Paper ID #29674Student performance in partially flipped ECE laboratory classesDr. Ahmed Dallal, University of Pittsburgh Dr. Dallal is an assistant professor at the department of electrical and computer engineering, Unversity of Pittsburgh, since August 2017. Dr. Dallal primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, and computer vision, as well as machine learning, networked control systems, and human-machine learning.Dr. April Dukes, University of Pittsburgh April Dukes (aprila@pitt.edu) is the Faculty and Future Faculty
remember, understand, apply, analyze, evaluate, and create) inherent in documents.3.2. Data Collection and Text Processing.Data Collection. Figure 2 depicts the four-step process used in this study: 1) Data Collection andInventory, 2) Extraction of relevant text (i.e., competencies), 3) Text pre-processing, and 4) topic(noun) and level (verb) extraction.Figure 2. Steps to Processing Documents using NLPAs Figure 2 shows, Step 1 involved the collection and inventory of documents to be used in theanalysis (in this case AM Curriculum Framework and AM Competency Model). As a surrogatefor employers’ valued competencies, we used the 2010 DOL’s AM Competency Model [14]. Wealso used the 2019-20 CTE Curriculum Framework for Engineering Technology
Paper ID #28310Measuring Students’ Engagement in Learning Volumes of Revolution whenUsing Advanced Visualization Media in an Active Learning EnvironmentDr. Fadi Castronovo, California State University, East Bay Hi! My name is Fadi Castronovo, I am an Assistant Professor of Engineering at Cal State East Bay. I received my doctorate in Architectural Engineering at Penn State with a minor in Educational Psychology. I am strongly focused on my teaching and research. In my teaching, I strive to provide an engaging and active learning experience to my students, by applying innovative technology and researched pedagogi- cal
Paper ID #30554Development of a Printed Circuit Board Design Laboratory CourseDr. Pelin Kurtay, George Mason University Pelin Kurtay is Associate Professor and Associate Chair of the Electrical and Computer Engineering (ECE) Department at George Mason University. She currently heads the ECE Department’s undergrad- uate curriculum development efforts and leads other departmental initiatives. She is the recipient of the 2015 Teacher of Distinction Award at George Mason University for exceptional teaching and commitment to teaching-related activities in electrical and computer engineering and Information technology. She is a
thinking, and programming skills.Dr. Liyu Zhang, University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in SeptembDr. Hansheng Lei ©American Society for Engineering Education, 2020 Infusing Raspberry Pi in Computer Science Curriculum for Enhanced LearningAbstract— With the advent of cloud computing, the Internet of Things (IoT), and mobilecomputing, CS faculty are continuously revamping the curriculum material to address suchburgeoning set of technologies in practical and relatable
. His research interests are in ensuring the correct- ness of computer systems, including medical and IOT devices and digital hardware, as well as engineering education. In addition to teaching software and hardware courses, he teaches Creative Process and works with students on technology-driven creative projects. His teaching has been recognized with the Provost’s Teaching Innovation Prize, and he has twice been named Professor of the Year by the students in his department. c American Society for Engineering Education, 2020 Student Sense of Community Through an Introductory Computer Programming Course SequenceAbstractAn inclusive community is an important factor in
Professor in Mechanical Engineering Technology at the University of Maine and has worked in the mechanical engineering field for 22 years, with approximately 14 years of industrial experience. His industrial experience includes open hole testing in the oil and gas indus- try; failure analysis consulting; and extensive experience in the plastic processing industry, in which he designed plastic preforms and bottles, designed injection- and blow-molding tooling, designed and opti- mized polymer processing equipment, and led continuous improvement activities (e.g., Lean Six Sigma, SMED, and Gage R&R). Dr. Ellis’s professional interests include stress analysis, solid mechanics, con- tinuous improvement, design, and
explore human, technology and society interactions to transform civil engineering education and practice with an emphasis on understanding hazard recog- nition, competencies, satisfaction, personal resilience, organizational culture, training, informal learning and social considerations. The broader impact of this work lies in achieving and sustaining safe, produc- tive, and inclusive project organizations composed of engaged, competent and diverse people. The SRL is supported by multiple research grants, including a CAREER award, funded by the National Science Foundation (NSF). Dr. Simmons is a former project director of the Summer Transportation Institute (STI) at South Carolina State University and Savannah
