to measure what is the impact of the students receiving training andthe model, against the ones that didn’t. In addition, we will use a mixed methods approach tocollect data qualitatively. An interview protocol is being developed based on the preliminaryresults of this survey in order to better capture students’ experiences of receiving teamworktraining while developing a complex design project.ReferencesAdams, S., & Ruiz, B. (2004). A Framework for Team Training in the Classroom. American Society for Engineering Education (ASEE), 181-195.Adams, S. G., Vena, L. C. S., Ruiz-Ulloa, B. C., & Pereira, F. (2002). A conceptual model for the development and assessment of teamwork. American Society for Engineering
% 81.52% 31.71 College GPA 1 35.717 35.7174 0.000 PT 1 84.352 84.3517 0.000 Gender 1 4.740 4.7395 0.029 Error 125 23.705 0.1896 Total 128 144.531Odds Ratios for Continuous Predictors Odds Ratios for Categorical Predictors Odds Ratio 95% CI Level Level A B Odds Ratio 95% CI College GPA 23.5598 (3.9198, 141.6068) PT
had to study are practised in different companies. To learn those at young age is a all aspects of the new process and business impact. step forward in personal career. A requirement for the project proposal was to provide plan “B” andGenerate alternative engineering evaluations for the company and its functions. Research is largely used by engineers with everyday challengesand managerial solutions and This is very common in our
difference.For Metric #2, however, the grade distributions (90% and above = A, 80% and above = B, etc.),shown in Fig. 1, are different in Fall 2014 and Fall 2015. Grade Distribution, % 60% 50% 40% 30% Fall 2014 Fall 2015 20% 10% 0% a b c d Figure 1. Students grade distributionAfter introduction of additional active learning, problem-based techniques, the percentage of Agrades increased from 19% to 25%, the percentage of B
. [20] developed a method for monitoring course stability based on the ParetoDistribution and Bloom’s Taxonomy for formulating scorecard metrics for course outcomes.Course outcomes are stable when 80 % of student grades were C or above and the average gradefor course outcomes and course grade was B for students who made C or above on each metric.Rationale for the B average was student eligibility for the Hope Scholarship. The dotted line ofthe 80th percentile in Figure 13 indicates compliance issues for category 3 and 4 students.The results of a pair-wise chi squareanalysis of grade distributions for studentclassifications in Table 2 indicatesignificant differences in spatial pairing ofstudent categories. Distributions arestatistically
Applied Psychology, 89(3), 416–27.Heltzel, B., Workplace bias felt in ‘a thousand cuts’. Westchester County Business Journal, MAY 9,2016 | VOL. 52, No. 19Kastner, Westman & Wilkins, Respondent’s Position Statement, Page 2, June 15, 2017.McCauley-Bush, P., Transforming Your STEM Career Through Leadership and Innovation, 1st Edition.Academic Press, 2012.No author, Teaching Tolerance, What are Gender Stereotypes?, https://www.tolerance.org/classroom-resources/tolerance-lessons/what-are-gender-stereotypes, accessed 1/23/2018.Phelan, J. E., Moss-Racusin, C. A., & Rudman, L. A. (2008). Competent yet out in the cold: Shiftingcriteria for hiring reflect backlash toward agentic women. Psychology of Women Quarterly, 32(4), 406–13. doi:10.1111/j
capability analysis, measurement systemanalysis, specification and tolerances, and acceptance sampling plans. Students typically take thiscourse in the second year of their masters program. The course learning outcomes are (a) Defineconcepts in quality and quality management; (b) Apply statistical tools in analysis andapplication of Statistical Process Control; (c) Produce and employ control charts; (d) Explainsampling process; and (e) Design acceptance sampling procedures for quality control.The course work and activities typically include a term paper, a term project, homework, in classexercises and discussions, quizzes and two exams (midterm and final). During the study periodthe author added the library training and a factory visit to the class
). Nurturing affinity spaces and game-based learning. In C. Steinkuehler, K. Squire & S. Barab (Eds.), Games, Learning, and Society: Learning and Meaning in the Digital Age (pp. 123-153). New York, NY: Cambridge University Press.Grohs, J. R., Maczka, D. K., Soledad, M., & Bagalkotkar, K. K. (2016). Exploring the Feasibility of an Educational Computer Game as a Novel Means of Assessing Problem Solving Competencies. Paper presented at the 123rd ASEE Annual Conference & Exposition, Now Orleans, LA.Hazelrigg, G. A. (1998). A Framework for Decision-Based Engineering Design. Journal of Mechanical Design, 120(4), 653-658. doi: 10.1115/1.2829328Johri, A., & Olds, B. M. (2011). Situated Engineering
