Veterans in Engineering Programs,” in 41st ASEE/IEEE Frontiers in Education Conference, 2011.[5] D. B. Stringer and M. McFarland, “Veterans ’ Contributions to Enhancing the Capstone Learning Experience of Engineering Cohorts,” in Proceedings of the 123rd ASEE’s Annual Conference & Exposition, 2016.[6] M. D. Mumford, S. J. Zaccaro, F. D. Harding, T. O. Jacobs, and E. A. Fleishman, “Leadership Skills for a Changing World: Solving Complex Social Problems,” Leadersh. Q., vol. 11, no. 1, pp. 11–35, 2000.[7] A. Cummings and W. Oakes, “Helicopter Aerodynamics and Design Course Developed from a Research-Informed Framework,” in Proceedings of the 122nd ASEE Annual Conference & Exposition, 2015.[8
devicemanufacturers perspectives,” BMC Medical Informatics and Decision Making, vol. 11, no. 1,2011.[3] M. B. Privitera, M. Design, and D. L. Murray. “Applied Ergonomics: Determining UserNeeds in Medical Device Design,” presented at the 31st Annual International Conference of theIEEE EMBS, Minneapolis, MN, 2009.[4] M. Maguire. “Methods to Support Human-Centered Design,” International Journal ofHuman-Computer Studies, vol. 55, no. 4, pp. 587-634, 2001.[5] M. Gertner. “Biomedical Innovation, Surgical Innovation, and Beyond,” presented at the th9 Annual National Collegiate Inventors and Innovators, San Diego, CA, 2005.[6] J. L. Martin, E. Murphy, J. A. Crowe, and B. J. Norris, “Capturing user requirements inmedical device development: the role
] R.G. Bringle, & J. Hatcher, “Campus-community partnerships: The termsof engagement.” Journal of Social Issues, vol 58 ED-3, pp. 503-516. 2002.[3] J. Thompson “Engineering community engagement partnerships: Investigatingmotivation, nature, and structure,” Doctoral dissertation, Dept Engineering Education,Purdue University, West Lafayette, IN, 2015. Retrieved from ProQuest (3720049). 2[4] M. Sandy, and B. Holland, “Different worlds and common ground: Communitypartner perspectives on campus-community partnerships,” Michigan Journal of CommunityService Learning, vol. 13(1), pp 30-43, 2006[5] L. Worrall, “Asking the community: A case study of community partner perspectives,”Michigan Journal of Community Service Learning, vol. 14(1
width of the traces independently (Figure 8).Design rules can be defined by net classes, class-to-class rules, and detailed settings by object types for eachclass or layer. DipTrace features a design process withreal-time DRC, which reports errors before makingthem. Students are then able to determine errors withtheir design to save costs on error prints, which reducesproject time and material waste. The board can bepreviewed in 3D and exported for mechanical CAD FIGURE 8 ROUTING TRACE modeling (Figure 9). Design Rule Check (DRC) with (CONTROL B OARD) in-depth detailing, net connectivity verification, andcomparing to source schematic ensure maximum quality of
is applied in other cultural contexts.With respect to environmental engineering, students became more aware of the water reuse andsanitation challenges faced in another country and how science and engineering skills can beused to address these challenges.ReferencesAnaniadou, K., Claro, M. 21st century skills and competences for new millennium learners inOECD countries (2009). Organization for Economic Co-operation and Development.EDUWorking paper no. 41.Adedokun, O. A., Bessenbacher, A. B., Parker, L. C., Kirkham, L. L., & Burgess, W. D. (2013).Research skills and STEM undergraduate research students' aspirations for research careers:Mediating effects of research self efficacy. Journal of Research in Science Teaching, 50(8),940-951.Bell
magnitude! Also, the last part seems to be missing; you need to find the power spectral density of the output signal. Figure 2 - Sample Focus Problem Rating Table.ambiguity. For example, the slightest imperfection, such as the omission of units, could becaptured through the first performance criterion.2.4. Team ALP Competition Team ALPs: ALP AWARD TEAM A B. Elias 57.5 4.3 C. Fady 94.375 7 C. Jad
