students fullycompleting both the pre- and post-tests. A Conceptions of Design Test (CDT) was used tocharacterize changes in learners’ prioritization and understanding of 20 design activities from“analyzing data” to “using creativity” (see Table 1). The instrument included three sets ofquestions: (a) given the list in Table 1 (in alphabetical order to reduce response bias) “select thefive most important and five least important concepts for producing a high quality design”, and(b) “for one of the five terms you marked as most important for producing a high quality, pleaseexplain why you believe it is important.” (c) “for one of the five terms you marked as leastimportant for producing a high quality, please explain why you believe it is not
related tothe subject matter taught in statics, which the students would have taken previously. This waspurposefully done to examine the long-term retention of the content. Students were also asked toself-report their instructor from statics.Instructor A at University A began each lecture in statics by presenting a concept map ofconcepts relevant to that day’s lecture, highlighting how the new information would fit intoprevious content. This serves as an experimental group with regular exposure to concept maps asadvance organizers. Instructors at Universities B and C did not use concept maps as advanceorganizers and serve as a control group for comparison.Table 1: Overview of Research Participants
uncertainty in measurement (“GUM”).Students advance through a rotation of experiments that involve topics from mechanics, optics,electronics and quantum optics. The course follows a progressive structure by starting withconceptually simpler experiments designed to show the effects that the design of the experimentcan have on the final result and its uncertainty. These early labs allow students to focus onconcepts including Type A and Type B uncertainties; systematic errors; standard uncertainty andcombined standard uncertainty; coverage factor; and the propagation of uncertainty. Studentsalso begin to track uncertainty with a rudimentary uncertainty budget. For the rest of the course,the experiments become more open-ended and complex, and the
materials on you own regarding this topic? For example textbook or MEC Movies. Y N 4. Have you completed HW 7? Note that it is not due until next week. Y N 5. [Comp.] Three different beams are shown. Indicate if the beam would have transverse shear stresses in the cross section indicated. Y N Y N Y N6. [App] A cantilever beam with an open square cross section is loaded as shown. We are interested in the transverse shear stress at location A. CIRCLE the cross section which correctly shows the shaded area to use in determining Q for calculation of transverse shear at point A. a. b. c. d.7. [App
Table 1: Simplex Tableau 1 The teacher begins by asking student, “What is the current solution?” The studentresponds, “I have no clue.” The student is then asked, “Which columns form the identitymatrix?” The response may still be clueless. The teacher reminds the student that an identitycolumn is a column with all zeros and only a single 1. The student can then say that the identitycolumns are z, s1 and s2. The student is questioned regarding the current solution. The studentshould be able to recall that the values of these variables are the right hand side (RHS). Thus, z =0, s1 = 6, s2 = 4 and all other variables are nonbasic and have a value of 0, x1 = x2 = 0. Student B is asked, “What is the next step?” Most likely the student
illustrated with the ct_conv function. (Note: Several texts define sinc(t) as sin(t)/(t), thedefinition being using here is the same as that used by MATLAB.) For example the convolutionof f1(t) = a sinc(a t) with itself is equal to f1(t), i.e. f1(t) is an idempotent of convolution. Moregenerally, when f1(t) = a sinc(a t) and f2(t) = b sinc(b t) then f1(t) * f2(t) = f1(t) if a ≤ b. Theseproperties are trivial to derive in the frequency domain (the transform of a sinc(a t) isrect(ω/2πa)), but are very difficult to derive in the time domain via direct evaluation of theconvolution integral. This result is often unexpected by Figure 10 shows the result of usingct_conv to verify the previous property with a = 1 and b = 2. The theoretical result and
tabulated in the following tables. Table1: Project I- Solar Energy Design Internship Project: Solar Energy Implementation Student Assessment of Student Outcome Proposed ABET Criterion Satisfied: a, b, c, d, f, and g Student Feedback (Composite Target Score = 3.00) Student Outcomes Matched to ABET (a,, b, c,, d, e, f and g) Excellent Good Acceptable Pass
select and apply the knowledge, techniques, skills, and modern tools of the discipline to broadly-defined engineering technology activities; B. an ability to select and apply a knowledge of mathematics, science, engineering, and technology to engineering technology problems that require the application of principles and applied procedures or methodologies; C. an ability to conduct standard tests and measurements; to conduct, analyze, and interpret experiments; and to apply experimental results to improve processes; D. an ability to design systems, components, or processes for broadly-defined engineering technology problems appropriate to program educational objectives; E. an ability to function effectively
