Nebraska, Lincoln Dr. Guru is a computer scientist and educational researcher who focuses on curriculum development in both formal and non-formal educational settings. His expertise includes systems thinking and design, op- erations research, statistical modeling, and simulation. He has taught several graduate and undergraduate courses in statistics, systems engineering, operations research, and business analytics. Dr. Guru has pre- viously served as the Director of Research Strategy at the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska - Lincoln. In addition to his academic experience, Dr. Guru is an expert in supercomputing; he has 10 years of experience in building and
. D., and B. Stein. The Ideal Problem Solver. New York: Freeman, 1983.Brent, R., & Felder. R. M. (2014). Want your students to think creatively and critically? How about teaching them? Chemical Engineering Education, 48(2), 113-114.Daly, S. R., Mosyjowski, E. A., & Siefert, C. M. (2014). Teaching creativity in engineering courses. Journal of Engineering Education, 103 (3), 417-449. http://dx.doi.org/10.1002/jee.20048Dannenhoffer, J. F., Green, M. A. (2017). Use of a Full-motion Flight Simulator for Teaching Aircraft Performance and Dynamics, 55th AIAA Aerospace Sciences Meeting, 9-13 January 2017, Grapevine, Texas.Diaz, A. Freeing the Creative Spirit. San Francisco: Harper Collins, 1992.Napolitano, M. R., Aircraft Dynamics
of evidence- based practices in online learning: A meta-analysis and review of online learning studies. US Department of Education.2. Ruey, S. (2010). A case study of constructivist instructional strategies for adult online learning. British Journal of Educational Technology, 41(5), 706-720.3. Maor, D., & Fraser, B. J. (2005). An online questionnaire for evaluating students' and teachers' perceptions of constructivist multimedia learning environments. Research in Science Education, 35(2), 221-244.4. Rovai, A. P. (2004). A constructivist approach to online college learning. The internet and higher Education, 7(2), 79-93.5. Palincsar, A. S. (1998). Social constructivist perspectives on teaching and learning. Annual review of
. S., 1955) parameters as showed in equation (2). Ai is thelink transform for the i th joint; i 1,2,..., n and n is the number of links. cosi cos i sin i sin i sin i ai cosi sin cos i cosi sin i cosi ai sin i i 1 Ai i (22) 0 sin i cos i di 0 0 0 1 Baxter
to the question “List the part(s) of today’s program you enjoyed most,” were more varied,but many fell into two general categories: • Nearly half of the responses (37/75, 49%) included some element of the overall experience that was enjoyable, such as learning something new, interacting with the University students, and the satisfaction of getting the circuit to function correctly. • A large portion of responses (30/75, 40%) included specific portions of the project that were enjoyable, such as learning how to wire circuits or learning about how computers work.There were relatively fewer responses to the question “List two ways to improve today’s program.” • A majority of the responses (40/67, 60%) indicated that no
thenames of every component [they] used.”Figure 8 suggests that students were able to grasp the core mechanics of arch stability afterconducting the activity. Students claimed that understanding how a hanging chain’s shape isdetermined from equilibrium helped solidify their understanding of how an arch is able to stand,and that a catenary is the optimal shape for an arch. Students also commented on theirunderstanding that the “[s]urface area of the blocks affects stability” and that “friction plays acrucial role in keeping the blocks together”.The Tanks and Culverts activity displayed positive results for understanding how granular mediabehaves in pipe structures. Most students seemed to grasp how gravity, in conjunction withfriction, produces the
College. Her research interest revolves around software estimation, software design and curriculum design of software engineering course(s).Dr. Muhsin Menekse, Purdue University, West Lafayette (College of Engineering) Muhsin Menekse is an assistant professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum & Instruction. Dr. Menekse’s primary research investigates how learning activities affect students’ conceptual understanding of engineering and science concepts. His second research focus is on verbal interactions that can enhance productive discussions in collaborative learning settings. And his third research focus is on metacognition and its