instructor to determine the next steps, and unstructured time for their designchallenge. Explicit NOE instruction occurred once at the beginning of the professionaldevelopment.InterventionThe five-hour schedule for the eight days of professional development was flexible but consistedof several key components. On the first day, teachers completed the questionnaire and someteachers were selected for interviews. Then all participants received explicit instruction on NOE(Appendix B) and the three phases of the NGSS engineering design process (i.e., Define theProblem, Develop Solutions, Optimize). Participants learned about problem definition, criteriaand constraints, and then practiced their understanding through a simple exercise about designingan
ETEC faculty members have had a chance to work with the specific QSrepresentatives to identify the technical competencies that the industry requires for potentialemployment [5-8]. A number of face-to-face and conference call meetings were held withindividual course instructors. All the course details, targeted competencies, and the current statusare listed in Appendix A and B. Table 1. Recommended ETEC classes to be completed prior to the Internship Program ETEE 1340 Intro. to Circuits ETEE 2320 Circuits and Systems ETEC 1100 Engineering Foundations ETSM 4363 Safety Program Management ETCM 4368 Building Materials ETEC 4380 Material Handling & Plant Layout ETEC 4382 Industrial Safety ETEC
FullyCompliant Space Pointing Mechanism.” Mechanical Sciences, pp. 381-390, 2013.[13] B. J. Edmondson, L. A. Bowen, C. L. Grames, S. P. Magleby, L. L. Howell, and T. C.Bateman. “Oriceps: Origami-Inspired Forceps,” in Proeedings of the ASME 2013 Conference onSmart Materials, Adaptive Structures and Intelligent Systems, 2013.[14] Q. T. Aten, B. D. Jensen, S. H. Burnett, and L. L. Howell. “A Self-reconfiguring MetamorphicNanoinjector for Injection into Mouse Zygotes.” Review of Scientific Instruments, vol. 85, p.055005, 2014.[15] K. C. Francis, L. T. Rupert, R. J. Lang. D. C. Morgan, S. P. Magleby, and L. L. Howell.“From Crease Pattern to Product: Considerations to Engineering Origami-Adapted Designs,” inProceedings of the ASME International Design
students often make errors in connections evenfor a simple logic circuit.The first course in the sequence introduces design entry using Schematic Capture. The studentscan relate to the logic circuit as learned in the classroom using traditional logic symbols andBoolean algebra principles. This is followed by some functional simulation practice to verify thebasic design. The final step is then performed by downloading the programming file onto thetarget FPGA device. In the next phase, the Very High Speed Hardware Description Language(VHDL) design styles are introduced. The students are given a taste of the three approaches towriting Architecture Declaration, namely: (a) Data-flow Approach (b) Structural Approach and(c) Behavioral Approach. With
ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/14953[4] B. Read-Daily, “Using backpacking water purification systems as a means of introducing water treatment concepts to an introduction to environmental engineering course,” 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.27132[5] N. Mladenov, T. Kulkarni, and M. London, “Use of In-Class Demonstrations and Activities to Convey Fundamentals of Environmental Engineering to Undergraduate Students” 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/23242[6] A. Hill, and Z. Mitchell, “Competitive problem-based learning in an environmental engineering laboratory course” 2014
projects byproviding the practical and technical training for projects. SERC is multidisciplinary in electrical,mechanical, and biomedical engineering fields and encourages students to collaborate on projectsand share ideas with each other. SERC provides student the technical training and hands onknowledge in order to complete their projects and get experience with rapid prototyping.References:[1] T. W. Barrett, M. C. Pizzico, B. Levy, and R. L. Nagel, “A Review of University Maker Spaces A Review of University Maker Spaces Introduction,” no. 2013, 2015.[2] R. J. Morocz, “University Maker Spaces : Discovery , Optimization and Measurement of Im- pacts University Maker Spaces : Discovery , Optimization and Measurement of
