online classes.Participating instructors also discussed various strategies to overcome these barriers during thefocus group setting. Our research team is currently working to also identify these strategies andtheir effectiveness in overcoming barriers to using active learning in online teaching.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant NoDUE-1821488. 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.References[1] M. Dancy, C. Henderson, &, C. Turpen, (2016). How instructors learn about and implementresearch-based instructional strategies: The
material is based upon work supported by the United States Agency forInternational Development (USAID) under Grant No. USAID-Egypt NFO:72026318RFA00002. Any opinions, findings, conclusions, or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect USAID's views.References[1] J. Yang, C. Schneller, and S. Roche, The role of higher education in promoting lifelong learning. UNESCO Institute for Lifelong Learning in Hamburg, 2015.[2] B. Karleuša, A. Deluka-Tibljaš, N. Ožanić, and S. Ilić, "The Role of Higher Education in Developing Awareness about Water Management," in 11th International Symposium on Water Management and Hydraulic Engineering-WMHE 2009, 2009.[3] S. S. Ashraf, S
librarianexperience and interest in acquiring knowledge, skills and abilities in data management [7]; anda willingness to innovate, take risks and experiment [8, 9]. On an interpersonal level, it requiresdeveloping and sustaining trusted relationships between the data or liaison/subject librarian(s)and researchers [9]. At the organizational level, the support of library administration andinstitutional prioritization of data services are critical factors [8].The depth and duration of these interactions with researchers may range from shorter-term“project-based” interactions [9], to “deep dives” into the data practices of an individual or team[10, 11], to long-term, “program-based” relationship-building and collaborations with a programor department [7].Some
conductors.By 1960, a new "light pipe" was being transformed from trivialcuriosity to an important optical device. Bundles of verythin glass fibers were being produced which were both flexibleand transparent. Thus we had a flexible light pipe thatcould look around corners and see things that were hiddenfrom view. In proposing that glass fibers had a directapplication as a fiberscope for examining interior parts ofthe body, Narinder S. Kapany (1960), also described anotheruse. Kapany stated that: It is possible to draw still thinner fibers, but they no longer act as simple light pipes. Their diameters are now comparable to the wavelength of the light, and they act as waveguides, transmit- ting energy in complex patterns that are no
ground effect 3D printed structure, showed 37%increase in the downforce and 26% reduction in the drag force. The capstone was done over 1-semester and was assessed based on progress reports submitted on bi-weekly basis, presentationby the end of the project, final report, and team work participation. Using these assessment tools,many of the ABET outcomes were met as will be shown in the paper.IntroductionAerodynamics and flow around car profile are significantly important for F1 design teams. Thefirst designs in the 1950’s were relatively sleek, despite having to compensate for the enormousengines mounted in front of the driver. Down force was a little known concept at that time, so theteams tried to rely on eliminating drag to achieve higher
equation is defined as the order of the highest derivative appearing in the equation and ODE can be of any order. A general form of a first-order ODE can be written in the form dy/dt + p(t)y + q(t) + s = 0 where p(t) and q(t) are functions of t. This equation can be rewritten as shown below d/dt(y) +y p(t) = - q(t) - s where s is zero. A classical integrating factor method can be used for solving this linear differential equation of first order. The integrating factor is e∫p dt . Euler Method Graphical methods produce plots of solutions to first order differential equations of the form y’ = f(x,y), where the derivative appears on the left side of the equation. If an initial condition of the form y(x0) = y0 is also specified, then the only solution
