the operationalization of LMMI in thecontext of EML which will inform future curriculum development, particularly for large first-year engineering design and project-based learning courses.References[1] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorensen, “A review of literature on teaching engineering design through project-oriented capstone courses,” J. Eng. Educ., vol. 86, no. 1, pp. 17–28, 1997.[2] D. Clive et al., “Engineering design thinking, teaching, and learning,” J. Eng. Educ., no. January, pp. 103–120, 2005.[3] C. Charyton and J. A. Merrill, “Assessing general creativity and creative engineering design in first year engineering students,” J. Eng. Educ., vol. 98, no. 2, pp. 145–156, 2009.[4
rates, More than Once 10.5%and course evaluation responses. The historical context of Course Evaluation Responsesthe course content and student engagement are presented in m 3.30the next section, followed by a discussion of the Question 12 s 2.06development and implementation of the problem-based m 3.50 Question 13course content
Page 14.632.10Figure 10. Filtered signal in the frequency domain.n= 128;subplot(2,1,1);plot(t(1:n),x( 1:n));grid on; axis([0 8e-3 -3 3]);xlabel('time(s)');ylabel('Amplitude ');title('Original and Filtered Signal ');subplot(2,1,2);plot(t(1:n),y(1:n));grid on; axis([0 8e-3 -3 3]);xlabel('times(s)');ylabel('Amplitude '); Original and Filtered Signal 3 2 1 Amplitude 0 -1 -2 -3 0 1 2 3 4 5 6 7 8 time(s) -3
(two prospective freshmen females, two freshman minority student, one juniorminority student, and one sophomore). The duration of the study was eight weeks. A rubric forresearch notebooks was developed and discussed. The rubric has a potential for usage as aneffective tool to map creativity instances during team activities in a research project on design.Acknowledgement The first author would like to acknowledge the grant from the ?? program at ?? University. Page 14.1304.4Bibliography1. Ekwaro-Osire S, Orono PO, "Design notebooks as indicators of student participation in team activities," in Proceedings of 2007 Frontiers in Education
AC 2009-389: DEVELOPMENT OF A SOLID MODELING COURSE FORELECTRICAL AND COMPUTER ENGINEERING TECHNOLOGY (ECET)STUDENTSFredrick Nitterright, Pennsylvania State University, Erie Mr. Fred Nitterright is a lecturer in engineering at Penn State Erie, The Behrend College. He received the A. A. S. in Mechanical Drafting and Design in 1989 from Westmoreland County Community College, the B. S. in Mechanical Engineering Technology in 1991 from Penn State Erie, The Behrend College, and the M. S. in Manufacturing Systems Engineering from the University of Pittsburgh in 1998. Mr. Nitterright is a senior member of the Society of Manufacturing Engineers (SME), and a member of the American Society for
President?s Council on Multicultural Affairs and the Tilford Group at Kansas State University at Manhattan. Beverlee is known for her presentations on Practical Humanities.Saeed Khan, Kansas State University-Salina SAEED KHAN is an Associate Professor with the Electronic and Computer Engineering Technology program at Kansas State University at Salina. Dr. Khan received his Ph.D. and M.S. degrees in Electrical Engineering from the University of Connecticut, in 1989 and 1994 respectively. He received his B.S. in Electrical Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh in 1984. Khan, who joined KSU in 1998, teaches courses in telecommunications and digital
into any meaningful parts.In contrast, the words trees, eating seem to be made up of two parts: the word tree, eat plusan additional element, -s (the ‘plural’) or –ing (the ‘past o present participe’). In the sameway our intuition tells us that the chemical word Fe can not be broken down into anymeaningful parts. In contrast, the word Fe(s) seems to be made up of two parts: the word Feplus an additional element (s), wich indicates the solid state of aggregation.Inflectional versus derivative morphemes‘Tree’, ‘eat’ and ‘Fe’ are called free morphemes; while ‘–s’, ‘-ing’ and ‘(s)’ are calledbound morphemes. Two or more morphemes in combination give a complex morpheme (acomplex word).Bound morphemes can be inflectional morphemes as in the above
