Creating a Peer Advising Program to Increase Engagement with Pre-major Engineering Students (GIFTS)This GIFTS paper will describe how the Engineering Advising Center (EAC) within the Collegeof Engineering at a large mid-Atlantic university is actively creating a Peer Advising Program.The Peer Advising Program will serve as an innovative advising approach to increaseengagement of pre-major students within the College. Once admitted, Engineering students gothrough an entrance-to-major process and generally declare a specific major at the end of theirsecond year.The Peer Advising Program will meet the students’ need for information and provide a peersystem for this exchange. Peer Advisors will offer technical and low
., “Black racial identity theory,” in Black and White Racial Identity: Theory, Research, and Practice, J. E. Helms, Ed. Westport, CT: Praeger, 1990, pp. 9-32.[9] B. Tatum. "Why Are All the Black Kids Sitting Together in the Cafeteria?" And Other Conversations About Race: Basic Books, 1997.[10] M.J. Ross, Success Factors of Young African-American Males at a Historically Black College, Westport, CT: Bergen & Garvey, 1998.[11] C. Steele, “Stereotype threat and student achievement” In Young, Gifted, and Black: Promoting High Achievement Among African- American Students, T. Perry, C. Steele, and A. Hilliard, Eds., pp. 109-130. Boston: Beacon Press, 2003.[12] K.W. Reid, Working Smarter, Not Just Harder: Three Sensible Strategies for
detached from such a situation. We intentionally developed activities thatchallenge students’ thoughts and beliefs, so they connect their actions as students to their lives asworking professionals.We first examine ethics on a global scale by considering engineers’ roles in promoting globalhealth and wellbeing through sustainability. Students learn about green design andmanufacturing strategies through assigned readings, a video on cradle-to-cradle design, andgameplay. Students play the In the Loop ® board game, which teaches players about the finiteresources necessary for devices such as LCD screens, MRI machines, and wind turbines [1].Throughout the game, players develop strategies to manage limited resources using circulareconomies. A reflective
communication. We use CATME’s Teambuilder software [2] to form teamswith students that span the different domains. The optimization can be set to favor groups withdissimilar Strengths domains among members.Students also complete assignments designed to effectively highlight the advantages of adiversity of strengths within their team and devise strategies for effective communication.Specifically, they receive training on how to understand, communicate with, and work withteammates who have varied strength profiles. Students recognize how their unique attributesposition them for meaningful and valuable contributions to their group. This understanding isexpressed through a question on the first page of the team contract as groups describe theirrationale
GIFTS: MAJOR exposure through engineering innovationsAs a first-year engineering instructor on the first day of class, someone invariably asks whatdiscipline of engineering they should go into. Not knowing the particular background of theseindividuals, it is difficult to give them meaningful advice on the spot. First-year students (andtheir parents) have an expectation that the first-year course will “help” them decide whatdiscipline the student should major in. However, introducing students to various fields ofengineering may not be the main foci of the course, as many first-year programs have evolvedtowards the inclusion of curricular content such as design, entrepreneurship, writing, and/orprogramming. This leaves little
people who define problems differently,” Journal of EngineeringEducation, 95(2), pp. 107-122, 2006.[5] D. K. Deardorff, “Identification and assessment of intercultural competence as a studentoutcome of internationalization,” Journal of studies in international education, 10(3), pp. 241-266, 2006.[6] B. Hunter, G. P. White, & G. C. Godbey, “What does it mean to be globally competent?”Journal of Studies in International Education, 10(3), pp. 267-285, 2006.[7] Z. Skrbiš, “Coming to terms with cosmopolitanism, global citizenship and globalcompetence,” in IEAA national symposium: Fostering global citizenship and global competence,Melbourne, August 22, 2014.[8] UN General Assembly, Transforming our world: the 2030 Agenda for SustainableDevelopment
control systems and human-machine interactions.Dr. Steve C. Hsiung, Old Dominion University Steve Hsiung is a professor of electrical engineering technology at Old Dominion University. Prior to his current position, Dr. Hsiung had worked for Maxim Integrated Products, Inc., Seagate Technology, Inc., and Lam Research Corp., all in Silicon Valley, CA. Dr. Hsiung also taught at Utah State University and California University of Pennsylvania. He earned his BS degree from National Kauhsiung Normal University in 1980, MS degrees from University of North Dakota in 1986 and Kansas State University in 1988, and PhD degree from Iowa State University in 1992. Steve can be reached at shsiung@odu.edu.Mr. Matthew B. Kersey
