mark.ardis@stevens.edu.Dr. Christina L. Carmen, University of Alabama in Huntsville Dr. Carmen obtained a Bachelor of Aerospace Engineering degree as well as a Master of Science in Aerospace Engineering degree from the Georgia Institute of Technology in Atlanta, GA. While at Ga. Tech she worked with Dr. Warren Strahle, researching solid propellants. She obtained a Doctor of Philos- ophy in Mechanical Engineering from the University of Alabama in Huntsville (UAH) with a focus upon turbulent combustion modeling. Dr. Carmen is the capstone design class coordinator in the Mechanical and Aerospace Engineering (MAE) department at UAH. She primarily teaches MAE senior design classes with a focus upon product realization and STEM
Paper ID #6900Training in Troubleshooting Problem-Solving: Preparing Undergraduate En-gineering Students for IndustryMr. Presentacion Rivera-Reyes, Utah State University - Engineering Education Presentacion Rivera-Reyes is currently a graduate teaching assistant and a PhD student in the Engineering Education Department at Utah State University. He formerly held a position as Professor of Telecommu- nication Engineering at Technological University of Honduras. He received his B.S. in Electrical Engi- neering from the National Autonomous University of Honduras. He has experience in the telecommu- nication industry where
are insights from and methodologies associated with the psychological sciences and digital human- ities. Rockwell is a Research Scientist in the Department of Engineering Education at Virginia Tech. Before moving to Virginia, he was a Research Assistant Professor in the Department of Humanities, Arts, and Social Sciences at the Colorado School of Mines, Lecturer in the Department of Values, Technol- ogy, and Innovation, at Delft University of Technology, Associate Teaching Professor at the University of Michigan-Shanghai Jiao Tong University Joint Institute, and Research Fellow in the Institute of Social Cognition and Decision-making, Shanghai Jiao Tong University. Rockwell holds a PhD from Purdue University
the request to post the link on the undergraduateengineering course they were teaching. Participants were then purposefully selected based on theirresponses to the screening survey. Data from these interviews were transcribed, identified, andanalyzed. As suggested by Creswell and Poth [38], and guided by Saldaña [39], a thematic analysisof the interview data was conducted based on consensus between two coders. The thematicanalysis helped identify patterns in the interview data relating to the important factors perceivedby undergraduate engineering students to be important to their MHW. The resultant eleven themeswere then re-grouped and conceptualized into seven factors as can be seen in Figure 1. Please readour published work about this
students, and saving faculty time. Stylus Publishing, LLC, 2015. [9] Kate J McKnelly, William J Howitz, Taylor A Thane, and Ren´ee D Link. Specifications grading at scale: Improved letter grades and grading-related interactions in a course with over 1,000 students. 2022.[10] William J. Howitz, Kate J. McKnelly, and Ren´ee D. Link. Developing and implementing a specifications grading system in an organic chemistry laboratory course. Journal of Chemical Education, 98(2):385–394, 2021. doi: 10.1021/acs.jchemed.0c00450.[11] Dennis Earl. Two years of specifications grading in philosophy. Teaching Philosophy, 45(1):23–64, 2022.[12] Ella Tuson and Tim Hickey. Mastery learning and specs grading in discrete math. In Proceedings of the 27th
Paper ID #39759Development of entrepreneurial mindset-driven training materials forundergraduate researchersDr. Maysam Nezafati, Georgia Institute of Technology I am a lecturer in the department of biomedical engineering at Georgia institute of technology /Emory University. I have been working on educational research since 2016. My main focus is on problem based learning core courses. But specifically I work onDr. Irene Reizman, Rose-Hulman Institute of Technology Irene M.B. Reizman is an Associate Professor in the Department of Chemical Engineering and the Al- fred R. Schmidt Endowed Chair for Excellence in Teaching at the
Intelligent Systems, 2022).Figure 2. Unsupervised Machine learning, Gene analysis 2. Dimensionality Reduction: Dimensionality Reduction is under unsupervised Machine LearningII. Supervised machine learning algorithms: This is the most commonly used machinelearning algorithm. Supervised learning algorithms are trained with labeled data.Mainly supervised leaning problems can be divided into the following two kinds of problems:1. Classification: A problem is called classification problem when we have the categorizedoutput such as “black”, “teaching”, “non-teaching”, etc.Suppose that you have a dataset containing the following:Tumor size, age, Malignant. The Malignant field is a label indicating if a tumor is cancerous.When you visualize or
