Skills through Development of a Conceptual Business PlanAbstractAs part of the NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) grant the scholarship recipients at Eastern New Mexico University are required toregister for a one-credit project course. The course encourages students to hone theircommunication skills and gain knowledge in functioning effectively on a multidisciplinary team.This article presents a conceptual business plan to assist students in understanding thecomponents of effective teamwork and the importance of good communication skills. Studentsare provided with a weekly task. The first task includes choosing a company name, andproviding descriptions for: the business, product
Session 3460Redefining Engineering Education Methods Using New Technologies Bahman S. Motlagh, A. Rahrooh, Nick Safai University of Central Florida/University of Central Florida/Salt Lake City CollegeI. IntroductionAs our global community increases its utilization of new technologies in the distributionand acquisition of knowledge and information, new paradigms in engineering andtechnology education emerge. Engineering education’s traditional standards, methods andeducational models must be reassessed in order to proactively address future needs in thetraining of engineers and technologists.A successful engineering education model must
University ofTechnology in Japan, for sharing his microfluidics-based research in the class. SR appreciates hisdepartment for its generous support for the class and Teaching Fellows Program of his college ofengineering.References[1] N. Convey & N. Gadegaard, “30 years of microfluidics,” in Micro and Nano Engineering, 2019, vol. 2, pp.76-91.[2] J. Merrin, “Frontiers in microfluidics, a teaching resource review,” in Bioengineering, 2019, vol. 6, p.109.[3] N. Azizipour, R. Avazpour, D. H. Rosenzweig, M. Sawan & A. Ajji, “Evolution of biochip technology: A review from lab-on-a-chip to organ-on-a-chip,” in Micromachines, 2020, vol. p.599.[4] P. Cui & S. Wang, “Application of microfluidic chip
specificity without the formalized structure required by asystematic review (Arksey & O’Malley, 2005; Borrego et al., 2014; Grant & Booth, 2009;Samnani et al., 2017). ScLRs are particularly useful for quickly mapping out key concepts,existing literature, and evidence to identify gaps in current research defined by a specificresearch question (Arksey & O’Malley, 2005; Samnani et al., 2017). Our study used Arksey andO’Malley’s (2005) ScLR framework (Figure 1), which recommends a five-stage protocol forconducting a scoping review: (1) identify research question(s), (2) identify relevant studies, (3)select relevant studies, (4) chart the data, and (5) summarize and report the results. Figure 1further details the process used in our
Friday Morning Session 2- Student Feasibility Study of a Thrust Vector Control TransportAmen I. Omoragbon, Gary J. Coleman, Lex Gonzalez, Brandon Watters, Bernd Chudoba Mechanical and Aerospace Engineering Department University of Texas at Arlington, Arlington, TX AbstractThrust Vectored Control (TVC) has the potential to advance the design of commercial transports.This research evaluates the feasibility of a TVC commercial transport concept in three phases;(1) thrust vectoring technology review, (2) parametric sizing of a TVC transport, and (3) stabilityand control (S&
of bio-char between 20-30 mesh particle size, the elemental analysisresults are presented in Table 5. Only the elements heavier that K were detected, making themethod impractical for carbon detection, but detailed analysis on materials not picked up by anyother method were obtained.Using XPS, peaks for six elements: C, O, N, Ca, S, and Si were found. The atomic fraction ofeach element in the sample is listed in Table 6. The XPS values have an error of ± 10%. Table 5. Composition of 20-30 Mesh Particles of Bio-Char Sample from XRF (Test Done at MURR) Element Composition K 0.65
spending more time on problem development, and the ease with which the FEED-Solution (F-S) approach can be taught to students.1. Design Maturation. Novice designers often neglect problem development, becoming fixatedon particular solution concepts that are later found to be unsatisfactory.5 Even then, novicedesigners may continue to hold on to their early ideas and try to “design out” their flaws insteadof starting over with a new design concept and/or returning to the problem definition to makesure they have understood it correctly - as an expert designer is more likely to do.At the same time, other studies in design education have shown that a systematic approach to theearly stages of design can be helpful to students,20 as long as it is not too