contingency tracking and resolution.The main objectives of risk monitoring and control phase are to: (a) systematically track theidentified risks and the effectiveness of their associated response and mitigation plan, (b) identifyany new risks, and (c) capture lessons learned for future risk assessment efforts.13It is noteworthy that risk management is not a process that we go through only once, rather it is astructured, consistent, and continuous process across the whole organization studied.14 Suchcontinuation has been illustrated in Figure 1 by using a feedback loop from the risk monitoringand control phase to the risk identification phase.The dynamic society in which we live is full of uncertainties. The component of risk is present inall systems
quality process analysis and was offered as a technical elective in an engineering technologyand management program. The course included both traditional components (classroom lectures,homework, and in-class work), as well as the project component. Below is information related tothe scope of the project: 1. Each of the assigned projects was open-ended with no known solution 2. Engineering laboratories were utilized for making actual products. The three processes involved were: a. Thermoforming (plastics) b. Rotational molding (plastics) c. Additive manufacturing (3-D printing - plastics) It should be noted here that students engaged in a lab competency for any of the mentioned processes at the
generation. Traditional data processing soft wares are inadequate inanalyzing these large data set, and hence, Big data analytics has evolved that uses moderntechniques in processing the big data. Application of Big data analytics has been a recentdevelopment in the field of Business Process Management (BPM). The goal is to create a data-driven knowledge base to monitor, optimize, and forecast business operations. Some of thetechniques used to navigate Big data are A/B testing, machine learning, deep learning, naturallanguage processing, etc. Many research activities are being undertaken by industries,institutions, and governments in establishing new theories and technological tools to observe andmonitor Big data in real time and deploy data
Paper ID #12421Bringing a Viable Product to Investors Utilizing Senior Engineering StudentInternsDon Bowie P.E., Aurasen Limited Don Bowie is a Systems Engineer with an extensive background in engineering design and management, labor relations, and various academic positions. His undergraduate degree is in Electrical Engineering from the University of Illinois, with a Masters in Engineering from Seattle University. Mr. Bowie is an honors graduate from The Executive Program at the Darden Graduate School of Business Administration, University of Virginia. His engineering and management background spans four decades in
Paper ID #15880An Innovative Approach to Offering a Global Supply Chain Class for Engi-neering Managers in an International ContextDr. S. Jimmy Gandhi, California State University, Northridge Dr. S. Jimmy Gandhi is an assistant professor at California State University, Northridge. His research interests and the courses he teaches includes Quality Management, Lean Manufacturing, Innovation & Entrepreneurship,Sustainability as well as research in the field of Engineering Education. He has over 30 conference and journal publications and has brought in over $500K in research grants to The California State University
Paper ID #13509An Analysis of Engineering Credits in ABET Accredited Engineering Man-agement ProgramsDr. Paul J. Kauffmann P.E., East Carolina University Paul J. Kauffmann is Professor Emeritus and past Chair in the Department of Engineering at East Car- olina University. His industry career included positions as Plant Manager and Engineering Director. Dr. Kauffmann received a BS degree in Electrical Engineering and MENG in Mechanical Engineering from Virginia Tech. He received his Ph.D. in Industrial Engineering from Penn State and is a registered Profes- sional Engineer in Virginia and North Carolina.Dr. John Vail Farr
