important perspective and exposure to industry. He has been directly involved c American Society for Engineering Education, 2015 Paper ID #12772in at least 20 different engineering projects related to a wide range of industries from petroleum and nat-ural gas industry to brewing and newspaper industries. Dr. Ayala has provided service to professionalorganizations such as ASME. Since 2008 he has been a member of the Committee of Spanish Translationof ASME Codes and the ASME Subcommittee on Piping and Pipelines in Spanish. Under both member-ships the following Codes have been translated: ASME B31.3, ASME B31.8S, ASME B31Q and
this course. The students are assessed basedon their successful completion of 8 labs, and their performance on 3 exams, 10 quizzes, and 1major design project. Students meet for two 80 minute lectures during the semester and one 110minute lab per week. A typical lecture includes presentation, practicing problems, and discussingthe material.Figure 4 shows a histogram bar plot of all of the graphlets that match between a particular studentover pre, examI, and examII. This was done for all the students so that we could analyze the dataand determine which graphlets are matching (between student and criterion map) and might makesense for assessing learning and providing feedback. Note that g0 graphlets are the same as ourGranularSimilarity
the use of an intermediary software tool, Code Composer Studio to compileand program whereas the Beagleboard interfaces directly with MATLAB. Analysis of theusefulness of the hardware upgrade was carried out by assessing students' acceptance of the DSKversus the Beagleboard-xM in terms of its usefulness and usability over four key laboratoryexperiments: Digital Audio Effects, Touch-Tone Phone, Voice Scrambler-Descrambler, andSampling and Aliasing. The extent to which the two hardware platforms were able tosuccessfully achieve learning outcomes in the course is also presented.IntroductionReal-time signal processing as part of an introductory signal processing course complements in-class lectures by using project-centric and industry hardware
laboratory platform isnot the focus of the project described here but will be conducted and presented in the future.Because this platform is technically implemented to meet the needs of various mechanicalengineering laboratory scenarios, rather than being limited to gear train laboratory exercises, thetrue learning effectiveness may largely depend on the specific laboratory designs implementedbased on this platform. The evaluation of the usability of the platform addressed here canimprove the further design of videogame-based laboratory systems for easier operations, whichcan help better motivating students as well as more efficiently rendering laboratory exercises
engineering and is a registered professional engineer with APEGA (Association of Professional Engineers, Geologists and Geophysicists of Alberta). Prior to her career at MacEwan, Shelley worked in industry as a research engineer and a consulting engineer for several years.Dr. Jeffrey A Davis P.Eng., Grant MacEwan University Dr Davis obtained his PhD at ETH Zurich specializing in multiphase flows and thermal hydraulics in nuclear reactors. With a passion for teaching, Dr. Davis’ research focuses on pedagogical topics such as student engagement, active learning, and cognitive development. Projects he is currently working on include ”Development of a risk assessment model for the retention of students”, ”Development of
time, she has taught classes in structural analysis, timber and steel design, engineering mechanics: statics, building foundations and numerical analysis. Professor Ramming has recently been named Halliburton Outstanding Young Faculty and the Outstanding Teacher for the College of Engineering, Architecture and Technology. She has also published books for Project Lead the Way and a text on Numerical Structural Analysis. Professor Ramming enjoys spending time with the students of CEAT as the advisor of the Ar- chitectural Engineering Institute, Tau Beta Pi, Women Inspiring Successful Engineers, and CEAT Student Council.Prof. John J Phillips, Oklahoma State University JOHN PHILLIPS, a registered engineer and
algorithm design will be discussed as well as the next steps for the research.IntroductionThe use of peer review is an essential part of the engineering design process. The AmericanSociety of Civil Engineers maintains an official policy, formally supporting the use of peerreview in engineering2. As an educational tool, peer review can be a valuable way to providestudents feedback without a significant increase in instructor workload. Despite all that iscurrently known about our students, the best mechanism for assigning reviewers to reviewees ina peer review of artifacts is still considered to be blind, random assignment. The underlyingconjecture of this research project is that “there has to be a better way”. Specifically, if amechanism can be
