Teaching Practices (ESSEnCe). Dr. Fu is an assistant professor in the Mechanical and Aerospace Engineering department and Biionix cluster at UCF. He received his PhD from Arizona State University, MS from University at Buffalo, and BS from Tsinghua University. Dr. Fu’s laboratory focuses on the neural control of human upper extremi- ties using interdisciplinary approaches such as robotics, virtual reality, and neural imaging. His research on human manual dexterity has broad applications in brain-machine interfaces, neurorehabilitation, and assistive devices. ©American Society for Engineering Education, 2024 2024 ASEE Southeast Section Conference The Success of
was a Professor of Mechanical Engineering at Georgia Southern University-Armstrong Campus, Savannah GA. He received his Ph.D. and M.S. in Mechanical Engineering from Georgia Institute of Technology and his B.S. in Mechanical Engineering (Cum Laude) from Louisiana State University. He has published 16 papers in peer-reviewed journals, 28 papers in peer-reviewed conference proceedings, and given 12 technical presentations on various topics including: additive manufacturing, mechatronics, biomechan- ics, and engineering education. He currently teaches the Engineered Systems In Society, Mechanical Engineering Professional Practice, and Capstone Design I and II courses.Dr. Dominik May, University of Georgia Dr. May
AC 2010-658: INCREASE STUDENT PROJECT OUTCOME IN EMBEDDEDSYSTEM COURSE THROUGH DESIGN COMPETITIONMichael Kimbrough, University of Tennessee at MartinRhett Chrysler, University of Tennessee at MartinSomsak Sukittanon, The University of Tennessee at Martin Page 15.719.1© American Society for Engineering Education, 2010 Increase Student Project Outcome in Embedded System Course through Design CompetitionAbstractIn 2007, an upper division elective course in embedded systems at the University of Tennessee atMartin was switched from the Intel 8085 to the ATMEL AVR microcontroller. The objective isto teach students how to design a hardware interface and to
AC 2010-986: HYBRID COURSE FORMAT FOR PROJECTS IN ROBOTICSHakan Gurocak, Washington State University, Vancouver Hakan Gurocak is Director of School of Engineering and Computer Science and Associate Professor of Mechanical Engineering at Washington State University Vancouver. His research interests are robotics, automation, fuzzy logic, technology assisted distance delivery of laboratory courses and haptic interfaces for virtual reality. Dr. Gurocak is an ABET Program Evaluator for mechanical engineering. Page 15.659.1© American Society for Engineering Education, 2010 HYBRID COURSE FORMAT
Paper ID #8578Ms. Hines and the Sick 5th Graders -– Making hands-on outreach and learn-ing about the Environment engaging through the use of Case Stories!Mrs. Janie Gina Locklear, NC A&T I am a Senior Civil Engineering major with 5 years experience teaching elementary science. I returned to school to obtain a second degree in engineering after learning that I have a stronger passion for design and problem solving. As a teacher, I emphasized to my students daily the importance of science and en- gineering and promoted love and passion for the related work by using hands-on experience with EVERY lesson taught. My
the College of Engi- neering at the University of Michigan. She has a B.E. in Chemical Engineering from the University of Dayton and a Ph.D. in Engineering Education from Purdue University. Her research focuses on idea gen- eration, design strategies, design ethnography, creativity instruction, and engineering practitioners who return to graduate school. She teaches design and entrepreneurship courses at the undergraduate and graduate levels. Her work is often cross-disciplinary, collaborating with colleagues from engineering, education, psychology, and industrial design.Prof. Kathleen H. Sienko, University of Michigan Kathleen H. Sienko is a Miller Faculty Scholar and Associate Professor of Mechanical and
Paper ID #9196Using Excel to Implement the Finite Difference Method for 2-D Heat Trans-fer in a Mechanical Engineering Technology CourseMr. Robert Edwards, Pennsylvania State University, Erie Bob Edwards is a Lecturer of Engineering at Penn State Erie, The Behrend College, teaching in the Mechanical Engineering Technology department. He has a Bachelors in Mechanical Engineering from Rochester Institute of Technology and a Masters in Engineering from Gannon University. His primary area of interest is in the thermal sciences. He teaches thermodynamics, heat transfer and a thermal sci- ences course for Electrical Engineering
Paper ID #6041Using Nonlinear Programming to Optimize the Fiber Packing Density of Op-tical Fiber Cables- A Short Problem-Based Learning CourseDr. Kenneth W. Jackson, Southern Polytechnic State University Kenneth W. Jackson, Ph.D. – P.E. Dr. Ken Jackson received his Ph.D. in Mechanical Engineering from the Georgia Institute of Technology. He also holds an M.S.M.E and a M.S. I.E. from Georgia Tech and a B.S.M.E from Auburn University. Before joining SPSU he worked for 15 years at the Bell Laboratories as a Consulting and Distinguished Member of Technical Staff. At Bell Labs Dr. Jackson worked on the design, development and
estimation on ultrasonic sensor using Kalman filter,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 5, no. 2, pp. 129–136, 2020. [8] J. Merricks, K. E. Cox, A. M. Moser, and S. A. Robertson, “Research and teaching: Integrating lecture and laboratory in health sciences courses improves student satisfaction and performance,” J. Coll. Sci. Teach., vol. 49, no. 6, pp. 16–23, 2020.
Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for seven years before joining Cal Poly, San Luis Obispo in 2006. ©American Society for Engineering Education, 2025 Adaptive Learning Modules in Introductory Engineering CoursesAbstractDynamics is a foundational engineering course, however, students often find it challenging dueto their limited prior experience and preconceptions. Conventional teaching methods in thiscourse frequently fall short of connecting main principles in ways that improve
Industry Academia ModelAbstractThis paper describes a collaborative industry-academia model for teaching medical devicedesign, which combines active learning with input from industry experts. The course coversinterdisciplinary topics such as biological testing, human factors, usability engineering, riskmanagement, and regulations, areas that go beyond the expertise of a single instructor. Industryprofessionals contribute through guest lectures, mentorship, and real-world case studies, ensuringthat students gain practical, industry-relevant knowledge. Students work on hands-on projectsthat simulate real-world scenarios, helping them develop critical thinking, teamwork, andproblem-solving skills. Active learning activities like sensor-based labs and
includes discovering how AIaffects students after they enter industry. The impact of AI on engineering students’ knowledgeof technical material taught in engineering education also continues to remain unknown. Alongitudinal study following students throughout their education and into industry could answersome of the unknowns about how AI impacts students as they enter industry.References[1] A. M. F. Yousef, A. M. A. El-Haleem, and M. M. Elmesalawy, “Determining Critical SuccessFactors for an Online Laboratory Learning System Using Delphi Method,” in 2022 InternationalConference on Intelligent Education and Intelligent Research (IEIR), Wuhan, China: IEEE, Dec.2022, pp. 86–93. doi: 10.1109/IEIR56323.2022.10050041.[2] E. Liao, “Research on Teaching
” have come todominate analog and digital electronics, introductory electronics courses in Electrical andComputer Engineering programs have evolved to place greater emphasis on CMOStransistors and amplifiers. However, due to the perception that chip design is tooesoteric, both lecture and laboratory coverage of this important topic are usually deferredto more advanced courses. Design experiences are instead limited to “breadboard”circuits using discrete components and operational amplifiers.This paper presents a new approach to teaching introductory electronics that incorporatesthe design and layout of CMOS chips. The coverage of topics in the two-semestersequence only needs minor changes from the traditional approach. Topics on the physicsand
teaching manufacturing systems, engineering systems anddesign, engineering management, health care systems, and lean six-sigma process improvement;all subjects in which students need to gain an understanding of complex systems.Many teaching simulations are implemented physically, as laboratory or table-top systems. Thesesimulations have the advantage of being direct (if often simplified and miniaturized) models ofthe systems in question, allowing tactile learning from manipulating the simulation elements, andfostering face-to-face teamwork by the participating students. The idea of implementing suchsimulations in virtual environments seems promising. Theoretically, these implementationsshould be cheap, easy to implement, and universally available
selection of teaching methodsthat may enable more connections to be forged in our community. This initial study will focus onVygotsky's sociocultural theory in order to explore how if we open the classroom up to socialinteraction on difficult topics, we can promote internalized individual reflection of socialbehaviors. It is the development of this praxis that has the aim of preventing depression ascaused by loneliness in our increasingly fractionated society.Authenticity in relationships and loneliness play a large factor in depression. The initial scope ofthe study is to identify elements of our curriculum that may be affecting authenticity andcategorizing them to form an assay with regard to types of activity our students are engaged in
Paper ID #37647A Case Study on Macroethics and Social Justice at theUniversity of [BLINDED], CanadaKathryn Johnson (Professor) Kathryn Johnson is a Professor at the Colorado School of Mines in the Department of Electrical Engineering and is Jointly Appointed at the National Renewable Energy Laboratory. After starting her career with a research focus on wind energy control systems, first developed an interest in engineering education research in the Fall 2011 when she experienced Aalborg University's (Denmark) Problem-Based Learning philosophy. Since then, she has led two NSF grants in social justice and
