survey research discussed in this article addresses agap in the literature by developing a quantitative approach to graduate student identitydevelopment in engineering, education, and engineering education. We explore graduatestudents’ perceptions of their multiple roles today and in the future, focusing on a) the actualroles they currently hold, b) the roles they desire to hold now and in the future, and c) the rolesthey believe they are expected to hold now and in the future.TerminologyThroughout this research key terms were used with distinct definitions in mind. First, the termidentity is used in terms of who a person is in the professional sense. For example, for graduatestudents and professoriate, identity often includes the roles of
,” The Journal of Experimental Education, vol. 62, no. 2, pp. 143–157, Jan. 1994.[7] K. Struyven, F. Dochy, and S. Janssens, “Students’ Perceptions About Evaluation and Assessment in HigherEducation: A Review,” Assessment & Evaluation in Higher Education, vol. 30, no. 4, pp. 325–341, Aug. 2005.[8] M. Zeidner, “Essay Versus Multiple-Choice Type Classroom Exams: The Student’s Perspective,” The Journal ofEducational Research, vol. 80, no. 6, pp. 352–358, 1987.[9] A. Ben-Simon, D. V. Budescu, and B. Nevo, “A Comparative Study of Measures of Partial Knowledge inMultiple-Choice Tests,” Applied Psychological Measurement, vol. 21, no. 1, pp. 65–88, Mar. 1997.[10] F. Lord, M. Novick, and A. Birnbaum, Statistical theories of mental test scores
Display Module K60 Input Power Filtering and USB Processor Control Circuitry Input/Output pins and ADC circuitryFigure 2: Proteus 2.0 controller diagram with main components. Solid outlined components aremounted to the back side of the PCB in Figure 3. Dashed components are mounted to the front. (a) (b) Figure 3: (a) Front side of Proteus PCB and (b) Back side of Proteus PCB.Instead of using
Paper ID #10257Problem Framing as a Teachable Skill: A Practical Approach to TeachingLeadership CommunicationDr. Kathryn A. Neeley, University of Virginia Kathryn A. Neeley is Associate Professor of Science, Technology, and Society in the Department of En- gineering and Society in the School of Engineering and Applied Science. She holds B.A., M.A., and PhD degrees in English from the University of Virginia and is a past chair of the Liberal Education/Engineering and Society Division of ASEE. In addition to undergraduate and graduate teaching of written and oral communication. Dr. Neeley has conducted research and
computer 256MB RAM and costs $25 and Modelnetworking. In addition, these networks B comes with 512MB RAM and costsmay take away from our freedom of web $35. There are several, Linux based,browsing by blocking different websites. operating systems available for the PiThey can also view every website that that can be downloaded online andone goes on while connected to their written on the SanDisk card. Eachinternet. All of these problems can be operating system has its pros and cons.solved by setting up a virtual private The one to choose from depends on whatnetwork (VPN). A VPN is a network a user wants to use the raspberry pi for.that uses encryption to securely connect The Pi operates at
of a given problem. The final class design project is used to assess this phase.Homework and quizzes values 20%, two tests 40% and the final class project 40% of the grade.Table 2 shows the result of the student assessment and Table 3 gives the result of studentperformance in one semester. Table 2: Student Assessment Result Energy Resource Management Student Assessment of Student Outcomes Proposed ABET Criterion Satisfied: a, b, d, f and g
that faculty now faced students,many instructors feel their interaction with students during problem solving is vastly improved.From the student survey results, it was clear most students preferred faculty use of tablets andDyKnow to traditional chalkboard based lectures. Students and faculty both reported likingTablet PCs but there was insufficient data to support general conclusions about their impact onteaching and learning. An initial comparison of grades from the first year DyKnow and TabletPCs were used to the previous year showed the distribution of A and B grades to very similar.This is probably to be expected, as it would not be expect that measurable change in the moretalented students’ grades would occur. What instructors found
