watching and discussing videos about teaching or framing a discussion aroundparticular interventions or technologies of interest. In SIMPLE STEM, mixed resultswere found regarding the structure. Indeed, the groups varied in meeting structure fromcompletely unstructured (flowing discussion) to rigidly structured (with a specific focusor agenda) with different participants valuing different ways of meeting organization.Nevertheless, group leaders in both projects predominantly described their roles asfacilitators who scheduled and structured the meetings, provided resources, and thenfacilitated discussion.An important change from the SIMPLE Engineering to the SIMPLE STEM project wasthe expansion to several STEM disciplines and the mutual support of
Paper ID #13970Effects of Scaffolding Creative Problem Solving through Question Promptsin Project-Based Community Service LearningProf. Wei Zheng, Jackson State University Dr. Wei Zheng is an associate professor of Civil Engineering at Jackson State University. He received his Ph.D. in Civil Engineering from University of Wisconsin-Madison in 2001 and has over ten years of industrial experience. Since becoming a faculty member at JSU in 2005, he has made continuous efforts to integrate emerging technologies and cognitive skill development into engineering curriculum.Mr. Yanhua Cao, Jackson State University Yanhua Cao is an
Care," presented at 2nd Joint EMBS-BMES Conf., Houston, TX, 2002.[8] Johnston, W.S., P.C. Branche, C.J. Pujary, and Y. Mendelson. "Effects of motion artifacts on helmet- mounted pulse oximeter sensors," presented at Proceedings of the IEEE 30th Annual Northeast Bioengineering Conference, 2004, 2004.[9] Crilly, P.B., E.T. Arakawa, D.L. Hedden, and T.L. Ferrell. "An integrated pulse oximeter system for telemedicine applications," presented at Proceedings of the IEEE Instrumentation and Measurement Technology Conference, 1997, 1997.[10] Bronzino, Joseph D. IEEE Biomedical Engineering Handbook: CRC Press, IEEE Press, 1995, 0-8493- 8346-3.[11] Yoshiya, Y. Shimada, and K. Tanaka
program outcomes. Therefore, as long as the overall curriculum matrixcovers all program outcomes upon students’ graduation, each and every student will meet all theprogram outcomes accordingly.Bibliography:[1] Engineering Criteria 2000: Criteria for Accrediting Programs in Engineering in the United States. Published by The Accreditation Board for Engineering and Technology (ABET), Baltimore MD. 1997. Available at: http://www.abet.org/criteria.html.[2] Felder, R.M., Brent, R., “Designing and redesigning courses to address EC2000,” Frontiers in Education 2001, Reno, Nevada, October 2001.[3] Mak, F., Frezza, S., Yoo, W.S., “Web-based course-exit survey for ABET EC2000,” ASEE Annual Conference and Exposition, Nashville, TN, June 2003.[4
University campus, and the other half werelocated at distances too far away to have easy access to campus. Students had weekly homeworkassignments, including both online and scanned handwritten problems, and a few exams (in ahybrid online and written format) which provided the basis for much of their grade in the coursein a manner nearly identical to how the same course is typically taught in a traditional classroom.This course sought to address some of the challenges facing online engineering courses by: controlling course quality with clearly defined outcomes, using current technology practices to present lectures and example problems effectively, promoting opportunities for student collaboration, creating an experiential
Paper ID #21634BeagleBone Black for Embedded Measurement and Control ApplicationsMr. Stephen A. Strom, Pennsylvania State University, Erie Stephen Strom is a lecturer in the Electrical and Computer Engineering Technology department of Penn State Behrend, and holds a B.S. in electrical engineering from Carnegie Mellon University. His career includes over thirty years experience in designing and programming embedded systems and has multiple patents for both hardware designs and software algorithmsProf. David R. Loker, Pennsylvania State University, Erie David R. Loker received the M.S.E.E. degree from Syracuse University in
on IISE Board of Trustees. He also serves on IISE Technical Operations Board and leads IISE Cup initiative, which is an international competition to recognize organizations for innovative and effective implementation of industrial and systems engineering principles and practices that deliver exemplary business performance improvement.Dr. Qi Dunsworth, Penn State Erie, The Behrend College Qi Dunsworth is the Director of Center for Teaching Initiatives at Penn State Erie, the Behrend Col- lege. She holds a master’s degree in Communication Studies and a Ph.D. in Educational Technology. At Behrend she supports faculty in classroom teaching and the scholarship of teaching and learning. She has created a series of