Paper ID #25680Enhancing Student Perceptions of Engineering Disciplines through Showcas-ing of Career PathsProf. Matthew B. James P.E., Virginia Tech Matthew James is an Assistant Professor of Practice in Engineering Education at Virginia Tech, and is a registered Professional Engineer in the State of Virginia. He holds bachelors and masters degrees from Virginia Tech in Civil Engineering.Kacie Hodges P.E., Kacie Hodges, PE works as a Civil Engineer in Blacksburg, Virginia. She holds BS and Master’s degrees in Civil Engineering from Virginia Tech. Kacie is a licensed Professional Engineer in the State of Virginia and
on the serial link to the Arduino. TheArduino turns on a LED and returns the message “job done”. MATLAB Script Adruino UNO Fig. 3 Arduino-MATLAB InterfaceLab 1 b) -Long-Distance Serial Link Between Two Arduino DevicesIn this part, MATLAB engine on the transmitter side TX is connected via wire-link toanother MATLAB engine on the receiver side RX. MATLAB TX prompts theArduino TX to supply the instruction code to blink an LED on the long-distancereceiver side Arduino RX. The Arduino TX lights up an LED to indicate that it hasreceived the prompt. It sends the required code to the MATLAB TX and turns off
when variation exists in the process.As shown in Figure 1, the five components (A, B, C, D, and E) are assembled together create thefinal product. If the worst-case scenario is used, the assembled product would be assumed tohave as large of the tolerance as the sum of the individual tolerances or ±0.075 inches. If thedesigner would like to keep the tolerance as ±0.050, then tighter tolerances for componentswould be sought. If this is applied to all components equally over the five assembledcomponents, then the tolerance of each component will have to be set to ± 0.010 inches whichwould increase the cost of components, perhaps unnecessarily.Using the RSS method, the variation of the assembled product is calculated using the squaredvalues of the
magnitudes andphases while the third phasor V3 is specified as a complex vector.Three phasors: V1=10 30 V2=5 60 V3=10-j16Phasor addition Vadd =V1 + V2 +V3MATLAB Code __________________________________________________________________V1=phasor(10, 30); V2=phasor(5, 60); %defining two phasor objectsV3=phasor(10, -16, 'x2ph') ; %defining two phasor objectsVadd=V1+V2+V3; %Algebraic addition of phasor objectsphplot([V1, V2, V3, Vadd]) %Fig. 1(a) plotting phasors on the complex planeVadd=add_graph(V1, V2, V3) %Fig. 1(b) Graphical Addition of PhasorsVadd = phasor with properties: Mag: 18.3389 phase: -6.2094%Representing phasors V1, V2 and Vadd can be visualized in the triangular
................................................................................................................................... iiiI. INTRODUCTION ........................................................................................................................1II. SYSTEM DESCRIPTION ..........................................................................................................2 1. Overview by Block Diagram ....................................................................................................2 2. Vehicle Components and Data Collection ................................................................................2 a. Boe-Bot Chassis(1) ...............................................................................................................2 b. Fiberglass Platform(1
, Engineering Technology Education in the United States, National Academies Press, Washington, D.C., 2016.[2] J. M. Breiner, S. S. Harkness, C. C. Johnson, and C. M. Koehler, “What is STEM? A discussion about conceptions of STEM in education and partnerships,” School Science and Mathematics, vol. 112, no. 1, pp. 3-11, 2012.[3] D. W. White, “What is STEM education and why is it important,” Florida Association of Teacher Educators Journal, vol. 1, no. 14, pp. 1-9, 2014.[4] J. B. Labov, A. H. Reid, and K. R. Yamamoto, “Integrated biology and undergraduate science education: a new biology education for the twenty-first century?,” CBE-Life Sciences Education, vol. 9, no. 1, pp. 10-16, 2010.[5] E. Perignat, and
one to the CLOs, Bloom’s Taxonomy measures and ABET outcomes are all summarized in Table 3. The bloom’s taxonomy measuresare provided at the bottom of Table 3. ABET outcomes measures that are reported in Table 3 are:(a) applying knowledge to engineering technology activities, (b) select & apply knowledge ofmath, science, engineering and technology to engineering technology, (c) conduct standard testsand measurements, and interpret experiments, (d) function in a team, (e) solve broadly-definedengineering technology problems, (f) communication skills, and (g) continuous improvement.Table 3. PBL activities and their relations to CLOs, Bloom's Taxonomy measures, and ABET outcomes Course Learning
