and at least one potential benefit for the company. at least two reactions to be considered in the reaction system (2) –list all of the chemical species involved in the reactions and show the reactions in A, B, C, D, etc. notation. These need not be all of the reactions that occur in the real system. Note that a multi-step catalytic reaction mechanism with one overall rate law (e.g., Michaelis-Mention, Monod, or Langmuir-Hinshelwood) counts as one reaction. information about the rate laws (2) – is a rate law known for a particular catalyst? Or will an expression from Ch. 9 or 10 of (Fogler 2011) be used for the rate law? Identify sources of data relevant to the rate laws for the system
283 90 Family Economic Background Low-Income 57 18 Middle-Income 130 42 High-Income 124 40 Average GPA A 177 56 B or lower 138 44 a Underrepresented Minority (URM) respondents were defined as African American, Hispanic, Native America, & Pacific Islander b First Generation= Neither Mother nor Father Entered CollegeAnalysisUsing an emergent coding scheme10, we categorized responses to the open-ended jobsearch questions related to factors influencing their choices in applying to
–12, Aug. 2016.[18] N. Cross, “Design cognition: Results from protocol and other empirical studies of design activity,” in Design Knowing and Learning: Cognition in Design Education, C. Eastman, W. Newstatter, and M. McCracken, Eds. Oxford, UK: Elsevier, 2001, pp. 79–103.[19] A. T. Purcell and J. S. Gero, “Design and other types of fixation,” Des. Stud., vol. 17, no. 4, pp. 363–383, Oct. 1996.[20] S. R. Daly, S. Yilmaz, J. L. Christian, C. M. Seifert, and R. Gonzalez, “Design Heuristics in Engineering Concept Generation,” J. Eng. Educ., vol. 101, no. 4, pp. 601–629, 2012.[21] P. B. Paulus and H.-C. Yang, “Idea generation in groups: A basis for creativity in organizations,” Organ. Behav. Hum. Decis. Process., vol. 82, no. 1
testsby allowing each user performs the tasks on only two platforms. Platform order will be assignedto users randomly. By reducing the platforms to two, the time per user will be greatly reduced,the learning effect will only be from one platform to a second platform, rather than across fourplatforms. By randomizing the platform selections, we will have as many subjects learning fromplatform A to B as we do from B to A. Statistically the learning effect will be removed. Thisapproach requires significantly more test subjects but will require a much shorter test time foreach.3.2 Metrics of PerformanceQuantifiable metrics permit quantitative analysis, as has been discussed. The metrics selected forthe tasks as discussed above are time, errors and
machines that are equipped with theadditional feature-based CAM. The rest of the paper describes the MAKER exercisesaimed to provide knowledge in the four generations of NC machining. 2 Code Based CNC – First GenerationThe main feature of this generation of machines is their ability to accept geometricinformation through NC codes and perform the material removal operations. Thesteps in the operation of this type are (a) process planning (b) part programming (c)part programming entry (d) proving the part program and (e) the machining of thepart. Process planning includes the rough cutting and finish cutting and is a commonfeature for all generations but the processes vary according to their capabilities. Thelearning outcomes from the exercises on
below.1. Signal processing-MATLAB & SIMULINK12. Signal transmission-Microwave Office23. Data communication- Riverbed Modeler3 (formerly OPNET modeler)MATLAB is a high level programming language for technical computation. The softwareincludes computation, viewing, and programming in a user-friendly environment. AlthoughMATLAB has a user-friendly graphical user interface (GUI) interface, its functions are primarilyexecuted through commands. Therefore, the user must know these commands and the syntax ofthe programming language. Common uses of MATLAB include: a) plotting of complexmathematical equations, b) mathematical computations, c) algorithm development, and d)modeling and simulation.SIMULINK has an interactive environment that facilitates
enough with our only big obstacle being the selectionof our power generator and creating the pulley set up. We decided to add both a data logger, forreal life data, and calculated data in order to compare the two data sets. Although our project didnot produce as much power as we had initially intended, it could produce a decent amount ofpower given the efficiency rating being calculated at 7.52%. Overall, the project taught us aboutmotor selection, power production, efficiency ratings, mechanical design, problem solving, andother skills. This project was also aligned with STEM education goal due to necessity of hand-onskill when we completed the windmill design.References[1] B. K. Hodge. (2010). Alternative Energy Systems and Application, Wiley
