). How People Learn: Brain, mind, experience, and school. Washington, DC: National Academy Press2. Langer, A..M. & Knefelkamp, L.L., (2001). Forms of Leteracy Development with Technology in the College College Years: A Scheme for Students, Faculty and Institutions of Higher Learning. Paper Presented at the AACU Conference on Technology, Learning, & Intellectual Development, November, Baltimore.REUBEN H. FANReuben H. Fan received his BS in Biology and BA in Mathematics in 2002 from Emory University. He iscurrently enrolled as a graduate student in the Department of Biomedical Engineering at Vanderbilt University.ELIZABETH S. STRICKERElizabeth S. Stricker is an Assistant Director with the VaNTH Engineering Research Center at
Session 2793 Creating and Measuring an Awareness of Professional Ethics Richard A. Layton North Carolina A&T State UniversityAbstractThis paper presents an approach for creating in students an awareness of the ethical responsibili-ties of practicing engineers. Using a case study in professional ethics, students in a junior-levelmechanical engineering design course are given two consecutive writing assignments which arethe basis for four classroom discussion periods that focus on student responses to the case study.The student assignments are in addition to, and do not
Session 2420 There Is No Substitute For Face-to-Face Learning: Or Is There? Tim Diemer, Robert Wolter, Cliff Goodwin Purdue University School of Engineering and Technology/IUPUI In spring of 2000, the Department of Organizational Leadership and Supervision (PurdueSchool of Engineering and Technology, Indiana University Purdue University Indianapolis)offered students the option to take a sophomore level survey course fully online. The course,titled "Human Behavior in Organizations," was also offered in traditional, classroom-basedsections. The challenge the authors faced as instructors went beyond the usual
/1978. Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press6. Vygotsky, L. S. 1934/1986. Thought and language (A. Kozulin, Trans). Cambridge, MA: MIT Press7. Danforth, D., Elkin, E., Emberton, S., Martinez-Hernandez, K., Nattam, N., Pedela, R., Maicher, K., Morales, C., Weaver, G. 2006. The design process of a chemistry video game. Proceedings of the 2006 American Society for Engineering Education Annual Conference.8. Coller, B., Shernoff, D. 2010. An initial analysis of student engagement while learning engineering via video game. Proceedings of the 2010 American Society for Engineering Education Annual Conference.9. Fengfeng, K. 2008. A case study of
Session 2793 Transition from Traditional Courses to Time-shortened Courses – New Initiatives in the Construction Technology Discipline Sanjiv Gokhale, Hadi Yamin Purdue School of Engineering and Technology, IUPUIAbstractIntensive or time-shortened courses taught outside the traditional semester or quarter systemformat are becoming increasingly common in many colleges and universities across the UnitedStates. The primary reason for this transition from traditional courses to flexible format coursesis due to the increasing number of non-traditional students. Intensive, short duration courses
Paper ID #41960Board 243: Development and Validation of Learning Through Making Instrument(LMI) Project OverviewMr. Leonardo Pollettini Marcos, Purdue University Leonardo Pollettini Marcos is a 3rd-year PhD student at Purdue University’s engineering education program. He completed a bachelor’s and a master’s degree in Materials Engineering at the Federal University of Sao Carlos, Brazil. His research interests are in assessment instruments and engineering accreditation processes.Dr. Julie S Linsey, Georgia Institute of Technology Dr. Julie S. Linsey is a Professor in the George W. Woodruff School of Mechanical Engineering
K. Yasuhara, “Storytelling In Engineering Education,” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, ASEE 2007, 2007, Honolulu, HI, https://doi.org/10.18260/1-2--2904.[2] M. Sandelowski M. “Telling stories: narrative approaches in qualitative research,” Image--the journal of nursing scholarship, Vol 23, No. 3, pp. 161-6, 1991.[3] J. A. Archibald, Indigenous storywork: Educating the heart, mind, body, and spirit. Vancouver, BC: UBCPress, 2008.[4] B.M.J. Brayboy, B. M. J., “Toward a tribal critical race theory in education,” The Urban Review, Vol 37, No. 5, pp. 425–446, 2005.[5] S. Bird and N. Kellam N “Teaching Journeys of Engineering Faculty
communications plant including power generation, thephysical nature of these changes has been challenged again and again. Section II gives acomparison of Overhead verses Buried plant. Section III discuses a History of Phone Poles. InSection IV, we discuss issues of Communication Aesthetics in the Modern Era. Section Vdiscusses Aesthetics of Transmission Infrastructure. Proceedings of the 2013 American Society for Engineering Education Pacific Southwest Conference Copyright © 2013, American Society for Engineering Education 468 II. Overhead vs. Buried PlantOver time, overhead solutions tended to be the more cost effective