, which requires 3W power input and produces 7 mL/min of hydrogen and 3.5 mL/min of oxygen. Thehydrogen generated from the electrolyzer can fill our 1 L in-house designed hydrogenstorage tank in 2 hours. The design of gas storage tanks consisting of graduatedcylinders, rubber stoppers, and wash bottles was inspired by PHYWE PhysicsLaboratory Experiments.[12]IV. System IntegrationAll components in the system were enclosed within a wooden frame with acrylicpanels placed as windows. The fuel cell was sealed from the environment within anacrylic box to prevent contamination and over drying as shown in Figure 2 (B).Oxygen is fed into the box to provide required oxidizer during reaction. A similar ideawas used by Shapiro with their “free to ambient
IP core is developed for each component. The core is created from scratch. Itsconstruction follows the layered model in Figure 1(a) and is completed in a bottom-up fashion.In the gate layer, the circuits are constructed with small and medium sized logic components. Inthe RTL layer, the circuits are assembled to form a larger module. In the processor layer, themodule is augmented with additional decoding circuit and buffering registers to interface withthe system bus and to communicate with the processor. The three layers and their correspondingparts are depicted in Figure 1(b). In the OS layer, the software driver routines are derived toaccess the core. There are two basic architectures. The block diagram of an I/O IP core is shown in the
designed in Microsoft Publisher. A black 2x3” box is first drawn tomatch the glass slide’s geometry. All lines are colored black to minimize the amount of lightpassing through patterned areas. Using the various shape and line options, various channeldesigns can be patterned on the mask. The conversion 1 mm = 2.83465 pt was used to select aline width in ‘point’ that could scale to the dimensions desired in mm. The masks can then beprinted on a Pictorico transparency. With the equipment available, the paper type was set topremium photo paper glossy, quality set to max (2880 dpi x 1440 dpi), and the color set toadvanced B&W Photo. Three versions of channels printed onto a transparency are shown inFigure 1a.Pre-cure chip assembly: For
Kaitlin E. Mallouk, William T. Riddell, Karl B. Dyer Rowan University, mallouk@rowan.edu, riddell@rowan.edu, dyerk@rowan.eduAbstract - In a freshman engineering course, one measurements, units and dimensions, statistics, engineeringobjective is to introduce multidisciplinary teams of economics, etc.), as well as to develop the professionalengineering students to unifying engineering and science skills outlined in the ABET A-K outcomes. In the secondprinciples such as mass, momentum and energy semester, students from six engineering majors work inbalances; materials; thermodynamics, and electricity interdisciplinary teams on faculty-designed projects thatand magnetism using a
ofthe 40 schools sampled had programs consisting of 18% software. Most of the schools in oursample required 10% to 18% software-based courses in their computer engineering programs.Since the average computer engineering program requires about 128 credit hours this comes to13 to 23 hours of software. To put this in perspective a minor typically requires about 20 hoursof course work in a discipline and ABET requires about 32 hours of math and science. A - CS Fundementals I B - CS Fundementals II C - Object-oriented Programming D - Algorithms E - Programming Languages
by the workshops’ participants. Appendix B presents these tests for eachof the delivered workshops.Factorial composition of the presentation evaluation scale indicated that two latent but importantcomponents were functioning across the 15-item scale. One factor composed of 8 itemsdescribing various aspects of the presenter’s effectiveness in presenting the material andengaging the participants emerged and a total overall average was computed. The second factoremerged with 5 distinct items describing various degree of alignment to the goals and objectivesof the Green Energy and Manufacturing grant by the nine different presenters. Two unrelateditems dealing with aspects of materials and/or handouts made available as well as ability by
at least 75% of the input to a 5 V supply and measure theMCO topics and outcomes. voltage at the output. Resistor color code The LOs from the CEC222 MCO [8] are listed below. is given in the reference booklet. 1-B 8, 10 Measure a mystery waveform using anAll of the LOs relate, with various degrees of intersection, (2) oscilloscope, trigger the oscilloscope onto ABET Criterion 3 [9], student learning outcomes A-K the leading edge of the