Behavior, Lumen, 2019, pp. 1–18.[2] P. Adler, “Work Organization: From Taylorism to Teamwork,” Perspect. Work, vol. 1, no. 1, pp. 61–65, 1997.[3] R. B. Helfgott, “America ’ s Third Industrial Revolution,” Challenge, vol. 29, no. 5, pp. 41–46, 1986.[4] S. Lund, “AI , automation , and the future of work : Implications for Engineering Deans,” 2019.[5] T. Chowdhury and H. Murzi, “Literature Review : Exploring Teamwork in Engineering Education,” in Research in Engineering Education Symposium, 2019.[6] H. G. Murzi, T. M. Chowdhury, J. Karlovšek, and B. C. Ruiz Ulloa, “Working in large teams: Measuring the impact of a teamwork model to facilitate teamwork development in engineering students working in a real
more motivated to complete multiple rotations.Future WorkFuture work is to expand this data beyond a single institution to look for other contextualinfluences on student views. This will help build better descriptions or find additional uniquegroups. Additionally, this expanded work can help identify how institutional or corporatecultures could be impacting the co-op experience.References[1] R. S. Lindenmeyer, “A comparison study of the academic progress of the cooperative and the four year student,” J. Coop. Educ., vol. 3, no. 2, pp. 8–18, 1967.[2] B. F. Blair, M. Millea, and J. Hammer, “The Impact of Cooperative Education on Academic Performance and Compensation of Engieering Majors,” J. Eng. Educ., vol. 93, no. 4, pp. 333
large response rates (i.e. not skip logic based). Thisrestricts the number of responses used for analysis as well as the ability to test the surveyinstrument’s factor structure in its entirety. This means that there may be larger underlyingthemes that we cannot pull out or important themes present in these opt in items that will beoverlooked. References[1] S. Lipson, E. Lattie, & D. Eisenberg, “Increased rates of mental health service utilization by US college students: 10-year population-level trends (2007–2017),” Psychiatric Services, vol. 70, no. 1, pp. 60-63, 2019.[2] S. Lipson & D. Eisenberg, “Mental health and academic attitudes and expectations in university
V solid-state against a conventional low-frequency distribution transformer," 2014 IEEE Energy Convers Congress and Expo (ECCE), Pittsburgh, PA, 2014, pp. 4545-4552. doi: 10.1109/ECCE.2014.6954023.[3] C. Nan and R. Ayyanar, "Dual active bridge converter with PWM control for solid state transformer application," 2013 IEEEEnergy Conversion Congress and Exposition, Denver, CO, 2013, pp.4747-4753.doi: 10.1109/ECCE.2013.6647338.[4] L. Wang, D. Zhang, Y. Wang, B. Wu, and H. S. Athab, "Power and Voltage Balance Control of a Novel Three-Phase Solid-State Transformer Using Multilevel Cascaded H-Bridge Inverters for Microgrid Applications," in IEEE Transactions on PowerElectronics, vol. 31, no. 4, pp. 3289-3301, April 2016. doi: 10.1109/TPEL
University for reviewingthis paper and providing constructive feedback.References[1] W. Zhou and X. Shi, “Culture in groups and teams: A review of three decades of research,” Int. J. Cross Cult. Manag., vol. 11, no. 1, pp. 5–34, 2011.[2] A. S. Tsui, S. Nifadkar, and A. Y. Ou, “Cross-national, cross-cultural organizational behavior research: Advances, gaps, and recommendations,” J. Manage., vol. 33, no. 3, pp. 426–478, 2007.[3] S. Wei, D. M. Ferguson, M. W. Ohland, and B. Beigpourian, “Examining the cultural influence on peer ratings of teammates between international and domestic students,” in the American Society for Engineering Education Annual Conference & Exposition, 2019.[4] J. Wang, G. H.-L. Cheng, T
. Further analysis and modeling of the data areforthcoming, and will provide details of the competencies developed among the newcomers andhow they were developed. We anticipate that articulating the competency models of professionaland technical competence developed in this learning ecology will provide a deeper understandingof what newly hired engineers learn and how they learn as they develop into their careers.References[1] R. Korte, “Learning to practice engineering in business: The experiences of newly hired engineers beginning new jobs,” in The Engineering-Business Nexus: Higher Aims or Triumphant Markets? S. Christensen, B. Delahousse, C. Didier, M. Meganck, & M. Murphy (Eds), Cham, Switzerland: Springer, 2019, pp. 341