be applied.Model 1: Box-Cox transformationBox-Cox transformation was applied to refine the model. After test, it was found that the square-root transformation Y' Y ( ˆ 0.5 ) maximize the likelihood function among 2, 1.75, ... , 1.75, 2 . Compared with Model 0, new model effectively reduced the curvatureand heteroscedasticity, as shown in Figure 2 (b): Residuals against fitted values of model 1.Therefore, we propose a new first-order model without interaction terms, which is model 1: Page 24.389.6 Y'i Yi 0 1 X i1 2 X i 2 ... 13 X i13 i
. Student clickson the shielding blocks placed on the table, which moves them next to a scale, allowing the student tomeasure their thickness. Next, clicking on the block moves it to the space between the radiation sourceand the detector. Counts can then be measured by setting the time interval and clicking on the counterbutton. Process is repeated for different number of shielding blocks; thus gathering data for differentthicknesses. Entire process can then be repeated for blocks made of different material. Figure 4 showsthe thickness measurement step. Figure 5 shows the lead shielding blocks, next to labels A, B, C, …, foruse in the shielding experiment. Figure 6 shows two of the shielding blocks placed in between theradiation source (on the left
. auroras by the multi-spectral auroral camera onboard the Reimei satellite, Earth, Planets, and Space, 60, 827–835, 2008.[5]. Archer J., H, Dahlgren, N. Ivchenko, B. S. Lancester, and G. TMarklund (2011), Dynamics and characteristics of black Aurora asobserved by high-resolution ground based imagers and radar, Int. J. RemoteSens., 32(11), 2973-2985.[6]. Akasofu, S. I. (1964), The development of the auroral substorm, Planet.Space Sci., 12, 273.[7]. Christon, S. P., Williams, D. J., Mitchell, D. G., Huang, C. Y., andFrank, L. A.: Spectral Characteristics of Plasma Sheet Ion and ElectronPopulations during Disturbed Geomagnetic Conditions, J. Geophysics.Res., 96, 1–22, doi:10.1029
Mailman and board chair Beth Kennedy for supporting thestudy. A special thank you to PedGames server administrator Hao Xu and to all of the PedGamesstudent programmers for their creativity, dedication and hard work.Bibliography1. Shaw, S., Boehm, Z., Penwala, H., and Kim, J., GameMath! Embedding Secondary Mathematics into a Game- Making Curriculum Proceedings of the American Society of Engineering Education, 2012.2. van der Meulen, R. and Rivera, J. (2013) Gartner press release. Online at http://www.gartner.com/newsroom/id/2614915.3. Moskal, B. and Skokan, C. (2007). An innovative approach for attracting students to computing: A comprehensive proposal. Online at http://www.nsf.gov/awardsearch
-campus. ForIUPUI, 6% of the student population resides on campus.2 For a traditional residential campuslocated within the same region, 38% of the students live on campus.1Nontraditional students: Students that possess one or more of following characteristics: a)entered / reentered education after a major break in their studies, b) are a minimum of 25 yearsold, c) possess “mature life experience” and/or d) possess an interest in expanding the foundationof their previous education or changing their area of expertise.3 Taking into account age alone,38.9% of this university’s (nontraditional campus) student population is 25 years of age or older.Used for comparison a nearby state institution (residential campus) enrolls a student body withonly 3.2
recognition (Craig & Douglas, 2000)” of studies and plans considered less critical in how to create, manage the relative concentration of the solution, and refresh the commercial brand MULTI-BRANDS (Lindgreen, Beverland, & Farrelly) The multi-brand strategy is a company using their ownexisting well-know brand to extension other well-known CONCLUSION [9] Fennis, B. M., & Pruyn, A. T. H. (2007). You are what you wear: Brand
concepts, thefoundations of the engineering design process, and professional skills like team work, leadership,and communication before they enter the workforce.15,16,17,18,19 ABET’s Criterion 3 addresses thetraditional STEM related skills (a-e) and professional skills (f-k).ABET Criterion 3. Student Outcomes: The program must have documented student outcomesthat prepare graduates to attain the program educational objectives.(a) an ability to apply knowledge of mathematics, science, and engineering;(b) an ability to design and conduct experiments, as well as to analyze and interpret data;(c) an ability to design a system, component, or process to meet desired needs within realisticconstraints such as economic, environmental, social, political
