mechanical vibrations and controls course byadding laboratory and modeling/simulation components into its curriculum [5-8]; renovate a MEsenior design class through implementing industry-sponsored group projects [9, 10]; revamp aprogramming course via teaching C# and MATLAB to ME students [11]; enhance an engineeringdesign course by designing a group project for this course [12]; and make the topics in athermodynamics course easy to understand by developing instructional courseware for that course[13, 14]. Moreover, Liu and Baker designed a new course assessment tool to effectively collectstudent feedback through a mixture of closed- and open-format questions, formative andsummative questions, and Likert scales [15, 16]. This paper illustrates how
Paper ID #39157Differences Between First- and Third-Year Students’ Attitudes TowardComputational Methods in Engineering (WIP)Nina PerryDr. Timothy Chambers, University of Michigan Dr. Chambers is a Lecturer in Materials Science & Engineering at the University of Michigan. He teaches advanced laboratory courses in MSE as well as introduction to engineering. ©American Society for Engineering Education, 2023AbstractThis Work-In-Progress study investigates differences in freshman and junior engineering students’valuation of and self-efficacy for computational work in engineering. We administered a survey to N
Education, pp. 223-231, July 2005.[2] A. M. Rad, T. H. Popa, V. -D. Mihon and B. Iancu, “Problem-based learning and project-based learning concepts and their applications to engineering education,” 2017 16th RoEduNetConference: Networking in Education and Research (RoEduNet), pp. 1-6, 2017.[3] L. McLauchlan and M. Mehrubeoglu, “A Laboratory Exercise - Unmanned Vehicle Controland Wireless Sensor Networks,” 2014 ASEE Annual Conference and Exposition, Indianapolis,IN, USA June 15-18, 2014.[4] J. Agrawal, O. Farook, Z. Anderson and D. Walker, “Internet of Things (IoT) Laboratory,”2019 ASEE Annual Conference and Exposition, Minneapolis, Tampa, FL, USA June 15-19,2019.[5] V. Chang and C. Martin, “An industrial IoT sensor system for high
Delaware where he expanded his knowledge on simulation of multiphase flows while acquiring skills in high-performance parallel computing and scientific computation. Before that, Dr. Ayala held a faculty position at Universidad de Oriente where he taught and developed courses for a number of subjects such as Fluid Mechanics, Heat Transfer, Thermodynamics, Multiphase Flows, Hydraulic Machinery, as well as different Laboratory courses. Additionally, Dr. Ayala has had the opportunity to work for a number of engineering consulting companies, which have given him an important perspective and exposure to the industry. He has been directly involved in at least 20 different engineering projects related to a wide range of
candidate over their six years probationaryperiod historically have applied somewhat different standards of achievement depending onwhich of the two broad categories of institutions the program resides in. The Tier I researchinstitution will usually look to see that an individual has been able to generate sufficient externalfunding to support part of their salary (sufficient to reduce their base teaching load), and tosupport the salaries of several PhD and Master’s students, along with perhaps acquiringequipment to outfit a research laboratory. The individual must also produce some minimumnumber of journal and conference papers in readily recognizable quality venues sufficient toproject an image of rising authority in their chosen field. Some
produced include a concept map. Students leave the course with a clear listof which topics they mastered and which they are still working on. This model still permits roomfor traditional laboratory and project components.IntroductionIn standard teaching, course topics are covered on a set schedule and exams occur at set schedules.If students have not learned the material for an earlier portion of the class, the course moves alonganyway and focuses on new more difficult material that builds on the previous material thatstudent still does not understand. This promotes a fixed mindset promoting the idea that if youdidn’t get a concept, you never will. At the end of the course, students may only have a partialunderstanding of the material and may be
engineering,familiarize them with different areas of engineering and build foundational skills needed to besuccessful in college. There is a lecture and laboratory component for the course that are not co-requisite of each other and can be taken in any order. This unit of study is in the lecture portionof the class. Between lecture and laboratory, there are about 19 sections offered to serve the 956first-year students in the college. The course is part of a larger university-wide effort to enrollstudents in first-year experience courses in their college.Motivation- CurricularThe unit of study met various external demands on the curriculum: the university, college, anddesires to standardize practice. The course this unit is completed during is under