reviewed. Review of Nodes 3 and 1 is marginal in thesense that a review is determined by the context of the current node and its assessment. Forexample, node 8 is not directly related to node 3, but is indirectly related through node 6 and nodirect review is needed. Node 1, like nodes 5 and 7, is on the edge of this knowledge domainand no assessment can be made beyond this node(s). As additional knowledge domains becomeavailable, they can be interconnected through appropriate links. Figure 5: Typical KnowNet Student Review Scenario (R - Reviewed and N = Not Reviewed)This brute force approach to an intelligence tutor assures that any missing knowledge will becovered through the search. But it is not terribly efficient as demonstrated by the shaded
the same page.”Feelings toward AmbiguityStudents also expressed their feelings towards ambiguity. Bob expressed fear and ambiguitytogether by describing his experience as “I think generally overall speaking ambiguity would belike being in the unknown. Kind of like almost fear of the unknown then like, yeah, you're notsure what you need to do or what is going to be happening.” Jon discussed how taking the wrongpath for ambiguous problem increases his anxiety, “if something is too ambiguous…I know I getalmost like anxiety if it's ambiguous and I'll never really get going or never know if I'm going inthe right direction.” Jon’s anxiety also became evident when he discussed ambiguity in theworkplace versus academia, stating that he “believe[s
, 2007.[2] L. L. Bucciarelli, Designing Engineers. Cambridge, Massachusetts: MIT Press, 1994.[3] M. T. H. Chi, S. Kang, and D. L. Yaghmourian, “Why Students Learn More From Dialogue- Than Monologue-Videos: Analyses of Peer Interactions,” J. Learn. Sci., vol. 26, no. 1, pp. 10–50, 2016.[4] M. D. Koretsky, D. Gilbuena, S. B. Nolen, G. Tierney, and S. E. Volet, “Productively Engaging Student Teams in Engineering: The Interplay between Doing and Thinking,” in IEEE Frontiers in Education Conference (FIE) Proceedings, 2014.[5] S. Michaels and C. O’Connor, “Talk Science Primer,” Terc, pp. 1–20, 2012.[6] M. R. Banaji and A. G. Greenwald, Blindspot: Hidden Biases of Good People, 1st ed
incoming first-year students are placed in. However, engineering students are oftenunderprepared in several pre-calculus topics. To assist these underprepared students, a significantpercentage of first-year students at our midsize STEM University are placed into remedial pre-calculus courses. At our institution, the percentage of first-year students placed into pre-calculusis about 35%, averaged over the past five years. This distribution has only slightly improved overthe years despite a significant increase in the average student profile in terms of SAT/ACTscores and high school GPA. Furthermore, a large number of students placed into calculus fail orwithdraw from it, automatically leading to additional semester(s). An explanation for this can
[NSB], “Science & Engineering indicators 2018 (NSB-2018-1),” National Science Foundation, Alexandria, VA. Accessed on: Aug., 20, 2019. [Online]. Available: https://www.nsf.gov/statistics/2018/nsb20181/assets/nsb20181.pdf. [3] National Academies of Sciences, Engineering, and Medicine [NASEM]. “Graduate STEM Education for the 21st Century,” The National Academies Press, Washington, DC, USA. 2018. Accessed on: Aug., 20, 2019. [Online]. Available: https://doi.org/10.17226/25038. 2018. [4] S. K. Gardner, “Contrasting the socialization experiences of doctoral students in high-and low-completing departments: A qualitative analysis of disciplinary contexts at one institution.” The Journal of Higher
