Perhaps a Shift in Direction in Engineering Management Education: A Discussion and Work in Progress of Adding Data Modeling Topics to the Foundation of an EM CurriculumAbstractTraditionally, the Engineering Management body of knowledge contains topics such asproject management, financial resource planning, and the management of technology, etc.But are these traditional tools enough to prepare an Engineering Management student forthe ever more technologically complex and data driven corporate world of the 2020’s?More recently systems engineering concepts have been added to the EngineeringManagement Body of Knowledge. Is this now enough? Stevens Institute of Technologythinks not. Over the past few semesters, Stevens incorporated more
evaluate the labs completed by other students. Spring 2014: The class size was smaller, and so more topics were covered with new assignments. Plan to incorporate them into next semester’s class. Added two drawing interpretation assignments. Although difficult, students thought this helped to increase their ability to read and interpret drawings.Appendix C. Summary of PI Results and Interpretations for Oral Communication. SO6a. Oral communication Performance Indicators (PI) PIa. Speak with proper language and effective
least not until the project was over. Instructors rarely, if ever, learned about problems earlyenough to intervene. Students repeatedly told us that it was not worth going to the instructor todiscuss team problems. Furthermore, there was a general sentiment that problem teammates areinevitable and there is little an instructor is willing, or even able, to do.This sense that slackers and other problem teammates are inevitable was also expressed by manyof the faculty Hunter (2009) interviewed. However, as we already established, many problemswith slacker teammates—and, to a lesser extent, problems with exclusion—could have beenprevented with clearer planning and communication about expectations. Such problems can beeasily resolved by teaching
industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Sci- ence (CS), Engineering (E), Mathematics (M), and Science (S). Currently, Dr. Kappers is the Program Chair/Assistant Professor of the M.S. in Information Security & Assurance (MISA) within Embry-Riddle Aeronautical University’s (ERAU) College of Business, Worldwide Campus, and teaches within the Col- lege of Engineering for the Daytona Beach Campus of ERAU. Teaching responsibilities include: RSCH 202 – Introduction to Research, CS120 – Introduction to Computing in Aviation, and MISA Program Curriculum as needed. Both positions allow her to stay focused upon real-life educational and
electronic content. We also encounter difficulty with insufficientenrollment of students from a specific major or skill to make an interdisciplinary design team.Several case studies illustrate our lessons learned, and plans to do more and bettermultidisciplinary senior capstone design projects for the future.IntroductionMixing students from different departments in the College of Engineering, and from differentcolleges such as Business and Law, into senior capstone design teams, has been a practice forsome years [1,2]. Many engineering educators have employed combining students fromEngineering and other academics disciplines in senior capstone design courses [3-6]. Someeducators believe engineering schools should not be divided into disciplines and
represent the sources of stated student outcomes. The revised course selection(except for one) represents students in the last two years in the curriculum. The associated data collection plan for each outcome, as shown below in Table 3 below, is to have at least one course in the engineering common core to ensure that all students regardless of their area of concentration, electrical engineering or mechanical engineering, are in the sample. The courses being listed below are to (1) illustrate the selection process in order to achieve the desired distribution of curriculum to be assessed, and (2)demonstrate the inclusivity of desired student population in the measurements
decrease in score (lab #2 tolab #3) and then minimal increase for the final lab assignment (lab #3 to lab #4). Whentransitioning from lab #2 to lab #3, students were required to write all sections of the lab, whichmay detract effort from other sections of the lab leading to the decrease in score. The minimalincrease we see in score from lab #3 to lab #4 may indicate growth in all sections. In the future, we plan to continue evaluating writing samples in our database, approximately120 so far, while adding more writing samples to the database from other courses utilizing thesame template. Once all samples are graded, we will be able to assess graduate student writingskills and undergraduate writing skills. Additionally, within our graduate