Paper ID #37045Work-in-Progress: Bridging the Gap Between MATLAB andPython via ROS to Build Skills in an IntroductoryProgramming CourseJoshua Fagan Joshua Fagan received a BS in computer science and mathematics from The University of Richmond and a MS in computer science from The University of Tennessee, Knoxville (UTK). He is in his final year of a PhD in computer science at UTK, and will be starting a Lecturer position at UTK in Fall 2022. Joshua is interested in developing and teaching solutions involving robotics, machine learning, and data science.Amy Biegalski Amy Biegalski is a graduate of The Ohio State
to organize thisvaluable work by characterizing the nature and effects of the landscape of stressors experiencedby doctoral engineering students. In Year 1 of this project [21], we employed a longitudinalmixed methods study design to identify the most common and severe stressors experienced by acohort of students at one institution. Drawing from the results of this study and a review of theliterature on graduate student stressors, we developed the Stressors for Doctoral StudentsQuestionnaire for Engineering (SDSQ-E) and administered it twice, in fall 2022 and in spring2023. The SDSQ-E measures the severity and frequency of stressors including advisor-relatedstressors, class-taking stressors, research or laboratory stressors, campus life and
Paper ID #38503Developing a Global Competency Mindset in an International, Faculty-ledProgram in Brazil Focused on Sustainable EnergyDr. Courtney Pfluger, Northeastern University Dr. Courtney Pfluger took a position in Fall 2011 as an Assistant Teaching Professor at Northeastern University as a part of the First Year Engineering Faculty and affiliated Faculty in the Chemical Engineer- ing Department. Dr. Pfluger redesigned and piloted the first-year curriculum which included engineering design and computational problem solving using the Engineering Grand Challenges as real-world appli- cations of global issues. She
should not require additional lab facilities, 8). Create a workload that is consistent with the credit that is assigned to the class and support the engineering graphics content of the course, and 9). Depth of training required for instructors and teaching assistants on key issues.The first five factors can be categorized as content issues while the remaining four factors fallunder administrative issues. Some factors, such as 6 and 7, are related to both content andadministrative issues. As an example, factor 7 includes issues dealing with additional facilities,such as machine shops and separate laboratory classes. This point is crucial here at Texas A&MUniversity since there are around 1,200 freshmen and it is almost
increased interest in other majors. • Poor teaching by engineering faculty. • Overwhelming pace and load of engineering programs. • Discouraging engineering grading systems. Mentoring ScenariosOriginally, Mentor was a friend of Odysseus, entrusted with the education of Odysseus’son Telemachus. Today, a mentor is considered as a trusted counselor or guide6. Mentorscan be divided in to many categories: well trained individual teaching less trained Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A & M University-Corpus Christi Copyright © 2005 American Society for Engineering Educationindividuals; well trained
should not require additional lab facilities, 8). Create a workload that is consistent with the credit that is assigned to the class and support the engineering graphics content of the course, and 9). Depth of training required for instructors and teaching assistants on key issues.The first five factors can be categorized as content issues while the remaining four factors fallunder administrative issues. Some factors, such as 6 and 7, are related to both content andadministrative issues. As an example, factor 7 includes issues dealing with additional facilities,such as machine shops and separate laboratory classes. This point is crucial here at Texas A&MUniversity since there are around 1,200 freshmen and it is almost
Graduate Teaching Assistant and a Graduate Research Assistant.Dr. Tremayne O’Brian Waller, Virginia Polytechnic Institute and State University Dr. Tremayne O. Waller (Ph.D., Virginia Tech) is the Director of Graduate Student Programs at Virginia Tech in the Center for the Enhancement of Engineering Diversity (CEED). Dr. Waller is responsible for developing and implementing evidence-based strategic priorities for recruiting and retention of underrep- resented students in College of Engineering graduate programs. He is working with faculty, staff and students to implement a strategic plan for graduate student success. Dr. Waller was the Interim Director for the Office of Academic Diversity Initiatives (OADI) and Director
, Course-Based Research Module Provides Metacognitive Benefits in the Form of More Sophisticated Problem Solving.,” J. Coll. Sci. Teach., vol. 48, no. 4, 2019.[19] D. R. Howard and J. A. Miskowski, “Using a module-based laboratory to incorporate inquiry into a large cell biology course,” Cell Biol. Educ., vol. 4, no. 3, pp. 249–260, 2005.[20] K. Suthar, J. Wang, Z. Jiang, and Q. P. He, “Using Channel State Information for Estimating Moisture Content in Woodchips via 5 GHz Wi-Fi,” in 2020 American Control Conference (ACC), 2020, pp. 2784–2789.[21] D. Shah, J. Wang, and Q. P. He, “An Internet-of-things Enabled Smart Manufacturing Testbed,” in IFAC-PapersOnLine, 2019, vol. 52, no. 1, pp. 562–567, doi