Paper ID #38085Role of diverse teams and socio-cultural aspects on studentslearning in freshman design courseRaghu Pucha (Principal Lecturer) Dr. Raghu Pucha is a Principal Lecturer at the Woodruff School of Mechanical Engineering, Georgia Institute of Technology, in the area of CAD/CAE and Manufacturing. Dr. Pucha teaches design, mechanics and manufacturing related courses at Georgia Tech., and conducts research in the area of developing computational tools for the design, analysis and manufacturing of advanced materials and systems. Dr. Pucha has three provisional U.S. patents and co-authored over 70 research
2017 Pacific Southwest SectionMeeting: Tempe, Arizona Apr 20 Paper ID #20693Introduction to Engineering Using Interactive Video in Support of a FullyOnline Flipped Classroom ApproachProf. John M Santiago Jr, Colorado Technical University Professor John Santiago has been a technical engineer, manager, and executive with more than 26 years of leadership positions in technical program management, acquisition development and operation research support while in the United States Air Force. He currently has over 16 years of teaching experience at the university level and taught over 40
computer-based models at theexpense of physical models. This fact is behind a general trend of teaching applied engineeringsubjects with minimal students’ involvement with physical set-ups including laboratoryexperiments. Carrying out laboratory experiments and generating experimental data, visiting aproject site, and using pencil and paper to produce a schematic, are gradually fading away. Thesetraditional tools were instrumental in developing an engineering common sense. It is argued herethat generating data from physical models is potentially a great learning tool, particularly whenthe model is built by the students. Building a model, testing a model, generating physical datafrom the model, and analyzing said data, help students alternate
Metallurgical Engineering from Queen’s University, Kingston, Ontario, Canada. Before joining FGCU, Dr. Egiebor was Professor and U.S. Department of Energy Chair of Excellence in Environmental Engineering at Tuskegee University, where he was the coordinator of the environmental engineering undergraduate program between 1996 and 2005. Dr. Egiebor has received several national and international awards for teaching and research accomplishments in environmental engineering, including the German Alexander von Humboldt Senior Fellowship Award in 1994 and the U.S. Department of Energy Award for teaching and research in 2003.James Sweeney, Arizona State University JAMES D. SWEENEY has been hired by
Paper ID #25374The Impact of Course Transformation on Student Learning and Success inFundamental Electrical Engineering/Computer Science CoursesDr. David O. Johnson, University of Kansas David O. Johnson is a Lecturer in the Electrical Engineering and Computer Science department at the Uni- versity of Kansas in Lawrence, KS, USA. He received his BSEE and MSEE from Kansas State University and his PhD in Computer Science from the University of Kansas. Prior to two post-doctoral research appointments at the Eindhoven University of Technology in the Netherlands and in the Applied Linguis- tics Speech Laboratory at Northern
produce computer-based models at theexpense of physical models. This fact is behind a general trend of teaching applied engineeringsubjects with minimal students’ involvement with physical set-ups including: laboratoryexperiments. Carrying out laboratory experiments and generating experimental data, visiting aproject site, and using pencil and paper to produce a schematic, are gradually fading away. Thesetraditional tools were instrumental in developing an engineering common sense. It is argued herethat generating data from physical models is potentially a great learning tool, particularly whenthe model is built by the students. Building a model, testing a model, generating physical datafrom the model, and analyzing said data, help students
Page 26.951.2support research activity at an internationally competitive level for a top 100 university.Coordinating two courses for 300 or more students is normal, with support from teachingassistants for tutorials and laboratory classes. (In Australian universities, each course isnormally 25% of a full-time student’s study load for a semester.) In view of its importance,the capstone design course has a slightly higher level of teaching resources than most othercourses.The second challenge is students’ lack of practical knowledge. Practical knowledge amongstudents entering our engineering courses is usually limited to basic domestic repairs andassembling flat-packed furniture. Almost all the prior courses completed by students focuson
