,test, and refine their experiment in a laboratory environment. The students prepare both prelaband lab assignments which are distributed to the remainder of the class prior to the scheduled labsession. Since the lead-group has become very familiar with the laboratory exercise, they areassigned the responsibility of administering the labs (acting as mentors) as their classmatesperform the lab exercises.Not only are the laboratory exercises current and relevant to what is being covered in theclassroom, but they also provide an interesting open-ended laboratory design experience to thelead-group and an opportunity for these students to share their knowledge and experience withtheir peers. As active learners of technology, their communication and
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. Unlock the Mystery: Puzzle Box Marlon Jost1,3, Umme Hani Bootwala1,2, Don Heiman1 and Haridas Kumuraku1 1 Department of Physics, 2Department of Chemical Engineering, 3Khoury College of Computer Science Northeastern University Boston, MA 02115 USA Abstract—This project develops an interactive are needed to power the chip, while the other legs are set to be anpuzzle box with an electronic locking mechanism to engage input or output
Title: Discussing AI: Patterns of Classroom Collaboration2025 Conference of American Society for Engineering Education, Rocky Mountain SectionAuthor: Katherine NielsenAbstract:The benefits and risks of face recognition surveillance, autonomous weapons, and superintelligence call out for civic discourse that goes beyond internet polarization. The threecollaborative discussion formats I outline in this paper invite students to step into greaterresponsibility for their participation in these important topics. I situate these discussion formswithin the scholarship of teaching and learning, describe some of the key procedures andprinciples in their design, and share how I implemented them in classroom discussions aboutArtificial Intelligence
designed to increase and broaden participation in STEM fields.Carissa B. Schutzman Ph.D., University of Cincinnati Dr. Carissa Schutzman is Executive Director of the University of Cincinnati Evaluation Services Center. In 2020 she joined the Center where she leads evaluation and research projects and represents UCESC within the university and the community.Teresa Michelle Encalada, University of Cincinnati ©American Society for Engineering Education, 2025 Post-graduation outcomes of – and supervisor satisfaction with – graduates of a National Science Foundation Research Traineeship (NRT)1. IntroductionThe University of Kentucky (UK) NRT – which is in its sixth
Paper ID #37964Exploratory Study of the Perceptions of Biasness, Inclusivity,and Team Dynamics in Entrepreneurship Education TrainingJoe Bradley © American Society for Engineering Education, 2022 Powered by www.slayte.com Exploratory Study of the Perceptions of Biasness and Inclusivity in Entrepreneurship Education & TrainingAbstract Broadening participation in entrepreneurship is an important topic and criticalchallenge that continues to gain attention and intervention programs within the STEMentrepreneurial ecosystem. However, the challenges of people of color in STEMentrepreneurship are amplified in technology
AC 2009-1891: USE OF A SIMULATION SWITCH MATRIX FOR EFFICIENTDESIGN OF CMOS ANALOG INTEGRATED CIRCUITSRaymond Winton, Mississippi State University Page 14.1302.1© American Society for Engineering Education, 2009Use of a Simulation Switch Matrix for Efficient design of CMOS AnalogIntegrated CircuitsAbstractCMOS analog integrated circuit (IC) design is a technology-dependent process. Analog designfollows a process for which transistor sizing is necessary to achieve performance goals that aredefined by a series of simulation tests. Both the design and the pedagogical processes make useof one or more algorithms in which a set of subcircuits are separately tested and then
training is often anobstacle for makerspaces as most need to create “workshops, online tutorials, handouts, andoverall information” to account for the common “user inexperience” on such technologies(Moorefield-Lang, 2014). Training often takes time, planning, resources, dedication, andconsistency to ensure that it successfully educates students to safely use the equipment. In astudy looking at similar challenges present in K-12 and college engineering classrooms, it wasfound that teacher preparation, technology and resource management, and diversity are commonconcerns to be aware of in the future (Hira et al., 2014). Preparation can include making sure theinstructors who are teaching such hands-on curriculum and workshops are knowledgeable on
