postgraduate research studies as a Master of Engineering student. A Critical thinker continuously looking at ways of improving teacher-student engagement processes, I am adept in organizing work flow, creating lesson plans, presenting ideas in a compelling way, interacting with the learners and fellow trainers with a view to improving content delivery across a range of engineering topics in a learner-based and hands-on approach. As such, I maintain professional boundaries while building lasting relationships. My passion for teaching encompasses circuit analysis, electrical machines and digital electronics, courses delivered while working as an assistant lecturer in Kenya at The Jomo Kenyatta University of Agriculture and
followingprompt: How easy or difficult was this assignment for you, and why? What particular aspects orparts gave you the most trouble? How do you plan to overcome your challenges?” In alignment with earlier cited research [2]-[4], [6]-[8], the intention behind this writingassignment was to encourage engineering students to improve their performance throughenhanced metacognition. In an attempt to encourage the students to engage with the writingcomponent of their homework assignments, the instructor graded these writing assignments forcompletion only. Because this component of the homework assignment was also submittedelectronically, the instructor was able to provide feedback to student submissions morefrequently and consistently than what had
, “Engineers, figuring it out: Collaborative learning in cultural worlds,” J. Eng. Educ., vol. 113, no. 1, pp. 164–194, Jan. 2024, doi: 10.1002/jee.20576.[11] Kern Family Foundation, “KEEN Engineering Unleashed.” 2019. Accessed: Feb. 01, 2019. [Online]. Available: https://engineeringunleashed.com/[12] D. M. Riley, “Employing Liberative Pedagogies in Engineering Education,” J. Women Minor. Sci. Eng., vol. 9, no. 2, pp. 30–32, 2003.[13] L. L. Bucciarelli and D. E. Drew, “Liberal studies in engineering – a design plan,” Eng Stud., vol. 7, no. 2–3, pp. 103–122, 2015.[14] E. A. Cech, “Culture of Disengagement in Engineering Education?,” Sci. Technol. Hum. Values, vol. 39, no. 1, pp. 42–72, 2014, doi: 10.1177
Paper ID #42562An Autoethnography of the Student Experience Solving an Open-Ended StaticsProblemKatelyn Churakos, University at Buffalo, The State University of New York Katelyn Churakos is an undergraduate research assistant in the Department of Engineering Education at the University at Buffalo. She is majoring in Mechanical Engineering with a minor in Law and is expected to graduate in December 2025. After graduation, Katelyn plans to pursue employment in the mechanical engineering field, preferably in project management.Jayden Mitchell, University at Buffalo, The State University of New YorkDr. Jessica E S Swenson
Evaluation Coach at Planning, Implementation and Evaluation (PIE) Org, where she manages multiple community-centered research projects. Her research interests includes mixed methods, global peace, and international affairs. Francisca earned her M.Ed. in Educational Research Methodology at Boston College and received a BA in Human Services and International Affairs.Dr. Nancy Lynn Raschke Deichstetter DNP, RN, CEN, CHSE, Loyola University, Chicago Nancy Raschke Deichstetter, DNP, RN, CEN, CHSE is a Clinical Assistant Professor in the Marcella Niehoff School of Nursing, Loyola University-Chicago. She teaches all simulation scenarios in the undergraduate program and designs scenarios specific to medical-surgical and emergency
door to miscommunication and an increase in potentially fatal risks.In a less fraught outcome, many participants (11/24) after the “error” prompt began to distrustthe data. Their responses ranged from requesting a repeat of the experiment, consulting externalresources, or formulating a plan to re-analyze the data themselves. This highlights a practicalissue communicating between statistical and engineering audiences: Statisticians accept andexpect that variation will enter into data analysis, and normatively refer to certain variations as“error.” However, the term “error” may erode an engineers’ trust in a dataset.ImplicationsThese different interpretations of “error” encourage drastically different approaches toengineering design decisions
not to produce comprehensive or exhaustive cataloging of climatesthat exist in engineering doctoral education, the selection of seven focused climates is bestunderstood as a strength rather than a limitation.As items were not grouped to indicate Psychological safety climate, we planned to revise theitems and add new items for the second round of data collection. In addition, items presentingmulticollinearity, such as four items in Perceived cultural diversity, two items each in Diversityclimate, Mastery Climate, Performance climate, Authenticity climate, Organization support, andAffective commitment, will be revised to capture slightly different aspects of the designatedclimate and commitment constructs, while avoiding multicollinearity.Once
