Paper ID #17699Managing Transformation to Crack Open Engineering EducationDr. Jennifer Karlin, University of Southern Maine Jennifer Karlin spent the first half of her career at the South Dakota School of Mines and Technology, where she was a professor of industrial engineering and held the Pietz professorship for entrepreneurship and economic development. She is now at the University of Southern Maine where she is a research professor of engineering and the curriculum specialist for the Maine Regulatory Training and Ethics Center.Dr. Cheryl Allendoerfer, University of Washington Dr. Allendoerfer is a Research Scientist
.[6] P. R. Pintrich, R. W. Marx, and R. A. Boyle, “Beyond Cold Conceptual Change: The Role of Motivational Beliefs and Classroom Contextual Factors in the Process of Conceptual Change,” Review of Educational Research, vol. 63, no. 2, pp. 167–199, 1993.[7] D. H. Schunk and B. J. Zimmerman, Motivation and self-regulated learning: Theory, research, and applications. Routledge, 2012.[8] E. A. Linnenbrink-Garcia, “Longitudinal stability of profiles of motivated self-regulation in the elementary classroom,” in American Educational Research Association Annual Meeting. New Orleans, LA, 2011.[9] J. R. Haughery and D. R. Raman, “Influences of Mechatronics on Student Engagement in Fundamental Engineering Courses: A Systematic Review
2017 ASEE Mid Atlantic SectionSpring Conference: Morgan State University, Baltimore, Maryland Apr 7 Paper ID #20815A Look at ABET Accreditation – Understanding the BasicsDr. Rafic Bachnak, Pennsylvania State University, Harrisburg, The Capital College Rafic A. Bachnak is Professor of Electrical Engineering and Director of the School of Science, Engi- neering, and Technology at Penn State Harrisburg. Previously, Dr. Bachnak was on the faculty of Texas A&M International University, Texas A&M-Corpus Christi, Northwestern State University, and Franklin University. Dr. Bachnak received his B.S., M.S., and Ph.D. degrees in
Paper ID #20538MAKER: Nanotechnology & Microfluidics - Lab-on-a-chipMr. Neil Andrew Gardner, The Ohio State University c American Society for Engineering Education, 2017 MAKER: Nanotechnology & Microfluidics – Lab-on-a-chipOur First Year Engineering program has a variety of labs and exercises that run weekly throughout thesemester to expose freshman engineering students to multiple engineering disciplines. One of thecourses which is aimed at students who are interested in disciplines such as: Chemical Engineering,Biological Engineering and Material Science Engineering involves Nanotechnology and
Paper ID #17818Development of a Laboratory Module in 3D PrintingDr. Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST) Dr. Spencer Kim is an Associate Professor in Mechanical and Manufacturing Engineering Technology Department (MMET) at RIT, and serves as Associate Director of American Packaging Corporation Cen- ter for Packaging Innovation at RIT. He previously worked in the semiconductor industry. Dr. Kim, as a PI or Co-PI, received grants and sponsorship from NSF, SME, SPE, universities, and industries. In 2009 and 2013, he was nominated for the Eisenhart Award for Outstanding Teaching, RIT’s premiere teach
Paper ID #18298Evolution of a Power Systems Course for EETDr. William T. Evans P.E., University of Toledo Dr. William Evans earned his Ph.D. in Industrial Engineering in 2005 and his M.S.E.E. in 1975, both from the University of Toledo. He earned his B.S.E.E. in 1971 from UIUC. Dr. Evans has fifteen years experience as a controls engineer for industry, 27 years experience as a professor of Electrical Engi- neering Technology at U. of Toledo, and experience as a consultant to industry continued through PLC programming. c American Society for Engineering Education, 2017 Evolution
Paper ID #19000Getting Great Recommendation Letters: A Practical GuideDr. Katy Luchini-Colbry, Michigan State University Katy Luchini-Colbry is the Director for Graduate Initiatives at the College of Engineering at Michigan State University, where she completed degrees in political theory and computer science. A recipient of a NSF Graduate Research Fellowship, she earned Ph.D. and M.S.E. in computer science and engi- neering from the University of Michigan. She has published more than two dozen peer-reviewed works related to her interests in educational technology and enhancing undergraduate education through hands- on
Paper ID #19455Integrating Industry Projects into a Manufacturing Systems CourseDr. Faisal Aqlan, Pennsylvania State University, Behrend College Dr. Faisal Aqlan is an assistant professor of industrial engineering at Penn State Behrend. He earned the B.S. and M.S. in industrial engineering from Jordan University of Science and Technology in 2007 and 2010, respectively and the Ph.D. in Industrial and Systems Engineering from the State University of New York at Binghamton in 2013. Prior to joining the faculty at Behrend, Dr. Aqlan was a faculty member in industrial and system engineering at the University of New Haven where
