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. Her current research interests include engineering education, enhanced heavy oil recovery and basic research in diffusion/dispersion mechanisms in porous media.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
that efforts have not been enough to strengthen thesecapacities among engineering students. According to Downey et al. (2006), the differentstrategies used by universities to promote global competency skills can be been classified as: a)International enrollment, b) International project, c) International work Placement, d)International Field Trips and e) Integrated class experiences 5. However, the proportion ofstudents participating in different international experiences across universities is still smallcompared to the total number of students 7. Page 26.1138.3In order to design and promote new interventions to influence the levels of global
Business-Higher Education F. Increasing the Number of STEM Graduates: Insights from the U.S. STEM Education & Modeling Project. Business-Higher Education Forum;2010.5 Church, A. STEM Mentoring--Aspiration to Achievement. NCSSSMST Journal. 2010;16(1):13-14.6 Strayhorn, T.L. & Terrell, M.C. The Evolving Challenges of Black College Students: New Insights for Page 26.1146.10 Policy, Practice, and Research. ERIC; 2010.7 Snead-McDaniel, K. Exploration of the Lived Experiences of Undergraduate Science, Technology, Engineering, and Mathematics Minority Students, ProQuest LLC; 2010.8 Redmond, S.P
workstations. Max (A)= (MTBFj- Availability MTTRj)/ MTBFj Utilization of each workstation as well as the average Utilization utilization of the FMS specified periods (days, weeks, Max(U j) = Q j / PCj mouths) Tooling Information on various aspects of tool control,This project uses a hypothetical case problem for designing a factory that produces 5 parts. Theseparts run through a series of processes, including: (1) Loading/Unloading, (2) Turning, (3)Milling, (4) Drilling and (5) Cleaning, with different machining sequences6. A list of workstationprocessing
includesa 1-credit course devoted to selection of an engineering major. This includes hands-on activitieslead by faculty and industry professionals to learn about each of the engineering disciplinesoffered.At the Private institution, the students are exposed to a basic engineering design process throughmulti-week projects that are not intended to aide in engineering discipline selection. However,students complete a series of homework assignments throughout the semester that aid inselecting their major, understanding engineering career options, and integrating into the Collegeof Engineering.At the Large Land Grant, the students are exposed to a variety of engineering disciplines throughweekly laboratory experiences, but selection of a major is not a
’s.Over 90% of students indicated that a primary purpose of exams should be to measure mastery ofconcepts, and nearly 80% indicated that measuring what a student had learned should also be aprimary purpose. By contrast, only 12% of students indicated that “distinguishing exceptionalstudents from others” should be a primary purpose. These results are at odds with the assumptions ofleft-of-center grading, which prioritizes distinguishing among different groups of students and onlyindirectly seems to measure a student’s mastery of course content or learningIntroductionIn the course of interviewing students for a project on gender and interpersonal communicationin engineering, we began to observe a trend of negative reactions to a common
the lab projects and earn an overallweighted exam average of at least 60% in order to receive a passing grade in the course. Thegrade was based upon the criteria in Table 1. Table 1: Electrical Systems Course Grading Criteria Midterms 36% Final Exam 26% Homework 10% Labs and Memos 15% Lab Practical Test 5% Quizzes 5%The course topics were based upon Kirchhoff’s voltage law and Kirchoff’s current law. Thetopics included node voltage method
0.58 *I can produce professional documents for job 3.33 4.17 0.83 searching (resume, cover letter) with ease. *I am confident and comfortable in daily professional communication (e.g., e-mail 4.08 4.50 0.42 writing, informal presentations to a project team, progress updates to supervisor). *I am confident in editing and providing 3.67 4.33 0.67 constructive feedback of my peers’ work. I would like to improve my writing skills. 3.75
. According to the2011 American Association of Community Colleges report, 44% of African American studentsattend community colleges. Many community college students hope to transfer into 4-yearinstitution to complete a baccalaureate degree.There is a desire and determination to facilitate student transfer from community colleges into 4-year institutions. That being acknowledged, it is hard to miss the deficit lens through whichAAM student populations are viewed. AAM students are often portrayed as victims; blamed fortheir lack of success, persistence to degree, or not transferring to a 4-year institution; orportrayed as academically underprepared and require taking academic developmental courses1,2.These unsuccessful performances, project blame or
) makes SimCalc MathWorlds © (hereon SimCalc) software with potential to transformthe way mathematics can be learned5,6.The main idea that motivated the creation of SimCalc project was to foster and enrich theMathematics of Algebra and Calculus, and simultaneously give students an early access toimportant concepts. According to Burke, Hegedus y Robidoux7, the SimCalc design team(including researchers, software developers and teachers) sought not only improve existingschool curriculum, but also transform it with activities that would not be possible without the useof technology. In order to do so, a key element in SimCalc is its representational infrastructurethat allows observing different representations (graphical, algebraic, tabular
“strongly agree”, and presented aninternal reliability of .9117. The third and final part was a 27-item survey in which demographic,academic and professional background, and contact questions were included. Demographicinformation was not included in the scores, but was used for profile representativeness analysis.Academic and professional backgrounds, which included open ended and multiple selectionquestions, were used to score STEM background. Contact information was not taken intoaccount for this study; this information was intended to be collected for a second stage of theresearch project, and therefore was outside the scope of this paper.Method of AnalysisCluster analysis was used for outlier and critical-groups identification. In addition
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