AC 2011-269: A COLLEGE-INDUSTRY RESEARCH PARTNERSHIP ONSOFTWARE DEVELOPMENT FOR UNDERGRADUATE STUDENTSAna Elisa P. Goulart, Texas A&M University Ana Goulart is currently an assistant professor at the Electronics and Telecommunications Engineering Technology Program at Texas A&M. She received her Ph.D. in Electrical and Computer Engineering from Georgia Tech, and a M.Sc. in Computer Engineering from North Carolina State University. Her research interests include protocols for real-time communications, IP telephony, wireless networks, and engineering education.Chris Corti, Ph. D., Cisco Systems, Inc.Matthew Robert Hawkes, Cisco Manager, Software Engineering at Cisco
equilibrium devices, we don’t want to acquire and save values while the sensor is changing its mind. If data is taken too fast or slow the result is waste. Device Construction—Materials processes or unit processes. How do the bulk structure, the thin films present, chemistry, and physics of the systems employed interact with or impact the structural design? Page 7.1086.4 Proceedings of the 2002 American Society for Engineering Education Annual Conference and Exposition Copyright © 2002, American Society for Engineering Education Process flows and Wafer level Process sequence
AC 2011-47: USING SOFTWARE DEFINED RADIO FOR MULTIDISCI-PLINARY SENIOR DESIGN PROJECTSJames Flynn, California State University, Northridge James Flynn is a part time faculty member in the Department of Electrical and Computer Engineering at California State University, Northridge (CSUN). He holds a B.S. (1977) degree in Electrical Engineering from the Illinois Institute of Technology and a Master of Fine Arts (1981) degree from Northwestern Uni- versity. He is a partner in a consulting firm specializing in electronics for television and film production. Currently he is developing education tools involving software defined radio (SDR).Sharlene Katz, California State University, Northridge Sharlene Katz is a Professor
© 2011 American Society for Engineering Education.• What impact the project has on students in acquiring new knowledge and skills in alternate energy?• Does course delivery and experiential learning support constructivist learning theory that asserts that knowledge is not simply transmitted from teacher to student, but is actively constructed by the mind of the learner through experiences?• How effective is the experimental test bed in achieving a comprehensive knowledge of harnessing alternate energy?• How effective are the learning modules in meeting the objective of green energy education?• How does the new facility enhance the motivation and interest of students, and others in alternate energy
laboratory experience may add to the student learning outcomes and preparefuture engineers. With this in mind we feel that remote applications will greatly increase withineducational sites following the growth within industry.ConclusionRemote laboratories are coming to a point in their development where we feel they will becomeessential to the education of future engineers. Future engineers will work in an increasinglytechnical and interconnected world. Engineering education programs will continue to balance Page 22.538.8the time for degree completion with the continued rapid increase of engineering knowledge andapplications. Remote laboratory
basiccategories: (1) direct application in the mechanics of design and construction (acoustics,physics, astronomy, drawing, geometry, materials, and arithmetic); (2) making the architect’swork intelligible and meaningful to his client and to other members of his culture(communication, cultural history); (3) making his project workable in relation to context anduse, including connection to various social systems and customs (geography, religious customs,medicine, law); and (4) making the architect ethical or “high-minded” (philosophy).Throughout the Ten Books, he is guided by a concrete vision of the use to which a design orsystem will be put. He defines the context of engineering broadly, and considers factors rangingfrom religious and social customs to
open-minded and/or liberal students naturally select liberal arts © American Society for Engineering Education, 2023 2023 ASEE Midwest Section Conferenceinstitutions [9]. While the argument may have some validity at selective institutions or theliberal arts college archetype of decades past, we do not believe that statement characterizes thehome institution composition.Mortality (as in college retention/drop-out) of participants warranted special consideration in thecross-sectional (not longitudinal) study. Is the improvement in sophomores caused by lower-scoring students preferentially dropping out? While one may expect this to be visible in thenorms as well, this effect may be more
