buttons of theonline survey tool, and for certain items provide a short answer response. The survey questionsaddressed students’ experience with: A) choosing a project prior to or during the Job Fair, B)participating in the Job Search/Selection process itself, and C) working on the project with teammembers since then. Some of these questions were adapted from the work of Orono and Ekwaro-Osire on assessing team formation,8 and others emerged naturally from the unique aspects of ourcompetitive approach. Figure 1 below shows the survey questions, including an introductoryheading explaining the purpose and confidentiality of student responses. Page
able to compare their outcomes. Through the comparison study, they will beable to better understand and appreciate software engineering testing concepts. Hopefully whenthey see the benefit, they will be more likely to take high level software engineering courses atthe later stage of their study. Because the testing was only introduced to the two classes with IDE experience, we wereable to collect more data points to show students’ progress after the learning of the testingconcept. We first had students working on a project, A, without any discussion of testingconcepts and we then introduced the concept of basic testing, followed by their work on anotherproject, B. 3.1 Four Measurements From each project, we collected the following
Page 24.612.6 7 Durability X 8 Easily storable/ assessable X X 9 Ability to effectively rake leaves X Table #2 – Customer needs specifications (An example of a student’s work.)See the matrix below to convert the customer needs to metrics: Concepts A B CMetric Collect in # Selection Criteria Pull rake bag Compress 1 Heavy raking head + + + 2 Total mass
” = Faculty, “PE” = Practicing Engineer, “DCP” = Domestic Construction Professional, “ICP” = Indigenous Construction Professional. “OP” = Other Professional (scientist, geologist, business), “B” = Beneficiaries, “NGO” = Non-governmental organization collaborator. Boldface Type = intense level of involvement likely.This relationship between DCP mentor and student is fostered by the give-and-take betweenthem during the design and implementation phases of a project and can be further enriched byDCP workshops given prior to travel. This workshop and relationship building process has beenutilized by the authors in preparation for several international project implementation trips.Table 3 lists potential workshop topics, many of which focus on
and Braun (2010) observed that many dyslexicstudents innately approach problems from a three-dimensional perspective2. So when a dyslexicstudent is presented with an unfamiliar object, he may have a natural ability and predisposition toexamine the object from various angles and perspectives in his mind, without ever movinghimself or the object. The ability to reason three-dimensionally may lead a dyslexic student to beable to view the opposite side of an object in his mind, based on observations concerning thefront of the object and his previous knowledge. This special reasoning skill is extremely usefulin engineering. Language, however, is two-dimensional; the tendency to reason in threedimensions can lead a “b” to look like a “d”, “p” or “q
,analysis of how assignments progress over time (process mining), and generating automaticfeedback to engineering students.11 Cloud-based documents like Google Docs have been used forcontinuous formal assessment.12,13This study presents the use of Google Docs in a large lecture environment (approximately 230students in each lecture) for bi-directional feedback on open-ended first year engineeringactivities. In this approach, the instructor may (a) observe the process students go through inaddressing a presented problem, and (b) pick out samples of student work while students areworking, rather than waiting until students have submitted it. The instructor can then presentsamples of work to the class, and provide feedback. This approach allows the
-semester point, you will be evaluating each team members’ participation (including yourself) from the beginning of the semester to now. You will provide a recommended grade (e.g., A, A-, B+, B, B-, C+, C, C-, D+, D, D-, F) next to each of your name and your colleagues’ names on the spreadsheet posted to Blackboard. You must also provide supporting prose for all responses, including yours on a separate Word document”.The students’ grades are meant to inform the final grade, and are not used as the soleassessment mechanism. At the end of the semester, during the final presentation, theinstructor assigns each group a grade, based on the final presentation, and thedeliverables from the entire semester. After the grades
