Paper ID #15181Improving a Flipped Electromechanical Energy Conversion CourseThomas E. McDermott, University of Pittsburgh Thomas E. McDermott is an Assistant Professor at the University of Pittsburgh, with over 30 years of industrial experience in consulting and software development. His research interests include electric power distribution systems, renewable energy, power electronics, electromagnetics, and circuit simulation. Tom is a registered professional engineer in Pennsylvania and an IEEE Fellow. He has a B. S. and M. Eng. in Electric Power from Rensselaer, and a Ph.D. in Electrical Engineering from Virginia
week. The topics/activities foreach week and their type classification(s) are listed in Table 1. In this table, classifications A-Cwere developed by the authors to describe teaching approaches used in the DBE course thatrange from fully deductive to a combination of deductive/ inductive; D-G are based on theinquiry classification scheme proposed in Tafoya et al.7 and expanded by Staver and Bay8; andH-L are drawn from a comprehensive review of inductive teaching approaches assembled byPrince and Felder5. In general the classifications are listed left to right in Table 1 ranging fromdeductive to increasingly self-directed, inquiry-based methods. The remainder of this section willdefine each classification in the context of the DBE course.Table 1
assessments from faculty, experiments they perform, and client corrections. Theassessments from faculty are often based on intuition and wisdom which allow them to predictwith some success the outcomes of the experiments the students perform. Regardless of thepredictions of the faculty and the students, the actual outcome of the experiments dictate nextsteps. Either the design works, or it does not. If it does not, which is most often the case, at thispoint in the semester there is little to no time for recovery. Finally, as a design comes togetherthe client(s) may provide feedback that the students did not appropriately frame the problem (i.e.the design is doing what was asked, but this is not what is needed) or that the design teammisinterpreted
countsas flexibility, while also better evaluating interventions designed to improve flexibility.References1. Yilmaz, S., Daly, S. R., Jablokow, K. W., Silk, E. M. & Rosenberg, M. N. Investigating impacts on the ideation flexibility of engineers. (2014).2. Kirton, M. J. Adaption-Innovation in the Context of Diversity and Change. (Routledge: London, UK, 2011).3. Valle, S. & Vázquez-Bustelo, D. Concurrent engineering performance: Incremental versus radical innovation. International Journal of Production Economics 119 (1), 136–148, doi:10.1016/j.ijpe.2009.02.002 (2009).4. Ettlie, J. E., Bridges, W. P. & O’Keefe, R. D. Organization strategy and structural differences for radical versus incremental innovation
, interactive activities and assignments.In summary, although there are universally favored resources, there are differencesdepending on course type and assignment category (learning concept vs.programming/software assignment). Therefore, it is important to determine and developthe most appropriate resource for the student need.AcknowledgementsThe authors acknowledge the support of this work from NSF Grant #1226325.References[1] Krause, S., Baker, D., Carberry, A., Alford, T., Ankeny, C., Brooks, B., Gibbons, B. (n.d.). The Impact of Two-way Formative Feedback and Web-enabled Resources on Student Resource Use and Performance in Materials Courses. 2015 ASEE Annual Conference and Exposition Proceedings.[2] Pego, J. (2013). Peer
technical content is necessary and that contentmust be well organized and specific. Based on this analysis (often done in a matter ofminutes), a speaker can then determine the scope, style, and organization of what s/hewants to say.Experienced communicators do this analysis and synthesis without much difficulty, movingefficiently to the appropriate oral communication act. But students are usually novices at thiskind of thinking and speaking. Moreover, engineering students may be unused to thestandards of excellence in their technical discipline and thus fall back onto older strategies,often adopted from the humanities. Because they are novices, they need to learn activelyunder the guidance of instructors who help shape student skills.The design
Development, 8(1), 22-41.3) Skaggs, P. (2010). Ethnography in product design-looking for compensatory behaviors. Journal of Management and Marketing Research, 3, 1.4) Kelley, T. (2007). The art of innovation: Lessons in creativity from IDEO, America's leading design firm. Crown Business.5) Schrage, M. (2013). Serious play: How the world's best companies simulate to innovate. Harvard Business Press.6) Cardella, M. E., Atman, C. J., Turns, J., & Adams, R. S. (2008). Students with differing design processes as freshmen: Case studies on change. International Journal of Engineering Education, 24(2), 246. 7) Lande, M., & Leifer, L. (2009). Prototyping to learn: Characterizing engineering students’ prototyping activities and
modified version of Plett et al.’s five items. In addition, we propose amodel of key factors affecting engineering graduate students’ identities as shown in Figure 1.Constructs capturing the key factors affecting engineering identity and research identity areadapted from the undergraduate science and engineering identity model (Carlone & Johnson,2007; Godwin, 2016; Hazari et al., 2010; Prybutok et al., 2016 ). Based on the identity model, weexpect that graduate students’ engineering identities will be affected by three factors: engineeringcompetence/performance, engineering interest, and recognition as an engineer by others. On theother hand, previous work on research identity does not provide a framework for measuringresearch identity