microcontroller based open-loop and closed-loop control systems. How well did this course meet this objective? Figure 3: Course learning objectives survey [12]The following survey is a measurement of Students Satisfaction with regard to ABET CriteriaSatisfied with regard to a, b, c, d and f: ECET 209 Introduction to Microcontrollers – ABET Survey Fall 2016 ABET Criteria Students Evaluation
experiences and providing students with the tools they need to succeed after graduating.Dr. Cyril S Ku, William Paterson University Dr. Cyril S. Ku received the B. S. degree in Computer Science from Utah State University, Logan, Utah, USA, in 1980, the M. S. degree in Computer Science and Applications from Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA, in 1982, and the Ph. D. degree in Computer Science from Northwestern University, Evanston, Illinois, USA, in 1989. From 1982 to 1985, he was a Software Engineer in the field of traffic and transportation engineering. He conducted application research in software engineering, databases, and data science as Member of
) training on active learning andcollaborative methodologies in a two-day long workshop that would enable them to implement itin their classrooms. The two PD facilitators had extensive experience in active learning both inteaching engineering and mathematics courses for undergrads and in professional developmentfor university instructors. The objective of this workshop was three-fold: a) To gather data to know the instructors’ initial beliefs about teaching11. b) To introduce instructors to constructivism and active learning as a methodology that can be used in mathematics. That is, making participants aware that traditional teaching often does not foster learning and that a student-centered teaching strategy has a better chance
: An Inclusion Equation. Diversity at Work: The Practice of Inclusion (eds B. M. Ferdman and B. R. Deane): John Wiley & Sons, Inc. pp. 205-2288. Theodorakopoulos, N., & Budhwar, P. (2015). Guest editors' introduction: Diversity and inclusion in different work settings: Emerging patterns, challenges, and research agenda. Human Resource Management, 54(2), 177-197.9. Kezar, A., Gehrke, S., & Elrod, S. (2015). Implicit theories of change as a barrier to change on college campuses: an examination of STEM reform. The Review of Higher Education, 38(4), 479-506.10. Gay, G. (2010). Classroom practices for teaching diversity. Educational Research and Innovation, 257-279.11. Kezar, A. (2011). What is the best way to
allow students to better develop into adult learners upongraduation. References1. P. Mortimore and C. Watkins, Understanding Pedagogy and its Impact on Learning, SAGE, 1999.2. M. S. Knowles, The Modern Practice of Adult Education, Andragogy versus Pedagogy, New York: Associated Press, 1970.3. M. Knowles, The Adult Learner: A Neglected Species, Houston, TX: Gulf Publishing Company, 1973.4. S. B. Merriam, "Andragogy and Self-Directed Learning: Pillars of Adult Learning Theory," New Directions for Adult and Continuing Education, pp. 3-14, 2001.5. Educational Technology and Mobile Learning, Accessed March 2017. http://www.educatorstechnology.com/2013/05/awesome-chart-on-pedagogy-vs- andragogy.html.6. S. Bell, "Project-Based
Science Teachers toDetermine Their Preparedness to Teach Engineering Design. All Graduate Theses andDissertations. Retrieved from http://digitalcommons.usu.edu/etd/3559Arnold, M. L., Newman, J. H., Gaddy, B. B., & Dean, C. B. (2005). A look at thecondition of rural education research: Setting a direction for future research. Journal ofresearch in Rural Education, 20(6), 1-25.Berry, A., & DeRosa, D. (2015), K-12 Teachers as Curriculum Designers in EngineeringProfessional Development Paper presented at 2015 ASEE Annual Conference &Exposition, Seattle, Washington. 10.18260/p.24387Bowen, B. (2014, June), K-12 Teacher Internships: Professional Development in theEngineering Design Process and STEM Learning Paper presented at 2014 ASEE
continuous systems fit together.The survey was distributed via Qualtrics at the end of the semester and was completed by 𝑛 = 11students. The results of the numerical responses are displayed in Figure 6 and Figure 7. Theprompts are in the same order as presented in Table 4. The “A” response is perceived ability beforestarting the project while “B” is perceived ability after finishing the project.Figure 6: Boxplot of Survey Results (1). There is a significant difference between the median pre-project ability (A) and the post-project ability (B) for all
noise, suitable for illustrating regression and covariance based methods. Note thatwithout the noise addition, the data correlation would be perfect with coefficient of determinationR-sq = 1. The random noise values were added using the RAND function in Microsoft Excel andthe data was saved in CSV-format, suitable for running the LISREL software. Figure 1: Left: A schematic of the studied inclined plane problem with two blocks and a pulley. Right: UsingNewton’s law of motion, system acceleration values were calculated using different weight values of the mass whilekeeping the other mass value constant. Noise was added to simulate lab data. Column-A and Column-B has R-sq = 0.84. Column-C and Column-D has R-sq
