Conference Copyright © 2013, American Society for Engineering Education 68produce high DC output with the low-voltage AC input. The electronics modified by theundergraduate research team works well. Figure 6: The DC output voltage is measured at various duty cycle of the main switch S0’s control signalIn the traditional AC-DC boost converter design, the switching frequency is 10 ~ 50 × higherthan that of the input AC [12, 13], therefore, the timing between the switching pulse and theinput AC is not critical to the converter's performance. In this low switching frequency AC-DCboost
problem/solution scenarios,each more robust than the previous. The process of open inquiry that takes placeas a team (and the set of teams in a class) is the activity that produces the deeplearning required for attitude and confidence development.The program outcomes for which summative assessments are expected for SeniorDesign with respect to ABET 2000 are allocated to the various course artifacts(see Table 1). Many of these artifacts provide the basis for formative evaluationsfor both the students and faculty during the course but they may also serve assummative evaluations of program outcomes. Six unique perspectives areincorporated in these assessments; the faculty responsible for the course F, studentself evaluation S, classmate peer
and active learning. It is not possible to learn these concepts bydoing only mathematical problems. It is also important for instructors to follow goodpedagogical practices including having clear learning objectives and assessments. 1. Identify possible sociotechnical collaborators 2. Identify a salient course topic that has broader social and environmental implications 3. Identify, add or update existing course learning objectives and/or ABET student outcome that this sociotechnical course topic aligns with 4. Create learning objectives for specific sociotechnical modules 5. Create modules by designing activities for homework before and/or after class session(s) as well as class session(s) that
of communicating learning achievement since theearly 1900’s [1]. Despite grades having the very practical purpose of communicating our levelsof learning or performance achievement to both the learners and the educational system morebroadly [2], [3], when reflecting on the moments and instances in which we remember receivinggrades we likely don’t only remember the learning material or content. Intertwined with thesememories of receiving grades are likely emotional reactions - sometimes incredibly strong. Thejoy and pride of achieving a good grade, the disappointment or frustration with a bad grade, orthe anticipatory excitement or fear related to either preparing for a graded event such as an examor presentation, or even waiting for a grade
to figure out which elements on project teams are prompting the development and practiceof professional skills on project teams to understand if those elements can be replicated in other settings.Not all students or institutions have the resources or availability to expand or participate in project teams.However, by understanding which structures or elements have been useful for developing professionalskills, instructors can introduce similar tactics into classroom settings so more students have opportunitiesto develop their professional skills.References[1] L. Bland, S. Kusano, and A. Johri, “Engineering Competitions as Pathways to Development of Professional Engineering Skills,” in 2016 ASEE Annual Conference & Exposition
category 25.00% 20.00% 15.00% 10.00% 5.00% 0.00% Novice (S=1) Apprentice (S=2) Proficient (S=3) Exemplary (S=4) (a) Fall 2009
or newer designs which are too time-consuming and expensive to built. Rsoft’sOptSim simulation tools have been our focus system simulation CAD tool for fiber opticlinks.[1]• Experiment 8: OPTSIM NRZ Optical System and OSNR Spectrum Chart (added in Fall 2008)Students use OptSim to calculate the Optical Signal-to-Noise Ratio (OSNR) and optical spectralcontent of a10 Gb/s optical system with EDFA preamplifiers, mid-link amplifiers and boosteramplifiers. The 10 Gb/s NRZ optical signal is launched into 3 spans of Dispersion-Shifted singlemode fiber, each 50 Km in length. The fiber loss is recovered by 980-nm pumped EDFA beforeeach span and after the third span. The optical signal is passed through a raised-cosine filter anddetected by a