, the measurement quality obtained with high-stakes adaptive testing could also berealized in learning materials for students developing their academic skills, including largecollege classrooms or Massively Open Online Courses. For students, targeted materials couldmake study time more efficient, and real-time scoring of self-administered assessments couldprovide timely feedback on performance. As an example, students studying introductory physicscould log on to a website and answer questions delivered adaptively. Online scoring wouldallow students and instructors to make accurate evaluations of progress and projections forsuccessful completion of the course. Such a learning tool could ultimately serve as summativeassessment, but would be
., Reiser, R., Hruskocy, C., & Ruckdeschel, C. (1999). Strategies for teaching project-based courses. Educational Technology, 39(2), 56-59. 12. Keller, F. (1968). Goodbye, teacher. Journal of Applied Behavior Analysis, 1, 79-89. 13. Gagne, R. (1965). The conditions of learning. New York: Holt, Reinhardt, and Winston. Page 26.1298.11
randexam between departments,which are the units of organization for teaching, and were enabled by organization programs,including the Math/Engineering Calculus co-teaching project, the Education Innovation Fellowsprogram, and the college-supported Communities of Practice. The one characteristic that was notpresent for randexam was formal dissemination programs.A key aspect of the spread of randexam was the fact that almost every link in Figure 10 had along-term faculty-member involvement on both ends of the link (at least one semester). That is, itwas not the case that a faculty member heard about the innovation at a workshop or otherone-time event, but rather that they participated in an extended conversation that allowedfamiliarity to build
. Stevens, R., Johri, A., & O'Connor, K. (2014). Professional Engineering Work. In A. Johri & B. M. Olds (Eds.), CHEER: Cambridge Handbook of Engineering Education Research New York, New York: Cambridge University Press.3. Johri, A., & Jesiek, B. K. (2014). Global and international issues in engineering education. In A. Johri & B. M. Olds (Eds.), CHEER: Cambridge Handbook of Engineering Education Research New York, New York: Cambridge University Press.4. Kolmos, A., & Graaff, E. d. (2014). Problem based and project based learning in engineering education- merging models. In A. Johri & B. M. Olds (Eds.), CHEER: Cambridge Handbook of Engineering Education Research New York, New York
the data: Students focused on a system or structure: 80From the data: Percent of students focused on a specific material: 12From the data: Percent of students focused on a specific part: 4From the data: Percent of students omitting societal effects of their system: 20From the data: Percent of students desiring group logistics: 12Students commented that the LCA activity sequence was valuable, as shown in the samplesbelow: “It was cool to actually be involved in the engineering aspect of a current world problem.” “The most enlightening aspect of this project for me has been researching and understanding the life cycle of a structure or piece of
knowledgeregarding its use.4 However, it is a general test and does not assess discipline-specific issues.16 There have been several attempts to develop engineering-specific tests to assess moraljudgment. At conferences in 2003 and 2004, initial results of a study to develop a test werereported.11,15 The reports seemed promising, but Barry and Ohland reported that the principalinvestigators were no longer working on the project and had no immediate plans to resume thestudy (p. 384).4 Davis and Feinerman developed a method of comparing ratios of pre- and post-tests Page 26.240.5developed by the instructor. This method allows instructors to customize
history, and more have beendiscussed at length in a previous work.[1] For those interested, the world of hierarchical linearmodels (HLMs) is an expansive space, and fundamental texts in the discipline describe it in adetail beyond this paper.[8, 20-31] If one is interested in starting a project in using HLM, two major Page 26.280.3pieces of advice can be offered. First, it would behoove the researcher to learn how to programthem from scratch as much as possible using an environment such as R or even a higherfunctioning one such as SAS. Specialized programs abound that offer easily-accessible results,but blind the researcher to important
conditions, the number of quizzes was 12, althoughonly the first 11 contained questions covering target objectives. All quizzes and study plan assignments were administered via an online system calledMyMathLab®, which is an interactive learning system developed and maintained by the Pearsontextbook publishing company. MyMathLab® includes an electronic copy of the coursetextbook, and additional types of media that provide course content such as videos, animations,presentation slides, and projects. MyMathLab® also includes the MathXL® engine which canpresent students with a problem similar to those in the exercise sets at the end of each section inthe textbook. Most problems are algorithmic, meaning that each time the question is presented