sideport hole diameters are selected tomake a snug, leak-tight fit. Using tubing interconnections, the liquids can be delivered to the fluidiccircuit with a pipette or a syringe, actuated either manually or with a programmable syringe pump. (a) (b) Figure 1: (a) SolidWorks desgin of chip and (b) fabricated chip in acrylicChip Design and ManufacturingThe microfluidic chips are fabricated as three layer laminates comprised of a middle layer that featuredthe fluidic circuit and top and bottom layers that enclosed it. The middle layer is designed inAutoCAD and then sent to a prototyping machine. It can be prototyped using several differentmethods but in this case a
) Male White High Midwest – Mr. A Male White Mid-High Female White Low Female White Low Female White Mid Midwest – Mr. B Male White High Female White Mid Female White High Male White Mid-High
remaining engineering courses was of particularinterest. How comfortable are you solving engineering design problems that ensure biological requirements? a) They are easier than almost any other design problems. b) A bit easier than almost any other design problem. c) Can't say. d) A bit more difficult than almost any other design problem. e) Much more difficult than almost any other design problem.This question was designed to detect any change in comfort at working with design problemsthat incorporate both biology and thermodynamics. The students were given such a problem inthe 2D week, and so if the students were capable, their comfort level should
competition was designed by the instructor torequire both teams to use results and procedures from earlier experiments (Table 2). Each teamwas required to make several design decisions and work effectively as a team to minimize thetotal treatment time.Each team was provided with the following supplies: • Two coagulants (A and B): polyaluminum chloride and aluminum sulfate • Potassium Permanganate, KMnCl4 • Chlorox Bleach (5.25% Sodium Hypochlorite) • Powdered Activated Carbon (PAC) solution (concentration not specified) • Sodium Hydroxide (0.02 N) Page 24.304.9 • Sulfuric Acid (0.02 N) • Sodium Bicarbonate (NaHCO3) powder
Page 24.550.4some creativity) was used (Fig. 1b) to highlight key features of the bridge truss shown and aid inrelating the photograph to course material. (a) (b)Figure 1: Student submitted photographs of a bridge truss both (a) without and (b) with annotation. Page 24.550.5Other student submissions, such as shown in Fig. 2, included self-constructed free body diagramsto help explain the subject of the submitted photograph. The inclusion of this additionalinformation suggested that the student was thinking critically about the situation depicted in
students (enhancing outcome i), andallowing the students to comprehend contemporary issues in stormwater system design(enhancing outcome j). The design of a bio-infiltration pond and associated monitoring systemalso requires the students to develop a set of experiments that can be applied consistently byfuture students to monitor the effectiveness of the pond (enhancing outcome b). Finally, thestudents must effectively communicate with local stormwater managers to ensure that theirdesign is meeting jurisdictional needs (enhancing outcome g). Overall, this senior design casestudy project satisfies the necessary ABET student outcomes, while allowing the students toachieve a few of the outcomes (b, c, g, i, and j) at a higher level when compared to
Transactions on, 44(1), 67-75.11. Yadav, A., Shaver, G. M., & Meckl, P. (2010). Lessons learned: Implementing the case teaching method in a mechanical engineering course. Journal of Engineering Education, 99(1), 55-69.12. Bell, P., Lewenstein, B., Shouse, A. W., & Feder, M. A. (2009). Learning science in informal environments: People, places, and pursuits: National Academies Press.13. Bordogna, J., Fromm, E., & Ernst, E. W. (1993). Engineering education: Innovation through integration. Journal of Engineering Education, 82(1), 3-8.14. Bransford, J. (2007). Preparing people for rapidly changing environments. Journal of Engineering Education, 96(1), 1-3.15. Duffy, J., Barington, L., Moeller, W., Barry, C., Kazmer
interviews weregiven $20 for their participation.This paper uses a collective case study methodology to explore the motivations of those studentswe define as “accidental engineers,” those who began their studies in a non-engineering majorand subsequently switched to an engineering major. The collective case study is an “instrumentalstudy extended to several cases which…may not be known in advance to manifest the commoncharacteristic,”8 in this case being accidental engineers. Quotations have been modified toimprove readability by deleting verbal crutches, such as “um” and “you know” and false starts,and edited for clarity. We have assigned pseudonyms to the students, advisors, MIDFIELDschools (A-State, B-State, C-State, D-State), and programs to