interestedreader can download a sample lesson outline and associated PowerPoint slides.IntroductionFor the purpose of this paper, timing jitter is defined as “the phenomenon seen when a digitalwaveform’s transition appears before or after the expected time.”1 When jitter displaces thesignal’s transition so much that it happens in an adjacent clock cycle, the result is a data error onthe bus. Because of the high speeds and compact designs of today’s systems, jitter that used tobe negligible is now very significant, and can prevent a system from working correctly.1Today’s designers need the ability to analyze jitter, trace its root cause(s), and mitigate oreliminate the cause(s).In order to effectively analyze jitter, one must understand its nature, the
.[4] K. Charmaz, Constructing grounded theory. London: SAGE, 2014.[5] S. R. Komives, J. E. Owen, S. D. Longerbeam, F. C. Mainella, and L. Osteen, “Developing a Leadership Identity: A Grounded Theory,” Journal of College Student Development, vol. 46, no. 6, pp. 593–611, 2005.[6] S. R. Komives, S. D. Longerbeam, J. E. Owen, F. C. Mainella, and L. Osteen, “A Leadership Identity Development Model: Applications from a Grounded Theory,” Journal of College Student Development, vol. 47, no. 4, pp. 401–418, 2006.[7] S. R. Komives, S. D. Longerbeam, F. Mainella, L. Osteen, J. E. Owen, and W. Wagner, “Leadership Identity Development,” Journal of Leadership Education, vol. 8, no. 1, pp. 11– 47, Jan. 2009.[8] P. Kirkbride
. This individual treatment of engineering competencies was also reflected in thetreatment of the ABET learning outcomes at the onset of their accreditation changes to outcomes-basedassessment. For example, in an unpublished review of the Journal of Engineering Education from2006-2011 conducted by the first author to explore publications on the teaching and assessing of theengineering ‘professional skills’ (e.g., teamwork, communication skills, ethics, professionalism, andlifelong learning) in response to Shuman et al.’s 2005 article3, 11 out of the 12 articles that met thecriteria focused exclusively on one or two student outcomes4-15. During this time period, there were noarticles published in this journal that considered the conceptual or
which the research question(s) is narrow and specific, the objective in ascoping review is to summarize and synthesize the existing literature without using formal qualityassessment in the inclusion or exclusion criteria [5-8]. That is, the perceived quality of the literaturehas no weight on its appearance in a final scoping review although both types have inclusion andexclusion criteria. ScLRs assist to identify gaps in literature as well as direct researchers towardsspecific questions for a systematic literature review by rapidly mapping the key concepts, sources,and existing evidence [5-6]. Most ScLRs do not have formal appraisal mechanisms (ratings usedto assign merit to determine inclusion or exclusion) for the literature being reported in
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
. (2012). Design thinking research: Measuring performance in context. Heidelberg, NY: Springer.4. Carberry, A. R., Lee, H.-S., & Ohland, M. W. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71-79.5. Warner, S. A., & Gemmill, P. R. (Eds.). (2011). Creativity and design in technology & engineering education (Vol. 60). Reston, VA: Council on Technology Teacher Education.6. Munce, R., & Fraser, E. (2013). Where are the stem students? Retrieved October 7, 2014, from http://www.stemconnector.org7. Sadler, P. M., Sonnert, G., Hazari, Z., & Tai, R. (2012). Stability and volatility of stem career interest in high school: A gender study. Science
GRIT with retention-to-graduation with the correlation of admissions variables to retention-to-graduation. Admissions variables were originally selected because they predict retention; the study will examine whether GRIT is more, less or additionally predictive of student success.Introduction“Let me tell you the secret that has led to my goals. My strength lies solely in my tenacity.”Louis PasteurThe Grit Scale was developed by Dr. Angela Duckworth in 20071 to measure the personalitytraits of perseverance and passion for long-term goals. In Duckworth 20092 The Short Grit Scale(Grit–S) was shown to have internal consistency, validity and improved psychometric properties.Various studies have associated GRIT, as measured by the Grit-S scale, with
