attainment of the program’s learning outcomes and thesenior design projects.Bibliography1. Altuger-Genc, G. and Chassapis, C. Fostering Lifelong Learning in a Capstone Design Environment: An Implementation assessment. 41st ASEE/IEEE Frontiers in Education Conference. 20112. Beyerlein, S., Davis, D., Trevisan, M., Thomson, Ph, Harrison, K. Assessment Framework for Capstone Design Courses. Proceedings of American Society for Engineering Education Annual Conference, Chicago, IL, 20063. Bloom, B.S. and Krathwohl, D.R. “Taxonomy of Educational Objectives.” Handbook 1. Cognitive Domain. New York., Addison-Wesley, 19844. Cooley, W.L. Individual Students Assessment in Team-Based Capstone Design Projects. ASEE/IEEE Frontiers in
Excel Table (One Student’s HW) STUDENT # X DISCOVERY APPROACH RUBRIC COURTESY OF W. S. U. WASHINGTON STATE UNIVERSITY PULLMAN, WA. 99164. LIKERT SCALE WEIGHT : 5 4 3 2 1 STRONGLY AGREE AGREE UNDECIDED DISAGREE STRONGLY DISAGREE 1 Course Content and Subject Matter √ 2 Concepts
…half and half. Half of [theprofessors] will [not teach well], [the] other half are pure geniuses who actually genuinely careabout you.” While, Georgia from HBCU2 had a slightly more positive experience: …I came over [to this university before I enrolled], and I…was just browsing…I spoke with an advisor in the industrial engineering program, Ms. V. … [S]he was just so nice. She was caring. As soon as I came in, she [said], ‘Oh, we need you here. We need people here.’ And I [said], “Okay, okay.” I was at [another university] at the time, and I just felt like a number there. But as soon as I came here…they just automatically showed me that they cared.Georgia’s experience was similar to that of Carlos from HSI1
. (2010). How long can students pay attention in class? A study of student attention decline using clickers. Journal of Chemical Education, 87(12), 1438-43.3 Byrne, M. D., Catrambone, R., & Stasko, J. T. (1999). Evaluating animations as student aids in learning computer algorithms. Computers & Education, 33(4), 253-278.4 Chang, S. J. (2005). A Theoretical Discussion on Financial Theory: What Should We Teach and How?. Journal of Economics and Finance Education, 4(2), 39-48.5 Chiu, J. L., & Linn, M. C. (2008, June). Self-assessment and self-explanation for learning chemistry using dynamic molecular visualizations. In Proceedings from The 8th International Conference for the
also thank Neyda VanBennekom, Amelia Bickel, andNancy Lynch for their help with grant activities.Bibliography1. K. Cadwell and W. Crone, “Training Undergraduates in the Broader Context of the Research Enterprise,” ASEE Conf. Proceedings, 2008.2. D. Bahr, “A One Week Intensive Short Course for Introducing Lower Division Students to Undergraduate Research,” ASEE Conf. Proceedings, 2009.3. F. S. Laanan, “Transfer Student Adjustment.” New Directions for Community Colleges, 114: 5-13, 2001.4. T. G. Davies and K. Rita, “Vital Connections Transfer Program: learning the transfer process from the transfer student,” College Student Journal, 34 (3), pp. 409-416, 2000.5. S. Lipka, “Survey Finds Transfer Students Disengaged, but Some Colleges are
-year collaborations betweenadministrators, faculty, and staff in academia with local community partners. Each project isrequired to: (a) integrate the performing arts into the education, service, and scholarly missionsof the academy and engage chief academic officers and executive leadership; (b) provideopportunities to deepen and expand the participation of artist(s) in the academy through longterm residencies, commissions and/or other creative activities; and (c) identify, document, andshare lessons learned that will contribute to an evolving knowledge base and learning communityfor campuses and the wider performing arts and presenting field.17 This paper focuses on howwe accomplished (a) in partnership with the Learning Factory while also
educational outcomeswithout students having to spend sleepless nights in the campus computer room, or isolated inthe corner with their calculator, spewing numbers out. The contents of this paper weredeveloped over many years of teaching a variety of chemical engineering courses where use of Page 23.468.2process simulation facilitates the incorporation of real world design experiences into theclassroom.Background of Process Simulation at Mississippi State UniversityAt Mississippi State University (MSU), a discussion of the curriculum in the early 90’s focusedon numerical analysis tools and how best to educate students in their use. At that time