, "Depoliticization and the Structure of Engineering Education," in International Perspectives on Engineering Education, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham and B. Newberry, Eds., New York, NY, USA: Springer, 2015, pp. 203-216.[7] M. Nelson, G. D. Hoople, J. A. Mejia and S. M. Lord, "Work-in-Progress: What is Energy? Examining Engineering Students' Conceptions of Energy," in Proceedings of the ASEE Annual Conference & Exposition, Montreal, QC, Canada, 22-26 June 2020.[8] G. D. Hoople, D. A. Chen, S. M. Lord, L. A. Gelles, F. Bilow and J. A. Mejia, "An Integrated Approach to Energy Education in Engineering," Sustainability, vol. 12, no. 21, 2020.[9] R. Rincon, "SWE Research Update: Women in Engineering by
the lectures, and a similar study on just a lecture type course may provide insightinto that type of class. Probably the most important future research topic is how to improvestudent learning outcomes across all modes of teaching.5. References[1] Prince, M. (2004). Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 93(3), 223-231.[2] 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 Mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.[3] Patrick, L. E., Howell, L. A., & Wischusen, W. (2016
the pilot run of the program measured so far bode well for the potential impact of the WiscAMP Excel Program on URM student success in STEM. Bibliography 1. Dweck, C. S. (2006) Mindset: The new psychology of success. New York: Ballantine Books. 2. Dweck, C. S., Legget, E. L. (1988) “A social-cognitive approach to motivation and personality”, Psychological Review 95 3. Hurtado, S., Eagan K., HERI Research Brief (2010) Degrees of Success: Bachelor’s Degree Completion Rates
Pendulum System,” IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Vol. 3, pp. 1804–1809, 2009. 2018 ASEE Mid-Atlantic Spring Conference, April 6-7, 2018 – University of the District of Columbia2 K. Lai, Jin Xiao, Xiaoguang Hu, Jianxin Fan, Bing Wu, “Modeling and Control for Stability and Rotation Velocity of a Rotary Inverted Pendulum,” 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), 2015, pp. 955–960.3 Y. Kim, S. H. Kim, and Y. K. Kwak, “Dynamic analysis of a nonholonomic two-wheeled inverted pendulum robot,” Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 44, No. 1, 2005, pp. 25– 46.4 S. Awtar, C. Bernard, N
. 28 References[i]Bennett,J.&Hogarth,S.(2009).Wouldyouwanttotalktoascientistataparty?Highschool students'attitudestoschoolscienceandtoscience.InternationalJournalofScience Education,31(14),1975–1998.[ii]Britner,S.L.(2008).Motivationinhighschoolsciencestudents:acomparisonofgender differencesinlife,physical,andearthscienceclasses.JournalofResearchinScience Teaching,45(8),955–970.[iii]Brotman,J.S.&Moore,F.M.(2008).Girlsandscience:areviewoffourthemesinthe scienceeducationliterature.JournalofResearchinScienceTeaching,45(9),971–1002.[iv]Miller,P.H.,Blessing,J.S.,&Schwarz,S.(2006).Genderdifferencesinhigh-school
. June 2016. Paper ID #16370.2. Ragusa, G., Mataric, M. (2016). “Research Experiences For Teachers: Linking Research toTeacher Practice and Student Achievement in Engineering and Computer Science,” 2016 ASEE123rd Annual Conference and Exposition. New Orleans, Louisiana. June 2016. Paper ID #17351.3. Trenor, J., Yu, S., Grant, D., Salem, H. (2009). “Participation in a Research Experience forTeachers Program: Impact on Perceptions and Efficacy to Teach Engineering,” 2009 ASEE 116thAnnual Conference and Exposition. Austin, Texas. June 2009. Paper ID #AC 2009-786.4. Klein-Gardner, S., Johnston, M., Benson, L. (2012) “Impact of RET Teacher-DevelopedCurriculum Units on Classroom Experiences for Teachers and Students,” Journal of Pre-CollegeEngineering
engineering looks like foryoung children in a family learning context and how early experiences with this topic can shapethe ongoing learning pathways of children and their parents.ReferencesAlexander, J. M., Johnson, K. E., & Leibham, M. E. (2015). Emerging individual interests related to science in young children. In K. A. Renninger, M. Nieswandt, & S. Hidi (Eds.), Interest in mathematics and science learning (pp. 261–280). Washington, DC: American Educational Research Association.Bagiati, A., & Evangelou, D. (2015). Engineering curriculum in the preschool classroom: The teacher’s experience. European Early Childhood Education Research Journal, 23(1), 112–128. https://doi.org/10.1080/1350293X