students and graduate students (lab projectmodule): This module will develop students an ability of formulating standard operatingprocedure (SOP) and facilitating the SOP to new standard, if there is no standard dealing with aspecific AM project. A project in a laboratory class will be used to cover the topics on AMlightweight part design, manufacturing, and testing. Students will design lightweight part (suchas lattice or topology optimized structure), practice fabricating AM parts, and performmechanical testing of the AM lightweight parts, using the AM laboratory. Due to the geometricalcharacteristics, AM lightweight part requires specific test protocols to develop an appropriatedatabase of engineering design properties, including specimen
established in a nursery setting, sold for planting, andestablished in the ground, these PNs can become widely dispersed by a number of factors,including machinery, handheld planting equipment, the movement via shoes and clothing, themovement of soil, and many other mechanisms. Timely inspection and detection are critical tothe control of these PNs.PN diagnostics are difficult via visual inspection by host plant symptoms, andmolecular/laboratory diagnostics are typically time-consuming and costly. Visual inspection ofplant roots may destroy healthy plants and plant tissue. The need to develop new innovativeways and equipment to detect cyst nematodes is crucial. This paper presents an in-progressproject to develop an innovative portable minirhizotron
with the handling and correct application of tools, instruments, and laboratory equipment. • encourage group work and student integration. • develop competence in oral and written communication. • encourage the search for technological innovations in the development of engineering projects.Figure 1 - Objectives of an integrated project This work aims to present the details of the integrated and multidisciplinary project,applied from 2019 to 2022 in the Control and Automation Engineering course at the MauáInstitute of Technology. During this period, around 40 students per year were analyzed,always from the 4th year of the course, divided into approximately 10 teams per year
professor and was promoted in 2012 to associate professor. He has over 25 combined years of increasing responsibilities in industry and in academia, in-cluding at the Centre for Development of Telematics (C-DOT), a telecommunications technology arm of the Indian government, the Indian Institute of Science (IISc.), Bangalore, and Villanova University, PA. Nathan received his BS from the University of Mysore, a postgraduate diploma from the Indian Institute of Science, an MS from Louisiana State University, and a PhD from Drexel University. He worked in electronic packaging in C-DOT and then as a scientific assistant in the robotics laboratory at IISc. in Bangalore, India, and as a postdoc at the University of Pennsylvania in
during the I-CUREs session for students to gain a betterunderstanding of civil engineering in a comprehensive manner.During the lab tour, students were given a realistic view of theprofession and were able to develop a sense of professionalcognition. Through immersive observation and participation,such as listening to senior or graduate students introducing thefunction of each lab, what they are doing recently in these labs,including the show of drones flying and controlling, 3-Dprinting, the concrete canoe building, etc., students will knowhow the profession fits them and if they intend to learn it in thefuture. Likewise, high school students have the same opportunity tovisit laboratories, observe and participate in cutting-edgetechnology
Paper ID #40546Work in Progress: Impact of individualized personal development projectsin a Multidisciplinary Capstone course on project success and studentoutcomesProf. Sean Knecht, Penn State University Sean Knecht is an Associate Research Professor in the School of Engineering Design and Innovation (SEDI) at Penn State. He is the director of the Cross-disciplinary Laboratory for Integrated Plasma Sci- ence and Engineering (CLIPSE) which investigates physical-plasma for a wide variety of applications including medicine, sustainability, agriculture, and nuclear fusion. ©American Society for
virtual learning in 2020. After returning to on-campusactivities, these kits continued to be used to enable open-ended group projects, hands-onhomework assignments, and pre-laboratory exercises. We developed an affordable multi-courseelectronics kit by condensing three current hardware kits in the Circuit Analysis, Mechatronics,and Design Methodology courses. By removing redundant components and replacing expensiveparts with cheaper alternatives, we reduced the cost of the condensed kit by approximately 30%compared to purchasing the three course-specific kits. To support the kit usage, we created anonline repository with electronic safety, microcontroller tutorials, basic hardware and softwareinstruction, and coding examples. We developed a pre
Paper ID #36578Entrepreneurial Mindset (EM) in Undergraduate Vibration ClassDr. Chau M. Tran, Mechanical and Aerospace Engineering, North Carolina State University Chau Tran is an Associate Teaching Professor in the Mechanical and Aerospace Engineering department at NC State University. He is currently the course coordinator for capstone senior design and previously was the course coordinator for Vibration, the director for undergraduate advising and the director for undergraduate laboratory. He teaches senior design and Vibration annually. He received his Ph.D. in Mechanical Engineering from NC State University in 1998