measures concerning a potential flood project were unrealistic: I just had to really just convey there were only so many options that we had in order to convey these floodwaters in a safe manner that wouldn't put people at risk, and the client kept getting stuck on how, quote, unquote, "Unrealistic" the flood was. So, I just kind of had to defer to ethics as unrealistic as somebody might think that is, the responsible and ethical thing to do is to plan for the worst-case scenario.Cesar shared a safety situation at the site: Safety is huge when it comes to ethics, right? Especially in a concrete manufacturing plant, you have dust all over the place, it's super dirty. There was a lot of moving pieces
bring change. So, I would say that to be honest, that's one of the biggest driving forces for me to pursue engineering, the kinds of things that I want to generate in my country at some point because there are changes, and at a large scale, not just like local changes. It's still within my plans to go to my home country at some point and make those changes, but I don’t know if I would describe my work right now as fully related. Right now, it's mostly about developing myself so I can be fully prepared, and someday we'll go back. But for the work I’m doing, I'm kind of like realistic in that it isn’t fully towards my goal—sadly, my country is really poor. There are a lot of other structural issues that we have to solve first in
engineers’ moral obligation to scab in this context[28].The BER begins their analysis by claiming that an engineer’s participation in collective actionNSPE deems coercive would normally conflict with an engineer’s duty to protect the health andsafety of the public in addition to the aforementioned canon regarding being a faithful agent oftheir employer. They make this claim of a duty to protect health and safety with no supportingevidence of how that applies in this case. It is conceivable that there may be situations where asudden lack of personnel could cause safety concerns, but there was no indication of this in thecase description. On the contrary, strikes require significant planning that the companyexecutives would have some awareness of
practice was used to provide amore rounded learning plan, aimed to develop both conceptual knowledge of introductory ethicsand applicative skills in recognizing an ethical situation and how to resolve it. Whether this blendedapproach was beneficial to the learning of students is also evaluated based on attendance and finalquiz grade performance. Investigating the students’ engagement and their ability to apply theASIDE model will be indicated using student survey responses and completion of topic andpractice quizzes. Performance will be determined using the grades from the multiple choice (MC)portion and the case study (ASIDE) portion of the final quiz.Student EngagementMaintaining student engagement in large class sizes is a common hurdle for
medium-sizedto large-scale enterprises. 3 out of the 19 students completed one of their internships in Chinaat multinational companies headquartered in France, while the remaining internships werecompleted in Chinese companies. 4 out of 19 plan to seek further studies whereas the othershave found employment or are in the finalizing stage. The sample provides a reasonablerepresentation of the diversity within the program's overall population, including genderdistribution, internship experiences and career paths, with the aim of capturing a broad rangeof perspectives and experiences related to WIL within the program. Table 1 presents detailedinformation about the participants.Table 1. Participant informationParticipant Gender Internship
experience and learning.AcknowledgementsThis work was funded in part by a grant from NEO Performance Materials.References[1] P. Northouse, “Leadership: Theory and Practice,” All Books and Monographs by WMU Authors, Jan. 2010, [Online]. Available: https://scholarworks.wmich.edu/books/103[2] H. W. J. Rittel and M. M. Webber, “Dilemmas in a general theory of planning,” Policy Sci, vol. 4, no. 2, pp. 155–169, Jun. 1973, doi: 10.1007/BF01405730[3] M. R. Kendall, D. Chachra, K. Gipson, and K. Roach, “Motivating the need for an engineering‐specific approach to student leadership development,” New Drctns Student Lead, vol. 2022, no. 173, pp. 13–21, Mar. 2022, doi: 10.1002/yd.20475.[4] R. L. Martin, The opposable mind: winning through