where: (a) the theory was taught, (b) aworkshop with a hands-on experience (the trigger material) was held, and (c) instructor-designedand/or industry-based projects were carried out, in sequence. This paper describes theinstructional design, its implementation, and evaluation in detail. For easy comprehension of thepaper, it is worth noting that sections 2 and 3 describe the literature survey and the methodologyfor the design of the delivery, while sections 4 and 5 describe the implementation of themethodology in the delivery.2 Literature ReviewThis section identifies and summarizes some relevant literature that was used in devising themethodology. Instruction is the intentional facilitation of learning towards identified learninggoals
Paper ID #11205Improving Undergrad Presentation SkillsDr. Gene Dixon, East Carolina University Gene Dixon is a tenured Associate Professor at East Carolina where he teaches aspiring engineers at the undergraduate level. Previously he has held positions with Union Carbide, Chicago Bridge & Iron, E.I. DuPont & deNemours, Westinghouse Electric, CBS, Viacom and Washington Group. His work expe- rience includes project engineer, program assessor, senior shift manager, TQM coach, and production reactor outage planner, remediation engineer. He gives presentations as a corporate trainer, a teacher, and a motivational
procedure described in the previous section for face-to-face and distance students.Given these characteristics, the researchers feel confident making comparisons between these twotypes of courses and conclude that the study has good internal validity.Objective learning outcomes: HW grades, participation grades, and test gradesFaculty Course Questionnaires (FCQ): The FCQ is a tool to evaluate the students’ perception ofthe benefits of the course and the quality of the professor. In compliance with the University ofColorado Board of Regents Policy 4-B, this voluntary questionnaire is administered to the studentsin each class at the end of the term. The questionnaire consists of a series of questions andaffirmations that students can answer or
valuable and least valuable lessons; • To suggest at least one improvement for the course; • To rate and comment on their team project experience; and • To rate the usefulness of what they learned in the course to (a) their current responsibilities or job, and (b) their future responsibilities/positions.Within the Master of Engineering Management program, faculty place great weight on studentfeedback on the usefulness of what they learn in each course. Recall that these students are allpracticing professionals, with an average of ten years’ professional practice. Accordingly, thejudgment of these students is grounded in substantial workplace experience. They have returnedto graduate studies to fill gaps that their preceding
. T., & Mumford, M. D. (2008). Development of outstanding leadership: A life narrative approach. Leadership Quarterly, 19, 312–334.15. Fisher, R., Ury, W. & Patton, B. (1981). Getting to YES: Negotiating an agreement without giving in. second edition. Random House Business Books. (2nd ed. 1991, 3rd ed. 2011). ISBN 9780395317570.16. Tekmen-Araci1, Y. & Mann, L. (2019). Instructor approaches to creativity in engineering design education. Proc IMechE Part C: J Mechanical Engineering Science, 233(2) 395–402.17. Jackson, N. (2017). Creativity in Engineering Education. Disciplinary perspectives on creativity in Higher Education working paper. The Higher Education Academy. .http://www.creativeacademic.uk/uploads/1/3/5/4
Paper ID #18620The Native Healthcare Engineering Internship: Interprofessional Approachesto Improving Rural HealthcareMs. Charlee Millett, Montana State University I’m an undergraduate nursing student at Montana State University. Originally from Anchorage, AK, and I am involved with Caring for Our Own Program (CO-OP), which is for American Indian/Alaska Native students.Dr. William J. Schell IV P.E., Montana State University William J. Schell holds a Ph.D. in Industrial and Systems Engineering – Engineering Management from the University of Alabama in Huntsville and M.S. and B.S. degrees in Industrial and Management Engi
in the Freshman Engineering Course.” 2013;(11-12):644. http://libproxy.udayton.edu/login?url=https://search.ebscohost.com/login.aspx?direct=tr ue&db=edsfra&AN=edsfra.27976806&site=eds-live. Accessed January 30, 2019.[5] B. Bowling, M. Doyle, J. Taylor, and A, Antes, “Professionalizing the Role of Peer Leaders in STEM.” Journal of STEM Education: Innovations and Research, 16(2), 30–39, 2015. Retrieved from http://libproxy.udayton.edu/login?url=https://search.ebscohost.com/login.aspx?direct=tru e&db=eric&AN=EJ1070122&site=eds-live[6] A Ilumoka, I. Milanovic, and N. Grant, “An Effective Industry-Based Mentoring Approach for the Recruitment of Women and Minorities in