. The main topics of the course include stress, strain,deformation, and stress/strain transformation. In the three-semester duration of this study, threefaculty members (Instructors A-C) taught lecture sections and one faculty member (Instructor C)taught laboratory sections (Table 1). Instructor C taught one section of CIVL 304 and twosections of CIVL 307 in fall 2017. The syllabi, textbook, and topics covered were identical forall lecture and laboratory sections. For this study, the summer cohorts and fall cohort are treatedas equivalent. It should be noted that Instructor A is an early-career tenure-track assistantprofessor with less than five years of teaching experience, Instructor B is a full professor withapproximately 15 years of
Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation. c American Society for Engineering Education, 2018 Modeling Student Performance in an Introductory Chemical Engineering CourseWe have developed an open-ended, laboratory-based introduction to chemical engineering, acourse coupling traditional, hands-on, and
and support during the work, and for performing parts of the investigation.References [1] B. Seely, “Patterns in the history of engineering education reform: A brief essay,” in Educating the Engineer of 2020. Washington, D.C.: The National Academy of Engineering., 2005. [2] B. Cohen, J. Stroud, and K. L. Rossmann Bernhardt, “Introducing engineering as a socio-technical process.” Proceedings of the 121st ASEE Annual conference, Indianapolis, IN, USA, 2014. [3] “National academy of engineering,” The Engineer of 2020: Visions of Engineering in the New Century, 2004. [4] N. Spinks, N. L. J. Silburn, and D. W. Birchall, “Making it all work: the engineering graduate of the future, a uk perspective.” European Journal of
undergraduate students, facultymembers, and practicing engineers and their approaches to an ill-structured problem using verbalprotocol analysis to document and assess problem solving approaches and evaluate differencesbetween the three groups. Thus far, we have worked on the development of the ill-structuredproblems and are currently in the pilot-test phase. A summary of the procedures followed thus farfor problem formulation and pilot testing are included in Part A of the methodology. This isfollowed by the planned methods to be followed for the remainder of the study in Part B-D.A. Procedures for Problem Formulation The first task includes the design of ill-structured problems that could be presented toparticipants to better understand their
the probabilityat the given value or less. With this information, all the needed probabilities can becalculated. The syntax of the formula is =NORM.DIST( xo, µ, σ, TRUE) where, xo isthe value of the continuous random variable, µ is the mean and σ is the standarddeviation. The value TRUE request the cumulative probability for all x values in therange from -∞ ≤ x ≤ xo.Normal Distribution EXCEL Problem 1:The mean incubation time for a type of fertilized egg kept at 100.1°F is 21 days.Suppose that the incubation times are approximately normally distributed with a standarddeviation of 2 days.(a) What is the probability that a randomly selected fertilized egg hatches in less than 19 days?(b) What is the probability that a randomly selected
. Available: https://www.youtube.com/watch?time_continue=7&v=mGY_9sFg2qM.[10] A. Maurya, Why Lean Canvas vs Business Model Canvas? February 27, 2012. [Blog post] Available: https://leanstack.com/is-one-page-business-model.[11] N. Althuizen, B. Wierenga, and J. Rossiter, “The Validity of Two Brief Measures of Creative Ability,” Creativity Research Journal, 22(1), pp. 53-61, 2010.[12] S. Bjorklund and N. Fortenberry, Measuring Student and Faculty Engagement in Engineering Education, Washington, DC: The National Academy of Engineering of the National Academies, 2005. [E-Report] Available: https://www.nae.edu/File.aspx?id=11463&v=451a62ea.[13] NR Anderson and MA West, “Measuring climate for work group