. S., & Higginson, J. (2016, June), “Bridging Courses:Unmet Clinical Needs to Capstone Design (Work in Progress),” Paper presented at 2016 ASEE AnnualConference & Exposition, New Orleans, Louisiana. 10.18260/p.26393[7] Przestrzelski, B., & DesJardins, J. D., & Brewer, C. M. I. (2016, June), “Year Two - The DeFINEProgram: A Clinical and Technology Transfer Immersion Program for Biomedical Needs Identificationand Valuation,” Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans,Louisiana. 10.18260/p.27062[8] Kadlowec, J., & Merrill, T., & Hirsh, R. A., & Sood, S. (2015, June), “Work-In-Progress: ClinicalImmersion and Team-Based Engineering Design,” Paper presented at 2015 ASEE Annual Conference
) 4.35 0.00 1.00 2.00 3.00 4.00 5.00 6.00Figure 5. IMI Motivation Analysis for SLA-aBLe and non-SLA-aBLe sectionsResearch Question II: Student Performance Differences The second research question was answered by running a chi-square test of independenceon students’ final grade in SLA-aBLe sections and non-SLA-aBLe sections for all threesemesters. There was no significant relationship associated between the course sections and finalgrade, however there were more A and B grades and less F grades in SLA-aBLe sections thanthose in non-SLA-aBLe section as shown in Figure 6. Frequency count of grades in SLA-aBLe and non
, “Systems such as WeBWorKoffer the potential to transfer knowledge and teaching practices from one country to another”[10].Preliminary Study for Advanced Mechanics of Materials CourseA study of the effectiveness of the new WeBWorK suite was completed based on fourhomework sets. The class was divided into groups A and B such that each group hadapproximately the same number of students and approximately the same makeup of student GPAin previously-attempted, closely-related courses. Otherwise, selection of groups A and B wasrandom. For each studied homework set, one group was given access to problems in WeBWorK,and one group was given similar but different problems through a static document posted to thecourse’s learning management site (moodle). Each
Students’ Sustainability Education across Engineering Curriculumevaluate student reports for nine different factors including dimensions of sustainability, Bloom’staxonomy, sustainability links, drivers for including sustainability, location of sustainability withinreport, qualitative/quantitative incorporation, sustainability source/reference, and sustainabilitytopics. The sustainability content within Spring 2014, Fall 2014, and Spring 2015 senior designcapstone projects from university A (UA, n = 181 students, n p = 28 projects) and university B(UB, n = 106 students, n p = 15 projects) was evaluated using a mixed-methods approach. Themixed-methods assessment included observation of student project presentations and evalua-tion of student
with middle-school students, in which the activity is conducted in their classroom overfive 30-minute sessions.6. Bibliography.[1] National Academy of Sciences, Surmounting the Barriers: Ethnic Diversity in Engineering Education: Summary of a Workshop. Washington, DC, USA, 2014.[2] Yoder, B. L., Engineering by the Numbers, Amer. Soc. Eng. Educ., Washington, DC, USA, 2015.[3] Yoder, B. L. and Campbell, K., Profiles of Engineering and Engineering Technology Colleges, Amer. Soc. Eng. Educ., Washington, DC, USA, 2015.[4] May, G. S. and Chubin, D. E., “A Retrospective on Undergraduate Engineering Success for Underrepresented Minority Students.” J. Eng. Education, vol. 92, no. 1, pp. 27-39, 2003.[5] Gonzalez, G. “A Square-Wave
learning at work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14(1), 133-156.2. Greeno, J. G. (2006). Learning in Activity. In R. K. Sawyer (Ed.), The Cambridge handbook of: The learning sciences. (pp. 79-96). New York, NY US: Cambridge University Press.3. Holland, D., Lachicotte, W., Skinner, D., & Cain, C. (1998). Identity and agency in cultural worlds. Cambridge, MA: Harvard University Press.4. Johri, A., & Olds, B. M. (2011). Situated engineering learning: Bridging engineering education research and the learning sciences. Journal of Engineering Education, 100(1), 151- 185.5. Koretsky, M.D. (2015). Program Level Curriculum Reform at Scale: Using Studios to Flip the Classroom
., & Steckelberg, A. L. (2010). Assessor or assessee: how student learning improves by giving andreceiving feedback. British Journal of Educational Technology, 41 (3), 525-536.[14] Ertmer, P. A., Richardson, J. C., Belland, B., Camin, D., Connolly, P., Coulthard, G., et al. (2007). Using peerfeedback to enhance the quality of student online postings: an exploratory study. Journal of Computer-MediatedCommunication, 12, 412-433.[15] van der Poel, J., van den Berg, B. A., Admiraal, W. F., & Simons, P. R. (2008). The nature, reception, and useof online peer feedback in higher education. Computers & Education, 51, 1804-1817.[17] van Zundert, M., Sluijsmans, D., & Merrienboer, J. v. (2010). Effective peer assessment processes