Implementation: The foundation for this new design course was based on previousimplementations of electrospinning in senior design projects [13, 14], educational modules [15,16, 17], and research courses [18, 19, 20]. However, the novelty of this course was its goal ofcontrolling ambient conditions to improve manufacturing electrospun fibers. Specifically, studentsin teams of 4-5 were tasked to design an electrospinning system that could monitor temperature orhumidity and regulate the appropriate ambient parameter to stay within an ideal range.The course was designed to be a required 2-credit hour course that would be held once a weekduring a standard 3-hour laboratory period with ~20 students (5 teams). The course was led by oneprimary instructor and
Paper ID #39729Board 418: Understanding Context: Propagation and Effectiveness of theConcept Warehouse in Mechanical Engineering at Five Diverse Institutionsand Beyond – Results from Year 4Dr. Brian P. Self, California Polytechnic State University, San Luis 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. He has been at Cal Poly San Luis Obispo since 2006, where his research interests include aerospace
electrical engineering from the University of Wisconsin-Madison in 1992. Currently, he is a Distinguished Professor and Schweitzer Engineering Laboratories Endowed Chair in Power Engineering in the Department of Elec ©American Society for Engineering Education, 2023 Building and Testing an Economic Faraday Cage for Wireless, IoT Computing Education and Research Colton R. Hotchkiss, Ananth A. Jillepalli, Stu A. Steiner, Daniel Conte de Leon, Herbert Hess, Brian K. Johnson University of Idaho, Eastern Washington University [hotchkiss, ajillepalli, dcontedeleon, hhess, bjohnson]@uidaho.edu, ssteiner
utilize cobots in preparing future workforce-ready graduates.Engineering Technology faculty at Illinois State University redeveloped an existing IntegratedManufacturing Laboratory (IML) to include five industrial cobots to be used concurrently withfive six-axis articulated industrial robots in an undergraduate-level, applications-focused roboticssystems integration course. This paper describes the rationale for deploying industrial cobots intoa traditional industrial robotics systems integration course. It describes the lab redevelopmentprocess, provides initial assumptions and early observations, and discusses lessons learned todate. The next steps for research and practice are also outlined.BackgroundThe IML was initially established in 2007
Paper ID #37537An Upper-level Undergraduate Course in Renewable Energy with PowerElectronics and SimulinkDr. Harry O Aintablian, University of Washington Harry Aintablian is an Associate Teaching Professor of Electrical Engineering at The University of Wash- ington at Bothell. He received his Ph.D.in Electrical and Computer Engineering from Ohio University. His research interests include power electronics and renewable energy systems. He worked for several years in aerospace power electronics/power systems at Jet Propulsion Laboratory and at Boeing Space Systems. ©American Society for Engineering
successful and promising practices for inclusive STEMmentoring along several STEM pathways in various learning environments. The Center represents acollaboration between academic institutions, Department of Energy (DoE) national laboratories,professional societies, and regional industrial partners in researching and augmenting inclusive mentoringactivities for historically underrepresented minority students and students from other underservedpopulations.Five institutions serve as co-principal investigators in The Center: The University of Texas at Austin, TheUniversity of Texas at El Paso, The University of Texas at San Antonio, El Paso Community College,and Colorado State University. Within The Center, three working groups established a definition
• Waste Vegetable Oil • Algae • Sugarcane • Non-Woody Biomass: Grasses • Soybeans • Non-Woody Biomass: Municipal • Jatropha and other seed crops Solid WasteFor each example, we review regions suitable for cultivation, advantages, and disadvantages.The objective is that students learn about the benefits of biofuels and understand why, despitethese benefits, they have not been successful in replacing conventional fuels.We also include a laboratory activity on Greenhouse Gas Regulated Emissions and Energy Usein Transportation (GREET). This lab aims to train students to evaluate the energy and emissionimpacts of advanced and new transportation fuels and evaluate different vehicles and
, epistemologies, assessment, and modeling of student learning, student success, student team effectiveness, and global competencies He helped establish the scholarly foundation for engineering education as an academic discipline through lead authorship of the landmark 2006 JEE special reports ”The National Engineering Education Research Colloquies” and ”The Research Agenda for the New Dis- cipline of Engineering Education.” He has a passion for designing state-of-the-art learning spaces. While at Purdue University, Imbrie co-led the creation of the First-Year Engineering Program’s Ideas to Inno- vation (i2i) Learning Laboratory, a design-oriented facility that engages students in team-based, socially relevant projects. While