Students”, Forbes, February 26, 2025,integrate AI tools into a master's course has increased student https://www.forbes.com/sites/danfitzpatrick/2025/02/26/chatgpt-to-be-comfort as well as raised awareness of its ethical issues [17]. given-to-all-estonian-high-school-students/ [6] I. B. Bunjaku, S. Gagica, M. D. Kent, “Integrating Digital Tools in Several factors may contribute to the students’ low Engineering Education: Social Impact of Technological Integration”,engagement in using AI tools for their learning. First, students IFAC PapersOnline 58-3 (2024) p. 118 - 122are simply
Paper ID #16601A Contextual Approach to Teaching SustainabilityDr. Robert L. Nagel, James Madison University Dr. Robert Nagel is an Assistant Professor in the Department of Engineering at James Madison University. Dr. Nagel joined the James Madison University after completing his Ph.D. in mechanical engineering at Oregon State University. He has a B.S. from Trine University and a M.S. from the Missouri University of Science and Technology, both in mechanical engineering. Since joining James Madison University, Nagel has helped to develop and teach the six course engineering design sequence which represents the spine
Engineering at the University of British Columbia, Vancouver, Canada, in 2017. He was a Lecturer in the Department of Mechanical Engineering at Brunel University London, UK, 2014-16. He was a senior lecturer at the University of Hertfordshire before joining Brunel, 2011-2014. He was a visiting scientist and postdoctoral researcher in the Industrial Automation Laboratory, Department of Mechanical Engineering, at the University of British Columbia (UBC), Vancouver, Canada, 2007-2012. He was a visiting researcher at California Institute of Technology, USA, 2009-2011. He carried out post- doctoral research in the Department of Civil Engineering at UBC, 2005-2007. He received his Ph.D. in Mechanical Engineering from Brunel
Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems. ©American Society for Engineering Education, 2024 Virtual Reality
. Students apply in their first semester to take the course in their second semester,so they go abroad early in their academic career. The course covers the gamut of preparation,from culture-specific knowledge for the places they will visit, to basic issues of travel abroad, toa focus on the Engineering Cultures framework that emerged from the STS Department atVirginia Tech. Further, the course has begun partnering with North Carolina A&T, anhistorically black college. The students from UNCA&T join during the semester via distance-learning technology and also come on the trip itself, giving all students the healthy sense thatcultural difference does not just exist across national boundaries. The trip, like the semester-longcourse, exposes
Session 2651Environmental Impact and Economic Assessments of Brownfield Sites in Park Heights Baltimore. Gbekeloluwa B. Oguntimein1, Mahala Shillingford1, Wenjuan Lu2, Guangming Chen2 1 Department of Civil Engineering / 2Department of Industrial, Information and Manufacturing Engineering Morgan State University Baltimore, Maryland 21251Abstract:This paper presents a collaborative research project that cuts across discipline (Civil engineeringand Industrial, Information and manufacturing engineering) involving
, Secondary STEM Education, K-12 Outreach, Research Experience for TeachersBackgroundThere have been recent and rapid advancements in engineering research on data analytics theoriesand methodologies, enabled and driven by smart and connected technologies, to maintain andimprove our health, infrastructure, and communities [1]. Compared to the growth in analyticsresearch, curriculum development in the K-12 and higher education environments are often muchslower and do not reflect this growth [2]. Current curricular data analytics lesson plans forsecondary schools mainly focus on the ready-to-use applications and resources such as MicrosoftAccess and Excel, while leaving out the deep understanding of the ideas and theories [3]. Othersuse infographics to
), where they arereferred to as options instead of concentrations (as may be more conventional). Theseoptions are available in both the Mechanical and the Electrical Engineering degreeprograms, and some of the component courses are also open as free electives forComputer Engineering and Manufacturing Engineering Technology students as well.Below, a brief overview is provided of how each of these options have been structured andhow they fit into the respective degree programs, content of the component courses, andsome of the pedagogical approaches undertaken to achieve the goals of the options.4.1 ME Curriculum ExampleA Vehicle Systems Option was established within the Mechanical Engineering Program atLSSU beginning in the Fall 2007 semester
