has described how concept mapping was implemented to promote active learning inEngineering Dynamics. The results of the questionnaire survey show that overall, conceptmapping had a positive impact on student learning. The future work will focus on the study ofhow concept mapping affects students’ long-term knowledge retention.AcknowledgementsThis material is based upon work supported by the National Science Foundation under grant No.1244700.References[1] M. E. Serna, O. S. Bachiller and A. A. Serna, “Knowledge meaning and management in requirements engineering,” International Journal of Information Management, vol. 37, pp. 155-161, Jun. 2017.[2] C. McMahon, A. Lowe and S. Culley, “Knowledge management in engineering design
in integration of 3-Dprinting with renewable energy systems”.In this paper, strategies were developed where students integrate technology—3Dprinting and wind tunnel instrumentation—to learn key aerodynamics principles andrelated energy components in a thermal and fluid systems course and studentperformance with regards to augmented instruction was compared to non-augmentedinstruction.NomenclatureLs Lift force (N)ρ Density of air (kg/m3)U Wind velocity (m/s)d Airfoil chord length for airfoilCLA Non-dimensional lift coefficient per angle of attack𝑑𝑙 Incremental length of the blade (m)Model and Method U Figure 1: Airfoil
the late 1980’s through early 1990’s. Many of the programs he instituted via external funding are still part of that office. He was the co-PI on the successful, long-term Operation Chemistry literacy program for all levels of teachers, and parlayed that national program into grant-funded summer and year-round workshops in Wisconsin, Nebraska, and North Carolina over a 15- year period. During his 7-year tenure at Northern Illinois University (NIU), Kelter worked extensively with middle school teachers in high-Latino population communities in the service of science education. He has been at the forefront of science literacy for postsecondary students via three major chemistry textbooks, aimed at the first-year
, Portland,Oregon. https://peer.asee.org/15336[6] Ezzell, S., & Gordy, P. (2004, June), Energizing Your Engineering Program ThroughCompetitions And Team Based Projects Paper presented at 2004 Annual Conference, Salt LakeCity, Utah. https://peer.asee.org/13973[7] Lumsdaine, E., & Loukus, J., & Dreyer, J., & Chenoweth, S., & Lumsdaine, M. (2009, June),Forming And Managing Project Teams In A Large Capstone Design Course Paper presented at2009 Annual Conference & Exposition, Austin, Texas. https://peer.asee.org/4892[8] Harding, T. (2007, June), Benefits And Struggles Of Using Large Team Projects In CapstoneCourses Paper presented at 2007 Annual Conference & Exposition, Honolulu, Hawaii.https://peer.asee.org/3009[9] Underwood
of liquid at the nozzle port is calculated asfollows: 𝑝 𝜌𝑔ℎ (2) where ph = hydrostatic pressure (Pa, N/m2, or kg/m-s2) ρ = liquid density (kg/m3) g = acceleration of gravity = 9.81 m/s2 h = height of the liquid column (m)For this lab, multiple fluid heights are tested. The liquid flow rate through an orifice can becalculated as follows: 𝑞actual 𝐶 𝐴 𝑝 𝑝 (3) where qactual = actual liquid flow rate (m3/s) A2 = area of the port (m3) gc = conversion factor = 1.0 kg-m/N-s2
Temperature Shape Factor for Plane Shape Factor for Pressure 𝐹𝑑 - 𝐹𝑝 - Couette Flow Flow H Channel Depth m k Thermal Conductivity W/m2K Thermal Conductivity of Thermal Conductivity of 𝑘𝑃𝐸𝑇 W/m2K 𝑘𝑆𝑇 W/m2K PET Steel L Length m 𝐿𝑓 Latent Heat of Fusion kJ/kg 𝑚̇ Mass Flow Rate kg/s N Revolution Rate
: 1. Include descriptions of the cultural context 2. “[A]ttend to the embodied nature of the protagonist” [39, p.17] 3. Consider how other people affect the central character 4. Identity choices and actions of the central character 5. Attend to past experiences and how they impact the choices and actions 6. Create a story with a beginning, middle, and end 7. The plot should bring all the data together into a meaningful story that explains why the central character acted the way s/he didQuality ConsiderationsThis project will be monitored by an external review board and an internal framework.Internally, we will use the Q3 framework outlined by Walther et al. [41] and Walther