–318, 2009. [6] H. Thapliyal, S. Kotiyal, and M. B. Srinivas, “Novel BCD adder and5 11.035 58.687 41.198 96.396 carry skip BCD adder using reversible logic,” in Proc. IEEE Conf. Computer Systems and Applications, 2011, pp. 607–610. Table 3: Power Dissipation Data for BJN Gate Models – A [7] M. S. Islam et al., “Efficient approach for designing reversible logictable showing power dissipation for various BJN gate circuits. based sequential circuits,” IET Computers & Digital Techniques, vol. 3
mg is the weight of the motor, L is the length of the pendulum, c is the viscous frictioncoefficient, and T is the thrust force from the propeller. Students are then asked to use feedbacklinearization which cancels out the non-linear term in the form T mg sin u . (2)The resulting linear system has a simple transfer function with two real poles ( s) L . (3) U ( s) mL s cs 2 2Students are asked to use their knowledge
/10.55529/jaimlnn.36.23.28Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence inthe educational space. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202345106011Alsariera, Y., Baashar, Y., Alkawsi, G., Mustafa, A., Alkahtani, A., & Ali, N. (2022). Assessment andevaluation of different machine learning algorithms for predicting student performance. ComputationalIntelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/4151487Altaleb, H., Mouti, S., & Beegom, S. (2023). Enhancing college education: An AI-driven adaptivelearning platform (ALP) for customized course experiences. 2023 9th International Conference onOptimization and Applications (ICOA), 1–5. https://doi.org
, et al. (2021, Between Level Up and Game Over: A Systematic Literature Review of Gamification in Education. Sustainability 13(4).[5] L. Sardi, A. Idri, and J. L. Fernández-Alemán, "A systematic review of gamification in e-Health," Journal of Biomedical Informatics, vol. 71, pp. 31-48, 2017/07/01/ 2017.[6] K. Robson, K. Plangger, J. H. Kietzmann, I. McCarthy, and L. Pitt, "Game on: Engaging customers and employees through gamification," Business Horizons, vol. 59, pp. 29-36, 2016/01/01/ 2016.[7] A. Behl, P. Sheorey, A. Pal, A. K. V. Veetil, and S. R. Singh, "Gamification in E- Commerce: A Comprehensive Review of Literature," Journal of Electronic Commerce in Organizations (JECO), vol. 18, pp. 1-16, 2020
reviewed papers will be provided in a futurepublication.References[1] D. J. Nelson and D. C. Rogers, A national analysis of diversity in science and engineering faculties at research universities. Citeseer, 2003.[2] L. Blaney, R. Kandiah, J. J. Ducoste, J. A. Perlinger, and S. L. Bartelt-Hunt, “Trends in Population and Demographics of U.S. Environmental Engineering Students and Faculty from 2005 to 2013,” Environ. Eng. Sci., vol. 33, no. 8, pp. 578–590, 2016, doi: 10.1089/ees.2016.0063.[3] M. B. Bailey et al., “Establishing the Foundation for Future Organizational Reform and Transformation at a large private university to expand the representation of women faculty,” 2011.[4] M. Heyvaert, K. Hannes, B. Maes, and P. Onghena
intuition development, and 3) understanding how early intuitiondevelopment can help level the playing field for all students regardless of individual background,including socio-economic status, demographics, or past engineering experiences.AcknowledgementThis material is based upon the work supported by the National Science Foundation under GrantNo. 1927149 and Grant No. 1927250.References Cited[1] A. Smith, “Exploring the legitimacy of intuition as a form of nursing knowledge,” Nursing Standard, vol. 23, no. 40, pp. 35-40, 2009.[2] H. A. Simon, “Making management decisions: The role of intuition and emotion,” Academy of Management Perspectives, vol. 1, no. 1, pp. 57-64, 1987.[3] S. E. Dreyfus, and H. L. Dreyfus, A Five-Stage
from this case study suggest a need to invest inbuilding teacher confidence, knowledge, and the belief that technology-enhanced engineeringinstruction is appropriate (and necessary) at all grades in light of future educational disruptions.Funding StatementThis project was supported by Grant #1850296 awarded by the National Science FoundationInnovative Technology Experiences for Students and Teachers. The opinions, findings, andconclusions or recommendations expressed in this manuscript are those of the authors and do notnecessarily reflect those of the NSF.ReferencesAnderson, S. E., Groulx, J. G., & Maninger, R. M. (2011). Relationships among preservice teachers' technology-related abilities, beliefs, and intentions to use technology in
