Republic). 8Participants primarily described the technical or disciplinary skills and knowledge they appliedto developing and implementing the project when asked “What contribution(s) did you make tothe MOM program?” These skills included clinical skills, public speaking, data collection andanalysis, language translation, and lesson planning and delivery. The skills highlighted variedbased on the program and its individual goals.Conclusions & RecommendationsThis study reflected the effectiveness of the MOM program at Mercer University on theconstructs of program preparedness, global competency, and knowledge transfer. This evaluationwas done through pre- and post-program surveys completed by
prompted the continuation of the project in Spring 2024. Inthe future, this project will be expanded into a study on student self-efficacy to better understandwhich experiences are impactful and beneficial as students develop into engineers.References1. Freeman, S. et al. Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111, 8410–8415 (2014).2. Ponton, M. K., Edmister, J. H., Ukeiley, L. S. & Seiner, J. M. Understanding the Role of Self‐Efficacy in Engineering Education. J. Eng. Educ. 90, 247–251 (2001).3. Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R. & Kennedy, M. S. Measuring Undergraduate Students’ Engineering Self‐Efficacy: A Validation
support girls’development of awareness, understanding and interest in engineering. Research can be extendedto investigate the impact of parents for other underrepresented groups.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grants No.HRD-1136253 and EEC 1129342. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation. Meagan Pollock is supported through the National ScienceFoundation Graduate Research Fellowship program. This work was also supported by INSPIRE,Purdue’s Institute for P-12 Engineering Research and Learning. We would also like toacknowledge the
difficulties that may be encountered when ensconced in full-time, permanentengineering employment. This paper will detail some of the necessary elements required to makemechanical engineering and engineering technology capstone courses simulate real world workexperience and provide students with immersion in their senior design experience which engagestheir “soft skills”. It presents a method whereby the senior design course is taught by a facultywith extensive industry experience and guided by the panel of experts made up of other facultyfrom the department and industry representatives. The technique(s) presented in this paper weretailored to the traditional roles of mechanical (design) engineers in the modern industrial setting,but can be reapplied
, , M. Richey, K. McPherson, X. Fouger, and C. Simard, “Graduate and undergraduate design projects utilizing a virtual product life-cycle management (VPLM),” in American Society for Engineering Education Annual Conference and Exposition, 2008.15. W. M. Butler, J. P. Terpenny, R. M. Goff, R. S. Pant, and H. M. Steinhaur, “Improving the aerospace capstone design experience through simulation based learning,” International Journal of Engineering Education, vol. 28, no. 2, pp. 1–9, 2012.16. R. Goff and J. Terpenny, “Engineering design education - core competencies,” in 50th AIAA Aerospace Sciences Meeting (ASM). Nashville, TN: American Institute of Aeronautics and Astronautics, January 2012.17. U. Haupt, “Case
. (2020). Why Should I Care About Diversity in Engineering? National Society of Professional Engineers. https://www.nspe.org/resources/pe-magazine/july-2020/why-should-i- care-about-diversity-engineering 3. Dewsbury, B. M. (2017). On faculty development of STEM inclusive teaching practices. FEMS Microbiology Letters, 364, fnx179. https://doi.org/10.1093/femsle/fnx179 4. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and © American Society for Engineering Education, 2023 2023 ASEE Midwest Section Conference mathematics. Proceedings of
isplanned to be carried out in 2024 and more detailed results and analysis will be presented in thefull paper. © American Society for Engineering Education, 2023 2023 ASEE Midwest Section ConferenceReferences[1] G. Rizzoni, Principles and Applications of Electrical Engineering, 6th ed. New York, NY,USA: McGraw-Hill Higher Education, 2016.[2] Q. Du and J. Schneider, “improvement of an electrical engineering course offered to non-electrical engineering majors,” in Proc. of ASEE Annual Conference and Exposition, Chicago,IL, USA, 2006.[3] S. Bell and M. Horowitz, “Rethinking non-major circuits pedagogy for improvedmotivation,” in Proc. ASEE Annual Conference and Exposition, Salt Lake City, UT, USA
2024 ASEE Midwest Section Conference4. SummaryBy providing a new perspective, the synthesis highlights how engineers, managers, andentrepreneurs handle the planning and execution of lifecycle stages for manufacturing plants andproducts across commercial, government, private, and public sectors. The Left column in [Fig.1]shows the breakdown of deliverables and activity structure from the manager’s and engineers'perspective while right columns depict the plan of action from the entrepreneur’s perspective.The perspectives were sequenced with respect to the life stages of systems engineering.References[1] K. Agustian, E. S. Mubarok, A. Zen, W. Wiwin, and A. J. Malik, “The impact of digital transformation on business models and competitive