. Goldsmith and K. Willey, “‘It’s not my job to teach writing’: Activity theory analysis of invisible writing practices inthe engineering curriculum.” J. Acad. Lang. Learn., vol. 10, no. 1, pp. A118—A129, 2016.[3] H. P. Sjursen, “The new alliance between engineering and humanities educators,” Glob. J. Engng. Educ, vol. 11, no. 2,pp. 135—139, 2015.[4] R. Goldsmith and K. Willey, “How can the development of writing practices in the engineering curriculum be enabled ?,”AAEE Conference, 2016.[5] K. M. Arnold, K. Thio, W. B. Reilly, M. A. McDaniel, and E. J. Marsh, “Understanding the Cognitive Processes Involvedin Writing to Learn,” J. Exp. Psychol. Appl., vol. 23, no. 2, pp. 115–127, 2017.[6] S. R. Goldberg, J. Rich, and A. Masnick, “The use of
change and innovation with in the School that led to improved retention efforts [1].Several new personnel were hired, including several faculty and a retention and engagementexpert, who prioritized improvement of services to promote retention.Retention Efforts within the School of EngineeringSeveral academic and community enrichment services were implemented after 2011. The firstwas Supplemental Instruction (SI), which was designed to give students’ academic support incourses that commonly reported high percentages of low final grades (D or F) and/orwithdrawals [2]. Courses are assigned an SI Leader, which is a student who has previouslypassed the course with a final grade of B or better, to hold twice-per-week support sessions. Inaddition
growth. Therefore, this project aligns well with calls to study the designof STEM learning experiences and whether those experiences improve valued outcomes.References[1] E. Towle, J. Mann, B. Kinsey, E. J. O. Brien, C. F. Bauer, and R. Champoux, "Assessing the self efficacy and spatial ability of engineering students from multiple disciplines," in Proceedings Frontiers in Education 35th Annual Conference, 2005, pp. S2C-15.[2] N. Veurink and A. Hamlin, "Spatial Visualization Skills: Impact on Confidence and Success in an Engineering Curriculum," presented at the 2011 ASEE Annual Conference & Exposition, Vancouver, BC, 2011. Available: https://peer.asee.org/18591[3] M.-T. Wang and J. Degol, "Motivational Pathways to
students each term. The number of teaching assistants hired to help with the course istypically 10-14 per term. 80% 70% 60% 50% 40% 30% 20% 10% 0% Fall 2017 Spring 2017 Winter 2017 Fall 2016 Spring 2016 Winter 2016 Female Male Figure 5. Teaching Assistants by Term and Gender (ENGS21 - Introduction to Engineering)Survey and Interview DataIn another attempt to better understand why the percentage of women in engineering is high atDartmouth, we surveyed faculty, students, and alumni. The surveys that we used are included inAppendix A and B. The goal of the surveys was to determine what factors faculty, students andalumni
not thecase with this project. There were no grades below a B and 20 teams earned an A or A-. We’d like to 4think that the unique content engaged students more than the traditional topics used in previousprojects, and student surveys helped us understand how. This is discussed in detail below in the surveysection. A. Fuel Leak Dynamics. The accident at the Damascus, Arkansas site involved a complex series of events that ultimately resulted in the explosion. We cannot fully analyze the mass balance, chemical reaction hazards, and process dynamics due to a lack of detailed information and because the ChE content
Conference, 2017.[2] Farook, O., J. Agrawal, A. Kulatunga, A. Ahmed, W. Yu, Y. Lee, and H. Alibrahim. FreshmanExperience Course in Electrical and Computer Engineering Technology Emphasizing Computation,Simulation, Mathematical Modeling, and Measurements. Proceedings of ASEE Annual Conference, 2017.[3] Polasik, A. Successes and Lessons Learned in an Undergraduate Computational Lab Sequence forMaterials Science and Engineering. Proceedings of ASEE Annual Conference, 2017.[4] Rihana-Abdallah, A. and J. Lynch. Using Matlab-generated Numerical Solutions in an EnvironmentalEngineering Class to Predict the Fate and Transport of Contaminants. Proceedings of ASEE AnnualConference, 2017.[5] Wheatley, B., T. Donahue, and K. Catton. An Active Learning