are being discussed with faculty teaching engineering designcourses as an opportunity for student-led design projects. Overall, the co-production model wassuccessful in identifying areas for future design innovation in pediatric healthcare.References:1. SECTION ON CARDIOLOGY AND CARDIAC SURGERY et al., “Off-Label Use ofMedical Devices in Children,” Pediatrics, vol. 139, no. 1, p. e20163439, Jan. 2017, doi:10.1542/peds.2016-3439.2. J. Kadlowec, T. Merrill, S. Sood, J. Greene Ryan, A. Attaluri, and R. Hirsh, “ClinicalImmersion and Team-Based Design: Into a Third Year,” in 2017 ASEE Annual Conference &Exposition Proceedings, Columbus, Ohio, Jun. 2017, p. 28040. doi: 10.18260/1-2--28040.3. E. P. Brennan-Pierce, S. G. Stanton, and J. A. Dunn
ofcognitive ideation. Instead, human designers must generate new objective spaces for AI to exploreand discover logical relationships between parameters that achieve the objectives. In this way, GDrequires inverse thinking from the objective space to the parameter space, while in TD, designersare required to cognitively explore the parameter space to optimize towards the objective(s).Aims and SignificanceDesign paradigms (e.g., TD / PD / GD) each require the human to carry out a unique set of tasks[1], [3], [6], [7], [9] which in turn define design thinking [8], [10], [11]. Thus, each paradigm isaccompanied by a unique design thinking concept. TD requires a designer to engage in traditionaldesign thinking (TDT), PD activates parametric design
Paper ID #36938Teaching IoT in Both Physical and Virtual EnvironmentsProf. James R. Mallory, Rochester Institute of Technology (COE)Edmund Lucas, National Technical Institute for the DeafWilliam Arnold ©American Society for Engineering Education, 2023Teaching IoT in Both Physical and Virtual EnvironmentsAuthors: Arnold, W., Fontaine, J., Griggs, S., Huff, G., Johnson, D., Linares, C., Patel, S.,Reader, J., Roman, J., Sawaqed, Y., Yadav, R., Lucas, E. & Mallory, J. National TechnicalInstitute for the Deaf / Rochester Institute of TechnologyPrimary Division: Computing and Information Technology DivisionSecondary Division: Education
NationalCenter for Education Statistics (NCES), many university students in the United States are non-traditional. Despite these challenges, non-traditional students excel because they understand thevalue of a college degree in today's job market, particularly for certain engineering disciplineswhere a degree is required. Hispanic/Latino(a) students are often non-traditional and face unique challenges andobstacles in their pursuit of their degree. Hispanics/Latino(a)s are more likely than otherdemographic groups to work while attending college [2]. The high rate of labor forceparticipation among Hispanic/Latino(a) students can be seen as an example of intersectionality[3], as it is influenced by multiple factors, including their race, ethnicity
across the five periodical databases and restricted for peer-review journal publications. The resulting publications of each search was consolidated using 2Mendeley citation manager where duplicates were removed. Following the removal ofduplicates, we reviewed the article’s title and abstracts against the following research contextinclusion criteria: (1) participants in P-12 engaged in a STEM intervention with some focus onengineering, and (2) the measured affective view(s) focused on the views of the student as itrelates to engineering not the teacher, facilitator, or educator. Lastly, we scanned the remainingarticles’’ full-text against the
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our community college NSF-REU projects is also described.The Internal Force ExampleA standard internal force problem of two blocks connected by a string over a pulley is shown inFigure 1. The tensions on either side of the pulley are not equal because the angular accelerationof the pulley is affected by the torque. The initial parameter values are: 10-kg incline-mass, 50-kg hanging-mass, pulley moment of inertia 20-kg-m-sq, pulley radius 0.3-m, coefficient of kineticfriction 0.2, and 35-degree slope angle. The system acceleration value was calculated as 1.47m/s/s. Changing the hanging-mass values or the incline-mass values would yield variousacceleration values using Newton’s law of motion. Adding random values would simulate labdata with
