Paper ID #30541How to Use Q Methodology in Engineering Education ResearchMs. Renee Desing, The Ohio State University Renee Desing is currently a PhD Candidate at the Ohio State University in the Department of Engineering Education. Ms. Desing holds a B.S. in Industrial Engineering from the Georgia Institute of Technology and a M.S. in Industrial Engineering and Operations Research from the Pennsylvania State University. Most recently, Ms. Desing worked as a managing consultant for IBM Public Sector Advanced Analytics.Dr. Rachel Louis Kajfez, The Ohio State University Dr. Rachel Louis Kajfez is an Assistant Professor in the
Paper ID #28894From Q&A to Norm & Adapt: The Roles of Peers in Changing Faculty Be-liefsand PracticeAmber Gallup, University of New MexicoDr. Vanessa Svihla, University of New Mexico Dr. Vanessa Svihla is a learning scientist and associate professor at the University of New Mexico in the Organization, Information & Learning Sciences program and in the Chemical & Biological Engineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutionizing Engineering Departments
Paper ID #29340Creating and Facilitating Engaging, Rigorous Fully-Online TechnicalCourses (or just Online Content for Face-to-Face Courses) - an MEBExampleDr. Tracy Q Gardner, Colorado School of Mines Tracy Q. Gardner graduated from the Colorado School of Mines (CSM) with B.S. degrees in chemical en- gineering and petroleum refining (CEPR) and in mathematical and computer sciences (MCS) in 1996 and with an M.S. degree in CEPR in 1998. She then got her Ph.D. in chemical engineering, studying transport in zeolite membranes, from CU, Boulder, in 2002. She did a postdoc at TUDelft in the Netherlands in 2002 and 2003, studying
for employee selection and development, and working with clients to better leverage organizational talent.Lauren Q DiBianca Frye, Forsyth Country Day School Lauren Frye is a licensed architect and educator practicing in Winston-Salem, North Carolina. She holds a bachelor of arts in architecture degree from Princeton University and an MArch degree from the Uni- versity of Virginia. After practicing architecture for ten years, Lauren followed her long time passion for education and began teaching design thinking to high school students, prototyping courses at Forsyth Country Day School. She co-founded the Community Design Studio of Winston-Salem, a nonprofit col- laborative bringing design thinking to bear on
Paper ID #31526The CAHSI INCLUDES Alliance: Realizing Collective ImpactDr. Elsa Q. Villa, University of Texas at El Paso Elsa Q. Villa, Ph.D., is a research assistant professor at The University of Texas at El Paso (UTEP) in the College of Education, and is Director of the Center for Education Research and Policy Studies (CERPS). Dr. Villa received her doctoral degree in curriculum and instruction from New Mexico State University; she received a Master of Science degree in Computer Science and a Master of Arts in Education from UTEP. She has led and co-led numerous grants from corporate foundations and state and
PITCH, PI of the ASPIRE grant, and is the coordinator for the first-year Intro to Engineering course. Her profes- sional interests include modeling the transport and fate of contaminants in groundwater and surface water systems, as well as engineering education reform.Dr. Cheryl Q Li, University of New Haven Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is an Associate Professor of Mechanical Engineering. Cheryl earned her first Ph.D. in Mechanical Engineering from National Uni- versity of Singapore in 1997. She served as Assistant Professor and subsequently Associate Professor in Mechatronics Engineering at University of Adelaide, Australia, and Nanyang Technological University
Pennsylvania on collaborative projects, educational research, and community outreach on climate change, air quality, and STEM education. American c Society for Engineering Education, 2020 Developed Curriculum for Introducing Quantum-Dots to High School Students, (Resource Exchange)Abstract A Ph.D. engineering student and high school chemistry teacher collaborated to teach theconcept of Quantum-dots (Q-dots) and their applications through three main stages: introductionto the topic, hands-on activity, and topic expansion. Students were engaged through a 5-minuteintroduction on “nanoscales” and “nanoparticles”. Students then made particles using a dye
paper and show how these general functionalforms can be used to determine the deflection of arbitrarily loaded beams of non-uniformflexural rigidity. The level of mathematical rigor employed in this paper is intentionallyaimed at a level typically taught in an introductory-level calculus course and typicallyencountered by a first- or second-year mechanical engineering student.2. Shear-moment distributions and beam deflections Much of what follows in this section is taken from Boedo [10] and is presentedhere for completeness. Figure 1 shows a beam subjected to an external load distributionq(x). The origin of the x,y coordinate frame is attached to the left-most end of the beam,and the y-axis points upward. The load distribution q(x
were 3 female and 5 male students; 3 of them were domestic students and 5 of themwere international students. For a total of 40 questions in 10 categories, average scores andstandard deviations were calculated for individual questions and also for each category. The resultsare summarized in Table 1 where the survey categories are labeled by Roman numerals andindividual questions are sequentially labeled with a prefix Q. The average and standard deviationfor “Overall” are for the category. For a comparison between the results from the twoquestionnaires, the averages and standard deviations were presented in two sets of columns,denoted by “Perception” (questionnaire 1) and “Achievement” (questionnaire 2). For intuitive understanding from these