those of the authors and do notnecessarily reflect the views of the National Science Foundation.References[1] National Science Foundation, "Women, Minorities, and Persons with Disabilities in Scinece and Engineering: 2011. Special Report NSF 11-309," National Science Foundation, Division of Science Resources Statistics, Arlington, VA, 2011. Page 23.489.11[2] S. Kulis, et al., " More than a pipeline problem: Labor supply constraints and gender stratification across academic science disciplines " Research in Higher Education, vol. 43, pp. 657-691, 2002.[3] C. S. V. Turner, et al., "Faculty of Color in
parameters of the induction machine are: V, rated voltage, f, Frequency, p: number ofpoles; Re: Stator winding resistance; Xe: Stator leakage reactance; Rr’: Rotor winding resistancereferred to stator; s: Slip; Rr’(1-s)/s: Load resistance or effect of slip on the rotor; Xr’: Rotorleakage reactance referred to the stator; Gc: Conductance that represents iron losses; Bm:Magnetizing susceptance; and, Pm: Mechanical losses The graphic window of the torque-speedcurve is the fundamental tool of analysis of the virtual lab model, is composed of three parts: 1) Torque-speed curve; 2) Cursor adjustment of slip, load adjustment, (s); 3) Values of the variables of interest.The motor operating conditions, which can be analyzed with the model, are: a
., Griffin, P. M., Kirkman, R., & Swann, J. L. (2005). Engineering Ethical Curricula: Assessment and Comparison of Two Approaches. Journal of Engineering Education, 94(2), 9. 6. Boatman, L. (2011, 10 3). Engineering: Throwing our ethics into the trash (literally). (Berkeley Science Review) Retrieved 9 2, 2012, from http://sciencereview.berkeley.edu/engineering- throwing-our-ethics-into-the-trash-literally/ 7. Masters, K., & Pfatteicher, S. (2008). Lowering the Barriers to Achieve Ethics Across the Engineering Curriculum. ASEE Annual Conference. Pittsburgh, PA. 8. Perlman, B., & Varma, R. (2001). Teaching Engineering Ethics. ASEE Annual Conference. Albuquerque, NM. 9. Freeman, R., Johnaon, P., &
Science. After theCAD modules were converted into the ".dae" format, the digital source was sent to these twogroups to be imported into the VR tools so that the properties and functions were introduced. ME Department Develop Pass 3D Module Preliminary CAD Request Review? Model(s) No Yes No Email Yes
Academy of Sciences. Biological, social, and organizational components of success for women in academic science and engineering, 166-174.Washington, DC: The National Academies Press.7. Shibley-Hyde, A. (2007). Women in science: Gender similarities in abilities and sociocultural forces. In S.J. Ceci & W.M. Williams (Eds). Why aren’t more women in science? 131-145., DC: American Psychological Association.8. Spelke, E.S. & Grace, A.D. (2007). Sex, math, and science. . In S.J. Ceci & W.M. Williams (Eds). Why aren’t more women in science? 57-67 Washington, DC: American Psychological Association.9. Sheppard, S., Gilmartin, S., Chen, H.L., Donaldson, K., Lichtenstein, G., Eris, O., Lande, M., & Toye, G
collaborative instruction as classroom practice. The use of collaborative learning strategies has been around since the 1970’s. Research in this field during the 1980’s primarily focused on face-‐to-‐face collaboration in primary through higher education, but research on collaboration since the inclusion of the computers in the field has created a new area of research known as Computer-‐Supported Collaborative Learning (CSCL).10According to Krug (2001), “The success of collaborative learning opportunities must be judged on the basis of their process, purpose, and products. It is self-‐evident how process is related to collaboration, for classroom
. Prime J, Moss-Racusin CA. Engaging Men in Gender Initiatives: What Change Agents Need to Know.In: Research Reviews. New York, NY: Catalyst; 2009.8. Barker G, Greene ME, Goldstein-Siegel E, et al. What Men Have to Do With It: Public Policies toPromote Gender Equality. In: The Men and Gender Equality Policy Project. Washington, D.C.: InternationalCenter for Research on Women; 2010.9. Harper S, R., Harris III F. College Men and Masculinities: Theory, Research, and Implications forPractice. In. San Francisco, CA: Jossey-Bass; 2010.10. Kimmel MS. Masculinity as Homophobia: Fear, Shame, and Silence in the Construction of GenderIdentity. In: Harper SR, Harris-III F, eds. College Men and Masculinities: Theory, Research, and
females in engineering and because middle and high school femalestudents are more lik kely to see th hemselves beeing able to ssucceed as aan engineerinng student iff theysee a fem male engineering student only a few years y older tthan them suucceeding.7 Engineering E students s cannnot just join the Engineeering Ambasssadors, but instead areselected through t an application a and a interview w process. O Once selectedd, students eiither undergo athree-credit course orr training woorkshops. Du uring the
