Study,” Journal of Engineering Education, vol. 86, 01/01 1997, doi: 10.1002/j.2168-9830.1997.tb00259.x.[2] A. C. Strenta, R. Elliott, R. Adair, M. Matier, and J. Scott, “Choosing and Leaving Science in Highly Selective Institutions,” Research in Higher Education, vol. 35, no. 5, pp. 513-547, 1994. [Online]. Available: http://www.jstor.org/stable/40196139.[3] E. Simpson, D. Bradley, and J. O’Keeffe, “Failure is an option: an innovative engineering curriculum,” International Journal of Building Pathology and Adaptation, vol. 36, 05/10 2018, doi: 10.1108/IJBPA-10-2017-0046.[4] R. D. Augustine and M. S. U. C. o. Engineering, Persistence and Attrition of Engineering Students: A Study of Freshman and Sophomore
enablethe realization of successful software systems" [1] and has recently been standardized by the IEEE. Inthis WIP article, we will discuss the justification for including DevOps within a Software EngineeringProgram, discuss the challenges that this methodology places upon an instructor to teach, ideas forincorporating this material into the program, and how this can be extended to address the inclusion ofsecurity through a discussion of DevSecOps.IntroductionThe discipline of software engineering is generally attributed to the 1960’s, with the specifics of theterminology either coming from Margaret Hamilton and her work with NASA [2] or the 1968 NATOConference on Software Engineering [3]. Since then, the discipline has grown and evolved
. Amsterdam: Elsevier, 2001, pp. 79–104.[5] D. G. Jansson and S. M. Smith, “Design fixation,” Design Studies, vol. 12, no. 1, pp. 3–11, 1991.[6] IDEO, The Field Guide to Human-Centered Design. 2015.[7] A. Shum et al., “Inclusive Design Toolkit,” Microsoft Design, 2016.[8] S. R. Daly, C. M. Seifert, S. Yilmaz, and R. Gonzalez, “Comparing ideation techniques for beginning designers,” Journal of Mechanical Design, vol. 138, no. 10, p. 101108, Oct. 2016, doi: 10.1115/1.4034087.[9] S. Yilmaz, C. Seifert, S. Daly, and R. Gonzalez, “Design Heuristics in innovative products,” Journal of Mechanical Design, vol. 138, no. 7, 2016.[10] A. Osborn, Applied Imagination: Principles and Procedures of Creative Problem Solving New York. Scribner
material is based upon work supported by the National ScienceFoundation under Grant No. DUE 1712186. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarily reflectthe views of the National Science Foundation. This work was completed within the framework ofUniversity of Toledo IRB protocol 202214.References[1] World Economic Forum, "Figure 10: Change in demand for core work-related skills, 2015- 2020, all industries; Chapter 1: The Future of Jobs and Skills;," in "The Future of Jobs: employment, Skills and Work force Strategy for the Fourth Industrial Revolution," January, 2016 2016. Accessed: January, 2019. [Online
) isadministered with a single 11”x 14” piece of paper. First, participants were instructed to “Draw apicture of an engineer(s) engaging in their daily work. Include a speech bubble that tells aboutwhat they are doing.” Next, participants were instructed to provide answers to the followingprompts: (1) Describe what your engineer(s) is/are doing, (2) Based on the work depicted in yourdrawing, explain how your engineer(s) is/are using Science, and (3) Based on the work depictedin your drawing, explain how your engineer(s) is/are using Mathematics.Rubric DevelopmentThe DEAMS-R rubric was developed by two science education researchers and one mathematicseducation researcher in consultation with an engineering researcher. The development of therubric was
dαAs examples, contrast two curves. On a circle, the curvature, κ = remains constant as the arc ds d2 ylength, s, varies but varies. On the second curve, a vertical geometric parabola, y(x) = x2, dx2d2 y dα is constant, but the curvature, , varies, being greatest at the vertex and decaying to zero asdx2 dsx increases beyond bound.Note 1: The equation κ = R-1 identifies the curvature of a circle with the reciprocal of its radius.A smaller circle has a greater curvature or rate of turn than a larger
Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F. (2001). Spatial ability and learning the use of an angled laparoscope in a virtual environment. In J
engineering.References[1] R. S. Adams, J. Turns, and C. J. Atman, “Educating effective engineering designers: The role of reflective practice,” in Design Studies, 2003, vol. 24, no. 3, pp. 275–294.[2] G. Lemons, A. Carberry, C. Swan, L. Jarvin, and C. Rogers, “The benefits of model building in teaching engineering design,” Des. Stud., vol. 31, no. 3, pp. 288–309, 2010.[3] D. Tolbert and S. R. Daly, “First-year engineering student perceptions of creative opportunities in design,” Int. J. Eng. Educ., vol. 29, no. 4, pp. 879–890, 2013.[4] S. R. Daly, E. A. Mosyjowski, and C. M. Seifert, “Teaching Creativity in Engineering Courses,” J. Eng. Educ., vol. 103, no. 3, pp. 417–449, Jul. 2014.[5] L. A. Liikkanen and M. Perttula, “Exploring problem