2005, he has been the Undergraduate Laboratory Manager in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. His interests include undergraduate engineering education, energy harvesting, RFID, power electronics, plasma physics, and thin films.Mr. Alexander Gregory Culbert, Duke University Alexander Culbert is currently a product engineer at TrackX Technology, LLC. He received his B.S.E. in biomedical and electrical and computer engineering from Duke University in 2019. His past research includes utilizing additive manufacturing in pre-clinical medical imaging and using magnetic resonance imaging to verify pulmonary diseases. He is interested in medical imaging and devices
Paper ID #29682Enhancing Instruction by Uncovering Instructor Blind Spots from MuddiestPoint Reflections in Introductory Materials ClassesProf. Stephen J Krause, Arizona State University Stephen Krause is professor in the Materials Science Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of introductory materials engineering, polymers and composites, and capstone design. His research interests include evaluating conceptual knowledge, mis- conceptions and technologies to promote conceptual change. He has co-developed a Materials Concept Inventory and a Chemistry Concept
on sophomore-level foundational courses emanates from a set ofobservations about student learning and a gnawing sense of frustration shared by many facultymembers across many different institutions that we are failing to make the most of anextraordinarily important time in a student’s development. We are failing to bring enoughstudents to full fluency with the concepts that underpin many of the technical ideas thatengineers use to solve problems. Furthermore, there is a growing concern that the pedagogyneither embraces current technology—both in teaching and in professional application—nor doesit adequately embrace what is now known about how people learn [7] – [9].The foundational mechanics courses are generally taken by engineering
Paper ID #28982Work in Progress: Knowledge Networks and Computer-Assisted LearningDr. Edward E. Anderson, Texas Tech University Professor Edward E. Anderson is a faculty member of the Texas Tech University Department of Mechan- ical Engineering where he is a Ray Butler Distinguished Educator and Piper Professor Award recipient. Since returning to the faculty after several different administrative assignments, including Departmental Chairman, Assistant Dean, and Director of the TTU Teaching, Learning and Technology Center, he has focused upon engineering student learning research with an eye upon how to use these findings to
records, and public health surveillance. c American Society for Engineering Education, 2020 A Proposed Survey-Based Student-Centered Framework for Evaluation of Undergraduate Research Awareness in Minority-Serving Institutions AbstractThe purpose of this work in progress study is to present a survey-based framework to evaluatethe awareness of and participation in undergraduate research experiences (URE) by students inscience, technology, engineering, and mathematics (STEM) majors in Minority-ServingInstitutions (MSIs). MSIs, which include historically black colleges and universities (HBCU)and Hispanic serving institutions (HSI), recruit and admit underserved, low income, minoritystudents in various disciplines
Paper ID #30450Engagement in Practice: Exploring Boundary Spanning in aSchool-University PartnershipDr. Julee Farley, Montgomery County Public Schools and Virginia TechDr. Lisa D. McNair, Virginia Tech Lisa D. McNair is a Professor of Engineering Education at Virginia Tech, where she also serves as Director of the Center for Educational Networks and Impacts at the Institute for Creativity, Arts, and Technology (ICAT). Her research interests include interdisciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include
Paper ID #29808Procurement of Undergraduate Transient Heat Transfer Lab Experiment atNo BudgetProf. Nihad Dukhan, University of Detroit Mercy Nihad Dukhan is a Professor of Mechanical Engineering at the University of Detroit Mercy, where he teaches courses in heat transfer, thermodynamics, fluid mechanics and energy systems. His ongoing research interests include advance cooling technologies for high-power devices, with focus on metal foam as the cooling core, service learning and other engineering education pedagogies. He is a Fellow of American Society of Mechanical Engineers and a Fulbright scholar. His publications