Purdue, Dr. LaRose serves as a teacher educator,preparing future agricultural educators to meet the needs of a diverse array of learners in their classes. Sheteaches coursework in curriculum design, laboratory teaching practices, and teaching methods in agricul-tural education. Central to all of Dr. LaRose’s work as an educator and a scholar is an effort to addressinequities in agricultural education curriculum, program design, and recruitment practices. American c Society for Engineering Education, 2021Using Broad Spectrum Technological Projects to Introduce Diverse Student Populations to Biological & Agricultural Engineering (BAE): A Work in ProgressAbstractThis paper is a
Paper ID #34191Assessing the Value and Implementation of Interdisciplinary Activitiesin Academic Makerspaces and Machine ShopsDr. Lennon Rodgers, University of Wisconsin – Madison Lennon Rodgers is currently the Director of the Design Innovation Lab at the University of Wisconsin – Madison, which includes a makerspace, machine shop and a set of interdisciplinary design programs. He earned his PhD and M.S. from MIT and B.S. from the University of Illinois at Urbana-Champaign (all mechanical engineering). Previously he worked at MIT as a Research Scientist and NASA’s Jet Propulsion Laboratory as an engineer. All of his
, CFD, rocket propulsion and automotive engineering. He was a U.S. Department of Energy Visiting Faculty Fellow at Sandia National Laboratories in 2012 and 2013. He has educated and trained many underrepre- sented minority and female students via various STEM programs including NSF-funded AMP (Alliance for Minority Participation) program.Dr. Hyung D. Bae , Howard University Dr. Hyung D. Bae received his B.S. M.S. degree in mechanical engineering of Yonsei University, Seoul, Korea, in 2004 and 2006, respectively, and Ph.D. degree in mechanical engineering of the University of Maryland in 2013. He was a Research Assistant of the Mechanical Engineering Department at the University of Maryland from 2013 to 2016. He
national leadership honor society, and a senior member of IEEE.Dr. Brian P DeJong, Central Michigan University Brian P. DeJong is an Associate Professor of Mechanical Engineering in the School of Engineering and Technology at Central Michigan University. He is a recipient of the university’s College of Science & Technology Outstanding Teaching Award. He received a M.S. and Ph.D. in Mechanical Engineering from Northwestern University with research in robotics. His current research is in mobile robots (spherical, sound-localization), teleoperation (improved interfaces), and engineering education.Prof. Tolga Kaya, Central Michigan University Dr. Tolga Kaya currently holds a joint Assistant Professor position in the School
. Raul Armendariz, Queensborough Community College Assistant professor of physics at Queensborough Community CollegeMr. George Tremberger Jr, CUNY-Queensborough Community CollegeProf. Tak Cheung, CUNY Queensborough Community College Tak Cheung, Ph.D., professor of physics, teaches in CUNY Queensborough Community College. He also conducts research and mentors student research projects. c American Society for Engineering Education, 2017 Improving fluid intelligence critical thinking via spatial reasoning ability in community college pre- engineering physics classes Vazgen Shekoyan, Sunil Dehipawala, Raul Armendariz, George Tremberger, David Lieberman, and
] Trundle, K. C., Bell, R. L., "The Use of A Computer Simulation to Promote ConceptualChange: A Quasi-Experimental Study," Journal of Computers and Education, Vol. 54(4), 2010.[10] Zacharia, Z. C., Olympiou, G., Papevripidou, M., "Effects of Experimenting with Physicaland Virtual Manipulatives on Students Conceptual Understanding in Heat and Temperature,"Journal of Research in Science Teaching, Vol. 45(2), 2008.[11] Campbell, J. O., Bourne, J. R., Mosterman, P. J., Brodersen, A. J., “The Effectiveness ofLearning Simulations for Electronic Laboratories,” The Research Journal for EngineeringEducation, Vol. 91(1), 2002.[12] Carruthers, B. E., Clingan, P. A., “Use of Fluent Software in a First-Year EngineeringMicrofluidic Design Course,” Proceedings of
; manufacturing engineering; quality; environmental, health and safety; and others. Before joining National University, he acquired 12+ years of voluntary involvement with higher education, including adjunct teaching and research in engineering at the University of Colorado and formal advisory involvement in both science and engineering at the University of Texas. Other past professional and academic activities include being a founding member and officer in the Central Texas Electronics Association; past chairman of IBM’s Materials Shared University Research Committee; Ph.D. Recruiting Coordinator for IBM’s Systems Technology Division; and executive sponsor for 3M division’s