human capability, improve safety, and push the boundaries of human-machine collaboration. With experience in software development, research, and my time in the U.S. Air Force, I strive to create technology that not only solves real-world problems but also helps people overcome personal limitations. I am driven by the belief that AI can be a powerful tool for both individual and societal advancement. ©American Society for Engineering Education, 2025 1 Section XXXX AI-Enhanced DOBOT Magician for Classroom Education: Hand Gesture Control for Hazardous
2015 ASEE Northeast Section Conference Computer Simulation Modeling of a Real System in an Undergraduate Computer Control Systems Laboratory Tooran Emami U. S. Coast Guard Academy, New London, CT 06320AbstractThis paper presents the procedures for modeling a real time DC motor based on computersimulation in a Computer Control Systems laboratory. The lab is for undergraduate junior levelElectrical Engineering students at the United States Coast Guard Academy (USCGA). Thislaboratory enhances better understanding fundamental engineering concepts via hands onexperience. The objectives are to identify a continuous time transfer
of Calculus.Dr. Eliud Quintero, Tecnologico de Monterrey (ITESM) PhD in Innovative Education by the Monterrey Institute of Technology and Higher Education (ITESM). Degree in Mathematics by UANL, in Monterrey, Mexico. Interested in research areas such as educational technology for the learning of mathematics, teaching - learning of calculus, visualization, analysis of multimodal production of signs.Prof. Pablo Guillermo Ramirez, Tecnologico de Monterrey Professor of Electrical Engineering department, Engineering School at Tecnologico de Monterrey, Mon- terrey Campus. His research and development areas are: Virtual and Augmented Reality, Physical In- terfaces and Electronic Systems, Human Computer Interaction
. Page 2.476.10Bibliography[1] T. Armstrong. Multiple Intelligences In The Classroom. Association for Supervision and Curriculum Development. Alexandria, VA, 1994.[2] H. Gardner. Frames of Mind, The Theory of Multiple Intelligences, Tenth Edition. HarperCollins Publishers Inc., 1993.[3] H. Gardner. Multiple Intelligences, The Theory in Practice. HarperCollins Publishers Inc., 1993.[4] H. Gardner. “Reflections on Multiple Intelligences, Myths and Messages”. Phi Delta Kappan, pages 200-209, November 1995.Biographical InformationJOAN V. DANNENHOFFER, P.E., is Assistant Professor of Mathematics at Ward College of Technology,University of Hartford. She received a B.S. in Civil Engineering and an M.B.A. from Rensselaer PolytechnicInstitute and
AC 2010-264: INNOVATIVE TRAINING STRATEGY (ITS) FOR TEACHINGASSISTANTSRobert Brooks, Temple UniversityTony Singh, Temple UniversityHossein Rostami, Philadelphia UniversityFernando Tovia, Philadelphia UniversityAmithraj Amavasai, Temple University Page 15.744.1© American Society for Engineering Education, 2010 Innovative Training Strategy (ITS) For TAsAbstractThe Department of Civil and Environmental Engineering at Temple University offers anEnvironment Course to approximately 400 students (20 sections) every semester. An experimentwas carried out during Fall 2007. During that semester, a control group of 8 teaching assistants(TAs) were given a manual on the 3
Session 2793 Agent-Based Real-Time Pedagogy for Proof Construction Paul Bello and Selmer Bringsjord The Minds and Machines Laboratory Department of Cognitive Science Department of Computer Science Rensselaer Polytechnic Institute Troy NY, USA 12180 bellop@cs.rpi.edu, selmer@rpi.eduThere is a disturbing paradox at the heart of contemporary American education: As thiseducation turns more and more “electronic,” we are
transitional questions will tend to arise, as a natural curiosity develops in the minds of astudent.Application of Kolb Cycle to Fatigue FE Learning ModuleIn a paper written by Brown8, Teaching Finite Elements using the Kolb Learning Cycle, a globalanalysis of a FE course is made in regard to stages of the Kolb Cycle that are experienced in thatcourse. Brown states that, “ Students are provided Abstract Hypothesis/Conceptual Modulesthat begin with the background of the FE method, fundamental mathematics of FE, movethrough the concept of “stiffness-analysis”, one-dimensional direct stiffness analysis of variousstructures, the topology of the various finite elements, error analysis of FE results, and concludeswith how to model engineering problems using
transitional questions will tend to arise, as a natural curiosity develops in the minds of astudent.Application of Kolb Cycle to Fatigue FE Learning ModuleIn a paper written by Brown8, Teaching Finite Elements using the Kolb Learning Cycle, a globalanalysis of a FE course is made in regard to stages of the Kolb Cycle that are experienced in thatcourse. Brown states that, “ Students are provided Abstract Hypothesis/Conceptual Modulesthat begin with the background of the FE method, fundamental mathematics of FE, movethrough the concept of “stiffness-analysis”, one-dimensional direct stiffness analysis of variousstructures, the topology of the various finite elements, error analysis of FE results, and concludeswith how to model engineering problems using