, and biology, in the commonpractice of creating microorganism by the billions even in undergraduate labs, have also movedfrom the domain of observing and explaining, into the creative domain of ‘making’. Likewise,engineers in academia as well as corporate and government labs carry out primary research,discovering the principles underlying complex artificial systems17. The line has been blurred.Nonetheless, for the typical engineer at a company and the typical scientist at a research lab,Billington’s distinction that “[s]cience is discovery[;] engineering is design” restated as“[s]cientists study the natural [while] engineers create the artificial”18 still stands in the majorityof cases.In creating the artificial, engineers design products that
socialsupport to my students, as well as enrichment and research or practical experienceopportunities. I have been the PI and Co-PI for grants received from NSF, NASA and theDepartment of Education amounting to over $5 million to develop the engineeringprogram and award CSEMS/S- STEM (Science, Technology Engineering and Math)scholarships to students at San Antonio College. An NSF discretionary grant from EngineeringEducation I obtained in 2003 allowed me to initiate the EDGE (Early Development ofGeneral Engineering) 13 a summer program, designed to attract and retain high schoolstudents into the engineering field. The program continued through 2015 with help fromDepartment of Education MSEIP funding. A majority of my mentees have participated in
power quality issues caused by a large-size DC to ACinverter connecting the DG modules to the AC grid. This curriculum implementation provides aninnovative opportunity for future engineering technology students to gain necessary up-to-datecompetencies in a smart grid environment.IntroductionThe need for a knowledgeable workforce in fast innovating next generation power griddevelopment and implementation is essential. As the baby boomers employed in the electricalpower systems fields have started to retire, there is an urgent need to recruit and graduate anincreasing number of well-educated and well-trained next generation professionals from bothAssociate degree and Bachelor ’s degree programs. The fast pace of innovations in electrical
though males rated the females’leadership competency higher comparing to the females’ ratings of males, male students stilldid not believe in the leadership ability of female students as much as females themselvesbelieve.Based on the Rowan-Kenyon et al. [19]’s study, if a female student could lead a team, itwould be useful for teams because females tend to define leading as facilitating team andhaving the responsibility toward teams. This may cause conflict with male notions ofleadership, so some instruction may be necessary to legitimize alternative approaches toleadership. In addition, the last two studies in this section proved in teams that are led bystudents, underrepresented students showed better performance. These results highlight
andrecognizable ECG profile. Briefly, during Fall, 2018, 22 sophomores, in 11 student groups, wereable to successfully perform the requested tasks with high levels of engagement, as measured bythe StRIP instrument. For the performance indicators LED Programming, ECG SignalAcquisition, Graphics, and Cardiograph Project Presentation Materials, the following studentpercentages reached Exemplary and Satisfactory levels: 100%, 100%, 100%, 45%, respectively.Thus, students reached Engineering Science Student Outcome thresholds in three of fourperformance indicators. Evaluation of Part II of the cardiograph project is discussed in muchgreater detail in [55].Social Justice Case Study DaysThe class of 2020’s presentations and discussion of Hurricane Maria were
,theresultsfromquestionnairesalreadyshowthattheprogramfavorablyimpactstheacademicskillsandattitudesoftheparticipantstowardtheirSTEMmajorsandSTEMcareers.URMparticipantsinparticularstronglyvaluethisearly‐careerresearchexperience.References[1] T.Litzinger,L.Lattuca,R.Hadgraft,W.Newstetter,“EngineeringEducationandthe DevelopmentofExpertise”,JournalofEngineeringEducation,January2011,Vol. 100,No.1,pp.123–150[2] Boyer Commission on Educating Undergraduates in the Research University. State University of New York: Stoney Brook; 1998.[3] Pender, M., Marcotte, D.E., Sto, M.R. & Maton, K.I. 2010, The STEM Pipeline: The Role of Summer Research Experience in Minority Students' Ph.D. Aspirations., Educ. Policy Anal. Arch., 18(30)[4] Slovacek, S.P., Tucker, S. and Whittinghill, J., 2008, Modeling Minority Opportunity Programs: Key Interventions and Success Indicators: Journal of Education and Human
Connections, ASEE, Ed., 2018.[2] California State University, "Student Success Dashboard," ed, 2019.[3] C. Corbett and C. Hill, Solving the equation : the variables for women's success in engineering and computing. Washington, DC: AAUW, 2015, pp. xi, 141 pages.[4] E. P. Bettinger and B. T. Long, "Do faculty serve as role models? The impact of instructor gender on female students," The American Economic Review, vol. 95, no. 2, pp. 152-157, 2005.[5] NAP, Beyond bias and barriers: Fulfilling the potential of women in academic science and engineering. National Academies Press Washington, DC, 2007.[6] P. Gallagher, S. Alestalo, S. Bhatia, A. Athanasopoulos-Zekkos, and S. Soundarajan, "Geotechnical Women Faculty