videoFigure 12: 3 Ask a questionFigure 13: 4 Write fileLessons Learned and Conclusions • Find the right balance of the output volume for the display. The users need to be able to hear the video, but the level should be respectful of nearby labs/offices. For this particular display, it is located amongst many research labs and so it was not too sound sensitive. Still, the sound was frequently adjusted by others through the TV volume controls. • Find a way to disable auto-updates on the host computer, instead make a plan to manually update software as needed. The auto-updates on this computer required the user to approve the update. As such, it stalled the video display by having the pop up window on the other
of this potential program that students will be moreinformed about the engineering profession and promote interest in pursuing an engineering andtechnology career in the future.Bibliography1 Ali, R. (2015) Trinidad and Tobago: Education Reform and Societal Mobilization. Accessed January 24th, 2016from http://www.coha.org/trinidad-and-tobago-education-reform-and-societal-mobilization/#_ftn12 Kassim, H., A.Dass, and T.Best (2015). Higher Education and Statistical Review: Issues and Trends in HigherEducation, 2013. The University of the West Indies, University Office of Planning and Development. AccessedJanuary 26th, 2016 from http://www.uwi.edu/sf-docs/default-source/uopd---general/hesr2013--issues-and-trends-in-higher-education-march2015
Partner interviews, we heard them talk about their work in ways that suggest thatboth scientific and engineering habits of mind, like observing, trying out different plans todetermine which is best, weighing different tradeoffs while developing a prototype, all as part oftheir making processes. These weren’t simply mindless activities, or things that people weredoing in the same way at all times; they were tinkering, experimenting, and working out the bestmethods to develop the best products possible given the materials they had on hand.Discussion: (M)aking vs (m)akingIn this paper, we have argued that while the Making has great potential to provide pathways toscience and engineering careers for many audiences, the ways in which the Maker
agenda. Our future work includes a means to have students systematicallyreflect on their engineering assets and connect these to their developing engineering identities.As we integrate new engineering design challenges into early coursework, we plan to explore theimpact of both of these efforts on student persistence.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.EEC #1544233. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References1. Atman, C.J., et al., Moving from pipeline thinking to understanding pathways: Findings from the academic
improvement even thoughinteractive images was not provided.In addition to the interactive images, instructional videos have been developed so that anystudent can recreate the results shown in Figures 1 and 2, and apply the techniques to anymember and its particular loading condition. This will provide students with a betterunderstanding of the software, as engineering students need to use it frequently throughout theircourses, while encouraging them to develop these models for their own visual comprehension ofvarious concepts. Finally, these models are fantastic tools for verifying answers to homeworkproblems. The authors also plan to expand their library of members and loading conditions.Once the library of interactive images is fully developed, the
proficiency) to “10” (highlevel of proficiency) in…1. …handling laboratory equipment, measurement tools and software for experimentation. (1)2. …identifying strengths and weaknesses of engineering specific theoretical models as a predicator for real material behavior. (2)3. …planning and executing common engineering experiments. (3)4. …converting raw data from experimentation to a technical meaningful form. (4)5. …applying appropriate methods of analysis to raw data. (4)6. …designing technical components or systems on Basis of experiments results. (5)7. …recognizing whether or not experiment results or conclusions based on them “make sense”. (6)8. …improving experimentation processes on basis of
participating in the course was obtained from formal interviews at theconclusion of the course. The interviews were conducted by the adjunct professor responsible forteaching the course and the associate professor responsible for the course origination.Course feedback from the coordinators and instructors indicated that close, positive collaborationwas experienced throughout the course planning and teaching phases. Persistent efforts by theOEM professional engineer to visit the experimental lab frequently to work with studentsassigned to setup the experimental hardware enhanced course collaboration and allowed foraccurate experiments to be completed. The same engineer presented two guest lectures to theclass, further enhancing student-sponsor