internally with no industry partner, no graduate student supervision, and no instructorin mind. The evaluation of student work during the work term showed that students were able todemonstrate several graduate attributes, and frequently demonstrated them at a level higher thantheir academic level. Similarly, from the survey which was sent out to all past coops of the IdeasClinic, the students themselves are also perceiving improvements in their ability and/or self-efficacy to conduct engineering work after working with the Ideas Clinic. Students were able toapply their learnings from the work term to both the academic setting and to future work inindustry, and generally seemed to enjoy their time with the Ideas Clinic.Thinking about this program
learning.Assessment will be provided to demonstrate the effectiveness of these pedagogical basics on thestudent learning and professor’s classroom performance.I. IntroductionSo how do you like to learn a new concept? Read a textbook and/or journal article on thesubject? Maybe throw in some type of experiment with technology to simulate the theory? Felderpoints out that in most areas we as faculty learn differently than how students learn best.1 Ourmission is to assist students with varying learning styles to learn new concepts. So how dostudents like to learn? How do they learn best? Considering the 1990 Seymour and Hewitt2 studythat shows 40 percent of engineering undergrads switch from science, mathematics, andengineering disciplines due primarily to poor
student team were partiallyachieved. The engineering design process was loosely followed, but the design selection processwas not discussed and final designs were not specifically defined. Their designs consideredsustainability factors; however, they were not fully justified with mathematical models and data.Each student collaborated effectively with their other team members, but their technicalcommunication was inconsistent and incomplete between their presentations and reports.Observations of Student LearningOverall, the expected student learning outcomes were observed to be achieved. Most studentteams applied the engineering design process to produce sustainably minded solutions andsupported their designs with mathematical models of the heat
Paper ID #10843Methods and Approaches for Developing the Future Leaders of the ElectricPower and Energy IndustriesMr. Brandon M. Grainger, University of Pittsburgh Brandon M. Grainger was born in Pittsburgh, Pennsylvania. Currently, he is pursuing his Ph.D. concen- trating in power electronics, microgrids, and medium voltage DC systems at the University of Pittsburgh. Mr. Grainger has a master’s degree in electrical engineering from the University of Pittsburgh with a concentration in electric power engineering and in 2007 graduated Magna Cum Laude with a bachelor’s degree in mechanical engineering from Pitt. From August
Document 2002-31 MICROSOFT VISUAL C++ 6.0 IDE TUTORIAL Creating Win32 Console-Mode Applications Jeffrey S. Franzone, Assistant Professor Engineering Technology Department University of MemphisAbstractMicrosoft Visual C++ is a commonly used programming language and application environmentin many computer science and computer engineering technology programs. Visual C++ can beused to teach both C and C++ and it boasts a highly powerful, but easy to use, developmentenvironment. One of the strengths of the Visual C++ product is
allow students to understand the theoretical models pertaining to the experiments and 1appreciate how theory and practice come together, and which further validates results fromsoftware models. For each design experiment, the guidelines are formulated with the ABETOutcomes in mind. This course focuses on three outcomes as defined by ABET Criterion 3 forthe BSME programs; they are as follows:Outcome 1: An ability to identify, formulate, and solve complex engineering problems byapplying principles of engineering, science, and mathematics.Outcome 5: An ability to function effectively on a team whose members together provideleadership, create a
Increased personal development of belonging, and sense of skills, growth mind set, and the identity in STEM fields promotion of a STEM identity. Improve STEM instruction Lack of teacher training in Increased access to professional through teacher professional engineering, science and development resources for teachers development and access to technology of minority males in underserved STEM resources. communities.Research on mentoring has been found to have positive behavioral and academic outcomes [25].Some research has pointed to the importance of role