used inenvironmental engineering for numerous applications, especially for removing contaminantsfrom water and air. Environmental engineers typically quantify the mass of adsorbate per massof adsorbent (adsorption density, q) as follows. x �Co − Caq �V q= = M Mwhere,Co = initial aqueous concentration (mg sorbate/L)Caq = equilibrium aqueous concentration (mg sorbate/L)V = volume of solvent (L)M = mass of sorbent (g)When modeling and designing adsorption treatment processes, the adsorption density is typicallygraphed as a function of the adsorbate’s equilibrium aqueous concentration at a constanttemperature; this
Q7 4.06 4 Q8 4.74 4.5 Q9 4.47 4.57 Q 10 4.68 4.57 Q 11 4.47 4.43 Q 12 4.42 4.33 Q 13 4.56 4.17 Q 14 4.11 4.43 Q 15 4.47 4.57 Q 16 4.42 4.71 Q 17
enthalpy profile basedon inlet boundary conditions (inlet flow and temperature), a nonuniform axial powershape, and a specified operating pressure. The first law is defined as follows1: dEcv V2 V2 Q cv W cv m i hi i gzi m e he e gz e (1) dt i 2 e 2 The pressure drop is based on the equation resulting from a mechanical energy balancefor an incompressible fluid2: pi Vi 2 pe Ve2 zi h ze hTurbine hL (2
record thepressures and temperatures along the refrigerant lines, before and after the evaporator, condenserand compressor, the flow rate of air entering and leaving the condenser and evaporator, and the power consumed by the compressor and the unit. The following are more specific learningoutcomes categorized as per the objectives listed in the “Introduction” section of this paper.1) Objective # I: Understanding thermodynamic and other relations that govern refrigeration cycles a. Reading pressures and temperatures b. Plotting the points on p-h diagram c. Estimating the cooling load by applying energy balance across the evaporator q m C , T T 𝜌 Q C , ∆T (1
cases using equivalencepartitioning. Using these times in Equation 1 we get F2FA(0.24CL + 0.08GA + 0.17PBL+ 0.08SI + 0.43LS) where CL - collaborative learning, GA - gamification, PBL - problem-Table 3: Results from the survey for questions 6, 12, 18, 24 and 30 comparing the LESs in theData Structures (DS) and the Software Engineering 1 (SE1) courses. SD - Strongly Disagree, D -Disagree, N - Neither Disagree or Agree, A - Agree, SA - Strongly Agree, NA - Not applicable,NR - No Response. * - High high number of NA and/or NR responses. Q. Item C SD D N A SA NA NR M
) Figure 4: PWM generation technique for CHB.Control Strategy:Upon successful development of the design and modulation of all power converters of SST, it isimportant to develop a control model to provide a reliable, resilient, and efficient SST for thegrid application. The high and low voltage balancing operation across the DC bus capacitor hasbeen very challenging for SST configuration especially for parallel-connected DAB and multi-port application [15]. In this paper, a d-q vector control-based DC voltage and load voltagebalancing technique for both rectifier and inverter stages are presented. A simple classic d-qvector controller is applied in this system.Rectifier StageThe high voltage grid is connected to the front end of the SST that is
, and their ability tocontrol, confine, and enhance light-matter interactions at the nanoscale. Results & DiscussionNanostructures, such as dolmens and oligomers of nanoparticles as well as several plasmonicmetasurface structures, have shown to exhibit Fano resonances in the optical domain. An example ofsuch nanostructure is the ultrathin Babinet-inverted metasurface made up of asymmetric split-ringapertures fabricated in a metal plate, which produces high-quality-factor (high-Q) Fano resonances. TheFano resonances originate from the interaction of bright modes and dark modes that give rise toasymmetric linewidth profiles in the scattering parameters, such as absorption or reflection spectra. All
taken) Participant demographic information (Gender, Race / Ethnicity) Select from lists Q: What interested you about this summer program? Open-ended comment Q: What do you expect to learn and experience in this summer program? Open-ended comment Q: How do you expect this program to help your academic career? Open-ended comment Q: Rate your agreement with the following statements: 5-point Likert scale (strongly I am interested in the field that I am studying. agree = 5, agree = 4, neutral I am interested in a career in STEM. = 3, disagree = 2, strongly I am confident that I am prepared
engineering majors would take MEEN 221 as their main staticsengineering course. Starting in the Fall 2015 term, the Mechanical Engineering Departmentdeveloped a new Statics course exclusively for MEEN students, MEEN 225. This new course wasdesigned to better prepare students for subsequent MEEN curriculum. Topics covered are verysimilar, however MEEN 225 uses group projects in addition to homework and major exams forassessment. The students must also attend a 3-hour recitation every week in MEEN 225.Since the Fall 2015 semester when the divergence of the MEEN 221 and MEEN 225 coursesbegan, the department has seen a much higher percentages of students earn a grade of a D, an F,or Q-drop in MEEN 221 creating higher DFQ rates. A Q-drop prevents a
C Rp P P P (a) x (b) 3R p (c) R e2 (t ) q p e1 O
. Wigfield, “MOTIVATIONAL BELIEFS,VALUES, AND GOALS,” 2002.[12] J. S. Eccles, A. Wigfield, and U. Schiefele, “Motivation to succeed,” in Handbook of child psychology: Social, emotional, and personality development., Vol. 3, 5th ed., N. Eisenberg, Ed. Hoboken, NJ: John Wiley & Sons Inc, 1998, pp. 1017–1095.[13] Jacquelynne S. Eccles, “GENDER ROLES AND WOMEN’S ACH IEVEMENT- RELATED DECISIONS,” Psychol. ofWmn Q., vol. 11, pp. 135–172, 1987.[14] G. Hofstede, Cultures and organizations: Software of the mind. 1991.[15] R. L. Kajfez, M. J. Mohammadi-Aragh, A. Clark, S. Sassi, and J. Petrie, “Board 29: Initial Qualitative Exploration into First-Year Engineering Community and Identity,” in 2019 ASEE Annual