. Values, vol. 39, no. 1, pp. 42–72, 2014.[4] C. McCall, L. D. McNair, and D. R. Simmons, “Advancing from outsider to insider: A grounded theory of professional identity negotiation in undergraduate engineering,” J. Eng. Educ., vol. 110, no. 2, pp. 393–413, 2021.[5] K. L. Meyers, M. W. Ohland, A. L. Pawley, S. E. Silliman, and K. A. Smith, “Factors relating to engineering identity,” Glob. J. Eng. Educ., vol. 14, no. 1, 2012.[6] Y. M. Xu and B. Gravel, “A case study: Making facilitates an engineering student’s (re)negotiation with her disciplinary relationships,” in 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland, 2023.[7] A. Calabrese Barton, H. Kang, E. Tan, T. B. O’Neill, J. Bautista-Guerra, and C. Brecklin
experience. These are situations in which the designer(s) are most likely not to reflect anunderstanding or shared identity of end users’ needs and conditions. While the field ofengineering is diversifying, in the United States, nearly three-quarters of engineering positionsare still held by men, two-thirds of whom identify as white [12]. Until there is greaterrepresentation in the sciences and engineering fields, new pedagogical approaches are required toensure that engineering designs are inclusive and appropriate for the sociocultural contexts intowhich they are implemented.Many institutions develop DEI education as a separate, focused course to assist engineers inunderstanding place-based context. Social science courses may go some way in
, cooperation, and cognitive development.AcknowledgmentThis study is part of the work supported by the National Science Foundation Grant # 1915615, titled“Adapting an Experiment-centric Teaching Approach to Increase Student Achievement in MultipleSTEM Disciplines.” It should be noted that the opinions, results, conclusions, or recommendationsexpressed are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] O. A. Owolabi, J. K. Ladeji-Osias, O. S. Alamu and K. A. Connor, “Global Impact Experiment-Centric Pedagogy and Home-Based Hands-on Learning Workshop at a Historically Black University”, Paper presented at 2021 ASEE Annual Conference & Exposition, Virtual[2
the communication divide and respond accordingly. Upon completionof the module, students completed a case study and were required to analyze the intent andimpact of the conversation between the two characters in the case and propose strategies toovercome the situation. The goal of this module was to help students develop knowledge ofverbal and non-verbal communication styles, worldview, openness, and curiosity. Moreover, thePIM on tricky communication [19] was prefaced with a TedTalk presented by Julien S. Bourrelleabout learning new cultures and what that could entail. An additional reading on the differencesbetween the intent and impact of communication was also supplied. The goal of the TedTalk andreading was to foster worldview, openness
token economy can guide and motivatechemical engineering students in a fluid dynamics course to revisit concepts during the semestervia revisions to previous assignment attempts. Under the token economy, students acquiredtokens as they fulfilled expected class engagement standards and exchanged tokens to purchaseresubmission opportunities on homework or quizzes, which rewarded back a portion of missedpoints to their assignment grade. It is also through these resubmission opportunities that studentsexercised goal-directed practices of identifying the original error(s) and explaining how theadded revision resolved their error(s). Effects of the token economy on how the course wasexperienced were assessed through student survey responses with the
for theircontributions to this study's assessment components.This material is based upon work supported by the National Science Foundation under Grant No.2141984. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.10. References[1] A. Vidak, I. Movre Šapić, and V. Mešić, "An augmented reality approach to learning about the force of gravity," Physics Education, vol. 56, 2021, doi: 10.1088/1361-6552/ac21a3.[2] R. A. Serway and J. W. Jewett, Physics for Scientists and Engineers, 10 ed. Cengage Learning, 2019, p. 1162.[3] A. Bedford and W. Fowler, Engineering Mechanics: Statics, 6th ed. Upper Saddle
engineering laboratory courses and asked the respondents to answer survey itemsrelated to five research questions: 1. What are the three most important learning outcomes for a laboratory-intensive chemical engineering course? [Open-ended Response] 2. How important are the following learning outcomes for a laboratory-intensive chemical engineering course? [Likert scale for level of importance and Top 5 of importance ranking] 3. What gaps exist in the thirteen learning outcomes identified by Feisel and Rosa? [Open- ended Response] 4. Which learning outcome(s) do you feel you have the most trouble with / are weakest in? [Select 3] 5. Which learning outcome(s) do you feel your overall chemical engineering