AC 2012-5008: CONTROLLED DRUG DELIVERY FROM ALGINATE SPHERESIN DESIGN-BASED LEARNING COURSEDr. Steve R Marek, University of Texas, Austin Steve R. Marek is a lecturer in the Department of Biomedical Engineering at the University of Texas, Austin. He received a B.S. in chemical and biomolecular engineering with a minor in biomedical engi- neering at the Georgia Institute of Technology in 2005. He earned a Ph.D. in chemical engineering at the University of Texas, Austin, in 2009 and transitioned to the College of Pharmacy, Division of Phar- maceutics, for his postdoctoral research in pulmonary drug delivery. He began his career as a teaching faculty member at the University of Texas, Austin, in 2011. Marek’s primary
Session _________Development of a Simulink based Simulation and Control Environment for Flexible Robotic Manipulator Systems Abul K M Azad, Said Oucheriah and Youakim Al_Kalaani Department of Engineering Technology, Northern Illinois University, Still Hall 203E, Illinois, IL-60115, USA. Email: azad@ceet.niu.eduAbstractThis paper deals with the development of an interactive and user friendly environment for thesimulation of flexible manipulator system. A constrained planer single-link flexiblemanipulator is considered for this environment. Simulation algorithm is
of Engineering in Electrical Engineering from Morgan State University. Mrs. Partlow currently serves as the Program Director of the Verizon Innovative Learning Program, which focuses on provid- ing minority middle school boys with hands-on learning experiences using advanced technology, app development software, 3-D design techniques, and entrepreneurship skills. She has also served as an on- line course development specialist responsible for the creation, organization, and delivery of several web based Electrical Engineering courses offered at Morgan State University. Her technical expertise includes, web-based learning, online course development, information management, systems integration, and 3-D simulation
Paper ID #35904Studies on teaming experience through embedding psychological safety,motivational driver, and cognitive diversity into pedagogyProf. Mirna Mattjik, Colorado School of Mines Mirna Mattjik is a Teaching Associate Professor in the Engineering, Design, and Society Division, Cor- nerstone Design@Mines Program. Mirna is also faculty in the McBride Honors Program, and faculty affiliate for Entrepreneurship and Innovation. Mirna’s formal education is in industrial technology, in- ternational political economy, project management and leadership. Her active research agenda is about improving teaching and learning for
electronics in the faculty of Engineering from Indore University, Indore, India.He has worked at Microelectronics Center of North Carolina and did his research in solid state electronics in N. C.State University and MCNC from 1986-1990. He later worked as an Associate Professor of Electrical and ComputerEngineering at LSU and now serves as a Professor in Southern University, Baton Rouge. He is currently the interimchair of Electrical Engineering Department at Southern University. His research interests are MEMS devices,sensors and nano technology. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003
Session 2547 Combining Computer Analysis and Physical Testing in a Finite Element Analysis Course William E. Howard, Thomas J. Labus, and Vincent C. Prantil Milwaukee School of EngineeringAbstractFinite element analysis (FEA) has become an essential tool in the product design process ofmany companies. A course in FEA is required in a large number of mechanical engineering andmechanical engineering technology curricula. Most FEA courses necessarily include somebalance of theory and practical use of a commercial FEA program. In a course recentlydeveloped at Milwaukee
Session 1664 Curriculum Development via Segmented Courses M. Becker, J. F. Holmes, L. Meekisho, W. Wood Oregon Graduate Institute of Science and TechnologyCourses in the Department of Materials Science and Engineering (MSE) at the Oregon GraduateInstitute have been divided into segments for separate credit delivered over portions of a term.This segmentation facilitates curriculum development around basic and generic subjects. It alsoreduces the effort associated with developing new courses, and makes education more costeffective through reduction of the duplication of course material. This is
AC 2010-510: CASE STUDIES FOR LEARNING AUTOMATED SYSTEMINTEGRATIONSheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (“Tony”) Hsieh is an Associate Professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also the Director of the Rockwell Automation laboratory at Texas A&M University, a state-of-the-art facility for education and research in the