, deeptidutt.a@gmail.com2012 ASEE Northeast Section Conference University of Massachusetts LowellReviewed Paper April 27-28, 2012Workforce, but only 3.2% of the Science, Engineering, and Technology (SET) workforce. Hispanics comprised9.2% of the overall workforce and 3.0% of the SET workforce.Today‟s engineers need more than simply technical skills. They are expected to be top-producing team players withexperience in working and communicating across racial, ethnic, and gender boundaries. The Accreditation Boardfor Engineering and Technology (ABET) explicitly recognizes the need for diversity in training institutions [9]. Asa
general, how do you feel about the out of class assignments? 4.39 5.00 5 How was the instructor’s presentation in helping you understand the 4.72 4.00 material associated with the course? 9 How stimulating was the instructor? 4.14 3.5016 Overall, how would you rate this course? 4.57 3.5017 Overall, how would rate this instructor? 4.43 3.75AcknowledgmentsFinancial support from the National Science Foundation through grants # EEC-0530575 (PI: Dr.Santosh Kurinec) and # ECS-0521341 (PI: Dr. S. K. Gupta) is gratefully acknowledged.References[1] S. K. Kurinec et al and S. K. Gupta, Microelectronic Engineering Education for
, Abdul Hamid et al. (2018) explored engagement prediction by manpower, including Healthcare, Construction, Entertainment, Computer Conference (EDUCON), Mar. 2022, doi: https://doi.org/10.1109/educon52537.2022.9766690. using AI-assisted facial expression detection. Their model used the Bag of • Ovidiu Andrei Schipor, S. G. Pentiuc, and M. D. Schipor
context, are common behaviors made by novice programmers that resultin negative effects for the code. These consequences can include poor readability, inefficiency, thepresence of code bugs, etc. Good patterns are coding behaviors that students are encouraged to do,such as simply putting their name in a header comment [2]. Students use WebTA by submittingtheir code file(s). WebTA utilizes tree sitters and its database to find all patterns that exist within thecode. The application then provides a general summary, a line-by-line break down, and the abilityto re-download the files for a given submission. The line-by-line breakdown displays which linesof code have a pattern and provides an explanation about the pattern as well as a hint to
their learning journey and also serve as real-time feedback for the instructor tomake midsemester course adjustments.References[1] L. Santiago, "Retention in a first year program: Factors influencing student interest in engineering," in Proc. 2013 ASEE Annu. Conf. & Expo., Atlanta, GA, USA, Jun. 2013, pp. 23- 1045.[2] N. Desai and G. Stefanek, "A literature review of the different approaches that have been implemented to increase retention in engineering programs across the United States," in Proc. 2017 ASEE Zone II Conf., San Juan, PR, USA, 2017, pp. 2–5.[3] J. Ernzen, E. Judson, S. J. Krause, J. Collofello, Y. C. Chen, K. R. Beeley, and R. J. Culbertson, "Effect of student-centered programs on
test a substantiallygreater number of mutations and samples when compared to this work. However, the results inCheers et al. are unable to answer this paper’s research question because the purpose of Cheers etal.’s work is to measure similarity robustness in isolation, and does not attempt to evaluatedetection correctness [15, Sec. 4.1]. The gap between the work of Cheers et al. and this paper’sresearch question is filled by the development of the sensitivity preservation metric that considersonly the similarity robustness that is a result of correctly detected plagiarism. Additionally,Cheers et al. note that “...the interpretation of the second comparative metric poses a threat to thevalidity of results in this work. As discussed, it is not a
9 10If for instance you were pursuing a mechanical engineering (ME) degree and through the courseof the Perseus II project you gained significant new ME relative knowledge and reinforcedinformation from classes throughout your UG career relative to ME that enhanced your abilityto apply ME knowledge you would select something on the higher end of the spectrum torepresent what you feel is a significant educational impact. ii. In a discipline/s of your Perseus II teammates : 1 2 3 4 5 6 7 8 9 10If for instance you were pursuing a mechanical engineering (ME) degree and through the courseof the Perseus II project you gained significant new naval engineering relative knowledge, forexample the knowledge and ability to assess and design
