., Jassemnejad, B., Judd, E., Ring, B. P., Henderson, A. W., Amstrong, G. M. Implementing a Flipped Classroom in Thermodynamics. Proceedings, American Society for Engineering Education. San Antonio. June 2012.[16] Ling N.G. Flipping a CAD Classroom Proceedings, Advances in Technology Education. Singapore. September 2014.[17] Yip-Hoi D. M. Enhancing a Blended Learning Approach to CAD Instruction using Lean Manufacturing Principles Proceedings, American Society for Engineering Education. Seattle June 2015.
Assessment Form Indicate Assessment Instrument: Exam Question, Report, Quiz, etc Date of Assessment Performance Expectation: X % of Students Should Achieve a Grade of at least Y% Based Upon Assessment Instrument Grading Rubric. ME XXX Number of Students ABET Student Course Outcomes Exceeding Criteria Meeting Criteria Below Criteria Outcomes a b cA similar process is underway to align the course outcomes for the remaining courses and isanticipated to be completed spring 2016.Administration and Organization While there are
EngineeringMs. Bethany B. Smith, Arizona State University Bethany Smith is currently a master’s student in materials science and engineering at Arizona State Uni- versity. She has been involved in STEM education research since 2012 under the direction of Professor Stephen Krause. Her research interests in STEM education include faculty development, best classroom practices, and improving undergraduate engineering student retention through understanding what makes students leave engineering. She will be pursuing her PhD in Materials Science and Engineering starting in 2016 at the University of California Berkeley. c American Society for Engineering Education, 2016 Connections Among
few years thenumber of faculty using the method has grown and some will find it a wonderful means toincrease student learning by modifying the feedback loop. They are designed to give instructorsauthentic, rich insights and information on student learning issues they can effectively use tosynthesize external formative feedback. Such feedback can then be used by students to assessand monitor progress and overcome learning issues. The feedback also offers importantopportunities for instructors to reflect on their own beliefs and practice and catalyze change tostudents' learning opportunities and their classroom experience.Instructor B: I have used two different methods now to automate collection of muddy points.Three years ago I began using the
her doctorate degree in Biomedical Engineering from Georgia Institute of Technology and Emory University in 2012 where she studied the role of shear stress in aortic valve dis- ease. Currently, she is investigating cyber-based student engagement strategies in flipped and traditional biomedical engineering courses. She aspires to understand and improve student attitude, achievement, and persistence in student-centered courses.Ms. Bethany B. Smith, Arizona State University Bethany Smith is currently a master’s student in materials science and engineering at Arizona State Uni- versity. She has been involved in STEM education research since 2012 under the direction of Professor c American
= 0.06, p = 0.002), and higherStatics grades (ρ= 0.14, p <0.001) as illustrated in Figure 1b. The SAT/ACT scores werematched using 2009 concordance tables8, and the improved performance in math scores, GPA,and Statics grades could partially explain the large drop in DFW rates6. Interestingly, and a notefor future work, Statics has just begun to implement some aspects of the Freeform environment.(a) (b)Figure 1. Since the inception of Freeform, (a) the DFW rate for Dynamics has decreased, and (b)Static grades have increased.The odds ratios (ORs) as well as the p-values for the coefficient estimates of our full logisticmodel are listed in Table 1. The odds of DFW are defined as the probability of DFW
, negative $25, and $100 per ton for P, P2, and P3, respectively. (Note that this means producing P2 actually results in a financial loss.) The direct treatment option costs $300 per ton of W. Raw materials arrive to the plant at a rate of 7,500 tons of X and 10,000 tons of Y per day. Assume all reactions run to completion. Determine how much of each product and treated waste should be created per day to maximize refinery profits.Process Control Example Develop the set of dynamic equations that describe two isothermal CSTRs in series, depicted in Figure 1 on the next page, using an actuator/process/sensor model approach. Assume that a single irreversible reaction A→B occurs in this system where the rate of reaction is given by r=kC
%20DR%20TAI%20- %20brochure.pdf (2012).13. PLTW video, Girls in Engineering: How one School is Solving the Problem, https://www.pltw.org/our- programs/experience-pltw/girls-engineering (2012).14. PLTW article, Bertram Visits Schools, Speaks of Urgency in Alaska, https://www.pltw.org/news/items/201410- bertram-visits-schools-speaks-urgency-alaska (2014).15. Cahill, J., Bridging the Engineering Gender Gap, Globe Newswire http://globenewswire.com/news- release/2012/02/23/468807/246867/en/Bridging-the-Engineering-Gender-Gap.html (February, 2012).16. Hughes, R., Nzekwe, B., Molyneaux, K., The Single Sex Debate for Girls in Science: a Comparison Between Two Informal Science Programs on Middle School Students' STEM