: Medical Electronics in ElectricalEngineering Department. The course has 48 hours of instruction spanning over 16 weeks. This isa senior undergraduate course open to senior undergraduate students and masters students as anelective course. Prerequisite courses are Electronic Devices & Circuits, Signal Processing,Instrumentation and High School Biology (one week remedial lectures are planned to overcomethis deficiency, in case).4.1 Course DescriptionThe short introductory description provided to students is as follows:“This course provides an introduction to the emerging field of Medical Electronic i.e.application of Electronic System Designing for Medical Applications. These application rangesfrom diagnosis such as electrophysiological
Annual Conference in June 2015(Seattle, US). The second workshop was organized in Pnue, India, on January 10 during thethird International Conference on Transformation in Engineering Education (ICTIEE 2016).The next two workshops are planned for during the ASEE Annual Conference in June 2016(New Orleans, US) and in November 2016, during the World Engineering Education Forumin Seoul, Korea.3.4 Edited BooksIn 2011, members of GOLC published an edited book on online laboratories, titled InternetAccessible Remote Laboratories: Scalable E-Learning Tools for Engineering and ScienceDisciplines 3. The initiative was to document current developments in the multidisciplinarycreation of Internet accessible remote laboratories. This book offers
P kits havve been well--received byy students10.Plans forr the future are a four-fold. First, we will w evaluatee portable PL LC kits with the sensormodule. This will alllow students to see how sensors and switches aree incorporateed into real-lifeapplicatioons. Second, we will plaace some porrtable PLC kkits on reservve in the librrary so thatstudents can check th hem out as needed. n Thirdd, we will coontinue desiggning in-classs exercises andhomeworrk assignmen nts that inco o the PLC kkits with sennsor module to enhance orporate use ofexperienttial learning. Finally, wee will
categories; e.g., do not select affective as a learning domains category since it is a whole set if you also plan on selecting teamwork skills as a category. 4. A learning domain category could contain skills sets which will not be utilized for PIs classification; e.g., affective learning domain category containing leadership, teamwork and professional ethics skills sets; leadership, teamwork and professional ethics will NOT be a learning domain category but will be classified as affective domain skill sets.Bloom’s 3 domains, cognitive, affective and psychomotor, are not absolute subsets of one another.They contain skills sets as prescribed by the 11 EAC ABET SOs which are not learning domainscategories. Therefore
cycle with the two codebooks. Two researchers then reviewed the analysis tocorroborate its trustworthiness20. Plans to expand this work include potential quantitative analysisusing frequency counts25, and expansion of data analysis using multiple coders24. TABLE 2: Aggregate codebook using Deakin Crick Et al.’s seven Dimensions of Learning Power 6 and emergent categories • Circle bullet Indicates preliminary definition Ø Arrow bullet Indicates emerging definition 1. Change and Learning (as opposed to stuck & static) • The extent to which students see themselves grow as learners Ø Take steps to expand their repertoire of learning skills 2. Meaning Making (as opposed to data accumulation) • Links to prior learning (what
applicationsfrom our targeted institutions we are planning recruitment visits for each school, which hasworked well in the past. For the 2016 summer, we have visited three partner institutions and thefourth one is being scheduled. As seen in Table 2, the drop in the percentage of applicants fromour partner institutions can be explained by the increase in applicants in 2015. The actualnumber of partner institution applicants is similar.The preliminary data on home institution mentors is promising as students have found itbeneficial and have continued interactions beyond the summer program. Even though the 2014cohort had limited pre-program interactions, the quality of the mentoring relationship can be seenby the post-program response (three students
Paper ID #16951Teaching Engineering Design in an Academic Makerspace: Blending Theoryand Practice to Solve Client-based ProblemsDr. Vincent Wilczynski, Yale University Vincent Wilczynski is the Deputy Dean of the Yale School of Engineering and Applied Science and the James S. Tyler Director of the Yale Center for Engineering Innovation & Design. As the Deputy Dean, he helps plan and implement all academic initiatives at the School. In addition, he manages the School’s teaching and research resources and facilities. As the James S. Tyler Director of the Center for Engineer- ing Innovation & Design he leads the
, Nicaragua. The workshops wereorganized in collaboration with the Nicaragua-based nonprofit organization, the FabrettoChildren’s Foundation, with the objective of helping rural area students and teachers elaborate onnew ventures based on a product or service to address their community’s needs6.Research suggests that problem-based instruction and active learning strategies improvestudents’ overall problem solving skills7. The total number of workshop participants consisted of20 students and 5 teachers. Although we had previous workshop experience in the United Stateson the topics of idea generation and business plan development, adaptations to various workshopcontent and examples were made in order to assimilate the Nicaraguan culture and better