% NIH NASA-20% USDA R&D-25% DOD S&T-30% 2010 2011 2012 2013 2014 2015 2016*Includes EERE, OE, Fossil, Nuclear; excludes ARPA-E (regular appropriations began in FY 2011
Winning Large NSF Proposals D. Keith Roper Engineering Research Centers Program Leader Network for Computational Nanotechnology Program Leader Engineering Education and Centers Division, Engineering Directorate National Science Foundation ASEE Engineering Research Council Annual Conference Bethesda, MD Mon Mar 7 - Wed Mar 9, 2016Disclaimer: The comments in this presentation are of the author, and do not necessary reflect those ofthe National Science Foundation (NSF)Thanks to: D. Brzakovic, R. Gupta, C. Hemingway, P. Kharghonekar, S. Lim M. Molnar
2019 FYEE Conference : Penn State University , Pennsylvania Jul 28 Work in Progress: An Introduction to Computer Vision for First-Year Electrical and Computer Engineering Students Daniel T. Klawson, Nathaniel A. Ferlic, and Cheng Peng Department of Electrical and Computer Engineering, University of Maryland, College Park Abstract-- This work-in-progress paper will detail one of of machine learning, artificial intelligence, image processing,ENEE101’s newest modules, computer vision. ENEE101 is the and self-driving cars.introductory course to electrical and computer engineering (ECE)at the University of Maryland (UMD) [1] [2]. This
, write a problem statement, collect requiredinformation/data, calculate a numeric answer, and justify their solution. Informed by our pilot study, Grigg et al.’s [7] problem solving rubric, and our own experiences,we redesigned the ill-structured problem assignment used in spring 2017 and assigned it to 130 first-yearengineering students as a replacement for a 20-point exam question. The assignment required students toidentify and analyze a physical phenomenon using physics principles from the course. The module thatthis was assigned during focused on Newtown’s Laws, forces, circular motion, drag, terminal velocity,Newton’s Universal Law of Gravitation, and weightlessness. Students were given two weeks tocomplete the assignment and
in their first semester, showing around a 48% improvement in retention, or nearly 20 percentage points higher. Figure 1. Overall engineering retention rates, regardless if students took ENGR 1300 in their first semester. The years shown are the Fall cohorts of students. In Figure 1, we track first year, and second year retentionrates within the college of engineering. It should be notedthat ENGR 1300’s first cohort was Fall 2015 and was Figure 3. Second year engineering retention rates forrestricted to 72 students per section. Then, for Fall 2016, the Fall 2015 cohort considering whether students tookthe enrollment grew to 99 students per
addition of the ASA increasing thevoltages, and a distance of 7 to 9 cm from the tip of the needle spinnability of the fibers. Uniformity measurements on blankto the stationary collector plate. fiber mat (PCL/CHI = 100/0) revealed that fibers were mostly2.3 SEM Imaging and Material Characteristics deposited at the center of the collection plate and gradually Fiber morphologies and fiber diameters were analyzed by leveled off toward outer area (Figure 3).using a JOEL scanning electron microscopy. Circular punches 3.2 Mechanical Testingwere taken from the fiber mats and sputter coated with Au/Pd Representative engineering stress and engineering strainfor 30 s using
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women to engineering, with specific attention to theofferings at the University of Louisville J.B. Speed School of Engineering.IntroductionWomen and minorities have been underrepresented by alarming proportions ininstitutions of higher education in general and in science and engineering (S&E)programs in particular over the last quarter century. Although more female and minorityhigh school students have at least heard of engineering, relatively few of them have hadthe opportunity to become familiar with engineers and the work they perform. As notedin Figure 1, Bachelor's degrees awarded in S&E and non-S&E fields by sex for the yearsof 1966–2004, nationally, women earn substantially more bachelor's degrees in non-S&Efields than