andorganizational skills to succeed. They encourage students to plan and prioritize their workefficiently.Life-Long Learning Mindset: Engineering and technology fields are constantly evolving, sofaculty members believe that students should have a mindset of continuous learning. Theyencourage students to seek out opportunities for professional development and further education.Awareness of Industry Trends and Practices: Faculty members often believe that studentsshould be aware of current industry trends, best practices, and emerging technologies. They mayencourage students to engage with industry professionals, attend conferences, and participate ininternships.Resilience and Perseverance: Engineering technology faculty members understand thatstudents may
are urged to develop a clear implementation protocol thatemphasizes the rationale for specific parts of the intervention; to institute training for implementersprior to the intervention that discusses how to handle planned and unplanned events that mayoccur; and to observe interventions to measure fidelity and produce fidelity calculations [13]. Indoing this, researchers should utilize a multi-perspective multi-method approach to assess fidelity(for example, both expert observations of implementers as well as surveys of student recipients toassess treatment receipt) [14]. Additionally, implementor competence (e.g., body language,warmth, ability to engage with participants) should be assessed [15]. Finally, fidelity assessmentdata should be
configurations. Theexperiment fit coherently into the lab curriculum. Because of the nature of this course and labexercise, whereby students must develop an understanding of the equipment in order to performthe experiments, this exercise may be useful for direct evaluation of ABET Criteria 3: StudentOutcomes 6 regarding “an ability to develop and conduct appropriate experimentation, analyzeand interpret data, and use engineering judgment to draw conclusions.” With careful planning andadministration of this exercise, other outcomes could also be evaluated, such as Outcomes 1, 3, 5,and 7 [20]. Additionally, the system described in this paper has the benefits of being easilymaintained at low cost. For example, to replace any single system in one of the two
Paper ID #41920Board 432: Work in Progress: Immersive, Hands-On, and Interactive QuantumInformation Science and Technology: Empowering Undergraduate Studentsin Quantum ComputingMr. Syed Hassan Tanvir, University of Florida Syed Hassan Tanvir is a doctoral candidate in Engineering Education at the University of Florida. He holds a bachelor’s degree in Computer Science and a Master’s in Software Engineering. His research is focused on investigating the factors that influence engineering undergraduate enrollment, retention, graduation, and dropout. For his Ph.D., he plans to incorporate stealth assessment techniques to foster
. Bistarkey, “US manufacturing ecosystem key to economic growth, innovation, Competitiveness.,” Am. Ceram. Soc. Bull., vol. 101, no. 9, p. 47, 2022.[7] B. Esmaeilian, S. Behdad, and B. Wang, “The evolution and future of manufacturing: A review,” J. Manuf. Syst., vol. 39, pp. 79–100, Apr. 2016, doi: 10.1016/J.JMSY.2016.03.001.[8] L. Wang, S. Keshavarzmanesh, H. Y. Feng, and R. O. Buchal, “Assembly process planning and its future in collaborative manufacturing: A review,” Int. J. Adv. Manuf. Technol., vol. 41, no. 1–2, pp. 132–144, Mar. 2009, doi: 10.1007/S00170-008-1458- 9/METRICS.[9] Y. Cohen
builtinto smart phones such as Siri, was a polarizing issue for most of the participants. Thirteenparticipants have VAs installed in their homes and use them regularly, expressing satisfactionwith how well they worked. Five of the remaining nine participants that did not use VAs werequite adamant that they did not use them and were not planning to do so, citing privacy concernsof installing passive monitoring devices in their homes. A wide variety of smart devices were mentioned by participants. The most commondevice, mentioned by twelve participants, was smart outlets that were used primarily to remotelycontrol Christmas lights, regular lights, and fans. Seven participants discussed security-relatedsmart devices such as Ring doorbells
with ways of viewing their practice,and the products of that practice. Though it does not support one normative moral theory asappropriate, or a specific ontological frame as accurate, the philosophy of engineeringencourages discussion in each of these areas so that practitioners develop ideas and plans thatmeet the needs of diverse stakeholders. When added to a social foundations of engineeringcourse, it supports the elaboration of goals and processes that are transparent and sustainable,granting that each of these terms also have varying degrees of interpretation. © American Society for Engineering Education, 2024 14