and applications to industry, system engineering, robust design, modeling, simulation, quality control, and optimization. c American Society for Engineering Education, 2016 Gauge R&R and TroubleshootingAbstractTeaching Gauge Repeatability & Reproducibility (GR&R) to engineering and engineeringtechnology students enables them to possess a practical skill that is popular in industry. It isespecially important for engineering technology students, since many of them will conducttesting, take measurements, and analyze data. The ability to analyze data is an important aspectof engineering technology students pursuing B. S. degrees, since this differentiates them fromlow level
construction projects in Florida and cannot be generalizedbeyond the sample size.Bibliography1. Bromilow F J, Hinds M F and Moody N F (1980) “AIQS survey of building contract time performance.” Building Economist 19(2): 79-82.2. Choudhury I and Rajan S S (2008) “Time-cost relationship for residential construction in Texas.” The American Professional Constructor 32(2): 28-32.3. Ireland V B E (1985) “The role of managerial actions in the cost, time, and quality performance of high-rise commercial building projects.” Construction Management and Economics 3 (1): 59-87.4. Kaka A and Price A D F (1991) “Relationship between value and duration of construction projects.” Construction Management and Economics 9(4): 383-400.5
, L. T. N.; Rocha, L. M.; Nguyen, C. B. C.; Houchens, B. C.; Bautista-Chavez, A. M.: Volunteerism in Engineering Outreach: Motivations and Surprising Outcomes for Undergraduate Mentors. In Frontiers in Education Conference (FIE), 2014 IEEE, 2014; pp 1-8.2. Clary, E. G.; Snyder, M. The Motivations to Volunteer Theoretical and Practical Considerations. Current Directions in Psychological Science 1999, 8, 156-159.3. Lane, N. Benjamin Franklin, Civic Scientist. Physics Today 2003, 56, 41-46.4. Nae Grand Challenges for Engineering. http://www.engineeringchallenges.org/.5. National Academy of Engineering: Changing the Conversation: Messages for Improving PublicUnderstanding of Engineering The National
Paper ID #14450Sustainable Production of Ethanol from Kudzu: Experimental Prototype Stud-iesDr. Cyril B Okhio, Kennesaw State University Cyril Okhio, Ph.D., C.Eng.(PE), M.I.Mech.E., MASME, MASEE SUMMARY Cyril B. Okhio is currently an Adjunct Professor in the School of Arts & Sciences, Clark Atlanta University. Dr. Okhio earned his B.S. (General Engineering) and Ph.D. (Mechanical Engineering) degrees from the University of London. He is registered as a Chartered Professional Engineer with the Council of Registered Engineers, United Kingdom; a Member of the Institution of Mechanical Engineers, UK and a Member of the
universities? A review of the literature," Industry and Higher Education, vol. 19, pp. 221-229, 2005.[7] M. Perkmann and K. Walsh, "University–industry relationships and open innovation: Towards a research agenda," International Journal of Management Reviews, vol. 9, pp. 259-280, 2007.[8] K. T. Marosi and B. Steinhurst, "Increasing the Retention of Under-Represented Students in Engineering Through Connections with An Industry Advisory Committee," in 2012 ASEE Annual Conference, San Antonio, Texas, 2012.[9] M. D. Santoro, "Success breeds success: The linkage between relationship intensity and tangible outcomes in industry–university collaborative ventures," The Journal of High Technology Management Research
Paper ID #15423Using Multi-Image Presentations to Enhance Continuing Engineering Edu-cationDr. Charles E. Baukal Jr. P.E., John Zink Co. LLC Charles E. Baukal, Jr. has a Ph.D. in Mechanical Engineering, an Ed.D., and Professional Engineering License. He is the Director of the John Zink Institute which offers continuing professional development for engineers and technicians. He has nearly 35 years of industrial experience and 30 years of teaching experience as an adjunct. He is the author/editor of 13 books on industrial combustion and is an inventor on 11 U.S. patents.Dr. Floyd B. Ausburn, Oklahoma State University
, and ET Departments Category ECE CS ET Female 62 37 17 African American 211 101 48 Hispanic 15 9 4 Total 265 127 54Leveraging a NSF funded Major Research Instrumentation project, an IBM iDataPlex HPCcluster was purchased and resides on campus at the College of Engineering as shown in Figure 1(a). There are several ongoing projects related to embedded systems, most of them are roboticsrelated. Figure 1 (b) illustrates one embedded HPC platform. It is an unmanned