of their thermaldesign margins explaining how they are using a model and sensitivity analysis before concludingthat many different situations had been considered. Therefore, while the project expertunderstood the complexity of the design and discussed the actual quantified margins ofuncertainty, we see by move 4’s question that this explanation was insufficient for the reviewer.At this point, we see the manager interject in move 4 in an attempt to explain in a differentmanner by indicating that some parts can be changed out to help with the thermal balancing,suggesting the use of a simulator, and insisting that the project expert has done everything theycan at this point. At a CDR there can still be uncertainties about the overall project
that the effects ofgender on other forms of SI available to students be examined. This outcome could be madepossible by expanding the scope of the research to other freshman engineering courses with moremale and female lecturers. Lastly, partnering with counterparts at other universities can provideadditional data to support and augment findings presented here.References[1] S. E. Carrell, M. E. Page and J. E. West, "Sex and Science: how professor gender perpetuates the gender gap," The Quarterly Journal of Economics, vol. 125, no. 3, pp. 1101- 1144, 2010.[2] L. MacNell, A. Driscoll and A. N. Hunt, "What's in a name: exposing gender bias in student ratings of teaching," Innovative Higher Education, vol. 40, no. 4, pp. 291-303, 2015
) highlightsthe following data about sources of academic research funding: The federal government provided 59% ($32.6 billion) of the $54.9 billion of academic spending on S&E R&D in FY 2009. Industry's % of funding for academic R&D declined steeply after the 1990s, from above 7% in 1999 down to about 5% by 2004, but has seen a 5-year increase to about 6% in 2009.While this indicates that industry funded research is relatively low (6% overall in 2009), someUS universities within engineering, especially at large R1 schools, receive a considerably higherpercentage of their research funding from industry than the overall 6% reported by the NSBreport. Using the National Science Foundation’s (NSF) Higher Education Research andDevelopment
engineering technology programs. Development of common assessment tools havehelped in standardizing the assessment process. Appendix Faculty Course Assessment Report (FCAR)Course No.__MET-455_____ Course Title _____Lean Engineering____ credits __3_ Semester ___Spring ___ Year____2015_____ Instructor _______Alok K. Verma______Catalog Description: Lecture 3 hours; 3 Credits. Prerequisite: Senior Standing and MET 200. This course looks atthe history of lean and six sigma philosophies, their principles and implementationmethodologies for creating a world class enterprise. Topics in Lean include five s, valuestream mapping, cellular manufacturing, pull system
fluid volume flowrate qvhot m3/s 2.0 2.0 Specific heat of hot fluid Cp,hot kJ/kg-K 4.180 4.187 Density of hot fluid ρhot kg/m3 988.76 980.3Table 2 Calculated values used to design and size a heat exchanger [4] Symbol Units Formulas Measured or calculated value for: 50°C 70°C Mass flowrate (Hot fluid) qmh kg/s (ρhot) (qvhot) 0.033 0.032 Heat power emitted from hot fluid Qe W (3) 519.0
Prism 24:2, p.24-35.Olson, S., National Academy of Engineering, & Prospects, and Priorities (Forum). (2016). Grand Challenges for engineering : Imperatives, prospects, and priorities : summary of a forum. Washington, D.C.: National Academies Press.Ramakrishna, B.L. (2017) “NAE Grand Challenges for Engineering” http://www.engineeringchallenges.org/14365/GrandChallengeScholarsProgram.aspx Retrieved 03/07/2017.
. Proceedings - Frontiers in Education Conference, FIE. Rapid City, SD, SB3-1-SB3-5.[8] Wineburg, S., (1998). Reading abraham lincoln: An expert/expert study in the interpretation of historical texts. Cognitive Science, 22 (3), 319-346.[9] Schwartz, D.L., Bransford, J.D. & Sears, D., (2005). Efficiency and innovation in transfer. In Mestre, J.P. ed. Transfer of learning from a modern multidisciplinary perspective. Greenwich, CT :: IAP.[10] Golter, P., Van Wie, B. & Brown, G., (Year). Comparing student experiences and growth in a cooperative, hands-on, active, problem-based learning environment to an active, problem-based environmented.^eds. ASEE Annual Conference and Exposition, Conference Proceedings
material is based upon work supported by the National Science Foundation Division ofGraduate Education under Grant Numbers DGE-1535462/1535226. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.