. Pose a research hypothesis 5. Break down a problem into sub-problems 6. Apply math and science skills to solve a research problem 7. Formulate a research plan, design experimental setup or numerical simulation 8. Conduct research, draw conclusions, and document results (figures, tables, plots, images) 9. Ability to learn from past mistakes and avoid future ones 10. Challenging/correcting mentor/peer who may have made a mistake 11. Communicate results to a diverse audience (mentor/peers/family members) 12. Report results in a written report/technical paperConsultation with research mentors as well as consideration of students’ secondary schooleducation level led to the elimination of four items (1, 3, 4, 10) and
identified? By appropriate means? Prob Descrip. Is the design plan comprehensive and well-conceived? EDS Do the engineering design specifications ensure the design will meet requirements? Ideation Are the alternatives reasonable and comprehensive? Are necessary design inputs for interfacing equipment, facilities, utilities and/or Parametric Dsgn organizations specified? Have suitable materials, parts, processes, and inspection and testing criteria been Parametric Dsgn specified? Dsgn Analysis Appropriate design methods and computer programs used? Were
from the University of Arizona. He teaches courses on supply chain management, lean systems, decision analysis, designed experimentation, and systems design and optimization. His current research interests include on the education side development of simulations and cases for active learning, and on the modeling side supply chains and logistics management, and production systems planning and optimization, and applications in different industries.Dr. Agnes Galambosi, University of North Carolina at Charlotte Agnes Galambosi earned her PhD in Systems and Industrial Engineering from the University of Arizona in Tucson. She also holds two MS degrees: one in Systems Engineering from the University of Arizona in
, Milwaukee, WI, pp. T1H7-T1H13.[42] Trenor, J. M., Yu, S. L., Waight, C. L., Zerda, K. S., & Sha, T.-L. (2008). The relations of ethnicity to female engineering students' educational experiences and college and career plans in an ethnically diverse learning environment. Journal of Engineering Education, 97(4), 449-465.[43] Marra, R.M., Rodgers, K.A., Shen, D. & Bogue, B. (2009). Women engineering students and self-efficacy: A multi-year, multi-institution study of women engineering student self-efficacy. Journal of Engineering Education, 27-38.[44] Concannon, J. P., & Barrow, L. H. (2009). A cross-sectional study of engineering students' self-efficacy by gender, ethnicity, year, and transfer status
of the curriculum and teaching from the instructor’s perspective. Seldin11focuses on assessing plan, procedures, preconditions, and products as elements of teachingevaluation. Stevenson and Kokkinn12 propose a method of evaluation of teaching using lists ofevaluative statements. Ramsden and Dodds13 recommend the use of generalized questions inevaluation of content (what should be conveyed to the student) and structure (teaching methods).Recognizing that “[c]ommunication and collaboration with faculty are increasingly important inthe development of both curriculum-integrated and stand-alone “just in time” library tutorials,”Appelt and Pendell14 employ faculty feedback on tutorial structure, discipline-specific content,and content integration
(Lockheed Martin), he conducted research for Naval Reactors. He currently serves as the Walter L. Robb director of Engineering Lead- ership and as an instructor in Engineering Science at Penn State. Erdman has chaired the local Jaycees, Department of Social Services Advisory Council, GE Share Board, and Curling Club; and served on the Human Services Planning Council, United Way, Chamber of Commerce, and Capital Fund Drive Boards of Directors. Erdman has also lectured on leadership topics at Penn State and RPI. He returned to campus frequently as a recruiter (25 years) for GE and Lockheed Martin, serving on the Penn State College of Engineering Advisory Council, helped establish an Alumni Advisory Board, and currently
the assessment plan adopted by the department basedon the following principles: 1. The achievement of each SO is to be demonstrated by a primary course and possibly by a supporting course. Both courses must be from the systems engineering core component that is completed by all students. 2. The achievement of each SOs should include the assessment of all components of that particular SO. 3. The methodology of measurement should be straightforward, measuring directly the achievement of the SO by measuring the achievement of its component parts instead of by indirect means such as measuring the accomplishment of course learning objectives and then mapping the objectives to the SO. 4. Assessment methodology