rationale underlying elements within their design. “It's mostly just the general recommendations, like I'm not including, like, a function name or a list of all the variables. Because I'm just trusting that the variable names kind of explain themselves.”Some of the designers’ comments also indicated that they held a constrained view of their roleand influence on the project. They made limited efforts to forecast what design decisions wouldneed to be made by future designers and did not make their own design decisions with thosefuture decisions in mind. “Like from my end? …I don't know a lot about what they plan for the future, so I just made things with what information I had. So there
as a result. Separately, any excerpts that were reflective of the strength ofthe participants’ anticipatory and initial—prior to and following their first year of study,respectively—SoB were captured, often In Vivo to maintain the students’ individual voices [31].In a second round of coding, the socialization experiences were then sorted into two categoriescapturing the participants’ exposure to their university and their planned discipline. Finally, theparticipants’ anticipatory and initial belonging was mapped against their pre-college experiencesto find themes across the eight students.PositionalityThe author recognizes his own positionality with respect to the work done in this study. Heacknowledges his privilege in having been able to
Paper ID #42446Implications of Engineering and Education Professor’s Problem-Solving Mindsetson Their Teaching and ResearchMs. Alexis Suzanne Capitano, Colorado School of Mines Alexis currently attends the Colorado School of Mines. She is a senior majoring in Electrical Engineering and simultaneously pursing a Masters of Science in STEM Education with a planned graduation date of December 2024.Ryan Miller, Colorado School of MinesDr. Kathryn Johnson, Colorado School of Mines Kathryn Johnson is a Professor at the Colorado School of Mines in the Department of Electrical Engineering. In the Fall 2021, she visited the
,” in Learning and Teaching Across Cultures in Higher Education, D. Palfreyman and D. L. McBride, Eds., London: Palgrave Macmillan UK, 2007, pp. 93–113. doi: 10.1057/9780230590427_6.[21] D. N. Ugwu and M. Adamuti-Trache, “Post-Graduation Plans of International Science and Engineering Doctoral Students Attending U.S. Universities,” J. Int. Stud., vol. 7, no. 1, pp. 1–21, Jan. 2017, doi: 10.32674/jis.v7i1.242.Appendix A5.1 Narrative 1: AuthorXI came to the United States as an international student from India to study a literacy education Ph.D.program at a midwestern Historically White Institution (PWI) high research (R2) university. I came froma heavily quantitative mindset due to my background in psychology in India
(Hispanic, black, native, and others) were combined toform an underrepresented minorities (URM) category. Most students in the spring semester wereenrolled in the mechanical engineering (ME) major, whereas in the fall semester, a majority werepursuing degrees in electrical or computer engineering. This disciplinary distribution can beattributed to the way these courses are structured in the students' degree study plan. Industrialengineering (IE) was the next most popular major among the students who took this course,while the remaining majors were categorized as “other.” Table 1: Descriptive Statistics by Semester Spring 2021 Fall 2021 Male Female
: https://doi.org/10.1115/1.2020-SEP3.[4] NSPE Advisory Committee, “Why Should I Care About Diversity in Engineering? | National Society of Professional Engineers,” PE Magazine, no. July/August 2020, Aug. 2020. Accessed: Dec. 12, 2021. [Online]. Available: https://www.nspe.org/resources/pe- magazine/july-2020/why-should-i-care-about-diversity-engineering[5] J. M. Trenor, S. L. Yu, C. L. Waight, K. S. Zerda, and T.-L. Sha, “The Relations of Ethnicity to Female Engineering Students’ Educational Experiences and College and Career Plans in an Ethnically Diverse Learning Environment,” J. Eng. Educ., vol. 97, no. 4, pp. 449–465, Oct. 2008, doi: https://doi.org/10.1002/j.2168-9830.2008.tb00992.x.[6] H. S. Mosatche
describes the relationship between these factors, where perceived ease ofuse and perceived usefulness are predictors of behavioral intention to use, and behavioralintention to use predicts actual use [17]. In the TAM model, perceived usefulness is defined as the degree to which an individualbelieves that using a system would enhance their performance, perceived ease of use is definedas the degree to which a person believes that using a system would be free of physical or mentaleffort, behavioral intention to use is defined as the cognitive processes, plans, and motivations anindividual has to perform a behavior, and actual use is defined as the specific use of atechnology, including how frequency of use, time spent using it, and more [17