graduate student mentors and SURE participants is a vitalaspect of establishing strong mentoring relationships. During the 2005 SURE programthe SURE Program Coordinator was solely responsible for the pairing of studentparticipants with graduate student mentors. However, in the 2006 SURE program,graduate student mentors were given the opportunity to select student participants tomentor. Selection was based upon evaluation of a list that included the studentparticipant’s home school, hometown, research area, and faculty advisor. A maximum oftwo and a minimum of one SURE participant(s) were given to each graduate mentor.Graduate student mentor opinions were solicited in the 2006 SURE program. Thisincreased participation in program activities amongst
calibration, bridge design and evaluation, and reliability of bridge structures. Page 13.1032.1© American Society for Engineering Education, 2008 Reliability of Bridges: Significant Addition to Civil Engineering CurriculumAbstractRapid highway system development in the United States in the 1960’s and 1970’s has resulted ina large number of bridges reaching a stage in need of repair, rehabilitation, or replacement.Truck loads have also been steadily increasing since then. This has made the situation evenworse. Many developed countries are currently experiencing a problem of aging
m =0 m yk +m , where xm is a sample of the transmittedsignal and yk+m is a sample of the return signal, 0 ≤ k ≤ N – 1, and N is the number of samples ineach sequence.Programming ConsiderationsThe program consists of a main form with three plots. User controls allow changes in thefollowing parameters: the number of cycles, amplitude, and frequency of the transmitted pulse;the delay of the received signal; and the type and amplitude of the noise. Additional controlsallow the user to have the program generate a new noise sample or display a histogram of thenoise in a pop-up window. The S/N ratio in the simulated signal plus noise is also displayed.The topmost plot displays the transmitted
, v 4, 1988, p 194-2045. Runyoro J, Boutorabi S, Campbell J., AFS Transactions, v 100, 1992, p 225-2346. Cuesta R, Delgado A, Maroto J, Mozo D, Proc. World Foundry Congress 2006, 4-7 June, Harrogate, UK, paper n. 867. Berry J, Luck R, Felicelli S, Liquid Metal Damage Before and After Pouring – Some Recent Observations, Seminar on High Quality Castings, 27-Mar-2007, Valladolid, Spain8. Poola S, Felicelli S, Legget S, Berry JT, A re-examination of factors affecting porosity gradients in unidirectionally solidified samples, to be presented at 112th Metalcasting Congress, Atlanta, GA, 17-20 May 20089. Felicelli S D, Heinrich J C, Poirier D R: Numerical model for dendritic solidification of binary alloys, Numer
Technology, Engineering Technology, Electronics, as well as Drafting andDesign, attend each Forum. Each participant is responsible for his or her own travel. The mostrecent ET Forum was held March 6-7, 2008 at Pensacola Junior College (PJC), which servesEscambia and Santa Rosa Counties in the state’s panhandle. The fall 2008 Forum will be hostedby Seminole Community College in Central Florida. For more information on the ET Forumsvisit: www.fl-ate.org/partners/et_forum.htm Meetings of the Florida Engineering Technology Forum 1 S 1996 University of Central Florida 2 S 1997 Seminole Community College 3 F 1997 Gulf Coast Community College 4 S 1998
(D) z = 27e−0.927i 4 + i52. Rationalize the complex number, 2+i (A) z = 2.6 + 0.8i (B) z = 0.8 + 2.6i (C) z = −0.8 − 2.6i (D) z = 2.6 − 0.8i3. The Laplace transform of the solution to the following equation with the given boundary conditions is y "+ y − sin 3t = 0 y '(0) = 0 y '(0) = 0 3 3( A) y( s ) = ( B) f = y( s
I Session 2 6 2 5 .— -- . . ..— ....... Using Design Portfolios to Improve Design Education Vincent Wilczynski, Kurt J. Colella U. S. Coast Guard AcademyAbstract The design portfolio is a useful tool to help engineering educators develop and evaluate student designabilities. Like professional portfolios, an institution’s design portfolio features the best student work thatresults when design instruction is
by the National Science Foundation tointegrate the long-standing research advances, achieved by the University of Tennessee (UT),Knoxville, and the Oak Ridge National Laboratory (ORNL), on ceramic-matrix composites(CMCs) into the interdisciplinary undergraduate and graduate level curricula of Materials andMechanics at UT.PROJECT COMPONENTSResearch Significant high-quality and innovative research progress covering a broad class oftechnologically important areas of CMCs, including fabrication, characterization, modeling anddesign, has been accomplished at ORNL as well as at UT since early 80's[1-39]. The researchadvances of CMCs are ready for being integrated into curriculum development. The continuedresearch efforts are currently being