wind turbinethe generated power to the wind speed, ananemometer is used for measurement of wind speed. Wind power at each fan velocity isapproximated using equation 1. 1 (1) P = ρa Av 3 2Where, “P” is power (watts), “ρa ” is air density (kg/m3), “A” is the air flow area (m2), and “v” isair velocity measured by the anemometer (m/s).The calculated wind power is then compared against the power generated by the turbine at differentfan speeds and blade designs and the efficiency of power conversion is calculated for eachcombination, which helps in selection of the best design.SOLAR ENERGY UTILIZATIONFor solar energy utilization, student teams are to build
] Van Veelen, R., Derks, B., & Endedijk, M. D. (2019). Double trouble: How beingoutnumbered and negatively stereotyped threatens career outcomes of women inSTEM. Frontiers in Psychology, 10, 150.[6] Statistics Netherlands (2016). De Arbeidsmarkt in Cijfers 2016. Available at:https://www.cbs.nl/-/media/_pdf/2017/19/de-arbeidsmarkt-in-cijfers2016.pdf[7] Stoeger, H., Duan, X., Schirner, S., Greindl, T., & Ziegler, A. (2013). The effectivenessof a one-year online mentoring program for girls in STEM. Harvard Kennedy SchoolGender Action Portal.[8] Kupersmidt, J., Stelter, R., Garringer, M., & Bourgoin, J. (2018). STEM Mentoring.Supplement to the "Elements of Effective Practice for Mentoring". MENTOR: TheNational Mentoring Partnership
also be explored.AcknowledgementsSupport for this work was provided by the National Science Foundation under Award No.2301341. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. Research work was conducted under institutional IRB protocols, IRB#1965654. Theauthors would also like to thank Dr. Jenni Buckley for providing copies of her EngineeringStatics class notes for use in this work.References1. ABET, “Criteria for Accrediting Engineering Programs, 2020 – 2021 | ABET,” ABET, 2021. https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering- programs-2020-2021
setup, a Singatone H150 Probe Station was used, as shown in Fig. 1.1 Themicropositioner was placed on the steel plate around the stage. It was used to position the probeto make connections and to measure properties of DUT. A Singatone S-725 micropositioner wasautomated in this setup. An unmodified micropositioner is shown in Fig. 2.2 There were three basic controls on the micropositioner to control the position of the probein three dimensions as highlighted with arrowed lines in Figure 2. The first control, X, was forthe lateral position of the probe tips. This was a linear control which moved the tip directlyproportional to the amount of turns of the knob attached to it. The other two controls for theposition, Y and Z, were not linear
electrolytic method (subtractive) for PCBmanufacturing, the additive process water-based process greatly reduces the number ofmanufacturing steps, eliminates the need for toxic solvents, and greatly reduces metallic andchemical waste. Circuit patterns made using this technology have broad application and can beapplied to many future PCB demands of the marketplace such as medical circuits, flexiblematerial, and sustainable electronics. Using this technology student of Circuit Theory Laboratorycourse, designed fabricated and tested their own capacitors and sensors. It was fast and reliableexperiment and engaged students in laboratory works.References 1 S. Karsten, et al., “Environmental Management in Semiconductor and Printed Circuit Board
methods,” in 2005 IEEE international conference on systems, man and cybernetics, 2005, pp. 86–91.[7] D. DeLaurentis and R. K. Callaway, “A system-of-systems perspective for public policy decisions,” Review of Policy research, vol. 21, no. 6, pp. 829–837, 2004.[8] N. Guarino, D. Oberle, and S. Staab, “What Is an Ontology?,” Handbook on Ontologies, pp. 1–17, 2009, doi: 10.1007/978-3-540-92673-3_0.[9] Oxford English Dictionary, “https://www.oed.com/.”[10] T. R. Gruber, “A translation approach to portable ontology specifications,” Knowledge Acquisition, vol. 5, no. 2, pp. 199–220, Jun. 1993, doi: 10.1006/KNAC.1993.1008.[11] Z. Ming et al., “Ontology-based representation of design decision hierarchies,” J Comput
] J. J. McCluskey, T. S. Parish, “A comparative study of cognitive skills in learning hypercard by right-braindominant, left-brain dominant, and mixed-brain dominant students”, Education, vol. 113, no. 4, pp. 553(1993).[5] L. S. J. Farmer, “Left Brain, Right Brain, Whole Brain”, School Library Media Activities Monthly, vol. 21, no. 2,pp. 27 (2004).[6] Alexandra S. Golon, Visual-Spatial Learners, Prufrock Press, 2008.[7] K.M. Harmeyer, K.C. Wetzel, "Brain research and implications for engineering education," vol. 1, pp.466-470,Proc. of the 26th Annual Frontiers in Education (FIE'96), 1996. [8] Yantorno, R.E. and J.A. McFann. "Picturing signals." vol. 1, pp. 314-318 Proc. of the 28th Annual Frontiers inEducation (FIE'98), 1998. [9] Daniel H