., Nemeth, G., and Korondi, P. 2008. “Welding Trajectory Reconstruction Based on the Intelligent Space Concept.” In Proceedings of 2008 Conference on Human System Interactions, pp. 791-796.[14] Chowdhury, A. A., and Mazid, A. M. 2009. “Computer Integrated Manufacturing Education to Mechanical Engineering Students: Teaching, Research and Practice.” In Proceedings of IEEE International Conference on Industrial Technology, pp. 1-5.[15] Rajamony, B., and Hilmi, A. H. 2007. “Teaching Flexible Manufacturing System in University Education for Future Engineers.” In Proceedings of the 5th ASEAN Symposium on Educational Management and Leadership.[16] Alhourani, F. 2006. “Enhancement of Flexible Manufacturing
Graham, M. J., Frederick, J., Byars-Winston, A., Hunter, A.-B. & Handelsman, J. Increasing persistence of college students in STEM. Science 341, 1455-1456 (2013).7 Summers, M. F. & III, F. A. H. Preparing minority scientists and engineers. institutions 17, 18 (2006).8 Shrestha, L. B. Changing demographic profile of the United States. (DIANE Publishing, 2011).9 Bernstein, R. Texas becomes nation’s newest “majority-minority” state, Census Bureau announces. Washington, DC: US Census Bureau News (2005).10 Donohue, S. K. & Richards, L. G. Workshop - elementary engineering education: Engineering Teaching Kits for K-5 students in Frontiers in Education Conference, 2008. FIE 2008. 38th Annual. W3B-1-W3B-2.11
Creating a Viable Cogeneration Design for the Campus Wood FiredBoiler,” ASEE Annual Conference 2015, Energy Conversion and Conservation Division, Seattle, WA, June 2015.11 M. Alahmad, H. Hess, B. Johnson, “Project Based Approach to Introduce Building System Design in an ElectricalEngineering Curriculum,” ASEE Annual Conference 2007, Energy Conversion and Conservation Division,Honolulu, HI, June 2007.
their: a)accuracy to predict scientific phenomena, b) ability to conduct studies that are impossible todo experimentally due to size, access and cost, and c) economic impact to design, test, andmanufacture industrial products such as engines, planes, cars, and new drugs.16 As a result,modeling and simulation is now regarded as a third pillar of doing science because itfacilitates the deductive and inductive cycle of scientific thinking.6,12,16-17 Furthermore,modeling and simulation has been found to support deductive and inductive approaches toteaching as well.20,22,27-35 So, judging from its utilization in both scientific research andteaching, one might say that modeling and simulation is a common process through whichelectronic computers and
as the delay factor of that course. Figure 2shows a curricular pattern consisting of five courses, v1 –v5 . Inside of each node in Figure 2 (a), weshow the blocking factor of that node, and inside of each node in Figure 2 (b) we show the delayfactor associated with that node. We then define the cruciality of a course within a curriculum as v1 v2 v3 v1 v2 v3 4 3 0 4 4 3 v4 v5 v4 v5 1
Cotantino, T., Kellam, N., Cramond, B., Crowder, I., Costantino, T., Kellam, N., … Crowder, I.(2010). An Interdisciplinary Design Studio: How Can Art and Engineering Collaborate toIncrease Students’ Creativity? Art Education, 63(2), 49–53.https://doi.org/10.1080/00043125.2010.115190628 Dym, C. L., Wesner, J. W., & Winner, L. (2003). Social Dimensions of Engineering Design :Observations from Mudd Design Workshop III. Journal of Engineering Education, 92(1), 105–107. https://doi.org/10.1002/j.2168-9830.2003.tb00746.x9 Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering DesignThinking, Teaching, and Learning. Journal of Engineering Education, (January), 103–120.https://doi.org/10.1109/EMR.2006.167907810
Problem Solving: As students were working on the problem, Professor DV walked around the classroom. This served two purposes: a. It allowed Professor DV to check on students’ progress to know when to bring the class back together to discuss the problem. b. It gave students an opportunity to raise their hands and ask private questions one-on-one with Professor DV.3. Checking Progress: Professor DV asked students to raise their hands if they had finished particular steps of the problem, such as drawing a free-body diagram or choosing a coordinate system (e.g. Cartesian or polar).4. Identifying a Sticking Point: Professor DV asked students to suggest one thing that he could help them to understand that would assist them in
agree that GLASS-enabled collaborative activities using Etherpad Etherpad/Cacoo tools were sufficiently easy to learn Group sessions promoted useful interactions with classmates Collaboration mechanisms enhanced my ability to solve engineering problems Team design problems facilitated my understanding Strongly/Agree Neutral Disagree/Strongly (a) (b) (c