Paper ID #20401Learning from Engineering Disasters: A Multidisciplinary Online CourseDr. Gary P. Halada, Stony Brook University Dr. Halada, Associate Professor in Materials Science and Engineering at Stony Brook University, directs an interdisciplinary undergraduate degree program in Engineering Science. He designs educational ma- terials focused on nanotechnology, advanced manufacturing, and how engineers learn from engineering disasters and how failure and risk analysis can be used to teach about ethics and societal implications of emerging technologies. Halada also coordinates the Long Island Alternative Energy
Paper ID #19005Choosing Between Graduate Program Offers: A Practical GuideDr. Katy Luchini-Colbry, Michigan State University Katy Luchini-Colbry is the Director for Graduate Initiatives at the College of Engineering at Michigan State University, where she completed degrees in political theory and computer science. A recipient of a NSF Graduate Research Fellowship, she earned Ph.D. and M.S.E. in computer science and engi- neering from the University of Michigan. She has published more than two dozen peer-reviewed works related to her interests in educational technology and enhancing undergraduate education through hands
Paper ID #18341A Briefcase Hardware Design for Data Acquisition TrainingDr. Weican Xiao, Michigan Technological University Weican Xiao is currently a lecturer in the Electrical Engineering Technology program in the School of Technology at Michigan Technological University. Dr. Xiao earned master degree in Engineering System at Colorado school of mines in 2002. He obtained another master degree in Electrical Engineering from Rutgers University in 2006 and the PhD degree in Electrical Engineering from Old Dominion University in 2012. Dr. Xiao’s research interests include power system, instrumentation and semiconductor power
Paper ID #19937A Comparison of Maker and Entrepreneurial CharacteristicsMiles J, Mabey, Arizona State University Miles Mabey (Yes that’s his real last name) is a third year student at Arizona State University studying Robotic Engineering. He joined the Maker Research team two years ago and has been to the Bay Area and New York Maker Faires.Dr. Shawn S. Jordan, Arizona State University, Polytechnic campus SHAWN JORDAN, Ph.D. is an Assistant Professor of engineering in the Ira A. Fulton Schools of En- gineering at Arizona State University. He teaches context-centered electrical engineering and embedded systems design
Paper ID #19697A Reflective Analysis on Professional Codes of EthicsMr. Graeme W Troxell, Colorado State University Graeme will soon be completing his master’s degree in philosophy at Colorado State University, where he is a graduate research assistant working with engineers, ethicists, and entrepreneurs to address pressing questions in the ethics of engineering design. He is interested in emerging technologies and technolog- ical entrepreneurship, ethics, epistemology, and design theory. He is also a Venture Capital Analyst for Rockies Venture Club in Denver, Colorado.Dr. Wade O. Troxell, Department of Mechanical
Paper ID #17765Applying Scrum to Manage a Senior Capstone ProjectDr. Zesheng Chen, Indiana University Purdue University, Fort Wayne Dr. Chen is an assistant professor in the Department of Computer Science at Indiana University - Pur- due University Fort Wayne. He received his M.S. and Ph.D. degrees from the School of Electrical and Computer Engineering at the Georgia Institute of Technology in 2005 and 2007. He also holds B.E. and M.E. degrees from the Department of Electronic Engineering at Shanghai Jiao Tong University, Shang- hai, China in 1998 and 2001, respectively. He worked as an assistant professor in the Department of
Paper ID #20220Can a First-year Professor be More Successful with a Flipped Classroom thanwith a Traditional Classroom?Dr. Stewart J. Thomas, Valparaiso University Stewart Thomas is an Assistant Professor in the Department of Electrical and Computer Engineering at Valparaiso University in Valparaiso, Indiana. He received the B.S. and M.Eng. in Electrical Engineering from the University of Louisville in Louisville, KY. and the Ph.D. in Electrical and Computer Engineering from Duke University in Durham, North Carolina. His research interests include low-power communica- tion and RFID technology. He is a member of ASEE and
Paper ID #18067Libraries Embrace the Engineering Grand ChallengesMr. James A. Van Fleet, Bucknell University Jim Van Fleet has been the Engineering Librarian at Bucknell University, and a member of the ASEE Engineering Libraries Division, for over 25 years. His professional interests include reference services and library collection management. c American Society for Engineering Education, 2017 Libraries Embrace the Engineering Grand Challenges The National Academy of Engineering has put forward 14 Grand Challenges for Engineering in the 21stCentury. Students at participating universities address