Roles. In J. C. Smart (Ed.), Higher Education (pp. 397–456). Springer Netherlands. Retrieved from http://link.springer.com/chapter/10.1007/1-4020-4512-3_8 3. Lea, M. R., & Street, B. V. (1998). Student writing in higher education: An academic literacies approach. Studies in Higher Education, 23(2), 157–172. https://doi.org/10.1080/03075079812331380364 4. Jazvac‐Martek, M. (2009). Oscillating role identities: the academic experiences of education doctoral students. Innovations in Education and Teaching International, 46(3), 253–264. https://doi.org/10.1080/14703290903068862 5. Allen, T. D., & Eby, L. T. (2011). The Blackwell Handbook of Mentoring: A Multiple Perspectives Approach
will be able to have more meaningfully engaged class discussions as these studentscome to class prepared.References1. Wakefield, J. F. (2006) Textbook Usage in the United States: The Case of US History, Online Submission.2. Landrum, R. E., Gurung, R. A., and Spann, N. (2012) Assessments of textbook usage and the relationship to student course performance, College Teaching 60, 17-24.3. Gurung, R. A., and Martin, R. C. (2011) Predicting Textbook Reading The Textbook Assessment and Usage Scale, Teaching of Psychology 38, 22-28.4. Sharma, A., Van Hoof, B., and Pursel, B. (2013) An assessment of reading compliance decisions among undergraduate students, Journal of the Scholarship of Teaching and Learning 13, 103
biomechanics concept and corresponding in-class learning activity. 2. Lesson Plan with step by step directions for completing corresponding in-class activity (i.e. A B worksheet, thought problem, demonstration) along with list of materials/costs. Students were provided an example lesson plan and video based on the ASB K-12 Outreach Expo C D [2] (Figure 1), resources to video editing software, and a grading rubric (Figure 2). The instructor of record graded all projects based on the video and lesson plan submitted using the rubric
, (2001).2. J. D. Moell and T. N. Curlee, Transmitter Hunting: Radio Direction Finding Simplified, TAB Books, Blue Ridge Summit, PA (1987).3. M. Spencer, “A Transmitter for Fox Hunting,” QST, 33-36, (May 2011).4. M. Batchelder, K. White, and S. Gasper, “Ham Radio and Engineering Education,” Proceedings of the 2004 ASEE Annual Conference, (2004).5. J. Villasenor, “”Drones” and the Future of Domestic Aviation,” Proceedings of the IEEE, 102(3), 235-238, (2014).6. D. Erdos, A. Erdos, and S. E. Watkins, "An Experimental UAV System for Search and Rescue Challenge," IEEE Aerospace and Electronics Systems Magazine, 28(5), 32-37, (2013).7. J. Roberts, D. Frousheger, B. Williams, D. Campbell, and R. Walker
. After allowing it to cure for fourhours at room temperature (or for 10 minutes at 150F in a toaster oven, if available) studentscould mix more silicone and adhere the two parts. Then students used tubing and a squeeze bulbto inflate it manually. The long time for curing is acceptable if multiple outreach sessions areplanned: students can take two sessions to work on their robot and then come back to test it in athird session allowing the silicon to cure between sessions. However, Finio et al.3 noted therewere no learning outcomes specified in the outreach experience and it was better if studentscould make two robots because the success rate was low (B. Finio, personal communication,June 2, 2016).Classroom ProcessOur procedures have adapted the
.Participants took part in one of two VR experiences, each lasting approximately three to fiveminutes. Option A, a tethered version which utilized an Oculus Rift Development Kit 2 (DK2)(see Figure 2), wireless gamepad (see Figure 3) and headphones (Figure 4), and custom builtdesktop computer. Option B, a mobile version that utilized the Samsung Gear VR innovatoredition (Figure 2), wireless headphones (Figure 4), and mobile phone (i.e. Samsung S6 Edge).Besides the differences due to hardware, the interactive simulation was held constant betweenthe two groups; Titans of Space version 1.8 and version 1.1 respectively (see Figure 5 and Figure6). This particular VR experience was chosen because it was available for both systems and itwas known to have a low
Science, Technology,Engineering, and Math (STEM) courses. Researchers have noted that some course instructorssimply lecture but rarely help students make the connection between teaching and learning.4-5The SI program is based on group sessions led twice a week for one hour by a peer leader whohas already completed the course with a grade of an A or B. These group sessions includecollaborative learning techniques. SI leaders were assigned to target courses based on priorsemester DFW rates and professor willingness to have an SI leader. Whenever possible, the SIleader sits in class and gains firsthand knowledge of the areas in which students are struggling.In order to examine the effectiveness of the SI sessions, we examined the number of SI