© American Society for Engineering Education, 2024 2024 ASEE Midwest Section Conferenceadopt modern scripting languages such as Python and Java [1]. Furthermore, there has been littleintegration of coding courses into the civil engineering curriculum, with coding courses taught by anadjacent department and not by civil engineering professors [1]. While previous data sets weremanageable in spreadsheets and teaching spreadsheet classes is a norm across civil engineeringdepartments [1], improvements in sensors that collect real time data and improvements in mapping largeamounts of data (GIS), monitoring data (large EPA and USGS databases) and the overall emergence ofbig data sets has driven the need to teach students
settings committed to environmental protection. She teaches undergraduate and graduate courses including Aquatic Chemistry, Environmental Engineering Laboratory, and developed an interdisciplinary project based two course sequence, Sustainability Concepts: Mercury in Tampa Bay and Mercury in Guyana. She is the faculty advisor for USF's Chapter of Engineers for a Sustainable World and is an affiliate of the USF Office of Sustainability.Ken Thomas, University of South Florida Ken D. Thomas is currently at PhD Candidate and teaching assistant at USF’s Department of Civil & Environmental Engineering. Ken obtained BSc Chemical and Process Engineering as well as MSc Environmental Engineering from UWI
gained increased popularity in engineering education.The functionality of simulating paper and pencil by allowing the user to use a stylus and writedirectly on the computer screen to create electronic documents that can be easily edited usingcommonly available computer applications makes Tablet PCs more suitable than laptopcomputers in solving and analyzing problems that require sketches, diagrams, and mathematicalformulas. Combined with wireless networking technology, Tablet PCs have the potential toprovide an ideal venue for applying previously proven collaborative teaching and learningtechniques commonly used in smaller engineering laboratory and discussion sessions to a larger,more traditional lecture setting. Currently, the range of use of
have also been many studies that explore engineering instructors’ teaching beliefs,and what factors and contexts influence their course decision-making. In a study that involvedten engineering instructors, Huang et al. (2007) found the importance of time as a factor thatinfluences teaching decisions. These instructors used creative ways to address the teachingchallenges, such as considering the students’ needs and being selective in terms of curriculumcontent. A literature review explored instructor decisions to integrate laboratory components intoengineering education, showing that instructor decisions were shaped by factors such asinstitutional context and policies, the role of society, and stakeholders such as students andaccreditation
well as school and camp curriculums centered around Artificial Intelligence. Previously, he has worked as an instructor at Mathnasium, where he taught math to K-12, and as a lab assistant in an undergraduate laboratory at the University of Florida.Jacob Casey Yarick, University of Florida Jacob Yarick is an undergraduate student at the University of Florida pursuing a Bachelor of Science in Aerospace Engineering and Bachelor of Science in Astrophysics. He works under the EQuIPD program where he designs, creates, and teaches lessons related to Python programming and Artificial Intelligence. Previously, he has worked at the Kika Silva Pla Planetarium, and the Calusa Nature Center & Planetarium. He has also tutored
the fundamentals ofembedded systems and IoT.” Some other student responses to this question are as follows.“developing real world work”,“The professor really helped us in anyway she could.”Next, the students were asked “Did you understand what was expected of you in this course?”. Inresponse to this question, 50% replied Extremely well, 25% Well and 25% reasonably well. As areply of the question “Were you adequately prepared in the prerequisite course to take this course?”, 50% response was Extremely Well, 25% replied Well and 25% students responded poorly.5 ConclusionsIn this paper, I presented some laboratories that the students conducted using a remote simulationtool: Tinkercad. The pedagogical approach of remote teaching was briefly
, effectiveness, and pedagogical value ofstudent-generated stories in a fluid mechanics course part of the mechanical engineeringtechnology curriculum. This application, which addressed Accreditation Board for Engineeringand Technology (ABET)’s Criterion 3 and Criterion 5c, was implemented in a four-credit hour(ch) senior-level applied fluid mechanics course, with a 3ch lecture and 1ch laboratorycomponent. The course is the second in fluid mechanics’ sequence and covers topics likepipeline systems design, pump selection, flow of air in ducts, lift and drag, etc. The originalinstructional design used a blend of traditional in-class lectures and problem-based learningfocused on project-based and other laboratory exercises.To further improve the students