with technology innovations, since computingcapabilities are driving advances in data management and cyber-physical system capabilities. 6 Acknowledgments The authors wish to acknowledge support from Office of Naval Research for grant “HigherEducation Pathways for Maritime Mechatronics Technicians (MechTech)”, Agency ProposalNumber N00014-15-1-2422.ReferencesArciszewski, H. F. R., de Greef, T. E., & van Delft, J. H. (2009). Adaptive Automation in a Naval Combat Management System. IEEE Transactions on Systems, Man & Cybernetics: Part A, 39(6), 1188-1199. doi: 10.1109/TSMCA.2009.2026428Arregi, B., Granados, S., Hascoet, J. Y., Hamilton, K., Alonso, M., & Ares, E
existing engineering technology programs: a) An appropriate mastery of the knowledge, techniques, skills and modern tools of complex systems that span multiple engineering technology disciplines. b) An ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering and technology. 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 apply creativity in the design of complex systems that span multiple engineering technology disciplines. e) An ability to function effectively on teams. f) An ability to identify, analyze and solve technical problems. g
system development for water purification as well as membrane manufacturing. She is an avid hiker and enjoys spending time with her family in the Boundry Waters Canoe Area of Minnesota.Dr. Alison B. Hoxie, University of Minnesota Duluth Dr. Alison B. Hoxie is an Assistant Professor in the Mechanical and Industrial Engineering Department at the University of Minnesota Duluth. Her education includes a B.A. in Natural Science from the College of Saint Benedict (1999), a B.S.M.E (2001) and a Ph.D. (2007) from the University of Minnesota Twin Cities. She has held positions as a consulting engineering in power and energy sector, and as an Instructor at the University of Utah. Her current research focuses on cost effective
section with the closed-ended project were only surveyed afterthe course. Each student was asked to evaluate the effectiveness of four types of courseprojects—Closed-ended (Closed), Open-ended paper (Open Paper), Non-sponsored design andbuild (Non-sponsor D&B), and Sponsored design and build (Sponsored D&B). The survey wasconducted on a Likert scale with 1 being, “Not at all effective” and 5 being, “Extremelyeffective”. The questions asked were, 1. How effective were the projects you completed at reinforcing course content? 2. How effective were the projects at enhancing your creativity? 3. How effective were the projects at enhancing your open-ended problem solution skills? 4. How effective were the projects you completed at
LearnersResearch QuestionsPart of the reason for offering the MOOC was to help answer the following questions: If learners are asked a set of preliminary questions will they be more engaged in the course? Are students who were sent a set of supplies for hands-on activities more likely to participate in the activities? Are these learners more engaged in the course?In order to answer the first question as towhether learners were more engaged if theywere asked a set of preliminary questions, thelearners were separated into two groups, an Agroup and a B group. The A group was theInquiry-Based Group. This group was given aset of 5-10 preliminary questions before anyvideos or content was delivered. As an example,learners were asked what the images shown
-test in August 2015 and was taken by a total of 165students registered with four different instructors (A, B, C, D, where instructor A is one of theauthors). It was later given as a post-test in December 2015 and taken by 62 students registeredwith three instructors (A, B, and C). Table 3 provides a summary of the pre- and post-test datafor two cohorts, A and BC combined. The data consist of the average scores for each question(the score of each question ranges from 0 to 1), the average total scores (maximum score is 10),and the normalized gains , where = (Post – Pre)/(10 – Pre)12. Table 3. Average scores and normalized gains on the ASCI Pre-test and Post-test. Cohort Item N Total Q1 Q2 Q3 Q4
) the cost of the package, and (b) the steep learning curve associated with thesoftware. Each one of these issues has been addressed in the project. It should be noted that eventhough the commercial cost for purchasing this package is relatively high, the Dassault Systemsoffers substantially discounted educational licenses of the full version of the software for classroomuse. Additionally, the student version of Abaqus can be downloaded free of charge from theDassault Systems website. The free student version of the software is the essentially the fullcommercial version, limited to handling models containing up to one thousand nodes. It is deemedthat this number of nodes is sufficient enough for the purpose of modeling a variety of