Page 24.290.8beforehand. Asking students to judge their filters and decide when they meet their requirementsis good practice for them. (a) Filter order 16. (b) Filter order 100. (c) Logarithmic plot, showing a rejection of approximately 10−3 for an order-16 filter, and 10−4 for a 100-order filter.Figure 2. Plots of desired and obtained filter responses. The filters were designed using Matlab’s fir2command.How to choose the filter order? Increasing the filter order is the most straightforward way to tryto improve on a filter’s response. However, most filter design algorithms (such as Remez) exhibitdiminishing returns when the order increases too much
cuberepresents a different process in aCarnot cycle. The top and bottom ofthe cube represent the hot and cold Figure 4: Student art example: Entropy comic by Alexreservoir for the cycle. The students Varvel.were inspired by the perfect squareshape representing the Carnot cycleon a Temperature-Entropy phase dia-gram. Page 24.1260.6 (a) (b) Figure 5: Student art example: Carnot’s Cube by Jonathan Harper and Alvaro Garay.Table of TablesA student group used copies of thethermodynamics steam tables to con-struct a small table. This sculpturewas titled Table of Tables and wasa clear favorite with the
Closed-book Exams on Student Achievement in an Introductory Statistics Course. PRIMUS. 2. Dickson, K. L., & Miller, M. D. (2005). Authorized crib cards do not improve exam performance. Teaching of Psychology, 32, 230-233. 3. Erbe, B. (2007). Reducing test anxiety while increasing learning: The cheat sheet. College teaching, 55(3), 96–98. doi:10.3200/CTCH.55.3.96-98 4. Funk, S. C., & Dickson, K. L. (2011). Crib card use during tests: Helpful or a crutch? Teaching of Psychology, 38, 114-117. 5. Gharib, A., Phillips, W., & Mathew, N. (2012). Cheat Sheet or Open-Book? A Comparison of the Effects
STEM career areas, including engineering, in similar groupings or “clusters.”The analysis was run on every combination of gender or race/ethnicity, school-level, andinitiative, and findings revealed that all student groups perceived the STEM careers in either twoor three consistent clusters (see Appendix A-B for dendogram representations of results). Somestudent demographic sub-groups understood the careers in two, main clusters: a “core STEM” Page 24.1114.6career cluster and a “biological and medical sciences” career cluster. Other demographic sub-groups groups perceived the careers in three clusters: “core STEM,” “biological sciences
T.D., & Won, S. (accepted, in press).Studio STEM: Looking for learning in all talented team of graduate and Featuring the Save the undergraduate research assistants.the right places in after-school spaces.Submitted to Research in Science Education. Animals Engineering Teaching Kits forSchnittka, C.G., Brandt, C., Jones, B., &Evans, M.A. (2012). Informal engineering Grades 6-8education after school: A studio model formiddle
, Graesser A. Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments. In: Proceedings of the 2007 Conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work. Amsterdam, The Netherlands, The Netherlands: IOS Press; 2007:161–168. Available at: http://dl.acm.org/citation.cfm?id=1563601.1563631. Accessed December 12, 2013.19. Pang B, Lee L. Opinion Mining and Sentiment Analysis. Found Trends Inf Retr. 2008;2(1-2):1–135. doi:10.1561/1500000011.20. Bollen J, Mao H, Zeng X. Twitter mood predicts the stock market. J Comput Sci. 2011;2(1):1–8. doi:10.1016/j.jocs.2010.12.007.21. Salathé M, Khandelwal S. Assessing Vaccination Sentiments with Online
fairness, is given inFigure 6. We observe in a) that a mutex may be unfair if the lock is obtained just after beingreleased, while chained semaphores in b) produce a pattern that resembles a checkerboard.However, if the critical section is short and frequent, a simple mutex is much faster on av-erage than the perfect fairness achieved with chained semaphores, where a context switch isforced at each cycle. Understanding the fine differences between lock types, clearly exposedby looking at their detailed behavior, would be hard to achieve without tracing. (a) Blocking mutex (b) Spinlock running in userspace Figure 5: Difference between mutex and spinlockThe