Paper ID #42697Envisioning and Realizing a Statewide Data Science EcosystemDr. Karl D. Schubert FIET, University of Arkansas Dr. Karl D. Schubert is a Professor of Practice and serves as the Associate Director for the Data Science Program at the University of Arkansas College of Engineering, the Sam M. Walton College of Business, and the Fulbright College of Arts & Sciences.Shantel Romer, University of ArkansasStephen R. Addison, IEEE Educational ActivitiesTina D MooreLaura J Berry, North Arkansas CollegeJennifer Marie Fowler, Arkansas State UniversityLee Shoultz, University of ArkansasChristine C Davis
in STEM Through Self-Advocacy Education1 Introduction Many minoritized graduate students in Science, Technology, Engineering and Math (STEM)experience climates of intimidation within institutions of higher education in the form of dailymicroaggressions and expectations of assimilation (defined as cultural conformation vs. socialintegration). In this project, we include Black/African American, Indigenous, and Latinx graduatestudents, as well as underrepresented women in STEM PhD programs as part of the historicallyminoritized graduate students that participated in the GRaduate Education for AcademicallyTalented Students (GREATS) professional development program. Although the effects of chronic external stressors on increased mental
. Gunawardena, C.N. and McIsaac, M.S., 2013. Distance education. In the Handbook of research on educational communications and technology (pp. 361-401). Routledge.2. Lubarda, M., Delson, N., Schurgers, C., Ghazinejad, M., Baghdadchi, S., Phan, A., Minnes, M., Relaford-Doyle, J., Klement, L., Sandoval, C. and Qi, H., 2021, October. Oral exams for large-enrollment engineering courses to promote academic integrity and student engagement during remote instruction. In 2021 IEEE Frontiers in Education Conference (FIE) (pp. 1-5). IEEE.3. Jamieson, M.V., 2020. Keeping a learning community and academic integrity intact after a mid-term shift to online learning in chemical engineering design during the COVID-19 pandemic. Journal
Paper ID #35056Comparison of frequency response analysis technique and transientresponse analysis technique in control systemsDr. Cyrus K Hagigat, The University of Toledo Dr. Hagigat is an associate professor in the Engineering Technology department of the College of Engi- neering of the University of Toledo. Dr. Hagigat has an extensive industrial background, and his teaching technique is based on practical aspects of engineering. American c Society for Engineering Education, 2021 Comparison of Frequency Response and Transient response Analysis
2006-12: A CLASS PROJECT FOR LOW-POWER CACHE MEMORYARCHITECTUREYul Chu, Mississippi State University Page 11.14.1© American Society for Engineering Education, 2006 A Class Project for Low-Power Cache Memory ArchitectureAbstract This paper presents a class project for a graduate-level computer architecture course. The goalof the project is to let students (two or three students per team) understand the concept ofcomputer hardware and how to design a simple low-power cache memory for future processors.The project consists of three different tasks: 1) Design - Designing a low-power cache memory(instruction or data) at the abstract level after literature research; 2) Code
been achieved.Parchutes come in different shapes and designs and represent various technologies thatare refined as new materials are produced and new techniques are invented. They areused in a wide variety of applications as well: military, personnel, cargo, and vehiclerecovery, hobby, and education.8The drag coefficient of a parachuteWeights and sizes of parachutes vary greatly from the small sizes used by hobbyists tothe large ones that are designed for the emergency braking of large military aircrafts. Inall cases, however, it is necessary to estimate the time and distance necessary for the draggenerated to slow the object to which the parachute is attached. The distance is necessarybecause engineers need to know whether or not, a fighter
Paper ID #19703Molecules and Cells: Team-based and Multi-modal Learning Improves Com-prehension and Increases Content RetentionEileen Haase PhD, Johns Hopkins University Dr. Haase is a senior lecturer at Johns Hopkins University in the Department of Biomedical Engineer- ing and chair of the Applied Biomedical Engineering program. She is currently the interim Director of Undergraduate Studies.Mr. BaDoi Nguyen Phan, Johns Hopkins UniversityDr. Harry R. Goldberg, Johns Hopkins School of Medicine c American Society for Engineering Education, 2017 Molecules and Cells: Team-based and multi-modal
scaffolding can be removed.References[1] Clark, Ruth C., Frank Nguyen, and John Sweller. Efficiency in learning: Evidence-basedguidelines to manage cognitive load. John Wiley & Sons, 2011.[2] Sweller, John, Paul Ayres, and Slava Kalyuga. Cognitive Load Theory. Explorations in thelearning sciences, instructional systems and performance technologies: Vol. 1., 2011.[3] Bedford, Anthony and Fowler, Wallace. Engineering Mechanics: Dynamics. PearsonPrentice Hall, 5th ed., 2008.[4] G. L. Gray, F. Constanzo, D. Evans, P. Cornwell, B. Self, and J. Lane, “The dynamicsconcept inventory assessment test: a progress report and some results,” 2005. ASEE AnnualConference and Exposition.[5] Beer, Ferdinand, Johnston, E.Russell, Mazurek, David