National Science Foundation (NSF) underGrant No 1745347. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF.References[1] M. K. Orr, R. K. Anderson, and M. L. Rucks, “Work in progress: Developing a procedure for identifying indicators of ‘overpersistence,’” in Proceedings of the American Society for Engineering Education Annual Conference, 2017.[2] K. M. Ehlert, M. K. Orr, and S. J. Grigg, “WIP: What’s Your Major? First-Year Engineering Students’ Confidence in Their Major Choice,” in Proceedings of the First- Year Engineering Experience Conference, 2018.[3] J. P. Byrnes, The Nature and Development of Decision
Industrial Arts Education, Pennsylvania State University OSU faculty member since 1984 Currently in the STEM education program 2013 International Technology and Engineering Educators Association Conference Co-Chair Currently Executive Director and a Past-President of the Ohio Technology and Engineering Educators AssociationLin Ding, The Ohio State University Lin Ding, Ph.D., is an associate professor in the Department of Teaching and Learning at The Ohio State University. Dr. Dingˆa C™s scholarly interests lie in discipline-based STEM education research. His work includes theoretical and empirical investigation ©American Society for Engineering Education, 2019 Work-in-Progress: The Effects of
further investigated (by interviews and by examining technical reports) for possiblereasons. Teams that dropped between surveys two and three did so for several reasons. Based onthe follow-ups, the reason for most drops were identified as arisen conflicts in the team at the timein which the surveys were administrated. Identified conflicts included: diverging ideas on system(s)integration, a lack of collaboration among one or more disciplines due to personalities, confusion16 FALL 2017ADVANCES IN ENGINEERING EDUCATIONSurvey Tools for Faculty to Quickly Assess Multidisciplinary Team Dynamicsin Capstone Courseson the direction to proceed that will produce
/10.5339/qproc.2014.wcee2013.4. Bishop, L.M., Tillman, A.S., Geiger, F.M., Haynes, C.L., Klaper, R.D., Murphy, C.J., Orr, G., Pedersen, J.A., DeStefano, L.,and Hamers, R.J. 2014. “Enhancing graduate student communication to general audiences through blogging aboutnanotechnology and sustainability.” Journal of Chemical Education 19: 1600–1605. Bennet, S., Maton, K., Kervin, L. 2008. “The ‘digital natives’ debate: A critical review of the evidence.” British Journalof Educational Technology 39: 775–786.14 FALL 2017ADVANCES IN ENGINEERING EDUCATIONUpdating Assessment Styles: Website Development Rather Than ReportWriting for
cousin that's went to, uh. She, she's just been older than me and I was asking her like what was gonna be required of me in college and stuff and like, s-s-simple things like that. But then I would also ask my aunts and uncles because they have close ties to [Four-Year Institution] so I was […] already sure that I was going to [Four-Year Institution]. – CalebAnother example of this shown when Robin, a participant from a four-year institution focusgroup, is discussing her great-aunt. Robin mentions how this relative influenced her to go tocollege and encouraged her to do well in school. My great-aunt [is] amazing. Uh, she um, was a really big influence on me coming to [public university] because this is
testscores.4-10 Flipped classroom strategies often employ active learning exercises, which Felder andBrent (2009) define as, “anything course-related that all students in a class session are calledupon to do other than simply watching, listening and taking notes.”11 Active learning exerciseshave been shown to boost academic performance; Freeman et al.’s (2014) meta-analysis of 225studies on active learning in STEM courses found that performance on concept inventories,exams, and passing rates generally improved in classrooms employing active learningstrategies.12A flipped classroom strategy is not guaranteed to result in improved academic outcomes. Someflipped classroom experiments show no significant gains between a section employing a
were added to capture additional detail as to the students’ perception of their abilities. These questions included: 1. WHY do engineers need to be proficient at communicating through writing, orally, and graphically? 2. What skill(s) do you think you need to work on most and WHY?Results and DiscussionsQuantitative ResultsThe quantitative results are summarized in Table 2 for better comparison. The results of thesurvey, regardless of the type of the communication, show a meaningful positive change in thelevel of the students’ confidence in each category at the end of the semester, with the largestchange belonging to the graphical communication. In addition, we carried out a paired t-test onthe average of