image processing” book starts with the assumption that the reader hasaccess to an image. It generally does not cover on how to select/develop an imageacquisition system for a given application. This gap was addressed in this course.In summary, this designed course designed was to cover the four key segments ofcomputer vision systems, i.e. a) image acquisition, b) image processing, c) imageanalysis, and d) image understanding (pattern recognition). Table 1 illustrates thefour learning objectives of the course and their associated Bloom’s taxonomy. Toachieve these learning objectives, active teaching and learning techniques alongwith modified conventional lectures and hands-on laboratory activities were used.In addition to the assignments, and
, September 24-26, 2012, Prague, Czech Republic 3. S. Nenonen, P.A. Jensen, G. Lindahl, 2014, “Knowledge Map of Facilities Management”, Proceedings of the 13th EuroFM Research Symposium, EFMC 2014, pp:245 – 257, 4-6 June 2014, Berlin, Germany4. B. Gerrits, M. Mes, P. Schuur, P., (2017), “An Agent-Based Simulation Model for Autonomous Trailer Docking”, Proceedings of the 2017 Winter Simulation Conference, pp: 1324 – 1335, December 3-6, 2017, Las Vegas, NV5. M.P.O.J. Gootzen, J.W.E. Heling (2016), “Task Scheduling in a Full Roaming Shuttle System”, Proceedings of the 2016 Winter Simulation Conference, pp: 2844- 2854, December 11-16, 2016, Arlington, VA6. A. Baddock, S. Gahagan, T. Lhotsky, C. Tupino, and H. Xu, H., (2014
Paper ID #25936Board 82: Lessons Learned: Using a Faculty Developer’s Skillset to Facilitatea Challenging Revision Process – A Student Evaluation of Teaching ExampleDr. Amy B Chan Hilton, University of Southern Indiana Amy B. Chan Hilton, Ph.D., P.E., F.EWRI is the Director of the Center for Excellence in Teaching and Learning and a Professor of Engineering at the University of Southern Indiana (USI). Her interests include faculty and organizational development, teaching and learning innovations, and systems thinking applied to educational contexts. Prior to joining USI, Dr. Chan Hilton served as a Program Director at the
, A. (1989). Human agency in social cognitive theory. American psychologist, 44(9), 1175. 13. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive career theory of career and academic interest, choice, and performance. Journal of vocational behavior, 45(1), 79-122. 14. Yoder, B. (2013) Engineering By the Numbers 2012-2013. American Society for Engineering Educaiton. https://www.asee.org/documents/papers-and-publications/publications/college-profiles/2017- Engineering-by-Numbers-Engineering-Statistics.pdf 15. Yoder, B. (2017) Engineering By the Numbers 2016-2017. American Society for Engineering Educaiton. https://www.asee.org/documents/papers-and-publications/publications
perspective on adolescents’ academic decision making.,” J. Educ. Psychol., vol. 93, no. 4, pp. 677– 685, 2001.[7] M. K. Orr, K. Ehlert, M. L. Rucks, and M. Desselles, “Towards the Development of a Revised Decision-Making Competency Instrument,” Proc. Am. Soc. Eng. Educ., 2018.[8] R Code Team, “R: A language and environment for statistical computing.,” R Foundation for Statistical Computing, Vienna, Austria., 2013. [Online]. Available: http://www.r- project.org/.[9] P. J. Curran, S. G. West, and J. F. Finch, “The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.,” Psychol. Methods, vol. 1, no. 1, pp. 16–29, 1996.[10] R. W. Lent, S. D. Brown, J. Schmidt, B. Brenner, H
Paper ID #24651A Frankenstein-inspired Engineering Design ProjectDr. James ”Jamie” Canino, Trine University Jamie Canino is currently an associate professor at Trine University where he focuses on undergraduate education research. He teaches in the thermal-fluids and aerospace engineering fields and can be reached at caninoj@trine.edu.Dr. Kendall B. Teichert, Trine University Dr. Teichert received his B.S. and M.S. in Mechanical Engineering from Brigham Young University. His Masters research studied behavior of microelectromechanical sensors/actuators. He worked for a small engineering firm in Salt Lake City, Utah
Paper ID #26813Introduction to Environmental Modeling: Results from a Three-Year PilotDr. Daniel B. Oerther, Missouri University of Science & Technology Professor Daniel B. Oerther, PhD, PE, FAAN, FRSA, FRSPH, FCIEH, ANEF, FSEE, joined the faculty of the Missouri University of Science and Technology in 2010 as the John A. and Susan Mathes Chair of Civil Engineering after serving ten years on the faculty of the University of Cincinnati where he was Head of the Department of Civil and Environmental Engineering. Oerther earned his B.A. in biological sciences and his B.S. in environmental health engineering from Northwestern
) Hardware Description language: This is a script describing the logic design. The code may have 3 main different styles: (a) Structural design: This style is mainly a word description of the schematic capture. It handles each primitive component or building block as a module defined by its name, inputs and outputs. Top modules are constructed by connecting smaller modules using wires. and and1 (in1, in2, out0) (b) Switching functions: Wires and outputs are assigned a switching function using inputs or other wires. assign wire1 = inputA & inputB; (c) Behavioral design: The behavioral design describes the function of the module using if statements, case statements … etc