higher education for ways to use data for improving teaching andlearning, new fields such as educational data mining and learning analytics have emerged. Thesefields can support the development of engineering-specific theories of learning and thecharacterization of different aspects of learning processes at the level of individuals, groups, andinstitutions.References:1. Madhavan, K. and Lindsay, E.D. (2014). Use of information technology in engineering education. In Johri, Aditya, and Barbara M. Olds, eds. Cambridge handbook of engineering education research. Cambridge University Press.2. Johnson, L., Adams Becker, S., Estrada, V., Freeman, A. (2014). NMC Horizon Report: 2014 Higher Education Edition. Austin, Texas: The New Media
of the sensor moddule, which includes com mmonly useddsensors such s as RTDDs, thermistorrs, thermoco ouples, opticcal sensors (ooptical interrrupter andreflector)), and proxim mity sensors. Figures 1 and a 2 show tthe Portable PLC Kit witth the basic andsensor modules. m nd Photo of Portable Figure 1. Diagram an P PL LC Kit Layouut (Basic Moodule). Figure F 2. Dia agram and Photo P of Porrtable PLC K Kit Layout (w
, exam content, and alsothe results of the formative assessment. If an educator perceives a course to be very difficult, s/hemay allow students to use cheat-sheet. However, these factors are all subjective, and depend onthe educator. It is therefore, not surprising that no consensus exists among educators on the mosteffective type of exams1.From students’ perspective, open-book-open-notes exam is preferred to closed book exams2 dueto decreased test anxiety1 that comes with the former. Most students believe that take-homeexam, cheat-sheets, and open-book-open-notes exams help to increase exam scores and decreasetest anxiety1. Some students also complain that take home exams are time consuming, due to thenature of exam questions. Take home exams
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
)Cyber-Physical Systems (CPS) andSmart & Connected Communities (S&CC)CPS: Core system science for complex S&CC: Scientific/engineering andcyber-physical systems upon which socio-technical knowledge to improvepeople can depend with high confidence. quality of life within communities. Application Sectors Smart & Connected Communities Aeronautics Manufacturing
efforts, especially if they are untenured.References[1] M. Davis, “Engineering as profession: Some methodological problems in its study,” in Engineering identities, epistemologies, and values, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham and B. Newberry (Eds)., Springer, 2015, pp. 65–98.[2] J. R. Lohmann and J. E. Froyd, “Chronological and ontological development of engineering education as a field of scientific inquiry,” in Cambridge handbook of engineering education research, A. Johri and B. M. Olds, (Eds). Cambridge, MA: Cambridge University Press, 2010, pp. 283–309.[3] S. M. Lord, E. J. Berger, N. N. Kellam, E. L. Ingram, D. M. Riley, D. T. Rover, N. Salzman, and J. D. Sweeney
conference on Learning@ scaleconference, March, 2014, pp. 41-50.[5] M. K. Ardebili and A.M. Sadegh, A New Approach to Teaching Engineering Graphics UsingActive Learning and Product Realization, American Society for Engineering Education AnnualConference & Exposition, Salt Lake City, Utah, June 20-23, pp. 9.76.1-9.76.7, 2004.[6] G. Baronio, B. Motyl, P. Diego, “Technical Drawing Learning Tool‐Level 2: An interactiveself‐learning tool for teaching manufacturing dimensioning”, Computer Application inEngineering Education, vol. 24, no. 4, March, 2016.[7] V. Sriraman, J.D. Leon, “Teaching Geometric Dimensioning and Tolerancing in aManufacturing Program”, Journal of Industrial Technology, vol. 15, no. 3, p. 2-6, May-July1999.[8] S. A. Durham, W. M
‘selection’ (shown in yellow)or ‘non-selection’ (shown in pink) of renewable energy were described in a box. Figure 7. Group 1’s (girls) decision-making Figure 8. Group 2’s (girls) decision-making process in the first discussion