and academic success of engineering students is a critical issuethat will generate a profound impact upon the nation‟s economy and prosperity.1 According tothe American Society of Engineering Education, enrollment in baccalaureate programs increased14% between 2000 and 2005, but the number of engineering graduates remained relativelyunchanged since 2005.2 The demand for qualified engineering graduates will grow 11% between2008 and 2018 based on the most recent U.S. Bureau of Labor Statistics projections.3 Therefore,preparing a qualified engineering workforce is a national issue particularly since the scientificand technological leadership of the U.S. has “experienced a gradual erosion”4 of its position.Considering the critical role played by
preference for oral exams over written exams (16/16/24/24/20%). Table V. End-of-quarter survey. Not at all/ Significantly/ # Question Slightly Moderately To a great extent Did the oral exam(s) help you master the subject material better or provide extra incentive to do so? Did 1 they contribute positively to your learning in the course
able to: Summarize the problem into research Synthesis. Relate knowledge from several question(s) areas i.e. compose, combine, create Design the experiment in steps, at least Evaluation. Making choices based upon identify variables to be manipulated and reasoned arguments responding variables Predict the behavior or have hypothesis Synthesis. Relate knowledge from several areas i.e. compose, combine, create Collect and organize the data in table(s) that Analysis. Organization of parts. Identification is logical and understandable of components (order, classify, arrange) Plot the data
Session 034 A Golf Ball Launcher: An Engineering Dynamics Project David G. Johnson, Jessica D. Sanders Mechanical Engineering Department University of New Mexico Gregory S. Mowles Mechanical Engineering Department University of New Mexico Abstract The purpose of this project was to design and build an apparatus capable oflaunching a golf ball. The apparatus was required to fulfill certain constraints as well asmeet the target objective
satisfaction regardless of the venue. The typical way to show results from a 5-point Likert scale is to show the values indistribution bars. Visualizing in this way is helpful for research when measuring impact but lesshelpful to inform decisions on actions to take based on the results. In this work, we convert theresponses into a percentage to support program benchmarking and facilitate goal setting and thenuse that to assign a letter grade. We then convert the results from each student to a percentage bysumming up all the scores given by the student and dividing by 35 (i.e., seven items x five-pointscale). For example, a student who responds to the PS items with 5's to six items and 4 to oneitem, provides a score of 34 out of 35 possible points
, mathematics, and physics. His current research interests are focused on educational innovation and educational technologies.Dr. Gibr´an Sayeg-S´anchez, Tecnologico de Monterrey (ITESM) Dr. Gibr´an Sayeg-S´anchez is professor – consultant in the Science Department in Tecnologico de Mon- terrey, Puebla campus. He studied a PhD in Financial Science in EGADE Business School (2016), a MSc in Industrial Engineering in Tecnologico de Monterrey (2011), and a BEng in Industrial and Systems En- gineering in Tecnologico de Monterrey (2006). Dr. Sayeg-S´anchez has more than 11 years of experience in teaching statistics, mathematics, and operations research; and more than 13 years of experience in Op- erational Excellence consulting
of the technology used for theShinkansen was developed during the war for non-peaceful purposes. However, post-warJapanese engineers felt the need to expunge their guilt at having developed such technologyand instead utilised it for more peaceful purposes. The learning outcomes from this lecture were measured by filling out a questionnaire.Most of them mentioned their redemption by developing technology used for the war,importance of having a peaceful mindset, safety, and/or the contribution of the threeengineers as the most impressive lessons learned (see their feedback in ‘Program evaluation’below). Figure 4: Some slides from Lectures on ShinkansenProgram evaluation1. Quantitative analysis: MGUDS-S SIT values
Paper ID #37887Persistence and the Pandemic: Retention of HistoricallyUnderrepresented First-Year Engineering Students Beforeand After COVID-19Sequoia Naomi CallahanBlaine Austin Pedersen (Graduate Student)Lerah LockettCamille S. Burnett (Assistant Professor) Camille S. Burnett, Ph.D., ACUE, is Assistant Professor of Mathematics Education and Director of the SMaRTS (Science, Mathematics, Reading, Technology, and Social Studies) Curriculum Resource Lab in the Department of Curriculum and Instruction at Prairie View A&M University. She has almost 20 years of combined experience in the K-12 and higher education