green technology jobs. Given these goals, it is important that SJSU contribute notonly research and development but also well-educated graduates to advance the cause of thisimportant endeavor.At the state level in California, energy research will be accelerated by state law AB 32. AB 32mandates aggressive standards for emissions in California by 2020. Economists have found that,in order to meet AB 32’s goals, businesses will generate tens of thousands of new jobs forCalifornia2. According to a World Wide Fund for Nature study3, California is expected to gainover 140,000 new clean tech jobs by 2020. Along with new jobs, Californian industries willinvest heavily in research and development efforts in renewable energy.When it comes to developing
, postdoctoral researchers, graduate students, undergraduates and others within their research group – whether that means discussing who has authority to make decisions about purchasing materials, or what the “chain of command” is when there is a question about research procedures. Metrics: How will the team members know if they have succeeded? What are the metrics that can be assessed to determine if the team has reached its goal(s)? Consequences: what happens if a team member does not follow the groundrules or meet the expectations described in the team charter? What types of interventions or warnings are given, and under what circumstances is a member released from the team?Developing a team charter
., Ciarallo, F.W., Klingbeil, N.W. (2014). Developing the Academic Performance- Commitment Matrix: How measures of objective academic performance can do more than predict college success. Proceedings 121st ASEE Annual Conference and Exposition, Indianapolis, IN, June 2014.Brown, S. D., Tramayne, S., Hoxha, D., Telander, K., Fan, X., & Lent, R. W. (2008). Social cognitive predictors of college students’ academic performance and persistence: A meta- analytic path analysis. Journal of Vocational Behavior, 72(3), 298-308.Burnham, J.R. (2011). A case study of mathematics self-efficacy in a freshman engineering mathematics course. (unpublished master’s thesis). Washington State University, Pullman, WA.Connor, M. C., & Paunonen, S. V
consider the engineering course they took in theprevious semester that was the most relevant to their current course and to indicate their priorexperience with four of the most commonly used types of instruction in engineering course.These types of instruction include: “listen to the instructor lecture during class,” “answerquestions posed by instructor during class,” “brainstorm different possible solutions to a givenproblem,” and “discuss concepts with classmates during class.” If a student had been exposed tothis type of instruction in the prior course, s/he was also asked how s/he typically responded to itusing four classroom engagement constructs of value, positivity, participation, and distraction(Table 1; DeMonbrun et al., 2017; Fredricks
this method of delivery with the other partner schools.References 1. Adapting Tested Spatial Skills Curriculum to On-Line Format for Community College Instruction: A Critical Link to Retain Technology Students (HRD# 1407123) was funded by the National Science Foundation (NSF) in July of 2014. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F
assessmentof the first year of the program. The students were carefully and closely mentored by aninterdisciplinary team of faculty members from various departments within the Colleges ofEngineering and Science. The participating students learned to use computational tools needed toengage in multidisciplinary UAV research projects. They learned to do the scientific literaturereview, and had an opportunity to improve written and oral communication skills. Theparticipants were required to present a poster, give an oral presentation of the research, and submitabstract (s) to student and/or professional conferences. In addition, the students participated in aseries of research symposium and seminars designed to expose them to a range of research topics
collaborative multinational design Project (CMDP) with a perception of value above 70% of the maximum possible score for such construct, therefore the Null Hypotheses is: o 𝜇𝑉𝑎𝑙𝑢𝑒 𝐶𝑀𝐷𝑃 ≤ 70% The maximum scores are based on the number of statements included in the particular construct, therefore, the interest construct has a maximum total of 49 points (i.e., 7 statements with a maximum score of 7 for each), and the value construct has a maximum score of 35 points. Because of the existence of reverse statements, the actual score for each construct was calculated based on the following expressions: S 6 S11 S14 S17 8 S 22 S 26 S 29 Interest