skills, as the adopted hands-on pedagogy facilitates theutilization of skills and abilities. The resulting changes in the course delivery is captured usingthe ECP module instructional design form which captures the purpose of the module,instructional process to be adopted, formative/summative assessment, differentiated instructionand instructor reflection. Table 1 illustrates the process that was used during the curriculumdevelopment process to ensure the electrical engineering team developing the circuit to supportthe experiment understood the interaction with the content expert (user) and the assessment team.The module(s) developed for each course is outlined below.Biology: The module developed for the Biology 101 course in the pilot phase was
advantage of rapid feedback while preventing the useof solution manuals and copying. This approach will be explored in future work.7. AcknowledgmentsThis work was supported by the National Science Foundation through the ImprovingUndergraduate STEM Education and Transforming Undergraduate Education in Science,Technology, Engineering and Mathematics Programs under Grant Nos. 1821628, 1044497, and1323773. We thank J. Aberle, G. Abousleman, M. Ardakani, J. Blain Christen, S.Chickamenahalli, S. Dahal, A. Ewaisha, R. Ferzli, G. Formicone, S. Goodnick, R. Gorur, O.Hartin, S. Jayasuriya, G. Karady, R. Kiehl, H. Mao, B. Matar, A. Maurer, D. Meldrum, B.Moraffah, C.-Z. Ning, S. Ozev, L. Sankar, A. Shafique, W. Shi, D. Shin, M. Tao, C.Tepedelenlioglu, T
will go unreported. At this point, bad actors would be able tophysically traverse the home without fear of being recorded.Although the features offered by the Google Nest Hub Max are highly utilitarian, some featurescould pose serious threats once compromised. In regard to the broadcast function of the GoogleHome app, an intruder can trigger the devices in the house and gain control over them remotely.Consider another scenario where using the Google Home app to record reminders, could bedetrimental. In this case, the intruders can gain access to personal information, such as routineschedules of the person(s) in the house, without much difficulty. A similar scenario is thecapability of the Google Home application to set-up the hub for all the
ofconnectedness and belonging is very a challenging task, and that perhaps ten survey questions are not enoughto do that. The research team would like explore this further by conducting a more rigorous research studythat involves improved survey instruments, qualitative essay questions, and focus groups. Moreover, theresearchers conclude that although a short activity or intervention in a course might positively impact senseof belonging, it is essential to think more broadly and deeply as to how to positively impact sense ofbelonging for our students. Works Cited [1] Hurtado, S., & Carter, D. F. (1997). Effects of College Transition and Perceptions of the Campus Racial Climate on Latino College Students’ Sense of Belonging. American
Paper ID #28319Microprocessor Design LearningMr. Dominic Zucchini, Missouri University of Science and Technology Dominic Zucchini is senior in at the S&T Cooperative Engineering program in Springfield. He is studying for his degree major in Electrical Engineering and minor in Computer Engineering. He has taken all courses in computer engineering available in the cooperative program and is now exploring curriculum outside of the classroom through research projects such as the WIMPAVR. His research interests include embedded system programming and ASIC design.Mr. Justin Chau, Missouri University of Science and Technology
increases culturalcompetence and creates a graduate experience that enhances the success of diverse andinclusive graduates and future faculty: A variety of initiatives have been identified to addressdepartment concerns: (1) Develop a mentor-mentee work/communication styles learning moduleinto the graduate program core course required for all new graduate students, (2) Host aworkshop on how to write and evaluate a job application diversity statement that will trainfaculty and graduate students, (3) Develop a peer mentoring program for graduate students, and(4) Provide conference travel funds for graduate student(s) and/or faculty member(s) toparticipant in a conference URM program/event, (4) To revisit the doctoral qualifyingexamination in
study, but will be explored in the future.References [1] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K. Norman, How Learning Works. Jossey-Bass, 2010. [2] A. Wigfield and J. S. Eccles, “Expectancy-value theory of achievement motivation,” Contemporary Educational Psychology, vol. 25, no. 1, pp. 68–81, 2000. [3] P. R. Pintrich, “Multiple goals, multiple pathways: The role of goal orientation in learning and achievement,” Journal of Educational Psychology, vol. 92, no. 3, pp. 544–555, 2000. [4] C. A. Wolters, S. L. Yu, and P. R. Pintrich, “The relation between goal orientation and students’ motivational beliefs and self-regulated learning,” Learning and Individual Differences, vol. 8, no. 3, pp. 211–238, 1996
, and experience with computer simulation and video games in general. The survey was collected before the assignment at the start of the semester. 2. Reduced Instructional Materials Motivation Scale (RIMMS): This instrument is a 12-item questionnaire to assess the level of student motivation. Motivation is measured by four factors: attention (A), relevance (R), confidence (C), and satisfaction (S). Each factor has 3 items in the questionnaire [30]. This questionnaire was collected immediately after finishing Figure 2: A logic of the simulation model of the park with food stand the assignment. The assignment was completed in eleven days. Both groups complete the RIMMS questionnaire. 3. Knowledge test