encourage more women andunderrepresented students to pursue engineering and to consider more fully the wide range ofengineering disciplines available.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1505006. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.ReferencesBandura, A. (1991). Social cognitive theory of self-regulation. Organizational Behavior andHuman Decision Processes, 50(2), 248-287.Wharton, A. (1992). The social construction of gender and race in organizations: A socialidentity and group mobilization perspective. In P. Tolbert & S
to havea voice, but that they may be changing the dynamics of the whole scene. Analysis of videorecordings of designers’ activity, for example, could confirm or disconfirm this sense.Through further analysis, we intend to explore how a pedagogical partnership between peerobservers, design team members, and classroom instructors might positively influence all thestakeholders’ practices related to engineering design/communication.References[1] Cennamo, K. S., Brandt, C. B. & Scott, B. (2010). Adapting the studio to design-baseddisciplines: Research-based strategies for effective practice, in P. Doolittle (ed.), Proceedings ofthe 2010 Conference on Higher Education Pedagogy (pp 14-15), Blacksburg, Virginia, Centerfor Instructional
, 32(1), 17-19.10. Bolyard, J., & Moyer-Packenham, P. S. (2008). A review of the literature on mathematics and science teacher quality. Peabody Journal of Education, 83, 509-535.11. National Research Council. (2006). National science education standards. Washington, D.C.: National Academy.12. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.13. Center for Educational Policy (CEP). (2007). Choice, changes, and challenges: Curriculum and instruction in the NCLB era. Washington, DC: CEP.14. Czerniak, C. (2007). Interdisciplinary science teaching. In S. Abell & N. Lederman (Eds.), Handbook of research on science education, 537–559. New York: Routledge.15
understand the rigor and intensity of anengineering curriculum before committing to the engineering bachelor degree.ChallengesSimilar to most academic programs, even successful AS/BE programs experiencechallenges that require monitoring. Notable challenges that can impact a dual/jointprogram include having consistent data, alignment of curriculum, providing adequatesupport services, and supporting student with academic difficulties.Data ConsistencyThe lack of conformity with regards to data poses significant challenges when dealingwith different institutions. One major question is whether a joint/dual degree programstudent should be classified as such when s/he first enters into a program at thecommunity college or at some defined stage afterwards
quantitiesof textual data by processing data sets in both time and resource efficient ways.One of the tasks that NLP is used for in analyzing textual data sets is that of stylometry.Stylometry can be understood as a linguistic analysis of use of words in terms of both choice andorder, which can help characterize traits of a single or group of author(s). Fox, Ehmoda, andCharniak (2012) describe the underlying principle behind work on authorship attribution to be aset of statistically quantifiable characteristics of the writing style reflected by the word/phrasechoices of individuals which make it easy to distinguish one author from the other. Stylometry isthus a type of quantitative or statistical analysis which helps identify and characterize
publicartifact (an advertisement, a tv clip, song lyrics, part of a policy debate, a toy) that representsdisability and analyze the representation based on our course readings and discussions. Onestudent might choose to bring in the catalog pages that depict an American Girl doll that wearsan insulin pump, another might show a YouTube video of a child receiving a cochlear implant,and a third might play part of 3OH!3’s song “Don’t Trust Me” that includes the lyrics “Shush,girl. Shut your lips. / Do the Helen Keller and talk with your hips.” As students share theseartifacts with their peers, they are honing their ability to see how representation matters indisability studies. The presentation assignment also asks them to look beyond the good
, from http://www.usatoday.com/story/tech/2015/01/29/ky-computer-code-as-foreign-language/22529629/10. Victor, B. (2012). Learnable Programming. Retrieved March, 7, 2014, from http://worrydream.com/LearnableProgramming11. Ellis, R. (1994). The Study of Second Language Acquisition. Oxford: Oxford University Press.12. Krashen, S.D. (1981). Second Language Acquisition and Second Language Learning. Oxford: Pergamon Press.13. Krashen, S. D. (1982). Principles and practice in second language acquisition. Oxford: Pergamon Press.14. Krashen, S. D. & Terrell, T. (1983). The Natural Approach: Language Acquisition in the Classroom. London: Prentice Hall Europe.15. Williams, J. (1999). Memory, Attention and Inductive Learning