GPA at thetime of graduation.References1. S. Sorby, “Educational Research in Developing 3-D Spatial Skills for Engineering Students,” International Journal of Science Education, vol. 31, no. 3, pp. 459-480, 2009.2. J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance,” Journal of Educational Psychology, vol. 101, no. 4, pp. 817-835, 2009.3. M. B. Casey, E. Pezaris, E., and R. L. Nuttall, “Spatial ability as a predictor of math achievement: the importance of sex and handedness patterns,” Neuropsychologia, vol. 30, pp. 35-40, 1992.4. D. Halpern, D., “Sex differences in cognitive abilities, Third Edition,” Mahwah, NJ
characterizations parts of the project, engineering BS, MS and PhDstudents were involved in every step and gained huge hands-on experiences on composite tech-nology. These activities also synchronized the team work ability among different levels of engi-neering students to enhance the engineering educations.Acknowledgement The authors greatly acknowledge Wichita State University for financial and technicalsupport of the present study.References1) Brauning, K. A. “Mitigation of Machining Damage on Delamination of Fiber Reinforced Composite Tensile Coupons,” M.S. Thesis, Wichita State University, May 2013.2) Shirvanimoghaddam, K., Hamim, S. U., Karbalaei Akbari, M., Fakhrhoseini, S. M., Khayyam, H., Pakseresht, A. H., Naebe, M. (2017). Carbon
flounder. It is also necessary to identify a faculty champion to leadthese efforts.Table 5: Example of a Team of Champions at KEEN I Program School*Dimensional Level Profile Department/School ImpactAdministrative President, Executive Offices, Becomes one of four Provost, Board of Trustee(s) with core strategic pillars Trustees entrepreneurial of university, funding industry experience to seed and support effortsLead Champion Endowed/Chaire
instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers in Engineering Conference, Boulder, CO.5. Rhoads, T. R., and Roedel, R. J. (1999). The wave concept inventory-a cognitive instrument based on Bloom's taxonomy. Proceedings of the 29th Annual ASEE/IEEE Frontiers in Engineering Conference, San Juan, PR.6. Martin, J. K., Mitchell, J., and Newell, T. (2004). Work in progress: analysis of reliability of the fluid mechanics concept inventory. Proceedings of the 34rd Annual ASEE/IEEE Frontiers in Engineering
cumulative failure distribution? What is the MTBF and MTTR (mean time to repair) ofa part or system? Do opportunities exit to improve a part or system performance? What types ofreliability testing are appropriate? What should be the accelerated stress conditions to use toinduce early failures?Today’s customers demand manufacturers to produce highly reliable and easily maintainableproducts. Engineering education is basically deterministic6. But natural variability plays a vitalrole in determining reliability. There is variability in the materials, manufacturing processes, andin using the products. Figure 2 shows the variability in the strength (S) of product based on
the AIChE Concept Warehouse.References1. Halloun, I. and Hestenes, D. (1985). The initial knowledge state of college physics students. American Journal of Physics 53, 1043.2. Hestenes, David, Wells, Malcolm, and Swackhamer, Greg. (2002). Force Concept Inventory. The Physics Teacher, 30,141.3. Mazur, E. (1997) Peer instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers in Engineering Conference, Boulder, CO.5. Rhoads, T. R., and Roedel, R. J. (1999). The wave concept inventory-a cognitive instrument based on Bloom's taxonomy. Proceedings
categories: courses that cover wireless network topics such ascomputer networks and data-and- communication; courses dedicated to wireless networks; and asequence of core and supporting courses which typically take the form of a track, or aconcentration in wireless communication.Introduction In the late 80’s, Mark Weiser and the team at Xerox Palo Alto Research Center (PARC)described the ubiquitous computing research project [14,15]. Two key foundations for achievingthe goal of ubiquitous computing are wireless communications and mobile communications.Wireless and mobile communications allow computing devices to “talk” to each other withoutbeing constrained by physical cables used in a wired network environment. Recognizing theimportance of wireless