24.328.4analysis of five cases that are presented in the next section. Table 1: Categories of Development of a STEM Identity B: STEM C: University A: Faculty Engagement/ Stage Curricular/Co- Leadership/ Community Level Descriptor Curricular Activities Systems Faculty work independently on coursework, projects, etc. Little to no discussion on pedagogy
Paper ID #10217Use of a MOOC Platform to Blend a Linear Circuits Course for Non-MajorsDr. Bonnie H. Ferri, Georgia Institute of Technology Dr. Bonnie Ferri is a Professor and the Associate Chair for Undergraduate Affairs in the School of Elec- trical and Computer Engineering at Georgia Tech. She performs research in the area of active learning, embedded computing, and hands-on education. She received the IEEE Education Society Harriet B. Rigas Award.Dr. David Michael Majerich, Century for 21st Century UniversitiesMr. Nathan VerDon Parrish, Georgia Institute of TechnologyProf. Aldo A. Ferri, Georgia Institute of Technology
mechanical engineering majorsmixed. The course met twice a week during the 15 week semester, a 50 minute “lecture” and a160 minute laboratory session. The purpose of the course was three-fold: (a) help students makea good transition to college; (b) introduce students to engineering; and (c) prepare students forthe engineering curriculum by teaching them a number of basic skills.The online aspects of the course are delivered using PathFinder, a website developed at theuniversity. The course chapters are given in the PathFinder Plan Tab shown in Figure 1.Semester projects are used to reinforce course topics. Students work on the project during the labperiod. Projects are chosen by each instructor. Figure 1: PathFinder
Mass transfer lab (brewing coffee; factorial design)7 Connections to future courses Mass transfer lab, continuedThe most important feature of this half of the course is the structure of the laboratoryassignments. The laboratory prompts are kept to about ½ page in length, introducing a problemor concept and tasking students to develop a hypothesis, design and conduct an experiment,analyze data, and discuss the implication of the results. A sample assignment is provided inAppendix B. Each design group meets with the course instructor once a week outside of class fora 15-minute meeting to discuss the previous and upcoming lab and address group dynamicsconcerns. (7)A group
evaluation. Thousand Oaks, CA: Sage Publications.6. Patton, M.Q. (1987). How to use qualitative methods in evaluation. Thousand Oaks, CA: Sage Publications.7. Agresti, A., & Finlay, B. Statistical methods for the social sciences (4th ed.). Upper Saddle River, NJ: Pearson.8. Pascarella, E. T., & Terenzini, P. T. (2005). How College Affects Students: A Third Decade of Research (2 ed.). San Francisco: Jossey-Bass. Page 24.21.16
vibration results in air instead of species. fabrication flow. VI. VELOCITY VECTOR IN ANSYSThe flow velocity vector plot of the micro-fluid along MEMSmixer without perturbing the interface by resonant beam isshown in Figure4.7. Two species go into the inlet with aspecific speed and they slow down in the chamber. As we see,the two fluidics diffuse in the chamber but do not meettogether until near the outlet. The velocity is almost zero nearthe sides of the chamber because of the resistance. REFERENCES [1] Kamholz, A. E., Weigl, B. H., Finlayson, B. A. & Yager
Engineering and New Product Development, Prentice Hall, 2001.6. Singh, V., Walter, B., Krager, J., Putnam, N., Koraishy, B., Wood. K., Jensen, D. “Design for Transformation: Theory, Method and Application”, Proceedings of the IDETC/CIE 2007, ASME 2007 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, September, Las Vegas, NV, 2007.7. Linsey, J., Wood, K., and Markman, A., 2008, “Increasing Innovation: Presentation and Evaluation of the WordTree Design-by-Analogy Method,” Proceedings of the ASME Design Theory and Methodology Conference, New York, NY, 2008.8. Jensen, D. J., Weaver, J., Wood, K. L., Linsey, J., and Wood, J., “Techniques to Enhance
. Figure 3. A Conceptual Map of the Major Sources of Engineering Knowledge Figure 4 shows that the higher education learning goals for engineering, as outlined by theAccreditation Board for Engineering and Technology (ABET), align with the transdisciplinarymodel presented above in Figure 3. The engineering learning goals for modern day engineeringas listed by ABET32 are: A. An ability to apply knowledge of mathematics, science, and engineering B. An ability to design and conduct experiments, as well as to analyze and interpret data C