Journal, 56(3), 638-675.Kinser-Traut, J. Y., & Turner, E. E. (2020). Shared authority in the mathematics classroom: Successes and challenges throughout one teacher’s trajectory implementing ambitious practices. Journal of Mathematics Teacher Education, 23(1), 5-34.Koretsky, M. D., Falconer, J. L., Brooks, B. J., Gilbuena, D. M., Silverstein, D. L., Smith, C., & Miletic, M. (2014). The AiChE Concept Warehouse: A web-based tool to promote concept-based instruction. Advances in Engineering Education, 4(1), 7:1-27.Koretsky, M. D., & Magana, A. J. (2019). Using Technology to Enhance Learning and Engagement in Engineering. Advances in Engineering Education.Koretsky, M., Nolen, S., Self, B
] I. Van de Poel, “Design for value change,” Ethics Inf. Technol., vol. 0, no. 0, pp. 1–5, 2018, doi: 10.1007/s10676-018-9461-9.[5] H. C. Luegenbiehl and R. F. Clancy, Global engineering ethics. New York: Elsevier, 2017.[6] Q. Zhu and B. Jesiek, “Engineering Ethics in Global Context: Four Fundamental Approaches,” in American Society for Engineering Education, 2017, doi: 10.18260/1-2-- 28252.[7] P.-H. Wong, “Global Engineering Ethics,” in Routledge Handbook of Philosophy of Engineering, D. Michelfelder and N. Doorn, Eds. 2021.[8] G. Hofstede, Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. New York: Sage, 2001.[9] K. Leung, M. H. Bond, and S
status and nature of K-12 engineering education in the U.S.” The Bridge 39, 3, pp. 5-10.[4] National Academy of Engineering, & National Research Council. (2009). Engineering in K-12 Education: Understanding the status and improving the prospects. Washington, DC: The National Academies Press.[5] I. Zeid, J. Chin, C. Duggan, and S. Kamarthi (2014). “Engineering Based Learning: A Paradigm Shift for High School STEM Teaching.” International Journal of Engineering Education 30(4), pp. 876-887.[6] M. S. Zarske, J. L. Yowell, H. L. Ringer, J. F. Sullivan, and P. A. Quinones (2012). “The Skyline TEAMS Model: A Longitudinal Look at the Impacts of K-12 Engineering on Perception, Preparation, and Persistence.” Advances
et al.’s framework [6]. We alsoidentified new themes emergent from our data.We identified an EER instance when one or more of the group members express negativejudgements of collaborative learning (including uncertainty) and intend to make an adjustment orchange to it. When an EER was identified, we assigned it a code of EER category—the targetarea of regulation (i.e., cognition, behavior, motivation, social, and emotion). We added thecategory of social, which is not in Sobocinski et al.’s framework, to code the regulation towardsconflicts between group members. Table 2 describes the EER categories of target areas.Table 2. Descriptions of target areas of EER. Category Description Cognition Regulating task understanding
International. Kelly is truly passionate about STEM education and attributes much of her career success to the foundation built through her own STEM journey and a hands-on, systems- thinking approach to learning and development. She is excited to serve the ITEEA community of educators and advance technological and engineering capabilities for all.Tyler Love Tyler S. Love, Ph.D. is an Assistant Professor of elementary/middle grades STEM education and the Director of the Capital Area Institute for Mathematics and Science (CAIMS) at The Pennsylvania State University’s Capital Campus. He was previously an Associate Professor and Coordinator of Technology and Engineering Education at the University of Maryland Eastern Shore. His
. In the following sections, the studies on the effectiveness of game-basedlearning (GBL) are summarized first and review on its implementation potential to engineeringeducation is provided as well. Then, the developed game is explained briefly with the learninggoal and topics. We implemented this learning module in two different settings, first for 25 highschoolers at a civil and environmental engineering departmental summer camp and second for alittle under 30 community resilience researchers at the National Institute of Standards andTechnology (NIST)’s Center of Excellence for Community Resilience semi-annual meeting.Feedback was collected after the second implementation which is presented as well to discuss themodule’s future development
students’ learning. Dr. Darabi’s research has been funded by federal and corporate sponsors including the National Science Foundation, and the National Institute of Occupational Health and Safety.Mrs. Rezvan Nazempour, The University of Illinois, Chicago Rezvan Nazempour is a graduate research assistant at the University of Illinois at Chicago. She is com- pleting her Ph.D. in Industrial Engineering and operations research at the Mechanical and Industrial En- gineering Department. She received her BSIE fromDr. Peter C. Nelson, The University of Illinois, Chicago Peter Nelson was appointed Dean of the University of Illinois at Chicagoˆa C™s (UIC) College of Engi- neering in July of 2008. Prior to assuming his