Figure 3b, students are testing various shapes anddensities of fire briquettes to better understand burn time, heat output, and smoke or sootproduction. The final products of the students’ designs demonstrate the results of their testing anditeration.Students who completed the first offering of the course were given an open ended surveyregarding their primary takeaway from the course and how the course has influenced their viewsof society and the role of engineers within it. Student responses (n=27 of 35 enrolled students)were qualitatively coded and sorted into broad themes as described below. (a) (b)Figure 2: Examples of students testing the paper-concrete brick making using both
Multiple Identity science, (2) the rules that govern the behavior of an engineer, and (3) the Theory environmental setting of the institution in which one learns to become an engineer. It is this latter factor that we have examined in this study.”Godwin (no specific Identity is composed of students’ perceptions of their performance/competence, Hazari (2010)32,(2013a;b)29; 30 Identity theory) recognition, and interest in a domain. (p. 1) Cass (2011)23, Potvin (2011
session In the camp, the girls had the great opportunity to meet two female presidents who are blazinga path for women in their fields, – Carolyn Long, President of WVU Tech and the new WVUcampus in Beckley, and Millie Marshall, President of Toyota Motor Manufacturing WestVirginia. In two separate sessions, these pioneer women shared their experiences anddemonstrate the many opportunities for women in the workplace.Figure 3: In “Meet the President Session” the participants are with (a) WVU Tech president Ms. Long and (b) Toyota Motor Manufacturing West Virginia president Ms. Marshallb) Academy speaker series The STEM Summer camp for Girls invited female speakers from STEM to meet with studentsand share their stories from the
532 299 18 434 A 41.69 42.81 57.50 40.80 56.36 40.00 44.68 B 26.78 25.00 19.06 31.77 19.39 35.00 32.55 C 12.20 11.25 12.19 11.46 7.27 10.00 9.79 DFW 19.32 20.94 11.25 15.97 16.97 15.00 12.98DFW – Students received either a D or an F in the course or withdrew from the course after the drop date.In addition to the average scores, online surveys taken during the semester
=−∞ Fs () F ()/Ts … … -S -B B S Figure 10 – Scaled frequency spectrum of a continuous signal (solid line) and the frequency spectrum, Fs (), of its sampled version.Under these conditions, it should be clear that in order to reconstruct/retrieve the continuous signalfrom the corresponding discrete/sampled signal, the sampling frequency, S, needs to be at leasttwice as large as the largest frequency, B, of the (frequency spectrum of the) continuous signal.Otherwise, overlap may occur between the
1b.Figure 1. (a) Hydrocolloid visualization immediately upon being mixed into solution. (b)Hydrocolloid particles after being hydrated. The tightly bound particles unwind and thicken thesolution.9The molecular structure of Xanthan gum, Figure 2, was shown to the class before the explanationof how it works as a thickener. Students up to this point had only minimal experience withchemical structures, but they had learned about chemical symbols and the periodic table. A classdiscussion was held asking students to list what they recognized based on the chemical structure.The students were able to identify oxygen, hydrogen, bonds, and the negative charge. Hydrogenbonding was discussed as a primary reason for the hydrophilic nature of the xanthan
in the course were going well and smoothly in terms of the fund collecting.At the end of this course, each group has to attend the annual projects exposition and competition.A 4-page project summary needs to be submitted for the judges in competition. Poster display,exhibition, and oral presentations are required to demonstrate the achievement of the projects.Awards and certificates of merit are prepared to praise the achievement of the winners.The Creativity Evaluation TestThe TTCT, first developed by E.P. Torrance in 1966, has been the most widely used test ofcreativity and is the most referenced of all other creativity tests. It consists of two parts, theTTCT-Verbal and the TTCT-Figural, and each one has two parallel forms, A and B. The
circuit’s loops becomes irrelevant. Thisis equivalent to choosing the known resistance in the circuit in a way that makes the currentflowing between nodes A and B equal to zero (that is the same as having VA=VB). In this way wecan “solve” the circuit using the voltage divider rule. 𝑅! 𝑅! = <=> 𝑅! 𝑅! = 𝑅! 𝑅! 𝑅! + 𝑅! 𝑅! + 𝑅!Example 2: Switched capacitor circuitsSwitched capacitor circuits are often considered an advanced topic and are rarely covered inintroductory electrical circuits courses. In reality this class of circuits is extremely useful andfind extensive application in most of today’s high-performance