#1936through NSF/CNS grant. The views and conclusions contained herein are those of the authorsand should not be interpreted as necessarily representing the official policies, either expressed orimplied of NSF.References[1] Berman, M., Chase, J. S., Landweber, L., Nakao, A., Ott, M., Raychaudhuri, D., Ricci, R., and Seskar, I. (2014). GENI: A federated testbed for innovative network experiments. Computer Networks, 61:5–23.[2] Riga, N., Edwards, S., and Thomas, V. (2016). The Experimenter’s View of GENI, pages 349–379. In: McGeer R., Berman M., Elliott C., Ricci R. (eds) The GENI Book. Springer, Cham .[3] Thomas, V., Riga, N., Edwards, S., Fund, F., and Korakis, T. (2016). GENI in the classroom. In the GENI Book, pages 433–449. Springer.[4
], [14], [18], [19].Need for a STEM Observation ProtocolIn addition to the challenge of defining STEM education, there have been challenges in assessingintegrated STEM instruction in K-12 classrooms. Given the rapid development of both K-12engineering and integrated STEM, it is critical that researchers have access to valid and reliableinstruments to determine the efficacy of different teaching and curricular approaches related toboth teacher effectiveness and student learning. The lack of a protocol designed specifically forsuch teaching will lead to reliance on the use of teacher self-report data or the use of protocolsthat measure “just good” teaching without consideration of the nature of the discipline(s) beingtaught. Existing instruments
as shown in Figure 1below. This guided instructional effort for subsequent labs and in-class sessions in the course.At the end of the quarter, mastery of these standards within this course will be shared withCapstone instructors to inform their coaching as these are skills fundamental to the Capstonedesign process.Assessment of Incoming Related SkillsUntil mastery-based grading has been implemented throughout the sequence, quizzes based onthe relevant LO of the previous course(s) will be administered to tailor instruction in the absenceof SBG data from the previous courses. A statistics concept quiz has been administered withconcepts relevant to the experimental design course. Results show overall mastery in selection ofappropriate
perspectives and cross-cultural skills such as the InterculturalDevelopment Inventory (IDI) [8], Miville Guzman Universality Diversity Scale (MGUD-S) [9],and the Engineering Global Preparedness Index (EGPI) [10]. The global perspectives ofengineering students in this study was measured via the Global Perspective Inventory (GPI) [11].This instrument was used because it closely aligns with global perspective constructs the studyaims to measure. The GPI is also a validated instrument and widely used for a basis forcomparison against non-engineers. Additionally, a number of studies have used the GPI toexamine the impact of study abroad experiences with consistent results and strong statisticalreliability and validity [11, 12, 13]. Given the expansion of
responsibilities for the design challengeInstructional Design Agents RoleWhat is the role of an instructional design agent? The instructional design agent’s role can bedefined as the set of responsibilities and activities that fall within an agent’s intended purpose,which when viewed holistically, demarcate its position or part to play within the designchallenge.In light of this definition, we turn to three points of consideration needed to develop this role:what design intelligence will the agent(s) embody, what specific types of roles will the designagent(s) assume and how many design agents should be employed.We discuss the design intelligence agents embody first, as this has implications for the
less mechanics concepts involvedwith cross sections while ENGT Strength of Materials course has mainly 2D orthogonal views ofstructural cross sections, thereby losing all depth cues associated with the 3D structures. Thisfinding is contradictory to the result from a previous study carried out by the same author(s)[1].The previous study found a significant positive correlation (ρ = 0.552 at p = 0.01) between SBSTscores of mechanical engineering students and their performance in the Mechanics of Materials(MOM) course. It is noted that the engineering students’ performances in MOM in the previousstudy was measured by using the MOM concept inventory [22], a survey consisting of 23conceptual understanding questions, not the final course grades as
group as a senior engineer, and later brought his real-world expertise back into the classroom at Purdue University Calumet. He is currently a Clinical Associate Professor at the University of Illinois at Chicago where he enjoys success in teaching and education research.Prof. Jeremiah Abiade c American Society for Engineering Education, 2019 Execution Details and Assessment Results of a Summer Bridge Program for First-year Engineering StudentsAbstractThis paper reports the execution details and the summary assessment of a Summer Bridge Program(SBP) that is a part of an ongoing National Science Foundation (NSF) Scholarships in Science,Technology, Engineering, and Math (S-STEM