localdevelopment: the contribution of engineers without borders from Italy and Colombia: towardsthe improvement of water quality in vulnerable communities. Systemic Practice and ActionResearch, 24(1), 45-66.Richards, L. G., & Gorman, M. E. (2004). Using case studies to teach engineering design andethics. In CD) Proceedings, 2004 American Society for Engineering Education Conference (Vol.52).Richards, J., Elby, A., Gupta, A. (2014) Characterizing a New Dimension of Change inAttending and Responding to the Substance of Student Thinking. In Polman, J. L., Kyza, E. A.,O’Neill, D. K., Tabak, I., Penuel, W. R., Jurow, A. S., O’Connor, K., Lee, T., and D’Amico, L.(Eds.). (2014). Learning and becoming in practice: The International Conference of the
, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.Dörner, R., Göbel, S., Effelsberg, W., & Wiemeyer, J. (Eds.). (2016). Serious games: Foundations, concepts and practice. Cham: Springer International Publishing. doi:10.1007/978-3-319-40612-1Evans, J. S. B. (2009). How many dual-process theories do we need? One, two, or many?.Evans, J. S. B. (2003). In two minds: dual-process accounts of reasoning. Trends in cognitive sciences, 7(10), 454-459.Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York: Palgrave Macmillan.Hamari, J. ; Koivisto, J. ; Sarsa, H. (2014). Does Gamification Work? -- A Literature Review of
advice,feedback, and guidance on the issues teams faced in pursuing a path to commercialization.Course Evaluation and Feedback. Assessment of learning outcomes, course dynamics, andeffectiveness was achieved through anonymous pre- and post-course surveys of participants(Table 2). The survey included three short answer questions to determine role on the team, area(s)of expertise, and intention/history of attendance. Following the role identification questions wereten questions aimed at ranking knowledge gained from the course. Then, following the sameranking format, five questions aimed to determine participant enthusiasm over aspects of thecourse, such as excitement to network or to hear other teams present. The survey concluded witha final
tocommunicate with the Arduino is extremely easy to install because it is an Add On inMATLAB®. The code to set up the input and output channels is simpler to understand sostudents would hopefully not be frustrated by a bunch of pre-written code that seemedmysterious. The wiring would be simpler since students would not have to use a screwdriver tosecure wires into a terminal. The Arduino is significantly cheaper than the myDAQ so it wouldbe possible to purchase additional units, allowing students to work in groups of two rather thanthree.Bibliography1. M. J. Prince, “Does active learning work? A review of the research,” Journal of Engineering Education, 93: 223–231, 2004.2. S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt
, business opportunities and future directions; integrated 3Dscanning and 3D printing lab experiments.Textbook:Ian Gibson, David, W. Rosen, and Brent Stucker: Additive ManufacturingTechnologies: 3D Printing, Rapid Prototyping and Direct Digital Manufacturing, SecondEdition, Springer, 20151.Reference Book:C. K. Chua, K, F. Leong, and C. S. Lim, “Rapid Prototyping: Principles andApplications”, Third Edition, World Scientific, 20102.The contents of this course include recent advances in the Additive Manufacturing (AM)technologies that specializes in rapid prototyping of three-dimensional objects:Photopolymerization processes (Stereolithography (SL) Technology); Powder bed fusionprocesses (Selective Laser Sintering – SLS, Electron Beam Melting
environment where the size of theprogram requires dedicated staff to manage it. Software tools may be nice to have for SoftwareEngineering projects but are not as “must-have” as supplies and equipment for UTDesignprojects are. .The two senior design programs raises some interesting questions that will have to be dealt with.Among them is academic credit for major degree requirements through properly structuredinternships with some faculty involvement (other universities have already done so, e.g. [9]).References:1. Wong, W.E., “Industry Involvement in an Undergraduate Software Engineering Project Course: Everybody Wins”, Proc. of the 2013 ASEE Annual Conference (2013).2. S. Howe, L. Rosenbauer, S. Poulos, “2015 Capstone Design Survey: Initial
facilitate ongoing research on retention. Ms. Bego is 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 engineering from the University of Louisville. Dr. Ralston teaches undergraduate engineering mathematics and is currently involved in educational research on the effective use of technology in engineering education, the incorpo- ration of critical thinking in undergraduate engineering education, and retention of engineering students. She leads a research group whose
research 1. Its questions are tailored to identify students’ implicit assumptions in aspecific field and may be applied both pre- and post-instruction. There is no currently existing CIfor networking and telecommunications. Our initial results seem to suggest that the developmentof a CI for this field would be very useful. However, we would like this CI to be applicable to adiverse set of students, with respect to both their culture and their educational level(undergraduate and graduate). At the moment, the development of such a CI is still in an earlystage.In summary, this study expands the breadth of knowledge on student preconceptions in STEMby including the subject of QoS in telecommunications, identifying some of thepreconception(s