education: A survey of the research." InteractiveCollaborative Learning (ICL), 2015 International Conference on. IEEE, 2015.[4] Mealy, Bryan. “A single-course approach to computer design and assembly language programming”, ”,Proceedings of the 2016 American Society for Engineering Education (ASEE) Zone IV Conference[5] Nwokeji, Joshua C., and Terry S. Holmes. "The impact of learning styles on student performance in flippedpedagogy." 2017 IEEE Frontiers in Education Conference (FIE). IEEE, 2017.[6] Pratheesh, N., and T. Devi. "Assessment of student's learning style and engagement in traditional based softwareengineering education." Intelligent Interactive Systems and Assistive Technologies (IISAT), 2013 InternationalConference on. IEEE, 2013[7
Paper ID #15576Assessing the Effectiveness of a Nanotechnology Educational Module Usingthe ”Nanotechnology Awareness Instrument”M. J. Klopfstein, Oklahoma State UniversityMs. Lisa Cota, Oklahoma State UniversityProf. Don A. Lucca, Oklahoma State UniversityDr. Xiaoliang Jin, Oklahoma State University Xiaoliang Jin received his Ph.D. degree in Mechanical Engineering from the University of British Columbia, Canada, in 2012. Now he is an Assistant Professor at Oklahoma State University, USA. His research inter- ests include precision manufacturing processes, mechanics and dynamics of micro-machining, vibration assisted machining
Paper ID #13071A comparative Study of Motivation and Learning Strategies Between HighSchool and University StudentsDr. Quamrul H. Mazumder, University of Michigan, Flint Dr. Quamrul Mazumder is currently an associate professor of mechanical engineering at University of Michigan-Flint. His areas of research include computational fluid dynamics, multiphase flow, quality in higher education, metacognition, motivation, and engagement of students. He is a Fulbright scholar travelled around the world to promote quality and globalization of higher education.Dr. Ulan Dakeev, University of Michigan, Flint Dr. Ulan Dakeev is
, "description" is used as a label forequations and processes that are used to describe properties and behaviors exhibited by andwithin mechanical systems. As engineers, we see this regularly because we are exposed to newor emerging technologies and processes. The word "expansion" will be used to mean the additionof mathematical terms or processes to an already existing description. A useful example ofexpansion is the Bernoulli equation. At its heart, the Bernoulli equation is an energy equation.The original equation defined by Bernoulli is only slightly different from the equation we usetoday. (My undergraduate fluids professor referred to it as the Modified Bernoulli Equation. Hemade quite a to-do in class about the use of the word "Modified." To
AC 2007-910: A SIMPLE MULTITASKING LIBRARY FOR STUDENT PROJECTSAND INTRODUCING EMBEDDED OPERATING SYSTEMS PRINCIPLESJonathan Hill, University of Hartford Dr. Jonathan Hill is an assistant professor in the College of Engineering, Technology, and Architecture (CETA) at the University of Hartford, Connecticut (USA). Ph.D. and M.S. from Worcester Polytechnic Institute (WPI) and B.S. from Northeastern University. Previously an applications engineer with the Networks and Communications division of Digital Corporation. His interests involve embedded microprocessor based systems. Page 12.111.1© American
AC 2008-535: SEVEN STEPS TO SUCCESSFUL CONTINUOUS IMPROVEMENTOF A PROGRAMSwami Karunamoorthy, Saint Louis University Page 13.1076.1© American Society for Engineering Education, 2008 Seven Steps to Successful Continuous Improvement of a ProgramAbstractThe accrediting commissions of Applied Science, Computing, Engineering, andTechnology (ASCET) are moving towards a set of harmonized criteria with identicalnumbering and category names. This process leads to a framework for ABET inorganizing the categories of criteria across the commissions of ASCET. Individualcommissions define their criteria (or create their image) within that frame. Similarly, theeducational institutions in
An Apparatus for Monitoring the Health of Electrical Cables D. M. Pai1, Paul F. Tatum2 and M. J. Sundaresan1 1 Center for Advanced Materials and Smart Structures 2 Undergraduate Research Assistant, Intelligent Structures and Mechanisms Lab Dept of Mechanical Engineering North Carolina A&T State University Greensboro, NC 27411IntroductionAs with most elements of infrastructure, electrical wiring is innocuous; usually hidden away andunnoticed until it fails. Failure of infrastructure, however, sometimes leads to serious health