oxidation and pyrolysis) makes contact with biomass from the feeding chute. During the process, free moisture and cell- bound water in the biomass are removed by evaporation. The up-flowing gas mixture consists of 29% H2, 34% CO, 17% CO2, 15% CH4 and 5% H2O, all in mol %. If the heat transfer in this process is 108 kJ/s, the up-flowing gas mixture enters the heating zone at a steady rate of 350… Figure 2 Schematic diagram of an updraft gasifier Page 23.69.8 mol/s at 800oC, what is the temperature of the gas mixture leaving the heating zone? Solution: (omitted)【Homework Problems】 Totally 10
metrics within educational settings. Previous reviews of concept mapping theory andapplications include Ruiz-Primo and Shavelson’s investigation of concept map tasks17, responseformats, and scoring systems, and Besterfield-Sacre et al.’s overview of concept mapterminology, scoring approaches, and mapping applications in engineering2; both were excellentresources. We also examined Bayram’s weighted scoring system based on a map’s hierarchicallevels, propositions, and branches1, Ruiz-Primo and Shavelson’s work in assessing declarativeknowledge16, and Turns et al.’s exploration of the breadth, depth, and connectedness of conceptmaps19. From our review, it was evident that while concept mapping is fairly standardized as anactivity, the metrics used
, students will be able to develop problem-solving, criticalthinking, metacognitive, and social skills to better prepare themselves for professional careers.Finally, technology-enhanced PBL enables the instructor to provide a rich and active learningenvironment in which students can use necessary technology for their learning.Bibliography1. Leasure, A. R., Davis, L., & Thievon, S. L. (2000). Comparison of Student Outcomes and Preferences in aTraditional vs. World Wide Web-based Baccalaureate Nursing Research Course, Journal of Nursing Education, 39:149-154.2. Cole, R. A. (2000). Issues in Web-Based-Pedagogy: A Critical Primer. Westport, CT: Greenwood Press.3. Barrows, H. S. & Tamblyn, R. N. (1980). Problem-Based Learning: An Approach to
D VecitisJason Dyett, Harvard University, DRCLAS Jason Dyett is Program Director of Harvard University’s David Rockefeller Center for Latin American Studies (DRCLAS) Brazil Office. Since establishing the Office in S˜ao Paulo in mid-2006, he has worked to expand research and teaching opportunities for Harvard faculty and students and their Brazilian col- laborators across disciplines. Dyett first moved to S˜ao Paulo in 1996, after two and a half years at the DRCLAS in Cambridge. From 1997 to 2002, he established the office of the Economist Intelligence Unit’s telecommunications research division in Brazil and went on to gain experience growing technol- ogy companies in the country. He rejoined DRCLAS from the
design types. Following the initial enrollment of each subject the random sequence of photographswere taken in both the dark skin tone and light skin tone populations. Twenty-seven photographswere taken of each test subject in numerical order from the list of random numbers listed in theBox-Behnken matrix shown in Appendix A. Following each photograph, the matching scoregenerated by the VeriLook software was entered into the corresponding cell in the matrix.Results Scores from the Box-Behnken matrix were entered into the DOE PRO statistical analysissoftware. The results from the dark skin tone subjects (Mean, x = 385.65, and Standarddeviation, s = 143.18) showed an overall greater ability of the software to identify the subjectsover
PlayDoh container lidstaped to the motor hubs to act as wheels. Thelight sensor is mounted to the back of thevehicle with the aforementioned piece ofcardstock leaning against it to shade it. Once thelight sensor was exposed to light, it began tomove forward. On the front of the vehicle was afeature designed to insert itself into a receptacleon the next robot. Page 23.956.6 Fig. 3. Group 1's robot. (Photo by author) Fig. 4. Group 2's robot. (Photo by author)The fifth group’s robot was a drag sled, shown Fig. 5. Group 4's Robot. (Photo by author)in figure 7. In the receptacle feature on
price model was developed when I worked for Unocal Corporation in the1980’s. It is based on theories developed in finance and engineering economy that are similar tothe “discounted cashflow” method of stock evaluation (Rahgozar, 2008, Becchetti et all, 2004,Rawley et al 2006). When at Unocal, my colleagues and I in the strategic planning departmentbuilt a model to forecast the stock price of Unocal during the take over fight with T. BoonePickens (McCoy, 1985). We used the model to predict the change in the stock price asinformation was relayed to the investment community. It was very accurate and was extremelyhelpful in the take over defense.The point of this project, as it was in the case of Unocal’s stock price model, is not to develop amodel