Paper ID #18167Building Automation and IoT as a Platform for Introducing STEM Educa-tion in K-12Dr. Jay R. Porter, Texas A&M University Jay R. Porter joined the Department of Engineering Technology and Industrial Distribution at Texas A&M University in 1998 and is currently the Associate Department Head for Undergraduate Studies. He re- ceived the BS degree in electrical engineering (1987), the MS degree in physics (1989), and the Ph.D. in electrical engineering (1993) from Texas A&M University. His areas of interest in research and education include product development, analog/RF electronics, instrumentation
steps for this task, such as “turn left/right” and “look up/down”. 4 (a) (b)Figure 3: Images of what the robot sees (a) in the visible spectrum (b) in the filtered infraredspectrum 3. Demonstration of Robot Operation After donning appropriate safety gear, one presenter would affix the target to their chest to demonstrate the robot’s ability to aim and launch NerfTM balls at the target. To demonstrate the robot’s ability to follow a target, the launching mechanism was disengaged and the robot was allowed to track the target while the presenter carried it throughout the room and au- dience space
typicallytakes two hours and supplies cost $1 per toy. As shown in Figure 2, this includes opening theelectronic toy and finding the circuit that controls its activation (Figure 2A and B). A piece ofwire is then used to determine how the circuit is completed to activate the toy, thereby initiatingsounds, lights, and/or movement (Figure 2C, enlarged in D). A female jack is soldered to a wireand the other end of that wire is soldered to the identified points on the circuit (Figure 2E and F).Finally, the toy is closed (Figure 2G) and repackaged. Toy adaptation is a low-risk introductionto design, circuitry, soldering, and use of basic hand tools. In addition, the clear societal impactof toy adaptation may make it an attractive engineering application to
ABETaccredited. As required by the Engineering Technology Accreditation Commission of ABET,these two programs need to document SOs that must include, but not limited to, the followinglearned capabilities [11]:Table 2: List of ABET a-k Student Outcomes: ABET Definition [11] Student Outcomes a An ability to select and apply the knowledge, techniques, skills, and modern tools of the discipline to broadly-defined engineering technology activities. b An ability to select and apply a knowledge of mathematics, science, engineering, and technology to engineering technology problems that require the application of principles and applied
practice and Baxter Magolda’s Learning PartnershipsModel, which is based on self-authorship, was developed for ethnographic classroomobservation. The collected data will help us better understand the educational environment andeducational processes3, as well as the actors situated within them. In this paper, we offer ananalysis of pilot data to better understand how the classes might align with desired outcomes -such as student development of self-authorship, reflective practice, and capacity for innovation.Using this analysis, we identify possible implications for (a) adjustment of academic plans, and(b) evaluating and adjusting the educational environment, both described by Lattuca & Stark’smodel.Introduction / Purpose Statement
achievement and the hard work it demanded started with intentionalcommunications that students should expect to earn higher grades and work harder to achievethis goal (Yeager & Dweck, 2012). For instance, we frequently mentioned how companies seekengineering graduates with at least a B grades or greater, or a 3.0 grade point average (GPA).Students learn a variety of study and test-taking strategies to empower their efforts, many taughtby BOLD staff. We have found that forming personal relationships that open up communicationpathways about academic performance has led to better retention of students, especially thosefrom underrepresented minority populations. As shown in Figure 3, early gains in performanceare easily reversed, but in general, most
), the Baccalaureate and Beyond 2008/2009 (B&B), and the Career/TechnicalEducation (CTE) Statistics. Each of these datasets is produced and distributed by the Departmentof Education’s National Center for Education Statistics.The labor market datasets used in the study were the American Community Survey (ACS), theCurrent Population Survey (CPS), the Occupational Employment Statistics (OES) database, andthe National Survey of College Graduates (NSCG). These data are made available by a variety ofgovernment agencies and present the STEM workforce generally and engineering techniciansand technologists in particular in varying degrees of detail.The survey of educational programs was conducted by the NAE. The survey of employers wasconducted by