Page 26.377.6learners with the conceptual information, the verbal learners with explanations and derivations offormulas, and the sequential learners with the logical flow of engineering economy topics. Forthe global learners, the presented material was always linked to previous and future material inthe course and to the students’ personal experiences. Following the mini lecture, hands-on smallgroup problem solving was employed to assist both the active and sensing learners with theengineering economy concepts. The time value of money concept was applied to both real-lifeengineering projects and student’s personal finance decisions such as student loans, car loans,credit cards, etc. Daily quizzes (individual and team) were
. Page 26.381.7Student performance on a graphics exam in a first-year engineering course required by allengineering majors at Michigan Tech was compared for students taking the PSVT:R on paperand through the LMS to determine if there was a difference in spatial ability between thesegroups. In the first-year engineering course, ENG1101, approximately five 1.5 hour classsessions are spent on sketching topics, followed by an exam. The graphics topics covered in thiscourse include isometric and oblique sketching, orthographic projections of normal, inclined, andcurved surfaces, rotations, reflections, and planes of symmetry. Students scoring 60% or belowon the PSVT paper and LMS versions were excluded from this analysis because they wererequired to
://subjectguides.library.american.edu/citation 6. References should be linked by numbers or name(s) of the authors in the textPRESENTAION (3 Points) 1. Presentation is on , but submit the electronic copy on or before . 2. 3-min Power Point Presentation on your project (3 Points) Five-Six slides including title slide Tentative contents and the structure of the report a. Title b. Issue c. Introduction d. Data e. Analysis f. Conclusion g. References Page 26.394.13
students reportedmoderate to great learning gains because of their interaction with the faculty, engagement ingroup work and hands-on activities during class, and discussion of course learning goals.In the current paper, we discussed our theoretical framework, analytical methodology, andpreliminary findings. Our future work includes continuing to analyze data from the first year ofthe project. Also, over the next three years, we will collect and analyze data from future offeringsof the Structures course and from the two other courses at our partner institutions.References 1 PCAST (2012). Report To The President Engage To Excel
phenomenon. One researcheradequately summarized the need to increase female enrollment in engineering into three themes:social, economic, and practical. The social impact of increasing female enrollment is to correctthe historical imbalance created by society historically disallowing women into “masculine”fields. Economically, the United States would benefit from increasing the number of females inengineering because the current system is matriculating fewer engineers than the workforcedemands, which is resulting in the outsourcing of engineering projects to foreign countries.Lastly, it would be practical to increase the number of female engineers in order to increasediversity which has been found to an increase of innovation (Su, 2010).Engineering
caring describes empathy in terms of actions carried out byindividuals or groups. Empathy as a special relationship defines it as a reciprocal relationshipdeveloped over time between two individuals when empathy is present, cultivated, and visible.Based on a thematic analysis of the results, empathy as a human trait was seen by facultymembers to be inherent in certain acts such as participating in team projects. It’s value as a stateof being was that it provided greater opportunities for academic or professional success. It wasvalued as a communication process in that it enhances the ability to communicate, which isimportant in team activities and responding to clients. Empathy as caring was the way most of theparticipants in this study
is astraightforward and useful tool for engineers and technicians who deal with measurement systemand data collection in their job functionalities17. Research in this area is quiteactive5,9,11,15,20,21,24,27. It is also commonly used in Lean Six Sigma projects as a part of theMSA1,28,29. Rosenkrantz conducted a survey to executives in the American automotive industryto assess the values of several quality tools and statistical methodologies23. Among the 306executives, more than 70% responses indicated that GR&R is the methodology most often usedby their organization. This percentage was on the top of the list of 17 quality tools and statisticalmethodologies commonly used in industry.Teaching GR&R to engineering and engineering