of engineering students in technical drawing from visualization test scores", Journal of Geometry and Graphics Vol. 6, No. 1, 2002, pp. 99- 109.9. Veurink, N., and Sorby, S.A., “Raising the Bar? Longitudinal Study to Determine which Students Would Most Benefit from Spatial Training”, ASEE Annual Conference, Vancouver, B.C., Canada, 2011.10. Hill, C., Corbett, C., and St Rose, A., “Why So Few? Women in Science, Technology, Engineering, and Mathematics”, ERIC, 2010.11. Sorby, S., A., Wysocki, A. F., and Baartmans, B. J., “Introduction to 3D Spatial Visualization: An Active Approach (Book and CD), Published by Delmar Cengage Learning, 2003.12. Sorby, S.A., "Educational research in developing 3-D spatial skills for engineering
standard deviation of 1.28. The three open-ended laboratory modulesincluded the toaster oven, the wind tunnel, and the boiler project. For these laboratory modulesthe average response was 4.33 with a standard deviation of 0.94 indicating the students clearlyperceived the experiment as primarily in their hands without a predefined outcome. For the ovenmodule the average was also 4.33 with a standard deviation of 1.04, confirming that the ovenmodule as perceived by the students to give them a great deal of control over the experimentoutcomes. 8 (a) (b)Figure 3. The student responses to the question, “How much control did you have over
DevelopmentBased on the literature review on leadership theories and development, six factors necessary forengineering students’ leadership development were considered for assessing leadership self-efficacy: (a) leadership opportunity, (b) goal setting, (c) team motivation, (d) innovative changes,(e) ethnical action and integrity, and (f) engineering practice. Table 1 describes the definition ofeach construct.Table 1. Six Factors that constitute the Leadership Self-efficacy Scale for Engineering Students Construct Definition (Abbreviation) Leadership Opportunity Students’ personal belief in their ability to develop their own (LO) leadership by taking the initiative in a team. Goal Setting
test, wax Test the strength of Relate p atterns to Test baskets with wet paper s amples and and water test dry/wet p aper with rocks weaving, create a and d ry rocks and Activities sort u sing those basket p lan, b uild a communicate properties modelLesson Summaries• Lesson 1 – After being introduced to the engineering
1 we see that the dynamic inverter has a logical effort of 1/3 less than the static inverter.Since logical effort is used for sizing estimations of each component, I have included the tablebelow where N=number of inputs.3.1 Logical Effort Table 1: Logical effort per input of (a) and (b) (a) Static CMOS gate (b) Dynamic CMOS gates4. TRANSISTION SIZING USING INPUT DATA PROBABILITYModern electronic system designers should consider non-traditional levels of abstraction such asinput data probability profiling to achieve high performance and manage power loss. Since theswitching activity of a logic gate is a strong function of the input signal statistics, systemdesigners can use this
the techniques, skills, and modern engineering tools necessary for engineering practice.Design Skills Ability to design and (b) an ability to design and investigate conduct experiments, as well as to analyze and interpret data Understand the nature of (c)an ability to design a system, science component, or process to meet
: 1. Is there consistent results for the overall model score between the three raters? 2. Are there consistent results for the individual categories between the three raters?MethodologyDuring the Fall 2015 semester, 51 technology students completed the second exam in anintroductory engineering graphics course on the 15th day of class. The exam consisted ofmultiple-choice and matching items used to assess textbook information related to introductoryconstraint-based modeling. The exam also included two constraint-based modeling activities(Figures 2 & 3). For the two activities, students were asked to model the objects with the givendimensions first. They were given the correct values for the distance between points A & B, thearea of
. The course map module was the leastreal-life type project from students’ viewpoints.As explained earlier, in the KEEN approach, an entrepreneurially minded engineer developsabilities in business acumen, understanding customer needs and societal values and possessestechnical depth [2]. In the survey, the students were asked to assess the effectiveness of each ofthe proposed modules based on 7 complementary skills extracted from KEEN pillars. Theseskills are as follows: a) Market study and investigation b) Opportunity identification c) Assessment and evaluation of solutions for technical feasibility, and societal and economic benefits d) Communicate engineering solutions in economic terms e) Collaboration and team building skills