learning new skills with a semester-long independentdesign project. Every week, students attend a lecture dedicated to teaching and exemplifying theskills necessary for the week. Following the lecture, students have a weekly 4-hour, TA-ledlaboratory section that is split into a pre-lab consisting of tutorials for building the skills necessaryto complete the laboratory assignments and actual work on the lab within the context of theirdesign project. A schedule of the weekly topics covered can be found in Appendix A and arrangedsuch that students simultaneously develop their skills in CAE and apply those new skills to thedesign of their project.The design project chosen is a fidget toy colloquially known as a fidget spinner. This was chosenfor the
Paper ID #37609Design and Study of a Packed Absorption Column for CO2 ScrubbingDr. Maddalena Fanelli, Michigan State University Dr. Maddalena Fanelli is a Teaching Specialist in the Department of Chemical Engineering and Materials Science at Michigan State University. Dr. Fanelli teaches and coordinates a number of undergraduate courses and laboratories, helping students learn chemical engineering fundamentals and gain hands-on experience.Alexis ChuongMr. Robert Selden, Michigan State University Mr. Robert Selden is a Research and Instructional Equipment Technologist in the Department of Chemical Engineering & Material
a previous robotics course, and the earliercourse module on image processing. MATLAB also presents a more shallow learning curve, isinteractive, and supports prototyping and visualization. MATLAB fully supports CV and DLwith the Computer Vision Toolbox and Deep Learning Toolbox. Another constraint was therequired use of low-cost hardware and limited laboratory resources. As mentioned, all thenetwork training was used with standard laptops with CPUs and minimal GPU support. Nospecialized GPU hardware was required.Student projects focused on computer vision applications in robotics and manufacturing such asvisual defect analysis involved identifying good/broken cookies on a conveyor belt, missing ormisaligned bottle caps on small bottles
, Mexico City Campus. She obtained a Ph.D. in Computer Science from the Tecnol´ogico de Mon- terrey. She is co-leader of the Advanced Artificial Intelligence research group. She is responsible for the Cyber-Learning & Data Sciences Lab. She belongs to the National Research System of Mexico (SNI level II), the IEEE Computer Society, the IEEE Education Society, the Mexican Society of Artificial Intel- ligence, and the Mexican Academy of Computing. She got 3 awards (2 Gold winners and 1 silver winner) for her participation in the Project ”Open Innovation Laboratory for Rapid Realization for Sensing, Smart, and Sustainable Products”. QS Stars Reimagine Education. She obtained seven first-place awards for Ed- ucational
Paper ID #37324Board 314: Implementing the Vertically Integrated Projects (VIP) Modelat a Public Urban Research University in the Southeastern United StatesDr. Chrysanthe Preza, The University of Memphis Chrysanthe Preza is the Kanuri Professor and Chair in the Department of Electrical and Computer Engi- neering at the University of Memphis, where she joined 2006. She received her D.Sc. degree in Electrical Engineering from Washington University in St. Louis in 1998. She leads the research in the Computa- tional Imaging Research Laboratory at the University of Memphis. Her research interests are imaging science, estimation
Chemical Engineering at L.D. College of Engineering for 5 years before pursuing a PhD in Chemical Engineering from Imperial College London. Umang has developed surface preferential ap- proaches for nucleation and crystallisation of biological and complex organic molecules. More recently, he has worked as a Research Associate investigating the role of surface properties on particle-particle in- teraction and developed approaches for decoupling contribution of different surface attributes on powder cohesion. In 2012, as recognition to his contributions to Undergraduate laboratory teaching, he was been nominated for the Graduate Teaching Assistant Awards for the Faculty of Engineering. Umang currently has a role in leading
milliseconds which is not attainable when using the cloud computing paradigm.Instead, edge computing, which occurs physically close to the sensors and actuators, isimplemented. Thus, it is important for engineering students to gain hands-on experience with edgecomputing devices capable of performing AI tasks.What follows are sections on Previous Work justifying experiential learning in general, then,Description of AI Development Kits, Comparative Analysis, and Summary and Conclusions.2. Previous Work This section provides a short review of education literature related to the developments ofan experientially-based educational continuum as well as the AI in edge computing. Over 80 yearsago, Dewey [1] recognized that practical laboratory