Paper ID #23618Work in Progress: Impact of Exposure to Broad Engineering on Student Per-ceptionsKellie Grasman, Missouri University of Science & Technology Kellie Grasman serves as an instructor in Engineering Management and Systems Engineering at Missouri University of Science and Technology. She holds graduate degrees in engineering and business admin- istration from the University of Michigan, and began teaching in 2001 after spending several years in industry positions. She was named the 2011-2012 Robert B. Koplar Professor of Engineering Manage- ment for her achievements in online learning. She serves as an eMentor
Paper ID #31339Engineering Economy Taught Across Engineering Disciplines: Work inProgressDr. Brian Aufderheide , Hampton University Dr. Brian Aufderheide is Chairperson in Chemical Engineering at Hampton University. He completed his PhD in Chemical Engineering at Rensselaer Polytechnic Institute. His areas of expertise are in advanced control, design, and modeling of biomedical, chemical, and biological processes. He has consulted for both medical device and biotechnology companies. He was sole engineer and QC supervisor of a 40MM lb/yr custom extrusion company. He has over 15 years of experience in education developing over
Paper ID #30609Career Paths in Structural Engineering: What We Can Learn from the SE3(Structural Engineering Engagement and Equity) ReportProf. Christina McCoy SE, RA, Oklahoma State University Professor McCoy is a licensed Structural Engineer and Architect. She holds a Bachelor Degree in Archi- tectural Engineering and a Bachelor in Architecture from Oklahoma State University. She holds a Masters of Science in Architecture from the University of Cincinnati and Masters of Civil Engineering (Structural Emphasis) from the University of Kansas. She worked in the structural engineering profession for 10 years before joining
Paper ID #11485Blended Classes: Expectations vs. RealityDr. Susan L. Murray, Missouri University of Science & Technology Dr. Susan Murray is a Professor of Engineering Management and Systems Engineering at Missouri University of Science and Technology. Dr. Murray received her B.S. and Ph.D. in Industrial Engineering from Texas A&M University. Her M.S. is also in Industrial Engineering from the University of Texas- Arlington. She is a director for the EM Division of ASEE and a ASEM Fellow.Mrs. Julie Phelps, Missouri University of Science & Technology Julie Phelps has been an instructional designer at Missouri
Paper ID #31403Piloting an Undergraduate Engineering Mentoring Program to EnhanceGender DiversityMs. Elizabeth Hart, University of Dayton Beth Hart is a Lecturer for the University of Dayton School of Engineering Dean’s Office. She received her B.S. and M.S. degrees from the University of Dayton, both in Chemical Engineering. She currently teaches engineering design and oversees the Women Engineering Program, part of the Diversity in Engi- neering Center.Miss Andrea Mott, University of Dayton Andrea Mott is a graduate student studying Renewable and Clean Energy at the University of Dayton. She received a Bachelor’s in
, Distributor Sales and Branch Management, and Transportation Logistics. His research interests include improvement of supply chain efficiency through the application of technology and best practices for logistics and in- ventory management. Dr. Angolia is highly engaged with regional and national companies in recruiting students from ECU for both internships and full time positions. In addition to a PhD from Indiana State, he holds a Master of Engineering degree from Rensselaer Polytechnic Institute and professional certifica- tions of CPIM and CSCP from APICS, The Association for Operations Management, and a PMP from the Project Management Institute. Dr. Angolia also conducts consulting projects and professional develop
Paper ID #11315Developing ”Critical Thinking Skills” in Graduate Engineering ProgramDr. Shekar Viswanathan, National University Dr. Viswanathan is a Professor at the Department of Applied Engineering at National University, Cali- fornia. Dr. Viswanathan is an educator, researcher and administrator with more than twenty-five years of industrial and academic experience encompassing engineering and environmental consulting, research and development, and technology development. Career experience includes teaching at the University level, conducting fundamental research, and developing continuing educational courses.Mr. Ben D