learning outcomes forcomplete a summative evaluation of teamwork projects by professional skills are well-defined in the literature, and manyconsidering: (a) individual behavior of each member within the institutions have incorporated them into their program goalsteam; (b) individual contribution of each team member to the and objectives as required by the accreditation boards (i.e.,project; (c) project process within the team; and (d) project ABET). In the final level, these rubric items are also organizedoutcomes. Some online tools such as SPARK [30] and CATME and reformulated in terms of the MDL components (i.e.,[16] have been developed to manage self- and peer- evaluations knowledge
onsist Modeling Representation ng? System (FBD, MAD) ro Path A: C rw Ri h B
given application 6) Use modern engineering tools (MATLAB) to compute simulation of transient fluids problemsOther course objectives include: 7) Communicate effectively to produce professionally-quality technical reports a. Free from spelling & grammar errors and typos b. Professionally formatted with clear and consise communication c. Figures & Tables are used to convey information effectively 8) Design and Conduct Experiments, and Analyze and Interpret Data a. Attend all labs b. Complete all necessary measurements c. Complete all analysis of data (as shown in Lab Reports) 9) Be a valuable member of a team that successfully completes a group project. This
Ethics 13: 463-487.17. Seely, B. (2005). “Patterns in the history of engineering education reform: A brief essay.” In Educating the Engineer of 2020 (pp. 114–30). Washington, DC: National Academy of Engineering.18. Borrego, M. and Bernhard, J. (2011). “The Emergence of Engineering Education Research as an Internationally Connected Field of Inquiry,” Journal of Engineering Education 100: 14-4719. Jesiek, B., Newswander, L. and Borrego, M. (2009). “Engineering Education Research: Discipline, Community, or Field?,” Journal of Engineering Education 97: 39-52. Page 24.807.1320. Downey, G. (2009). “What is Engineering Studies For?: Dominant
Paper ID #9198A Practical Approach to the Carnot EfficiencyDr. David C Zietlow, Bradley University Professor of Mechanical Engineering Page 24.89.1 c American Society for Engineering Education, 2014 Practical Approach to the Carnot EfficiencyBackgroundThe Carnot cycle is a valuable tool to help students and practitioners understand the theoreticallimits of heat engines, refrigeration cycles and heat pumps. Presented here is a practicalapproach to developing the Carnot efficiency for a heat engine and coefficient
filter and an op-amp,which transforms the signal to a DC voltage. The PCB permits 256 states of thrust.The next step is to identify and analyze motor response to input signals. The motor does notchange linearly to a linear change in percent modulation. The measurement data of the motorresponse is shown in Figure 4-a. This non-linearity is countered by using MATLAB® tocompare the actual motor values to a desired linear set of values ranging from minimum tomaximum motor current. The percent modulation, which corresponds to the desired current, isplaced in a look up table, which is represented in Figure 4-b. Finally, the motor values are bandlimited to 20% of maximum possible thrust. The thrust limitation is implemented because watertesting of the
water) had the slowest fill time (177 seconds). Students received aminimum of five of the ten points if they were able to complete the dead head pressure test,which in the Spring 2013 semester was all the groups. The remaining 5 points are distributedaccording to the combined score. Figure 6: Experimental setup: (A) Blower; (B) Air Mattress; (C) Nozzle fitted with a Page 24.254.8 pressure tap; and (D) Pressure transducer..Although the student groups who failed to complete the fill test were somewhat disappointed, allof the groups indicated a sense of accomplishment. Student feedback displayed some initialdoubt that they
catchphrase captures two motivating principlesof the course: first, that it is about building things, through hands-on lab and homework assign-ments and a final project; and second, that it involves making things better, by finding and thenaddressing a current product or interface design problem. In particular, the course strives to im-part the skills and knowledge described in Table 1. Desired Learning and Ability Outcomes a Identify, formulate and express real-world, contemporary design engineering problems; in particular, from a user’s perspective. b Apply the design and engineering skills, modern tools and techniques used by practicing engineers. c Gain familiarity and experience with properties of prototyping materials and