Paper ID #29868Forecasting Drought Indices Using Machine Learning AlgorithmDr. Jay Lee P.E., California Baptist University Dr. Lee’s research interest is in information technology and strategic decision-making practices in various engineering management fields. His current research topics include spatial analysis utilizing a commercial Geographic Information System (GIS) applications and machine learning-based forecasting in engineer- ing practices.Dr. Yeonsang Hwang P.E., Arkansas State University Associate Professor of Civil EngineeringDr. Tae-Hoon Kim, Purdue University Northwest Dr. Tae-Hoon Kim, Ph.D in
science education. Additionally, Nisha has over five years of combined industry and science research experience, has worked recently as a senior bioscience associate at UT’s Austin Technology Incubator, and has served as an adjunct faculty member in biology for South University.Dr. Nina Kamath Telang, University of Texas at Austin Nina Telang is an associate professor of instruction in the Department of Electrical and Computer En- gineering at the University of Texas at Austin. She received the B.Tech degree in Engineering Physics from the Indian Institute of Technology, Mumbai in 1989, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Notre Dame in 1992 and 1995 respectively. Her teaching
Paper ID #30732Effectiveness of Undergraduate Teaching Assistants in First-Year DesignCourseMs. Lakshmy Mohandas, Purdue University Lakshmy Mohandas is a third year PhD student in the department of Technology at Purdue University. Her research interest lies in methods to improve student motivation and learning experience in higher education. She is also passionate about teaching and has been teaching a design thinking course for undergraduate freshmen in Purdue polytechnic since 2017.Prof. Nathan Mentzer, Purdue University-Main Campus, West Lafayette (College of Engineering) Nathan Mentzer is an associate professor in the
, Tampa, Florida. https://peer.asee.org/33366[7] J. Clark, J. Thompson, D. Mountcastle. “Investigating Student Conceptual Difficulties inThermodynamics Across Multiple Disciplines: the First Law and P-V Diagrams,” in Proceedingsof the 2014 ASEE Annual Conference & Exposition, Indianapolis, IN, June 15-18, 2014, AmericanSociety for Engineering Education, 2014. https://par.nsf.gov/servlets/purl/10018819[8] C. Hill, C. Corbett, and A. St. Rose. “Why So Few? Women in Science, Technology,Engineering, and Mathematics,” American Association of University Women (AAUW),Washington, DC, Tech. Report, 978-1-879922-40-2, February 2010.[9] K. Jordan, S. Sorby, and S. Amato-Henderson, “Pilot Intervention to Improve “Sense ofBelonging” of Minorities in
’ experience and academic outcomes.Data Collection Process and AnalysisThis research project will begin with IRB approval, allowing the researchers authority to performresearch with human subjects. Once secured, the researchers will invite students to participate.The populations involved in this study will consist of RISE Scholars and non-RISE Scholarsfrom Tufts University as they travel through their first year to senior year at Tufts University.All the students invited to participate in the study will possess equivalent entrance scores andwill be underrepresented in science, technology, engineering and math (STEM).Students will receive an email inviting them to participate in this research in the beginning oftheir first academic year. Once they
. Shethia holds a B.B.A. in Management Information Systems and an M.B.A. from University of Houston. She is currently the Education Research Manager in the George R. Brown School of Engineering at Rice University. c American Society for Engineering Education, 2020 Analysis of Panel Summaries of Proposals Submitted to the NSF S-STEM Program Abstract This research paper describes a preliminary analysis of panel summaries of proposalssubmitted to the National Science Foundation’s (NSF’s) Scholarships for Science, Technology,Engineering and Mathematics (S-STEM) program. S-STEM provides awards to institutions tofund
Biomedical Applications. c American Society for Engineering Education, 2020 Bidirectional and Collaborative Feedback between Instructors and Students for Scholarship of Teaching and Learning (SoTL) Jinhui Wang Electrical and Computer Engineering Department, University of South AlabamaAbstractFeedback is specific, nonjudgmental information, comparing performance with a standard, withan intention to improve performance. Students and faculty must incorporate feedback to developexpertise in both teaching and learning. In this paper, a methodology is proposed for bidirectionaland collaborative feedback between instructors and students for scholarship of
, 2019).[2] Kathiresan, S. and Echempati, R., Structural Analysis and Design Modification of Seat Rail Structures in Various Operating Conditions, SAE Technical Paper 2020-01-1101, 2020, https://doi.org/10.4271/2020-01-1101.[3] Patil, N.R., Kulkarni, R.R., Mane, B.R. and Malve, S.H., Static analysis of Go-Kart Chassis frame by Analytical and SolidWorks Simulation, International Journal of Scientific Engineering and Technology, 3(5), pp. 661-663, 2014.[4] Chen, Y.D., Bao, Z.Q., Ren, H.J. and Wang, Y.X., Finite Element Analysis for Product Design Based on SolidWorks Simulation, Computer technology and development, 2012-09.[5] Li, Q.S., Guo, L.J., Wang, W.B., Fan, J.Z. and Su, R.R., Fatigue analysis of head board of