initiate research for courses at community college level. For furtherclarification, two subjects are discussed which were researched and published with the helpof SUNY Erie college (ECC) – Mechanical Engineering Technology (MET) students. First subject was the “Failure in Engineering of the Crashed Flight 3407 Aircraft,”which was later published in the Journal of Mechanical Engineering and Automation(JMEA) in June 2016 [6]. The article discusses the engineering issues of the Flight 3407airplane and its crash in Clarence, NY on Feb 12, 2009, reviewing the low power-to-weightratio of the airplane and its inadequacy with respect to the de-icing system of wings in badweather conditions. The article also discusses the inherently flawed propeller
designed and constructed a solid state Tesla coil (or SSTC, shown in Figure1) for use in demonstrations to stimulate K-12 interest in science, technology, engineering, andmathematics (STEM) fields. In response to the subsequent interest of both practicing engineersand college engineering students in the SSTC, this paper proposes its use as a sample applicationin a power conversion course.Tesla coils have long been used in physics demonstrations to engage audiences and rouse interestin the sciences and engineering. More recently, solid state power electronics have been used todrive Tesla coils, allowing much greater control over the arcs and permitting the production ofmusic with their plasmas. It is expected, then, that the use of an SSTC in a
technology demands increasing attention. Among these new topics, Autonomous Vehicles (AVs) has seen rapid development in the pastfew years, with major implications for transportation engineers. As of 2020, 40 US states hadenacted legislation or executive orders related to autonomous vehicles [3]. The federal governmenthas also developed guidelines for the development and eventual deployment of AVs on US roads[4]. These guidelines classify AVs based on the extent to which human intervention is requiredfor their functioning, with Level 5 AVs being capable of driving themselves without any humancontrol under all conditions. Over the past several years, multiple private companies have beenrunning field trials of their prototype AVs. Dixit et al. [5
Paper ID #37704Leveraging ThingsBoard IoT Service for RemoteExperimentationAhmet Can Sabuncu (Assistant Teaching Professor) Dr. Sabuncu holds a Ph. D. in Aerospace Engineering from Old Dominion University. Dr. Sabuncu’s professional interests spans from engineering education research, engineering laboratory education, history of science and engineering, thermo- fluids engineering, and microfluidic technology. Dr. Sabuncu is eager to discover next generation workforce skills and to educate next generation of engineers who will carry Industry 4.0 forward considering the needs of the global world.Kerri Anne Thornton
a Mechanics ofMaterials class to better grasp the concepts and to do so in deeper and more meaningful way. Thestudy involving engineering students at Missouri University of Science and Technology in aMechanics of Materials course assessed the active learning strategies used to better engagestudents in discussion, peer instruction and problem solving during class. One strategy in thestudy used multiple choice quizzing during class with the goal of helping students to learn bypracticing difficult problem-solving while the instructor and peers were available for assistance.In addition to having instructor and peer support during the problem-solving process, studentsalso benefit from answering not just correctly, but also by answering
Paper ID #10379A New Educational Paradigm to Train Skilled Workers With Real WorldPracticeDr. Juan Song, Alamo College Dr. Juan Song is Corporate Account Executive in Alamo College at San Antonio, TX. She oversees secondary and post-secondary training in manufacutring and liaison between Alamo College and man- ufacture partners. She is also the coordinator for Toyota Advanced Manufacturing Technology(AMT) Program and the AMTEC-ATE liaison. Page 24.77.1 c American Society for Engineering Education
AC 2011-936: STATUS STUDY OF SOUTH TEXAS AND NORTHERN MEX-ICO TECHNICAL COLLEGES OFFERING CAD/CAM/CNC PROGRAMSCOMPARED TO AN ADVANCED MANUFACTURING PROGRAM IN CAD/CAM/CNCFarzin Heidari, Texas A&M University, Kingsville Dr. Farzin Heidari currently serves as an Associate Professor of Industrial Technology at Texas A&M University-Kingsville. Dr.Heidari has twenty years of teaching experience in CAD/CAM courses. He is currently serving as the Graduate Coordinator for the Industrial Management program. Page 22.10.1 c American Society for Engineering Education, 2011 Status Study of South