planned.AcknowledgementsThis work was performed with support from the U.S. National Science Foundation (award #1757659).References[1] K. Evans and F. Reeder, A Human Capital Crisis in Cybersecurity: Technical Proficiency Matters. Washington, DC: Center for Strategic & International Studies, 2010.[2] Cyber Seek, “Cybersecurity Supply/Demand Heat Map,” Cyber Seek Website, 2019. [Online]. Available: https://www.cyberseek.org/heatmap.html. [Accessed: 03-Feb-2019].[3] J. Mirkovic, A. Tabor, S. Woo, and P. Pusey, “Engaging Novices in Cybersecurity Competitions: A Vision and Lessons Learned at {ACM} Tapia 2015.” 2015.[4] R. S. Cheung, J. P. Cohen, H. Z. Lo, F. Elia, and V. Carrillo-Marquez, “Effectiveness of Cybersecurity Competitions,” in
Paper ID #25415Faculty Embrace Collaborative Learning Techniques: Sustaining Pedagogi-cal ChangeMrs. Teresa Lee Tinnell, University of Louisville Terri Tinnell is a Curriculum and Instruction PhD student and Graduate Research Assistant at the Univer- sity of Louisville. Her research interests include interdisciplinary faculty development, STEM identity, and retention of engineering students through career.Dr. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD
quickassessment of student engineering identity and promote understanding of the relationshipbetween student engineering identity and persistence in engineering. The brief quantitativemeasure of engineering identity used in this study has the potential to be utilized in programs andinterventions developed to improve retention rates in engineering programs, especially in thosewith larger numbers of participants. The findings presented are part of a larger project supportedby the NSF under Grant No. 1504741.References[1] S. Olson and D. G. Riordan, "Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics," Executive Office of the President, President’s Council of
Faculty Award for Excellence in Service-Learning. Dr. Vernaza does research in engineering education (active learning techniques) and high-strain deformation of materials. She is currently the PI of an NSF S-STEM.Dr. Saeed Tiari, Gannon UniversityDr. Scott Steinbrink, Gannon University Dr. Scott Steinbrink is an associate professor of Mechanical Engineering.Dr. Lin Zhao, Gannon University Lin Zhao received the Ph.D. degree in electrical engineering from the University of Western Ontario, London, ON, Canada in 2006. She received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, in 1993 and 1996 respectively. From 1996 to 2002, she was a Faculty Member with the School of
. This project focuses on the National Society of Black Engineers (NSBE)'s SummerEngineering Experiences for Kids (SEEK) program. This multi-partner project allows us toexpand and strengthen the experience, conduct research on the impact of the program, andconduct research on how such outreach programs might grow in sustainable manners. Our posterwill present a summary of the large-scale data collection that occurred during the summer of2018 at all 16 sites located across the US. We administered a variety of instruments to identifychanges in the children's STEM-related outcomes over the course of the SEEK experience. Tofurther operationalize the variation in organizational contexts across sites, we collected data fromparents and mentors. In the
thesedistinctions, we can transition students back to traditional representations after their conceptualknowledge is robust enough to guide them. Our themes of perceptually similar concepts,perceptually obscure concepts, and informationally incomplete representations suggest clearavenues for investigating what types of perceptual cues may hinder students’ ability to developor use appropriate conceptual knowledge. As engineers, we can use this knowledge to potentiallydesign new notations or new pedagogical techniques that can help students recognize andovercome the ways our notation may currently be failing to help students learn.References [1] S. Carey, “Knowledge acquisition: Enrichment or conceptual change?,” in The epigenesis of mind., S. Carey and
