancement [2].Therefore, there will be a need for a substantial number of STEM professionals in the future.This demand has been reflected in future employment projections. The Bureau of LaborStatistics estimates that the total employment in STEM occupations will grow 10.8% between2022 and 2032. This figure far outpaces the overall employment growth rate of
interpretations and acknowledges the dynamiccomplexities of disability, 2) using local knowledge of students who use accommodations, 3)analyzing power structures that contribute to ableist policies and impact student experience, and4) recognizing the relationship between impairment, disability, and environment (i.e., using anexpanded version of the traditional social model that acknowledges embodiment).MethodsThis research project uses a mixed methods approach consisting of two main components 1) asurvey of undergraduate engineering students, and 2) the analysis of lecture recordings andsyllabi from engineering courses. This paper will explore the initial findings from component 1.Component 1: Survey of Undergraduate Engineering Students Surveys
graduate students in STEM to foster research and professional development skills. She also has relevant experiences in organizing undergraduate research symposium/conferences, hosting professional development workshops, providing guidance on undergraduate/graduate school application. Currently, she serves as a Teaching Scholar for the K-12 STEM Education Program at Berkeley Lab and is involved with curriculum development of K-12 outreach at LBNL.Lydia Rachbauer, Lawrence Berkeley National Laboratory Lydia Rachbauer is a Project Scientist at the Lawrence Berkeley National Laboratory in Berkeley, California, as part of the Deconstruction Division at the Joint Bioenergy Institute. She holds a bachelor’s degree in Food
activity. A) Completed concept map B)Unfinished concept map The second phase of the project delved deeper into entrepreneurial mindset. In this phase,groups created concept maps including features of the clippers, clippers stakeholders, andadditional products that could also be used to cut branches. In their concept maps, studentsconnected features of the clippers, such as ease of use, cost, and number of parts, to stakeholders,such as customers, retail partners, and manufacturer, with words that described how the featurecreated value for the stakeholders, like expects, delights, not interested in, or detracts. Studentsalso had the opportunity to include on their concept map additional products that could be usedfor the same purpose and
phase was completed, the responses were analyzed. This analysisinvolved examining the mean scores, distribution patterns, and other statistical measures toextract meaningful insights and discern prevailing trends in students’ perceptions.The findings from this survey not only highlight key insights and patterns but also suggestactionable recommendations. These insights are crucial for informing future pedagogicalstrategies, curriculum development, and resource allocation aimed at enhancing the effectivenessof custom PCBA boards as a learning tool in engineering education.The Institutional Review Board (IRB) has determined that this project, ‘Advancing ActiveLearning in Electronics with Customized Printed Circuit Boards,' is exempt from review
qualitative and quantitative methodologies. Her career goals are to work as an evaluator or consultant on educationally based research projects with an emphasis on statistical analyses and big data.Dr. Christy Jenkins Brown, Clemson University Dr. Christy Brown is a Clinical Associate Professor of Quantitative Methodology in the Department of Education and Human Development (EHD) at Clemson University. She teaches doctoral-level courses in statistics for educational contexts and provides statistical support to educational researchers through her role as the founding director of the EHD Quantitative Clinic. She holds a PhD in Quantitative Methods in Educational Psychology, an MS in Statistics, and a BSEd in Mathematics
’ experiences in engineering (e.g., Figard & Carberry, 2023; Figard etal., 2023b; Figard et al., 2023c), this paper expands on the nuanced complexities surroundingidentity within the disabled engineering community by addressing the following researchquestion: How do disabled women in engineering degree programs describe the intersections oftheir marginalized identities, as they relate to their educational experiences?Methods The findings presented in this paper are a subset of a larger project and data collectioneffort that focuses more broadly on the experiences of disabled engineering students. Morecomplete methodological details can be found in (Figard et al., 2023b; Figard et al., 2024).1 Identity-first language is used in this paper to
qualitative study draws from data gathered as part of a larger efficacy study of the EiEcurriculum [29]. In the present study, the primary unit of analysis is the design team.Participating design teams were in classrooms that participated in the larger study during itssecond year of data collection; were video–recorded as part of qualitative data collection for thelarger project; and learned two science–integrated engineering units in sequence, Unit 1 and Unit2. Unit 1 for all teams was an EiE bridges unit in which students used simple materials toconstruct a strong and stable bridge across two abutments [20]. Unit 2 involved the design of anelectrical circuit; a package to contain a plant; an oil spill clean–up process; or site preparation tosupport
of critical success factors for continuous improvement projects." International Journal of Lean Six Sigma 7, no. 3 (2016): 214-232. 2. Bessant, Jo, S. Caffyn, J. Gilbert, R. Harding, and S. Webb. "Rediscovering continuous improvement." Technovation 14, no. 1 (1994): 17-29. 3. Maware, Catherine, and David M. Parsley. "The challenges of lean transformation and implementation in the manufacturing sector." Sustainability 14, no. 10 (2022): 6287. 4. Prince, M.J. and Felder, R.M. (2006), Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases. Journal of Engineering Education, 95: 123- 138. https://doi.org/10.1002/j.2168-9830.2006.tb00884.x 5. Chryssolouris, George, Dimitris
onto the workforce.ACKNOWLEDGMENTThis project was supported by the National Science Foundation, NSF, through the DUE Program,Award No. 1930464. The authors appreciate the support by the NSF and its DUE program. Page 7 of 9REFERENCESU.S. Bureau of Labor Statistics (2018). Educational attainment for workers 25 years and older by detailed occupation. Retrieved from https://www.bls.gov/emp/tables/educational- attainment.htm.Fasano, G. & Franceschini, A. (1987). A multidimensional version of the Kolmogorov–Smirnov test. Monthly Notices of the Royal Astronomical Society, 225(1), p.155-170.Glaser, B. G. (1965). The constant comparative method of qualitative analysis. Social Problems, 12(4
paths, assessingstudents in real-time, and providing instant feedback or suggestions using AI algorithms. As partof a three-year NSF-funded study, the project team implemented adaptive learning in a flippednumerical methods course for pre-class preparation, using multiple previous semesters of flippedclassroom data as the benchmark. Assessment data from 330 students was collected at threediverse engineering schools using a final exam (i.e., for direct knowledge assessment) and theCollege and University Classroom Environment Inventory (CUCEI) for student perspectives.Although some differences in the direct assessment measures with the use of the adaptive lessonswere seen based on the particular school, the overall effects of the adaptive lessons