Computer Assisted Learning, vol. 23, pp. 410-424, 2007.[3] D. H. Jonassen, J. Howland, J. Moore, and R. M. Marra, Learning to solve problems with technology: A constructivist perspective. Prentice Hall, 2002.[4] J. van der Meij and T. de Jong, "Supporting students' learning with multiple representations in a dynamic simulation-based learning environment," Learning and Instruction, vol. 16, pp. 199-212, 2006.[5] B. Means, Y. Toyama, R. Murphy, M. Bakia, and K. Jones, "Evaluation of evidence- based practices in online learning: A meta-analysis and review of online learning studies," US Department of Education, 2009.[6] D. G. Elms and C. B. Brown, "Intuitive decisions and heuristics–an alternative
anecdotes was effective in drawing the attention of the classand throwing in a different element to the general engineering theory that was refreshing. Iappreciate the effort you put into engaging the students. […]” II-b) course-related EPsSome course-related activities were used to make the lectures more interesting and rich ofcontext, and keep the students engaged. As an example, a guest speaker was invited to give amini lecture on a real-life design problems on fatigue (one of the subjects of the course). Theguest speaker talked about a mining factory and the fatigue problem in the exhaust fans and howthey could solved the problem. It was so interesting to the students to see the equations they havejust learned, were used in a real-life
examples that relay to very basicdaily observations such as the relation between moving shadows to differentiation andintegration. (b) First order differential equation and time constant of first order system. Based onaccumulated teaching experience, some helpful examples are: (1) battery charging a mobilephone at different initial charging values, and (2) cooling rate of coffee. There are of coursemany other examples, but less related to students’ everyday experiences (e.g., radioactive decayand carbon dating). These ideas are shared so that instructors can use them to enhanceunderstanding of engineering-related math concepts, and to show their relevance.We refer to this approach as “work in progress.” When using the above examples (and
science, which requires systems thinking. This trans-disciplinary approach,bridging engineering education, sustainability, and neuroscience is meant to open new avenuesof research.References[1] K. M. Hymel, K. A. Small, and K. V. Dender, “Induced demand and rebound effects in road transport,” Transp. Res. Part B Methodol., vol. 44, no. 10, pp. 1220–1241, Dec. 2010.[2] D. Lee, L. Klein, and G. Camus, “Induced Traffic and Induced Demand,” Transp. Res. Rec. J. Transp. Res. Board, vol. 1659, pp. 68–75, Jan. 1999.[3] R. Cervero, “Road Expansion, Urban Growth, and Induced Travel: A Path Analysis,” J. Am. Plann. Assoc., vol. 69, no. 2, pp. 145–163, Jun. 2003.[4] R. B. Noland, “Relationships between highway capacity and induced vehicle travel
M i 1 (3) where ti ti 1 ti time increment, M i 1 M i m p ti , m p M P t B assumed constant (usually not sufficient info to do otherwise). 2 Thrust, Ti , is obtained from a thrust vs. time curve per the example given in Appendix A or an average thrust is used calculated from total impulse and motor burn time. Drag force is given by, Di 12 CD AVi 2 (4) where air density (assumed about constant over the trajectory
al., “A Conditional Reasoning Measure for aggression,” Organ. Res. Methods, vol. 8, no. 1, pp. 69–99, 2005.[17] E. G. Cohen, “Restructuring the Classroom : Conditions for Productive Small Groups,” Rev. Educ. Res., vol. 64, no. 1, pp. 1–35, 1994.[18] J. S. Bunderson and R. E. Reagans, “Power , Status , and Learning in Organizations,” Organ. Sci., vol. 22, no. 5, pp. 1182–1194, 2011.[19] E. G. Cohen, R. A. Lotan, B. A. Scarloss, and A. R. Arellano, “Complex instruction: Equity in cooperative learning classrooms,” J. Soc. Psychol., vol. 38, no. 2, pp. 80–86, 1999.[20] K. Ehrlenspiel, A. Giapoulis, and J. Günther, “Teamwork and design methodology— Observations about teamwork in design education,” Res. Eng. Des., vol. 9