: http://www.dtic.mil2. Abyad, A. (2011). Intercultural leadership and communication in global business. Middle East Journal of Business, 6(2), p. 8-12. http://dx.doi.org/10.5742/mejb.2011.620263. Ali, S., & Green, P. (2012). Effective information technology (IT) governance mechanisms: An IT outsourcing perspective. Information Systems Frontiers, 14(2), 179-193. http://dx.doi.org/10.1007/s10796-009-9183-y.4. Al-Rodhan, N. R. F. (2006). Definitions of globalization: A comprehensive overview and a proposed definition. GCSP. P. 1-21. Retrieved January, 25, 2014 from www.sustainablehistory.com/articles/definitions-of- globalization.pdf5. AME Info.com (2012). The Ultimate Middle East business resource. Retrieved from
. She researches STEM learning with a focus on math learning and spatial representations. Ms. Bego is also assisting the Engineering Fundamentals Department in the Speed School in performing student retention research. She is particularly interested in interventions and teaching methods that allevi- ate working memory constraints and increase both learning retention and student retention in engineering. Ms. Bego is also a registered professional mechanical engineer in New York State.Dr. Patricia A. Ralston, University of Louisville Dr. Patricia A. S. Ralston is Professor and Chair of the Department of Engineering Fundamentals at the University of Louisville. She received her B.S., MEng, and PhD degrees in chemical
Rater 4 -0.91 -0.99 -1 -1.17 -1.25 -1.26 -1.43 -1.41 -1.46 -1.5 -1.51 -1.54 -1.71 -1.76 -1.82 -2 -2.01 -2.06 -2.5Figure 6. Calculation of the range of rater severity from FACET parameter estimationFurther diagnosis revealed some of the overarching areas of disagreement. For example, Table 2reveals statistically significant bias regarding how Rater 5 scored the first PROCESS item,“Identify the Problem,” and Rater 3’s rating of the second item, “Represent the problem.” Thescores the
. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Dr. Ebony Omotola McGee, Vanderbilt University Ebony McGee, associate professor of diversity and STEM education at Vanderbilt Universityˆa C™s Peabody College, investigates what it means to be racially marginalized in the context of learning and achieving in STEM higher education and industry. In partic ©American Society for Engineering Education, 2019 Development of the Persistence of Engineers in the Academy Survey (PEAS)AbstractThis paper reports the
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literacy / philosophy of engineering can lead to a society fallingprey to unfounded fears and over-reaction resulting in an inability to truly understand and assessthe important technological issues and attendant decision processes to the detriment of thatsociety’s well-being [6], [7].As educators, what should our next action(s) be regarding technological literacy / philosophy ofengineering [8]? From a bibliography [9] of technological literacy / philosophy of engineeringresources, we have a pedagogy (158 papers and references), a history and definitions (8 papersand references), and theory, studies, and data (37 papers and references). But, we have only 7papers and resources on the “Why?” (Figure 1), the piece essential to move the discussion
- Permittivity and Permeability are(a) Rational number (b) integer number (c) Complex number (d) irrational number9. When electromagnetic wave passes through a medium(a) All energy is reflected, (b) All energy is absorbed, (c) Some energy is absorbed, and some ispassed through, (c) Some energy is reflected, some is absorbed and some is passed through10. Reflected or transmitted wave is a complex number(a) True (b) False11. Speed of electromagnetic wave (3x108 m/s) is(a) 3x109 mm/s, (b) 3x1010 mm/s, (c) 3x1011 mm/s, (d) 3x1012 mm/s12. Rectangular form 4-j3 can be expressed in one of following polar forms(a) 5<36.870 (b) 5
speakers in Chinese andEnglish, to better understand the effects of foreign language on ethical judgments. Finally, asmentioned above, this survey will be re-administered to participants on a yearly basis for the nextthree years, to check the reliability of the MFQ and the effects of education on the normativeperspectives described here.References[1] S. Canaves, “Shanghai building collapses, nearly intact,” Wall Street Journal, 29-Jun-2009. [Online]. Available: https://blogs.wsj.com/chinarealtime/2009/06/29/shanghai-building- collapses-nearly-intact/. [Accessed: 13-Apr-2018].[2] J. Berlinger, “22 killed in China building collapse,” CNN, 11-Oct-2016.[3] “China bullet train crash ‘caused by design flaws,’” BBC, 28-Dec-2011
al. Knowledge Management in 2004 Ireland 14 behaviors of students Leckie et al.'s[44] Project-Based Learning studying to become (PBL*) Engineering Teams professionals. Modifying the Quality Function Deployment (QFD) engineeringLeachman