Page 24.296.5velocity graphs as a function of distance in the venturi meter, questions 3B and 3C on theinterview protocol. The student from 2012 changed her answer to question 302 after initiallyindicating both pressure and velocity increased through the meter.“I don’t know if that’s a trick question. I mean I guess it’s not a trick question, but… I’mwondering now if I was wrong before, because it seems to me that there shouldn’t be anydifference in energy between the two of them, so possible going back to my assumption that bothincrease from A to B, one of those could be flipped, and that would be why there’s no energydifference between point A and B.”This response indicates the student was synthesizing information and connecting her
. The batteryprovides electrical current that travels through the wire into the coils thus magnetizing the EM.Once the EM is temporarily magnetized, the hammer is then attracted to the EM andsimultaneously strikes the bell. Once the hammer has made contact with the EM, the circuit isthen opened due to the discontinuity between the bell and metallic ring, and the EM is no longermagnetized enough to hold the attraction of the hammer, thus the hammer returns to its originalposition, re-closing the circuit and starting the whole process over again. a b c Figure 1: Electric bell. (a) Underlying circuit (b) Conception (c) RealizationThe current module, i.e. the tunable
perceived their ability to resist oppressive structures inschools.” (p. 911). Else-Quest, Mineo, and Higgins (2013) also found influence of years living in Page 24.668.6the U.S. in attitudes and achievement among High School students. 5The solutionsConsequently, the solutions to the misrepresentation of Latinos in engineering found in theliterature are aligned with (a) Support and preparedness at the pre-college levels, starting at very early stages of development, (b) Grants and financial aid available for Latinos, (c
A B 54.85 Low Low A B 52.57 Low High B 52.14Commitment to College: Regression analysis in figure 10 shows that GPA is positivelycorrelated to commitment to college, the measure of students’ determination to stay in collegeand obtain a degree. Students with higher than average high school GPAs are more focused onlong-term success in college than their lower GPA peers. As with the Academic Self-Confidence measure, only high school GPA was significant in this analysis. Page 24.405.11 Figure 10. ANOVA
student learning gains in science, mathematics and technology/engineering.The pre-assessment was comprised of 30 multiple-choice questions – 10 each in science,mathematics and technology/engineering. Experts in each discipline wrote a bank of 20questions for both the middle school and the high school levels, and 10 questions in each subjectwere chosen for the pre-assessment. (See Tables 5 and 6 for student performance results andAppendix B for sample questions.) Page 24.1180.8It was realized late in the pilot year that some of the items on the high school pre- and post-testswere incorrect. Pilot teachers were notified of the mistake, but
received waveforms. Software radio hasled the trend in the wireless communication arena to design and build wireless communicationsystems using reconfigurable software rather than fixed hardware. We see this as an opportunityfor STEM education innovation by bringing in this new technology within a limited budget. Transmitter Software Based RF Frontend Communication DAC Receiver RF Software Based Frontend Communication ADC Figure 1. SDR (a) A typical SDR diagram; (b) A USRP board.We have
environments. In 29th EUROMICRO Conference 2003, New Waves in System Architecture, pages 267–272, Belek-Antalya, Turkey, Sept. 2003. IEEE Computer Society. [3] G. Booch, J. Rumbaugh, and I. Jacobson. The Unified Modeling Language User Guide. Addison-Wesley, 1999. [4] W. Coelho and G. Murphy. ClassCompass: A software design mentoring system. ACM Journal on Educational Resources in Computing, 7(1):Article 2, Mar. 2007. [5] C. R. B. de Souza, H. L. R. Oliveira, C. R. P. da Rocha, K. M. Gonc¸alves, and D. F. Redmiles. Using critiquing systems for inconsistency detection in software engineering models. In SEKE, pages 196–203, 2003. [6] A. Egyed. UML/Analyzer: A tool for the instant consistency checking of UML models. In Proceedings
replaced or the one (or two) of the DC power supplies couldbe made available for students to use to complete the exercise. The impact of the use of this kitto student outcomes has not yet been assessed and is planned in future work.1. H. Klee and J. Dumas, “Theory, simulation, experimentation: an integrated approach to teaching digital control systems,” Education, IEEE Transactions on, vol. 37, pp. 57-62, 1994.2. K. A. Connor, B. Ferri and K. Meehan, “Models of mobile hands-on STEM education,” in 120th ASEE Annual Conference and Exposition, Atlanta, GA, 2013.3. D. Millard, M. Chouikha and F. Berry, “Improving student intuition via Rensselaer’s new mobile studio