Paper ID #25932Connecting Theory with Practice: Four Change Projects in Faculty Develop-ment for EngineeringDr. Amy B. Chan Hilton, University of Southern Indiana Amy B. Chan Hilton, Ph.D., P.E., F.EWRI is the Director of the Center for Excellence in Teaching and Learning and a Professor of Engineering at the University of Southern Indiana (USI). Her interests include faculty and organizational development, teaching and learning innovations, and environmental systems analysis. Prior to joining USI, Dr. Chan Hilton served as a Program Director at the National Science Foundation with experience in the Engineering Education
Paper ID #25999Assessment of a University Makerspace Using a Quantitative and QualitativeStudent SurveyMr. Lee Allen Dosse, University of Pittsburgh Lee A. Dosse is a Ph.D. student studying engineering education at the University of Pittsburgh. He is interested in how makerspaces can positively contribute to the education of engineering students, and has a keen interest in the university’s XProjects program as an engineering education tool.Irene B. Mena, University of Pittsburgh Irene B. Mena has a B.S. and M.S. in industrial engineering, and a Ph.D. in engineering education. Her research interests include first-year
Paper ID #28004Work in Progress: Analyzing a Distributed Expertise Model in an Under-graduate Engineering CourseMs. Sara Willner-Giwerc , Tufts University Sara Willner-Giwerc is currently pursuing a Ph.D. in mechanical engineering at Tufts University. She is a National Science Foundation Graduate Research Fellow, which supports her research at the Tufts Center for Engineering Education and Outreach (CEEO) on technological tools and pedagogical approaches for facilitating hands on learning in educational settings.Dr. Kristen B Wendell, Tufts University Kristen Wendell is Assistant Professor of Mechanical Engineering and
Paper ID #26242Model-building in Engineering EducationDr. Tobin N. Walton, North Carolina A&T State University My research is focused on developing interdisciplinary theoretical frameworks and methodological de- signs capable of modeling the social and psychological drivers of behavior, decision-making, and infor- mation processing across multiple domains (e.g., health, education, the workplace).Dr. Stephen B. Knisley, North Carolina A&T State University Stephen B Knisley completed the BE degree in biomedical engineering at Duke University and the PhD degree in biomedical engineering at the University of North
employees. Once a strategic plan is implemented, Dan regularly meets with corporate partners to assess the impact of the plan and make necessary adjustments to maximize value to corporate partners. Dan currently works closely with companies from the energy, biotech, defense, insurance, and finance industries. Dan enjoys learning more about new technologies and the ways in which those technologies impact existing and emerging industries.Mr. David B. Ortendahl, Worcester Polytechnic Institute David Ortendahl currently serves as Director of Corporate Relations at Worcester Polytechnic Institute (WPI) in Worcester, MA. In this role he currently oversees the WPI Career Development Center ”Em- ployer Team” and actively bridges
Paper ID #24867Mississippi Coding Academies: A Nontraditional Approach to ComputingEducationDr. Sarah B. Lee, Mississippi State University Sarah Lee joined the faculty at Mississippi State University (MSU) after a 19 year information tech- nology career at FedEx Corporation. As an associate clinical professor and assistant department head in the Computer Science and Engineering Department, she is co-founder and co-director of the Bull- dog Bytes program at MSU that engages K-12 students with computing and provides trans-disciplinary professional development to K-12 teachers in computer science and cybersecurity. She is
Paper ID #25501A Course in Best Practices in Scientific Writing and Oral Presentation in En-glish for Chinese Graduate Students in Engineering and the Life SciencesProf. John B. Troy, Northwestern University John B. Troy, Professor of Biomedical Engineering at Northwestern University, has a B.S. (1st class hon- ors) from the University of London, King’s College and a D.Phil. from the University of Sussex, both in the U.K. His research is within the broad area of Neural Engineering with focus on signal processing within the nervous system and the development of technology for neuroscience research and neuropros- thetics
Paper ID #25339Does How Pre-College Engineering and Technology Role Models See Them-selves Relate to Girls’ Engagement in the Fields? [Research To Practice]Dr. Mary B. Isaac, HEDGE Co. Mary Isaac retired from General Electric in 2007 as a Customer Service Executive, after 30 years in various technical and commercial roles in GE’s energy business, serving electric utility customers such as Excel, Constellation Energy, and Entergy. She has a B.S. in mechanical engineering from Union College in N.Y., an M.A.T. in technology education from North Carolina A&T State University in 2011, and Ph.D. in occupational and technical