a combination ofengineering, science, computer science, information systems, project management,telecommunications, electronics, and quality assurance topics. Every degree program requires acourse in Integrated Technology Assessment, which is equivalent to a “CAPSTONE” course.Where necessary, students are provided access to a “Virtual Laboratory” for gaining laboratoryexperience.Anwar et.al.3 provided an overview of the engineering technology programs at EC, in a paperpresented at the 2005 ASEE Annual Conference and Exposition. Anwar4 presents details of theBEET program at EC in an article to be published in the Journal of Pennsylvania Academy ofScience.2.2 Characteristics of EC Students As stated in Section 1.0, Excelsior College
AC 2007-1598: STUDENT/TEACHER ROLE SWAP IN HEAT TRANSFERNihad Dukhan, University of Detroit Mercy Nihad Dukhan is an Associate Professor of Mechanical Engineering at the University of Detroit Mercy, where he teaches courses in heat transfer, thermodynamics and energy systems. His ongoing pedagogical interests include developing undergraduate research programs, service-learning programs, and assessing their impact on students’ soft skills. His technical research areas are advanced cooling technologies for high-power devices. Dr. Dukhan earned his BS, MS, and Ph.D. degrees in Mechanical Engineering from the University of Toledo.Michael Jenkins, University of Detroit Mercy Michael G. Jenkins
AC 2007-1744: ARE FRESHMAN ENGINEERING STUDENTS ABLE TO THINKAND WRITE CRITICALLY?Karen High, Oklahoma State University KAREN HIGH earned her B.S. from the University of Michigan in 1985 and her M.S. in 1988 and Ph.D. in 1991 from the Pennsylvania State University. Dr. High is an Associate Professor in the School of Chemical Engineering at Oklahoma State University where she has been since 1991. Her main research interests are Sustainable Process Design, Industrial Catalysis, and Multicriteria Decision Making. Other scholarly activities include enhancing creativity in engineering practice and teaching science to education professionals. Dr. High is a trainer for Project Lead the Way pre
Member of the IEEE. He typically teaches courses in digital signal processing, microprocessors, and senior design.Owe Petersen, Milwaukee School of Engineering Dr. Petersen is Department Chair and Professor of Electrical Engineering and Computer Science at the Milwaukee School of Engineering (MSOE). He is a former Member of Technical Staff at AT&T Bell Laboratories and received his Ph.D. degree from the University of Pennsylvania in 1971. He is a Senior Member of the IEEE and an ABET EAC program evaluator in Electrical Engineering. Page 13.1070.1© American Society for Engineering Education
AC 2008-1154: ENHANCING PEER-LED TEAM LEARNING THROUGHCOOPERATIVE LEARNINGSteve Roach, University of Texas-El PasoElsa Villa, University of Texas-El Paso Page 13.549.1© American Society for Engineering Education, 2008 Enhancing Peer -Led Team Lear ning in Computer Science thr ough Cooper ative Lear ningAbstractPeer teaching and peer mentoring is in use at many colleges and universities in the United Statesin an effort to improve undergraduate education. At the University of Texas at El Paso (UTEP),peer-led team learning (PLTL) is being used in the Departments of Chemistry, Mathematics, andComputer Science (CS). In CS, we have enhanced the traditional
AC 2008-2629: DESIGN AND INTEGRATION OF A CAPSTONE COURSE TOACHIEVE PROGRAM OUTCOMESMohamed El-Sayed, Kettering University Professor of Mechanical Engineering and director of the Hybrid Vehicles Integration Laboratory. He has been teaching at the undergraduate and graduate level for over 30 years. He teaches Machine Design, Automotive Design, Machine Design Capstone, Automotive Design Capstone, Design Optimization, Advanced Mechanics of Materials, linear and Nonlinear Finite Element analysis, and Design for manufacturability. He has been a PI and Co-PI on several research grants and a consultant to several engineering corporations. He has over seventy research papers in addition to several
creative application. Thesestudies provide a bridge between mathematics and basic sciences on the one hand and Page 14.668.4engineering practice on the other” 5. As posited by Hailey, Erekson, Becker, and Thomas13, inengineering, analysis is presented as a decision-making tool for evaluating alternative designs.For NCETE, one critical goal is to introduce high school students to the vital role of analysis inthe engineering design process. This would presumably allow technology education to serve asan integrator of mathematics and science for a diverse array of learners 13. As a result of theCenter’s emphasis on teaching the role of analysis in
engineer in the state of Louisiana.Bill Elmore, Mississippi State University BILL ELMORE, Ph.D., P.E., is Associate Professor and Hunter Henry Chair, Mississippi State University. His teaching areas include the integrated freshman engineering and courses throughout the chemical engineering curriculum including unit operations laboratories and reactor design. His current research activities include engineering educational reform, enzyme-based catalytic reactions in micro-scale reactor systems, and bioengineering applied to renewable fuels and chemicals. Page 11.562.1© American Society for