(STEM) has become a majorconcern in the United States in recent years21,22. It is widely accepted that the United States’leadership position in the world relies largely on its scientific and technical expertise. In thistechnological era, as the demand for the workforce in the STEM fields continues to grow, moreinvestments must be made in STEM education to prepare enough scientists and engineers whowill create the innovations vital for the success of the U.S. economy. However, the currentoutput from the U. S. educational system is struggling to meet this exponentially increasingdemand for scientists and engineers25. The impending wave of retiring baby boomer STEMprofessionals will worsen the situation in the next few years44. The shortage in
could increasethe number of students in engineering if attraction rates were higher (or abstention lower).Examining alternate pathways such as the ones explored here can lead to a better understandingof how students enter and exit engineering, which can permit a more comprehensive view of theengineering student body, who composes it, how to attract and retain such students and how wemight engender a more diverse student body.AcknowledgementsThis work is supported by the National Science Foundation (NSF) through awards 0811194 and0935157. The opinions expressed in this article are those of the authors and do not necessarilyreflect the views of the NSF.References1 Ohland, M.W., Sheppard, S., Lichtenstein, G., Eris, O., Chachra, D. & Layton
said to be stationary allows the correlationbetween any two values of y taken from different time periods to depend on the difference aparton time between the two values for all t≠s. We first test whether the series used in theregression process is a difference stationary or a trend stationary. The Augmented Dickey-Fuller 𝑛(ADF) test is used to determine a unit root for the yt in the following equation ∆𝑦 = 𝛽1 + 𝛼𝑦 𝑡−1 + γ ΣΔy 𝑡−1 + ε 𝑡 𝑡=1 (2)where yt represents all variables (in the natural logarithmic form) at time t, Δ is the firstdifference operator. β1 is a constant, n is the
). Page 23.564.11Figure 1: Opinion off EXCEED students s on how h well thee program met m the primaary objectivees.The EXC CEED studen nts were alsoo asked to raate how well the program m accomplishhed morespecific learning l objeectives, Tablle 1. Studennt opinion inndicates the program p wass successful inmeeting the t specific learning objectives. Thiis data also indicated i thaat the studennts were not as
in micrrosystems beecause of thee high surfacce arrea to volum me ratio, • TheT no-slip condition maay not alwayss apply, and • Chemical C issu ues at the surfaces can afffect microscale fluid mechanics.This lectuure was desiigned to provvide a commmon background for studdents from thhe threeengineeriing disciplin nes; (all students had preeviously takeen a fluid meechanics couurse within thheirdepartmeent). It also supported new n materialls introducedd in other moodules.Laboratoory Module I: I Flow in Microchannel M s allowed a comparison
redesign of an electrictoothbrush, while a third section focused on rice cookers. Project requirements asked students to Page 23.1186.12use product archeology concepts during their designs, and document their work on this as part oftheir design reports.Assessment: Students were provided an optional test question (worth 17/102 points) to respondto the following questions: 1) Briefly explain what product archeology is, and how and for what purpose it can be used in support of designing, or redesigning a product. 2) Consider your team’s implementation of product archeology. Please circle from the options below on which GSEE issue(s
). Sydney, Australia: IEEE.10. Cole, D.J., Ryan, C.W., & Fran, K. (1995). Portfolios across the curriculum and beyond. Thousand Oaks, CA: Corwin Press.11. Cyr, T., & Muth, R. (2006). Porfolios in doctoral education. In P. Maki & N. Borkowski (Eds.), The assessment of doctoral educational (pp. 215-237). Sterling, VA: Stylus.12. Strivens, J. (2007). A survey of e-pdp and e-portfolio practice in UK Higher Eduction. Higher Education Academy. Retrieved from http://www.recordingachievement.org/higher-education/articles.html13. Lorenzo, G., & Ittleson, J. (2005). An overview of e-portfolios. Retrieved from http://www.educause.edu/LibraryDetailPage/666?ID=ELI300114. Delandshere, G., & Arens, S. A