students from the University of Liberia and the University of Michigan in collaboration with the Society of Women Engineers and the University of Michigan. She is also working on an engineering education research project – Towards a global network of women engineers, as part of her endeavors in Liberia.Dr. Aline Cotel, University of MichiganElizabeth Frances Cloos Dreyer, University of Michigan Elizabeth Dreyer is a 4th year Electrical Engineering – Optics doctoral student at the University of Michi- gan in Ann Arbor, MI. She graduated with a Bachelor’s degree in Electrical Engineering in 2012 from Michigan Technological University in Houghton, MI. She is particularly interested in Optics & Photonics and the
days before they are due 1 5. Talk about concepts with study group 1 6. Study sessions with other students 1 7. Outlet for stress 1 8. Create constantly updated to do list 1 9. Work on personal projects outside of school 1 10. Internship 1 11. Be flexible 1Several of these activities are closely related to 4.0 Plan principles.Discussion of Survey ResultsTable I shows
project based power electronics course with an increased content of renewable energy applications,” R. Belu, Proc. 2009 ASEE Annual Conference and Exposition, AC2009-792, Austin, Texas.11. “Building a modern power electronics and electric machines laboratory,” K. Chen and A. Stankovic, Proc. 2007 ASEE Annual Conference and Exposition, Honolulu, Hawaii.12. “State of the art power electronics, electric drives, and renewable energy systems laboratories at the university of North Dakota,” H. Salehfar, Proc. Power and Energy Society General Meeting, 2005, pp. 261- 265.13. “Grainger power electronics and motor drives laboratories at Illinois Institute of Technology,” A. Emadi, Proc. Power and Energy Society General
. He received the B.S. degree in mathematics from Rose-Hulman Institute of Technology and the M.S. and Ph.D. degrees in electrical engineering from the University of Minnesota, Minneapolis. He was an Assistant Professor, Associate Professor, and Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology. At Rose-Hulman, he co-created the Integrated, First-Year Curriculum in Science, Engineering and Mathematics, which was recognized in 1997 with a Hesburgh Award Certificate of Excellence. He served as Project Director a Na- tional Science Foundation (NSF) Engineering Education Coalition in which six institutions systematically renewed, assessed, and institutionalized innovative
al.implemented flip classroom to promote active learning opportunities in classroom by assigningreading and videos for students to study at home before coming to class. [7, 8] More recently, Loveet al., used inquiry based learning to engage students at different universities in a flippedclassroom. [9] Little et al. presented a literature review and provided UK based case studies for asmall scale flipped classroom project and also discussed under-represented staff experience for theduration of this study. [10]Our revitalized course differed from a traditional in-class and a complete online course in thefollowing ways: (1) Lectures were summarized in 15-20 minute videos that included importantconcepts from the chapter/topic, one/two worked examples, and 3
pedagogical deficiency, because they have beenlargely course-based efforts. Successful first year course reforms range from a one-credit,voluntary introduction to engineering course at the University of Florida6 to fully integrated first-year block curricula, such as Drexel’s E4 program7, the IMPULSE program at Massachusetts-Dartmouth8, the Engage program at Tennessee9, and the NSF-sponsored Engineering EducationCoalition program10. Many ECE programs have adopted separate courses/modules that includemore hands-on and project experiences for freshmen to enhance the learning experience. Whilethese efforts have been successful at improving first year retention rates, they have notsignificantly addressed the long-term graduation rates or attrition from
key to multidisciplinary engineeringpractice? A physical model of a design concept, based on simplifying assumptions (whichchange as the project progresses and one learns better what effects matter more than others), iscreated. This is an approximation of the real system and a hierarchy of models is possibledepending on the reason for modeling (see Figure 2). Laws of nature (e.g., Newton’s Laws,Maxwell’s Equations) are applied to the model, along with component model equations, togenerate the equations of motion for the multidisciplinary engineering system. These equations– nonlinear and coupled – are solved with Simulink, SimMechanics, SimHydraulics, LabVIEW,etc. to predict how the model will behave when various inputs – desired and
students to engage inSTEM careers.References1. Hartman, H., & Hartman, M. (2006). Leaving engineering: Lessons from Rowan University's college ofengineering. Journal of Engineering Education,95(1), 49-61.2. Bottomley, L. (2015). Assessing the Success of Programs for Women in Engineering. Proceedings of AmericanSociety for Engineering Education. Seattle.3. Felder, R. M., Felder, G. N., Mauney, M., Hamrin, C. E., & Dietz, E. J. (1995). A longitudinal study ofengineering student performance and retention. III. Gender differences in student performance and attitudes. Journalof Engineering Education, 84(2), 151-163.4. Goodman, I. F. (2002). Final Report of the Women's Experiences in College Engineering (WECE) Project. OnlineSubmission