Paper ID #29831Remotely Accessible Injection Molding Machine for ManufacturingEducation: Lessons LearnedDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the 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 manufactur- ing. He is also the Director of the Rockwell Automation laboratory at
IEEE-TIFS special issue on Face Recognition in the Wild (December 2014), and co-general chair of ICIP-2009. He is recipient of the University top Awards: Research (1999), Teaching (2009, 2011) and Trustees (2015).Dr. Asem Ali, University of Louisville Asem M. Ali received the M.S. degree in electrical engineering from Assiut University, Asyut, Egypt, in 2002, and the Ph.D. degree in computer engineering from the University of Louisville, Louisville, KY, USA, in 2008, where he was a Post-Doctoral Researcher with the Computer Vision and Image Processing Laboratory from 2008 to 2011. He was an Assistant Professor with the Department of Electrical Engineer- ing, Assiut University from 2011 to 2015. He is currently a
registered professional engineer and on the NSPE board for Professional Engineers in Higher Education. He has been active in ASEE serving in the FPD, CIP and ERM. He is the past chair of the IN/IL section. He is a fellow of the Teaching Academy and listed in the Book of Great Teachers at Purdue University. He was the first engineering faculty member to receive the national Campus Compact Thomas Ehrlich Faculty Award for Service-Learning. He was a co-recipient of the National Academy of Engineering’s Bernard Gordon Prize for Innovation in Engi- neering and Technology Education and the recipient of the National Society of Professional Engineers’ Educational Excellence Award and the ASEE Chester Carlson Award. He is a fellow
and Learning, and as a project manager for a large scale longitudi- nal research study in high school science classrooms. Prior to joining Mines Ariana was a Survey Team manager at GLG in Austin, TX.Dr. Amy Hermundstad Nave, Colorado School of Mines Amy Hermundstad Nave is a Faculty Developer in the Trefny Innovative Instruction Center at the Col- orado School of Mines. She earned a BS in Mechanical Engineering from Colorado State University before going on to earn her PhD in Engineering Education and MEng in Mechanical Engineering from Virginia Tech. Her research has focused on conceptual understanding in core engineering courses, op- portunities to support engineering students’ professional development, and
student ambassador for the technology department.Dr. Matthew Aldeman, Illinois State University Matthew Aldeman is an Assistant Professor of Technology at Illinois State University, where he teaches in the Renewable Energy and Engineering Technology programs. Matt joined the Technology department faculty after working at the Illinois State University Center for Renewable Energy for over five years. Previously, he worked at General Electric as a wind site manager at the Grand Ridge and Rail Splitter wind projects. Matt’s experience also includes service in the U.S. Navy as a nuclear propulsion officer and leader of the Reactor Electrical division on the aircraft carrier USS John C. Stennis. Matt is an honors graduate of
the University of British Columbia, Vancouver, BC, Canada in 2013. He was a Postdoctoral Scholar at Davis Millimeter- Wave Research Center (DMRC) at University of California, Davis from 2014 to 2016. Since July 2016, he has joined the Department of Electrical and Computer Engineering at University of California, Davis as an Assistant Professor of Teaching. His educational research interests include curriculum innovation for teaching circuits, electronics and control systems, project-based learning, and the use of technology in teaching and learning. American c Society for Engineering Education, 2020Work in Progress: Experiential Modules using Texas
learning skills that will make them competitivefor academic positions in higher education. The ability for graduate trainees to develop self-efficacy in teaching (individual beliefs regarding influence on student learning) is critical,supporting their transition to an independent academic career [9]. Consequently, the outcomesof relevant professional development programs for graduate students have great potential toinfluence next generation teaching approaches, and subsequent innovation in undergraduateeducation [10].Interestingly, and of relevance to our current model, self-efficacy varies for graduate students indifferent disciplines. It has been determined that a STEM (Science, Technology, Engineering,Math) environment is a negative predictor