project– one that not only exercised the capabilities of the microcontroller, but also related to their ownfield(s) of endeavor. These team proposals were then evaluated and adjusted based on a) whetherthe project was too trivial; b) whether the project was overly complex for the scope of the course;and c) whether (hardware) resources were available to fulfill the project.Team projects make use of sensors and actuators that the students have had to identify during theplanning phase. Each team is in charge of its project design with the advice of the lab assistantsand the instructor. As part of the project, each team had to become familiar with sources forsensors or components for their projects. The predominant source of such components
Paper ID #14470Encouraging Student Innovation in a Freshman-Level Computer Science CourseMs. Cynthia C. Fry, Baylor University Cynthia C. Fry is a Senior Lecturer of Computer Science and the Director of the Computer Science Fel- lows program at Baylor University. She teaches a wide variety of engineering and computer science courses, deploys a series of faculty development seminars focused on Curiosity, Connections, and Cre- ating Value, and works collaboratively and remotely with a series of colleagues on the development of EML-based courses. She is a KEEN Fellow.Dr. Kenneth W. Van Treuren, Baylor University Ken Van
Figure 1: Thought experiment for convection from a lightbulb. (a) (b) (c) (d) (e) TFigure 2: Choices for trends in temperature versus voltage input for the lightbulb thought experiment. Which of these describes plausible trends for T = f (V ) when the oncoming air velocity and temperature are constant, and V is the voltage applied to the lightbulb?V . Suppose we conduct the experiment where V is varied and the temperature of the lightbulbis measured. Which of the plots in Figure 2 represent the trend of T as a function of electricalpower input P = V 2 /R? Remember that the air temperature and air velocity are assumed to beconstant.Using our physical
including SMCC ME teams toassess the progress and quality of the student capstone projects. At the final quarter presentation,all faculty, project sponsors and TAs in attendance were given a grading rubric seen in AppendixB. Scores were compared by implementing a quantitative scale (excellent =5 to poor = 1).Using these scores and after an ME faculty discussion, the teams were separated into threegroups (a) over-performing expectations (b) performing-as-expected (c) under-performingexpectations. Student grades were based on group rankings.Table 3: Data collection instrumentsInstrument Nature Population 1 Closed Ended survey- ME capstone 71 ME seniors enrolled in ME capstone student
, H. M. Matusovich, C. J. Atman, R. Streveler, and R. Miller, “Work in progress: Engineering Pathways Study: The college-career transition,” Proc. Ann. Frontiers Educ. Conf., Rapid City, SD, 2011.[10] S. K. Gilmartin, A. L. Antonio, S. R. Brunhaver, H. L. Chen, and S. D. Sheppard, “Career plans of undergraduate engineering students: Characteristics and contexts,” Alfred P. Sloan Foundation Conf. on U.S. Engineering in the Global Economy, National Bureau of Economic Research, Cambridge, MA, 2011.[11] S. D. Sheppard, A. L. Antonio, S. R. Brunhaver, and S. K. Gilmartin, “The early career pathways of engineering students,” in Cambridge Handbook of Engineering Education Research, A. Johri and B. Olds, Eds. New York, NY
mediated by various factors. In the investment theory (Sternberg andLubart9, 10), creativity requires a confluence of six distinct but interrelated resources (Table 1):intellectual abilities, knowledge, styles of thinking, personality, motivation, and environment. Table 1. Resources for creativity from the investment theory9, 10 Intellectual Three intellectual skills are particularly important: (a) the synthetic skill to see problems in new skills ways and to escape the bounds of conventional thinking, (b) the analytic skill to recognize which of one’s ideas are worth pursuing and which are not, and (c) the practical–contextual skill to know how to persuade others of (to sell other
College Press, 2008).4. Follmer, D. J., Zappe, S. E., Gomez, E. W. & Kumar, M. Preliminary evaluation of a research experience for undergraduates (REU) program: A methodology for examining student Outcomes. in 2015 122nd ASEE Annual Conference and Exposition, June 14, 2015 - June 17, 2015, (American Society for Engineering Education, 2015).5. Magolda, M. B. B. Making their own way: Narratives for transforming higher education to promote self- development. (Stylus Publishing, LLC., 2004). at 6. Hunter, A.-B., Laursen, S. L. & Seymour, E. Becoming a scientist: The role of undergraduate research in students’ cognitive, personal, and professional development. Sci. Ed. 91, 36–74 (2007).7. Nadelson, L. S., Warner, D. &