TechnologyAbstractThis paper introduces two scholarship projects funded by the National Science Foundation thatfocus on students who transfer at the 3rd year level from 2-year schools to the engineering andengineering technology BS programs at our university. The objectives of both the projects are:(i) to expand and diversify the engineering/technology workforce of the future, (ii) to developlinkages and articulations with 2-year schools and their S-STEM programs, (iii) to provideincreased career opportunities and job placement rates through mandatory paid co-opexperiences, and (iv) to serve as a model for other universities to provide vertical transferstudents access to the baccalaureate degree.The Transfer Pipeline (TiPi) project awarded 25 new scholarships
module is 1x1x1 ft3. Note that the module is completely enclosed to avoid any stray light,particularly during dark I-V measurements. The front lead and side cover plates can be removedeasily as they are magnetically attached. The developed hardware setup and the softwaretechnology is currently being assessed for a provisional patent application. The author(s) intend todemonstrate the functionality of a smaller prototype version of the online lab module at the ASEEmeeting.Figure 4. Photographs of the fabricated remote lab module (v1.0) with the front lead open – (a) LEDs off, (b) LED array operating at 40% intensity, and (c) LED array operating at full intensity.Multiple of these modules can be used together to perform complex experiments
student PSVT:R scores, grades,retention, and progress towards graduation.References 1. Guay, R.B. (1977). Purdue Spatial Visualization Test: Rotations. Purdue Research Foundation, West Lafayette, IN. 2. Maier, P. H. (1994). Raeumliches vorstellungsvermoegen. Frankfurt A.M., Berlin, Bern, New York, Paris, Wien: Lang. 3. Barke, H.D. (1993). Chemical education and spatial ability. Journal of Chemical Engineering, 70(12): 968-971. 4. Sorby, S. A. (2000). Spatial abilities and their relationship to effective learning of 3-D modeling software. Engineering Design Graphics Journal, 64(3), 30-35. 5. Eyal, R. & Tendick, F. (2001). Spatial ability and learning the use of an angled laparoscope in a virtual environment
direction? (f) Which object (or objects) was at rest for some period of time? 2 2 2 A B C 1 1 1 v (m/s) v (m/s) v (m/s) 0 0 0 0 1 2 0
that affords different levels of analysis that can be used to triangulatefindings. By doing so, the validity and reliability of the recommendations and implications canbe strengthened through maximum information and perspective, corroboration of data, andreduction of bias [18, 19]. Such methods might be used to clarify complex social, cultural, and/orpolitical phenomena [20] such as the lack of diversity in particular engineering fields.References[1] S. Cheryan, S. A. Ziegler, A. K. Montoya, and L. Jiang, “Why are some STEM fields moregender balanced than others?” Psychol Bull, vol.143, no.1, pp.1-135, Jan. 2017.[2] C. E. Foor, S. E. Walden. and D. A. Trytten, “I wish that I belonged more in this wholeengineering group: Achieving individual
company has successfully launched semi-autonomous vehicles (Model S and Model X) to Indian market, while Google’s Self-Driving Car(SDC) has been in development since the last decade (Figure 6). Google and Tesla differ fromeach other in the approach they take towards building self-driving cars. Their differences aremainly in two areas, computer vision technology and human car control.Google embraced the LIDAR (Light Detection and Ranging) technology [23], now a de factostandard for autonomous vehicles to form a 3D model of the world around the car (Figure 7).LIDAR is used to determine the size and distance of all things around the car in anycircumstance or situation. However, LIDAR has its own challenges: LIDAR is expensive and proves
somegaps in the current research that can lead to the development of novel research questions. Thesequestions will inform future research that will contribute to the body of knowledge available onthe role of makerspaces in engineering education.References[1] D. Dougherty, Free to Make: How the Maker Movement Is Changing Our Schools, Our Jobs, and Our Minds. Berkeley: North Atlantic Books, 2016.[2] L. Martin, “The Promise of the Maker Movement for Education,” J. Pre-College Eng. Educ. Res., vol. 5, no. 1, 2015.[3] E. R. Halverson and K. Sheridan, “The Maker Movement in Education,” Harv. Educ. Rev., vol. 84, no. 4, pp. 495–504, 2014.[4] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, “Pedagogies of