strandsexplored various aspects of the concepts.Thread 1. Inputs for Holistic Faculty Development a. Motivation b. Engagement c. Institutional ExpectationsThis thread of holistic faculty development inputs focused on topics related to the characteristics offaculty members and institutions that serve as barriers or supports to the adoption and implementationof holistic STEM faculty development programs. Such inputs could include issues at the institutional,administrative, and individual level. For example, conflicts between institutional expectations andfaculty expectations for holistic development, potential mediators of faculty engagement, facultymotivation, financial support, or the
Chemical Reaction Kinetics and Equilibrium with Building Blocks, J. Chem. Ed., 2011 88 (10), 1400-1403. 13. Nichol, C.A., Hutchinson, J.S. Professional Development for Teachers in Nanotechnology Using Dis- tance Learning Technologies, J. Nano. Ed. 2010, 2, 37-47. 14. Diaconu, D., Radigan, J, Suskavcevic, M., Nichol, C. ”A Multi-Year Study of the Impact of the Rice Model Professional Development on El- ementary Teachers”, International Journal of Science Education, 34 (6), 855-877, 2012. 15. Crawford, C., Beason-Abmayr, B., Eich, L. and Nichol, C, (2014) Going viral, using laptops, and Youtube videos to model the structure and function of viruses, The Science Teacher, 51-53. 16. Nichol, C.A., Szymczyk, A., Hutchinson
and are not those of the NSF.References [1] Chen, T., & Maciejewski, A. A., & Notaros, B. M., & Pezeshki, A., & Reese, M. D. (2016, June), Mastering the Core Competencies of Electrical Engineering through Knowledge In- tegration Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25683 [2] Maciejewski, A. A., & Chen, T. W., & Byrne, Z. S., & de Miranda, M. A., &, Sample McMeeking, L. B., &, Notaros, B. M., &, Pezeshki, A., & Roy S., & Leland, A. M., & Reese, M. D., & Rosales, A. H., & Siller, T. J., & Toftness, R. F., & Notaros, O., A Holistic Approach to Transforming Undergraduate Electrical Engineering
pointvaluesFigure 1. Increased perception of fair grading with experimental grading methods. Student feedback on coursegrading at the end of the Spring 2016 (traditional scoring), and Fall 2016 (experimental scoring) semesters wereseparated into categories based on feedback received. Students commenting on several categories were counted ineach category. N= 25, 34 for Spring 2016, and Fall 2016 respectively. A B 50 5 Gradingtimeperreport Confidenceingrading
for Grants and Agreements withInstitutions of Higher Education, Hospitals, and Other Non-Profit Organizations.Samuels, S. M., Grochowski, P. F., Lalwani, L. N., & Carlson, J. 2015. Analyzing DataManagement Plans: Where Librarians can make a Difference. 122nd ASEE Annual Conference &Exposition, June 14-17, 2015, Paper #12072.Tenopir, C., Hughes, D., Allard, S., Frame, M., Birch, B., Baird, B., Sandusky, R.,Langseth, M. & Lundeen, A. 2015. Research Data Services in Academic Libraries: DataIntensive roles for the future. Journal of eScience Librarianship 4(2) e1085. DOI:10.7191/jeslib.2015.1085Van Tuyl, S.V., & Michalek, G. 2015. Assessing research data management practices of facultyat Carnegie Mellon University. Journal of
approaches. Learning and Individual Differences. 24, 117-125.Pajares, F., & Miller, M. D. (1995). Mathematics Self-Efficacy and Mathematics Performances. Journal of Counseling Psychology, 42(2), 190-198.Poropat, A. E. (2009). A Meta-Analysis of the Five-Factor Model of Personality and Academic Performance. Psychological Bulletin, 135(2), 322-338.Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do Psychosocial and Study Skill Factors Predict College Outcomes? Psychological Bulletin, 130(2), 261-288.Vuong, M., Brown-Welty, S., Tracz, S. (2010). The effects of self-efficacy on academic success of first-generation college sophomore students. Journal of College Student Development. 51(1), 50-64
, Indianapolis, IN.Clark, R., Kaw, A., & Besterfield-Sacre, M. (2016a). Comparing the Effectiveness of Blended,Semi-Flipped, and Flipped Formats in an Engineering Numerical Methods Course. Advances inEngineering Education, 5(3).Clark, R., Besterfield-Sacre, M., Budny, D., Bursic, K., Clark, W., Norman, B., Parker, R.,Patzer, J., & Slaughter, W. Flipping Engineering Courses: A School Wide Initiative. (2016b).Advances in Engineering Education, 5(3).Connor, K., Newman, D., & Morris Deyoe, M. (2014). Flipping a Classroom: A ContinualProcess of Refinement. Proceedings of the ASEE Annual Conference and Exposition,Indianapolis, IN.Cortizo, J., Rodríguez, E., Vijande, R., Sierra, J., & Noriega, A. (2010). Blended LearningApplied to the Study of