was visited by ABET in 2005 and accredited in the followingyear in 2006. The year 2005 also saw the launch of two new options, i.e., Electrical andMechanical Systems options. Telecommunications option was suspended in 2013 due to lowenrolment; thus, currently the program offers concentration options in Electrical, Mechanical,and Computer systems.The program curriculum includes the following components: a) a university core of 21 hours thatincludes humanities and social sciences; b) a 14 hour college core that includes additional mathand science; c) a 32 hour systems engineering core that includes courses in computerprogramming, circuits, probability and random signals, engineering economy, optimizationmethods, decision and risk analysis, DES
systemgovernance (Ph.D.). Old Dominion University, United States -- Virginia.5 Katina, P. F., Keating, C. B., & Jaradat, R. M. (2014). System requirements engineering in complex situations.Requirements Engineering, 19(1), 45–62.6 Keating, C. B., Katina, P. F., & Bradley, J. M. (2014). Complex system governance: Concept, challenges, andemerging research. International Journal of System of Systems Engineering, 5(3), 263–288.7 Laszlo, E. (1996). The systems view of the world: A holistic vision for our time. Cresskill, NJ: Hampton Press.8 Hammond, D. (2002). Exploring the genealogy of systems thinking. Systems Research and Behavioral Science,19(5), 429–439. http://doi.org/10.1002/sres.4999 von Bertalanffy, L. (1968). General system theory
in learning of vironment to Structure Organization structural engineers and hardware Science, 22 (1), 262-285. engineers2012 Blandin, B. The Competence of an Empirical data from a study of Engineer and how it is Built through an apprentice engineers in France whose Apprenticeship Program: a Tentative conclusions support the findings of the Model. International Journal of Trevelyan research
elements to besuccessful. These have to be based on realistic constraints imposed by each team as prescribed inABET student outcome c – where students design a system, component, or process to meet desiredneeds within realistic constraints such as economic, environmental, social, political, ethical,health and safety, manufacturability, and sustainability. The open-ended construction toyprojects used in this Rapid Prototyping and Reverse Engineering course accomplishes thisstudent outcome by incorporating the realistic constraints including the ones on economic,manufacturability, safety, environmental and sustainability. In these projects, ABET studentoutcomes a, b, d, e, g, h, and k are also addressed strongly. These open-ended constructionFigure
the motion. 7 The external resultant force must be in the same direction as the acceleration. Work and Energy 8 Gravitational potential energy can be either positive, zero, or negative. 9 Elastic potential energy can be either positive, zero, or negative. 10 When a spring is stretched by 5 in, it has more elastic potential energy than when it is compressed by 5 in. Conservation of Linear Momentum 11 If two same-size balls A and B are coming from the opposite direction, mA > mB. Ball B will experience a larger change of momentum. 12 If two same-size balls A and B are coming from the opposite direction, mA >
self-paced review. Lastly, handwritten image files are retained, which strengthen the learner’s soft skills through one-on-one clarification with Content Tutors or Instructor.Figure 3 illustrates the potential of increased frequency of tutor-learner interactions in EPICS.4.2 Study Set Contents Given: Two computer systems: A and B. There is also a reference computer R. Sought: Use the reference computer R to evaluate the two computer systems A and B under a benchmark suite that has the 3 workloads as listed below. Workload Program Time (R) [seconds] Time (A) Time (B) of SPEC suite
, and diameter of an object, as well as the number of holes theobject has, can be used to identify the object; 3) an object’s aspect ratio (the ratio of the width tothe length of a rectangle enclosed about the object) can be used for identification; and 4) thethinness (the ratio of diameter to the area) of an object can be used for identification.In binary images, objects are represented by pixels that are turned on, and the background isrepresented by pixels that are turned off. A general moment equation has been created tocalculate different levels of moment values which are used for object recognition andidentification. M a ,b x a y b x, yMa,b is
solutions.Instructor Performance Indicators At the end of each topic lesson, students were required to evaluate the instructors on theirteaching, course material, and behavior in class (Appendix B). Students evaluated instructors on14 items using a Likert scale between 1 and 5, with 1 being the poorest assessment of a particularitem and 5 being the best, and their results were compiled in a spreadsheet. Summary statisticswere calculated and tabulated as shown in Table 3 for each engineering discipline evaluated. Theaverage results range from 69.2% to 95.4%. Of the six instructors, two obtained average ratingsof above 90%, three received ratings between 80% and 90%, and one received a rating of below70%. Comments that accompanied some of these higher