AC 2012-4422: USABILITY EVALUATION OF A PROBLEM SOLVINGENVIRONMENT FOR AUTOMATED SYSTEM INTEGRATION EDUCA-TION USING EYE-TRACKINGPunit Deotale, Texas A&M UniversityDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a 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 De- partment of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano man- ufacturing. He is also the Director of the Rockwell Automation Laboratory at Texas A&M
competitionGo public Students will publicize their work to get others excited about Math, Science, Engineering, and Technology. Page 25.1204.10The learning module is related to the summer research which was based on discovering thephysical properties and limitations of a 3D printed materials. Relevant factors that wereconsidered during the summer research that will be relevant in the learning module are: ◦ Developing an optimal design to attain the desired characteristics of a 3D printed structure ◦ The contraction force of the spring helix design ◦ The axial displacement of the fastener ◦ The force generated from
Session 2220 Design of a Cooperative Autonomous Mobile Robot System at the Undergraduate Level Bradley E. Bishop Weapons and Systems Engineering, United States Naval AcademyAbstractThis paper describes an undergraduate-level design project in a course on autonomous mobilerobot systems. The project is intended to allow a great deal of latitude in implementation and topromote teamwork and integrated design methodologies in a framework that is bothinstructional and interesting. The technical challenges of the project include limited bandwidthcommunications, cooperative multi-agent
, whereas the MARR technically is theabsolutely lowest IRR at which investment occurs. If there are not large changes in the values of the lastIRR's accepted, then the difference between AMRR and MARR is small and of little consequence in deci-sion making. For practical purposes, it suffices to say that discounting should be done at the IRR's of mar-ginal projects, a common interpretation of MARR. Bibliography1. Thuesen, G. J., "Decision Techniques for Capital Budgeting Problems," Ph.D. Dissertation, StanfordUniversity, University Microfilms, 1968. BiographyDr. John H. Ristroph is a Professor of Engineering and Technology Management and a
Beginner’s Guide to HTML (http:// www.ncsa.uiuc.edu / General / WWW /HTMLPrimerAll.html#GS).[7] Reviews of Videoconferencing Software, News.Com (http:// www.news.com / News / Item/0,4,1334,00.html).[8] Connectix QuickCam Website (http:// www.quickcam.com / connect / qcdata.html).[9] CNET Reviews on Software Website (http:// www.cnet.com / Content / Reviews /Compare/Video / ss04.html).HERB HESS received the BS degree in 1977 from the US Military Academy, the SM degree in1982 from the Massachusetts Institute of Technology, and the PhD degree in 1993 from theUniversity of Wisconsin-Madison. He is Assistant Professor of Electrical Engineering at theUniversity of Idaho. His interests are in power electronic converters and electric machine drives
Review of Higher Education, vol. 22, pp. 55-72, 1998.[5] A. B. Diekman, E. R. Brown, A. M. Johnston, and E. K. Clark, "Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers," Psychol. Sci., vol. 21, no. 8, pp. 1051-1057, 2010.[6] E. Clark, E. Brown, A. Johnston, and A. Diekman, "Seeking congruity between goals and roles: A new look at why women opt out of STEM careers," 2017.[7] E. S. Weisgram and R. S. Bigler, "Effects of learning about gender discrimination on adolescent girls' attitudes toward and interest in science," Psychol. Women Q., vol. 31, no. 3, pp. 262-269, 2007.[8] R. H. Wade, "Feeling Different: An examination of
Paper ID #41308Toward Better Understanding of the Fundamental Theorem of CalculusJuan David Yepes, Florida Atlantic UniversityDr. Daniel Raviv, Florida Atlantic University Dr. Raviv is a Professor of Computer & Electrical Engineering and Computer Science at Florida Atlantic University. In December 2009 he was named Assistant Provost for Innovation and Entrepreneurship. With more than 30 years of combined experience in th ©American Society for Engineering Education, 2024Work-in-Progress: Toward Better Understanding of the Fundamental Theorem of Calculus Daniel Raviv and Juan D. Yepes
Paper ID #43957A Powerful Labs Environment for Computer Science CoursesDr. Chi Yan Daniel Leung, zyBooks, A Wiley Brand Chi Yan (Daniel) Leung is the Content Software Engineer (Labs lead) at zyBooks. He oversees the content creation and maintenance of labs across different titles at zyBooks. Before joining zyBooks, he was a lecturer at the School of Engineering at the University of California at Merced. He received his Ph.D. in Computer Vision from the University of California at Merced.Joseph Mazzone, zyBooks, A Wiley BrandMs. Efthymia Kazakou, zyBooks, A Wiley Brand Efthymia Kazakou is Sr. Assessments manager at zyBooks