and theories to practice.The learning style questionnaire (LSQ), consists of four stages of learning where each stage has adifferent approach for all types of learners. Anthony Gregorc‟s model is based on mentalimagery and these images indicate the individual learning strengths or styles.33 The modeldefines two major phases and each phase has two stages as follows: Proceedings of the 2011 Midwest Section Conference of the American Society for Engineering Education 5 1. Perceptual Qualities: a. Concrete Stage. Information is registered directly. b. Abstract Stage. Enables the conception and visualization of ideas
rigorous classroom work with hands-on exposure toapplications of what students are learning. For over two decades, Rose-Hulman has beenevolving methods to prepare students to meet the increasing demands to be significantlyproductive in shorter and shorter amounts of time. Traditional, single discipline focusedlaboratory experiments do not adequately convey current professional requirements. Since the1980’s, the Institute has increasingly used realistic experiences to educate students about themultidimensional challenges of actually implementing innovation. In 1999, building onsuccesses of earlier efforts in new product development first in applied optics and later in abroader range of disciplines, Rose-Hulman launched a unique incubator/new
g FP5 500 FP6 s 400 c FP7 o 300 r FP8 e 200 FP9 100 0 0 20 40 60 80 100 120
session lasted for more than an hour. Session 1’s duration was 86minutes, Session 2 lasted for 78 minutes, and Session 3 lasted for 74 minutes. A total of 238minutes (3 hours 180 minutes) worth of qualitative data was obtained. 3.4. Data AnalysisThe qualitative data was prepared, cleaned, and subjected to the MMCS analytical approachstarting with the thematical analysis [33]. The thematic analysis involved open coding,allowing for the initial identification and labeling of significant concepts within the data [34],[35], [36]. Subsequently, the generated codes were organized into meaningful categories,laying the foundation for the development of coherent themes that encapsulate the essence ofthe data. Next was to develop the teamwork or team
] S. Negash, “Business intelligence,” Communications of the association for information systems, vol. 13, no. 1, p. 15, 2004. [5] S. Siuly and Y. Zhang, “Medical big data: neurological diseases diagnosis through medical data analysis,” Data Science and Engineering, vol. 1, pp. 54–64, 2016. [6] D. A. Jenkins, M. Sperrin, G. P. Martin, and N. Peek, “Dynamic models to predict health outcomes: current status and methodological challenges,” Diagnostic and prognostic research, vol. 2, no. 1, pp. 1–9, 2018. [7] J. Chen, K. Li, H. Rong, K. Bilal, N. Yang, and K. Li, “A disease diagnosis and treatment recommendation system based on big data mining and cloud computing,” Information Sciences, vol. 435, pp. 124–149, 2018. [8] L. Sun, C. Liu
Engineering Education.In International Perspectives on Engineering Education (pp. 203-216). Springer InternationalPublishing. https://doi.org/10.1007/978-3-319-16169-3_10Lappalainen, P. (2015). Predictors of effective leadership in industry - should engineeringeducation focus on traditional intelligence, personality, or emotional intelligence? Europeanjournal of engineering education, 40(2), 222-233.Jadidi, M., Tennakoon, D., Ullah, A., Usman, M., Vaileiou, A., Latchaev, S., Perras, M., Khan, U.T., & Baljko, M. (2022). A New Realm of Experiential Education Using Mixed Reality Sandbox.Canadian Engineering Education Association Conference, 2022.Jadidi, M. & Usman, M. (2021) “Virtual Field Surveying: A Gamification Approach”, CanadianEngineering
skills, and inadequate or ineffective academicadvising and mentoring. In 2009, Cañada College, a federally designated Hispanic-servinginstitution in the San Francisco Bay Area, received a National Science Foundation Scholarshipsin Science, Technology, Engineering, and Mathematics (S-STEM) grant to develop a scholarshipprogram for financially needy community college students intending to transfer to a four-yearinstitution to pursue a bachelor’s degree in a STEM field. In collaboration with the College’sMathematics, Engineering, and Science Achievement (MESA) program – an academic, personal,and professional support structure has been designed and implemented to maximize thelikelihood of success of these students. This support structure aims to
demonstration of non-lineareffects occurring in the DC motor (due to dry friction) illustrated in fig. 5, and in the equations ofmotion of the pendulum (the sine term). Over the course of this experiment, the students alsoapply the method of feedback linearization by removing the sine term from the equations ofmotion of the pendulum (by including it in the computed control signal). 80 60 θ (degrees) 40 20 0 -20 0 5 10 15 20 25 Time (s) Fig. 4: Open loop response Fig. 5: Sine of the steady-state