Paper ID #19796BridgeValley STEM Scholars ProgramMrs. Melissa Thompson P.E. P.E., BridgeValley Community and Technical College Melissa Thompson is an Associate Professor and the Outreach Coordinator at BridgeValley Community and Technical College located in South Charleston and Montgomery, West Virginia. She holds a Bachelor Degree in Civil Engineering from WVU Institute of Technology and a Masters Degree in Engineering from Marshall University. Melissa is a Registered Professional Engineer in the state of West Virginia. She is the Principal Investigator (PI) for the BridgeValley S-STEM Scholars Scholarship Program funded
been a cornerstone component of scientific achievement since the mid-1950’s (Burnham, 1990). Despite its tremendous post-war boom to become the de facto standardfor scientific and technical publications and the largely similar goal of providing feedback toimprove quality, peer review is still only moderately used as a pedagogical tool within the highereducation classroom. The single greatest hindrance toward utilizing peer review in the classroomis getting students to accept that it is a viable source for feedback and assessment. Ballantyne etal. (2002) undertook a study of 1,654 first- and second-year students spanning three semestersstudying four different courses. Despite continual efforts based on feedback from students andfaculty to
work was supported in part by the Ministry of Science and Technology (MOST),Taiwan, ROC, under Grant MOST 103-2511-S-224 -004 -MY3, MOST 104-2511-S-224-003-MY3, and MOST 105-2628-S-224-001-MY3.Reference 1. Torrance, E. P. (1963). Education and the creative potential. Minneapolis: University of Minnesota Press. 2. Guilford, J. P. (1950). Creativity. American Psychologist, 5(9), 444-454. doi: 10.1037/h0063487. 3. Guilford, J. P. (1967). Creativity: Yesterday, Today and Tomorrow. The Journal of Creative Behavior, 1(1), 3-14. doi: 10.1002/j.2162-6057.1967.tb00002.x.4. Mackinnon, D. W. (1965). Personality and the realization of creative potential. American
in college, but notin your major? 5. Tell me about how doing PBSL in your major has affected you personally, especially inthe way you describe yourself to others. We summarized four domains based on the interviews and transcription as follows. Due tothe page limit, we only excerpt what they said corresponding to domain 4 which gives uspreliminary data related with question 1. Domain 1: What it’s like to be in the program—relationships amongst students Domain 2: What type/s of people are like to be in the program—people types Domain 3: What type/s of people are like to be in the program—type/s of yourself Domain 4: What impacts of PBSL on you are—changes of your personality or identity Student A participated in PBSL 4
does notsolve a physical or technical task in teaching process based on her/his personal presence atthe measurement set but s/he observes the equipment, and controls and regulates it througha computer connected on the internet 3. In this way the use of the mediated teachingexperiments – remote real experiments, enables to conduct educational activities based on thestudents` individual needs 5.The use of remote real experiments in teaching process is not a new phenomenon eitherabroad or in Slovakia. However, in Slovakia this kind of experiments has not still become acommon teaching tool for science and engineering education and has not been ranked amongthe conventional ways of teaching.A main motivation leading teachers to use the remote
, techniques, skills and modern tools learned inthe discipline and by adapting emerging application of mathematics, science, engineering, andtechnology to identify, analyze and solve technical problems. (ETAC/ABET criteria 3a, 3b, and3f)College Goal(s) Supported:Goal number 1. To foster teaching and learning in a supportive environmentGoal number 5. To involve students in solving problems of importance to localindustries, government, and community organizations2. Intended Outcome:Students will be able to conduct, analyze and interpret experiments and apply experimentalresults to improve processes related to the discipline. (ETAC/ABET criteria 3c)College Goal(s) Supported:Goal number 1. To foster teaching and learning in a supportive environmentGoal