Press, 2007).5. Freeman, S. et al. Active learning increases student performance in science, engineering, and mathematics. PNAS Early Ed. (2014). doi:10.1073/pnas.13190301116. Hake, R. R. Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. Am. J. Phys. 66, 64–74 (1998).7. Hora, M. T., Ferrare, J. & Oleson, A. Findings from classroom observations of 58 math and science faculty. Madison WI Univ. Wis.-Madison Wis. Cent. Educ. Res. (2012).8. Fiore, L. & Rosenquest, B. Shifting the culture of higher education: Influences on students, teachers, and pedagogy. Theory Pract. 49, 14–20 (2009).9. Hjalmarson, M. et al. Developing interactive teaching
theirradiance of the UV LEDs during the cure testing of the composites. LED Heat sink (a) (b) (c)Figure 2. (a) Side view of a UV curing system that is integrated with the extruder needle. (b) Eightequally spaced 365nm UV light emitting diodes (LED) embedded in the curing system provides aquasi-isotropic lighting environment. (c) Magnified view of the embedded LEDs.3. Materials: Fibers and MatricesNarrowing down the matrix-fiber combination was necessary to focus on a composite mixture
operation11, the two streams can be treated as two frames aligned in verticallayers. The top layer and bottom layer are known as a foreground frame and a backgroundframe, respectively. We consider three blending schemes and a video core can select a schemethat fits its need. Let f and b be the colors of the foreground pixel and background pixel and let rbe the blended result. The formula for the three schemes are • Multiplexing: r = α*f + (1 - α)*b where α = 0 or 1 • Alpha blending: r = α*f + (1- α)*b where 0.0 ≤ α ≤ 1.0 , • Chroma-key blending: , The multiplexing scheme treats the streams as two independent video sources and selects onesource and routes it to
, H. C. & Selvester, P. M. Faculty learning communities: Improving teaching in higher education. Educ. Stud. 38, 111–121 (2012).14. Layne, J., Froyd, J., Morgan, J. & Kenimer, A. Faculty learning communities. in Frontiers in Education, 2002. FIE 2002. 32nd Annual 2, F1A–13–F1A–18 vol.2 (2002).15. Furco, A. & Moely, B. E. Using learning communities to build faculty support for pedagogical innovation: A multi-campus study. J. High. Educ. 83, 128–153 (2012).16. Fox, L. A personalized faculty peer support program: Less can be more. J. Fac. Dev. 26, 55–61 (2012).17. Anderson, O. S. & Finelli, C. A faculty learning community to improve teaching practices in large engineering courses: Lasting impacts. in 24.46.1
good complement to the instructor’slectures for engaging students in the class.At the end of the semester, we assessed teaching and learning effectiveness through aquestionnaire handed out in class, which included three questions directly related to the groupproject: 1. Do you agree that the group project is a good way to learn the fundamental concepts of materials science? a. Strongly agree b. Agree c. Neutral d. Disagree e. Strongly disagree 2. Which of the following has been the best source(s) for you to learn the course materials? a. textbook b. Lectures c. Homework d. Group project e. Quizzes and midterm exam 3. Which of following has been the most useful in helping with self
education research, Cambridge University Press, pp. 267–282.[3] B. W. McNeill, L. Bellamy, and V. A. Burrows. 2000. “Team Norms and Communication,” in Introduction to Engineering Design, 9th ed., McGraw Hill Higher Education, pp. 1–13.[4] S. Gorman. 2014. Peering into the Culture of a Civil Engineering Discipline and Finding the White Rabbit, PhD Dissertation, Northern Arizona University. 285 pp.[5] R. Stevens, A. Johri, and K. O’Connor. 2014. “Professional engineering work,” in Cambridge handbook of engineering education research, Cambridge University Press, pp. 119–137.[6] E. Godfrey. 2007. “Cultures within cultures : Welcoming or unwelcoming for women ?,” ASEE, 19 pp.[7] S. J. Spencer, C
thesummer shown in Figure 4(a). All the results show a strong preference for “highly positive” inall areas. In addition, Figure 4(b) shows the student-fellow level of confidence in their ability toperform research at the onset of the program and after the summer term; student-fellows continueto engage with their mentors for four hours per week throughout the entire year. The graphsshow the increase in confidence levels of these students, showing that this experience is effectivein engaging them in a way that builds their confidence and thus their self-efficacy.As a corollary to this data, we present Program value to mentors: Mentors were equallysatisfied with the program; in 2016, 83% (10) were happy with the performance of their DERIfellow and 67
main body of productive practice,is not deeply considered.YUAN Quan7 has established that the practice enthusiasm of students is not high, and that thepractice quality has declined over time. The students are usually full of inquisitiveness andexpectation of the factory practice when mobilized before departure. Nonetheless, theirenthusiasm goes down in varying levels after the first day of internship, which is caused by (a)work efficiency and safety considerations that lead to less communication and interactionwith other factory workers as well as less hands-on opportunities; (b) non-photographing oftechnical information of secret places that lead to low enthusiasm among the students, thustheir practical reports are downloaded from the