disciplinary boundaries and increasingtransdisciplinary cooperation and understanding, (b) enhancing engineering students’ abilityfor teamwork and communication, and (c) developing engineering students’ creativity atsolving engineering problems in innovative and comprehensive ways. It has been largelyrecognized in most parts of the world that engineers today need to be equipped with not onlythe engineering skills traditionally defined in engineering professions but also a broaderunderstanding of social, economic, environmental, and legal aspects in order to cope withincreasingly complicated problems ahead.11 Engineering disciplines, therefore, are urged toopen up boundaries, collaborate with a wide range of disciplines, and consolidate non-engineering
., gender, age)? External Comparison Whether the study compared PLTW to non-PLTW participants If so, what? What were the comparative variables used (e.g., math ability)? PLTW Support Whether the results supported Project Lead the Way Curriculum5. ResultsIn total, we collected, retained, and analyzed 31 articles pertaining to PLTW. Appendix A showsan overview of these articles. In this section, we explore (a) the year of publication, (b) the statesincluded, (c) the participants investigated, (d) the research foci, (e) the research methods utilized,and (f) the sample sizes within and across the studies. Next, this section explores each article asgrouped according to three variations: (a) studies that included an internal or
the support of the work that led to thispublication.References[1] L. D. Feisel and A. J. Rosa, “The Role of the Laboratory in Undergraduate Engineering Education,” Journal of Engineering Education, vol. 94, no. 1, pp. 121–130, Jan. 2005.[2] J. G. Balchen, M. Handlykken, and A. Tyss, “The need for better laboratory experiments in control engineering education,” in Proc. 8th IFAC Triennial World Congress, Kyoto, Japan, 1981.[3] O. Boubaker, “The inverted pendulum: a fundamental benchmark in control theory and robotics,” in Education and e-Learning Innovations (ICEELI), 2012 international conference on, 2012, pp. 1–6.[4] B. Taylor, P. Eastwood, and B. L. Jones, “Development of a Low-cost, Portable Hardware Platform to
engineering librarians in thoseservices. The study involved the engineering librarians at all United States Class 15 (Very HighResearch Activity (RU/VH)) and Class 16 (High Research Activity (RU/H)) institutions per the2010 Basic Carnegie Classification of Institutions of Higher Education. The Classifications DataFile can be obtained at http://carnegieclassifications.iu.edu/2010/resources/. IRB clearance forthe survey was obtained from both [university A] and [university B]. The authors gathered the e-mail addresses of the engineering librarian(s) by inspection of the library website of eachinstitution. The survey was meant to elicit responses from a population that include theengineering librarians at all doctoral degree granting institutions
difference.For Metric #2, however, the grade distributions (90% and above = A, 80% and above = B, etc.),shown in Fig. 1, are different in Fall 2014 and Fall 2015. Grade Distribution, % 60% 50% 40% 30% Fall 2014 Fall 2015 20% 10% 0% a b c d Figure 1. Students grade distributionAfter introduction of additional active learning, problem-based techniques, the percentage of Agrades increased from 19% to 25%, the percentage of B
Paper ID #16190Enculturation of Diverse Students to the Engineering Practices through First-Year Engineering College ExperiencesDr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne National Lab, 1996-1997, Chicago State, 1997-2002. Dr. Richard is a Sr. Lecturer & Research Associate in Aerospace Engineering @ Texas A&M since 1/03. His research is focused on computational plasma modeling using spectral and lattice
: Proportional ICAP time of total activity for each student category time spent on the course for each student categoryAs shown in Figure 1(a & b) the students in the p_hi_hi strata spend more time engaging with alltypes of activities compared to the students in the p_lo_hi strata. Preliminary analysis suggeststhat students with high total time and high grades spent more time proportionally on interactiveactivities. This corresponds to the assertion of Chi’s ICAP hypothesis that participation inInteractive activities leads to better student performance over all other types of activities.The p_lo_lo and f_hi are two important groups to compare, because though the