Education, 2017 Use of Adaptive Questions and Electronic Pooling to Promote Mastery of Fundamental Thermal Science ConceptsAbstractPersonal student response systems have been used in large classes which allows instructors topropose questions during a lecture and gain feedback on student understanding of the material.Electronic pooling is helpful in measuring the understanding of the fundamental concepts inchallenging thermal science courses like thermodynamics, heat transfer and fluid mechanics.Focused true/false and multiple choice questions have been used. Because the feedback is fromall respondents and nearly instantaneous, it has been found that adaptive questions are a good wayto focus instruction in the areas of
AC 2007-2190: ANALYTICAL SYNTHESIS AND ANALYSIS OF MECHANISMSUSING MATLAB AND SIMULINKAli Mohammadzadeh, Grand Valley State University ALI R. MOHAMMADZADEH is currently assistant professor of engineering at Padnos School of Engineering at Grand Valley State University. He received his B.S. in Mechanical Engineering from Sharif University of Technology And his M.S. and Ph.D. both in Mechanical Engineering from the University of Michigan at Ann Arbor. His research area of interest is fluid-structure interaction. Page 12.242.1© American Society for Engineering Education, 2007 Analytical
. He received his Ph.D. in Mechanical Engineering from the University of Kentucky in 1998. He specializes in FEA in Metalforming and Composite Materials. His current work relates to automotive windshield wiper systems, composite materials, finite element analysis and CAE. He is a member of ASEE, ASME, and SAE. Page 12.531.1© American Society for Engineering Education, 2007 Development of a CAE Course Project Focusing on Data Management through a Windshield Wiper System DesignAbstractComputer Aided Engineering (CAE) has been a core course for Mechanical Engineering studentsat Kettering University
AC 2012-2998: EDGE DETECTORS IN ENGINEERING AND MEDICALAPPLICATIONSDr. John Schmeelk, Virginia Commonwealth University, Qatar Page 25.489.1 c American Society for Engineering Education, 2012 Edge Detectors in Engineering and Medical ApplicationsAbstract Image edge detection is an integral component of image processing to enhance theclarity of edges and the type of edges. The current paper compares two methods forfinding the edges of an image. One method developed by the author is to define specialmatrices and applying them to the image using approximations for gradients
Paper ID #33619STEM Learning & Resource Center (STELAR): Supporting EngineeringEducation within the NSF ITEST ProgramMs. Sarah M. MacGillivray, Education Development Center Sarah MacGillivray is an experienced project lead and technical assistance (TA) provider at Education Development Center (EDC), where she leads a body of work focused on addressing equity and access to high-quality education for all students. MacGillivray advances the goals of several National Science Foundation (NSF)-funded projects, including her work on the STEM Learning and Research Center (STE- LAR). The STELAR Center is the resource
AC 2008-1213: ENGINEER YOUR LIFE: TALKING TO HIGH SCHOOL GIRLSABOUT ENGINEERINGThea Sahr, WGBH Educational Foundation Focusing on science and engineering projects such as Design Squad, ZOOM, Building Big, and Pathways to Technology, Ms. Sahr has extensive experience conceptualizing national outreach initiatives and working with project teams to develop multimedia educational materials (e.g., activity guides, curricula for after-school providers, online training resources for professionals, web sites, etc.) Building relationships with national partners representing teachers, museums, engineers, scientists, and after-school providers, has resulted in tens of thousands of children exploring
(Arduino Sensor Kit). The step- Proceedings of the 2023 Conference for Industry and Education Collaboration Copyright ©2023, American Society for Engineering Education ETD 345by-step software was downloaded and its installation was shown to the educators that were ableto follow up on their own desktops’ computers (provided by UNT during theworkshop). Moreover, the online version of the software was also illustrated. As part of thehardware installation, the library of the sensor board was installed, and the communicationbetween the controller and the software was shown for both Windows and Mac users (see figure3
Sense of belonging Encourage independence and self-learning Online Software and tools usedFor the work in this paper, we chose to focus on increasing this real-world context, which fallsinto the intellectual component of student engagement as highlighted in Figure 2 and leveragingthe prior student topic knowledge from Figure 1. This decision came in part from our division’sexperience. As part of Granta Design, and now as a part of Ansys, we have aimed to supporteducators in materials education through both software and teaching resources [8]–[11]. Ourresources often follow inquiry-based learning, a form of
development program. She has been the President of the Technical Editor Board for the ASEE Computers in Education Journal since 2012. She is a member of ASEE, IEEE, NSBE, and Eta Kappa Nu. c American Society for Engineering Education, 2018 Design of a Modular Educational Robotics Platform for Multidisciplinary EducationAbstractMobile robotics is inherently a multidisciplinary field due to the interaction of hardware, software,and electronics to create a machine that can sense its environment and then autonomously navigatein the world to achieve some goal or task. Due to its interdisciplinary nature, courses on mobilerobotics draw students from various disciplines
areeducation-adjacent. Two companies with strong ties to engineering education will participate inthis study: a software company whose product is widely used and taught in engineering coursesacross US universities, and an educational technology company whose product supports studentlearning and faculty classroom management. Both companies have an interest in ensuring theirproducts support engineering learning and would like to conduct research around this area. Thefindings of this study will be based on in-depth interviews with industry professionals about theirmotivations for conducting engineering education research, research goals, research processes &infrastructure, and barriers they have encountered. Thematic analysis will be as part
number of courses, including Work-study. Both these modules form part of the collection of engineering software. WhereasWebCT is designed as learning management system, eM-Human and eM-Workplace havebeen developed for workplace design and engineering purposes and therefore an uniquelearning approach is required. Page 7.498.9 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright 2002, American Society for Engineering EducationThe eManufacturing suite differentiates between planning, execution and engineeringmodules to tie in with the generally accepted three
- Annual conference of American Society of Engineering Education (ASEE). His current research interests are engineering education, software engineering, and developing innovative entrepreneurs and intrapreneurs. c American Society for Engineering Education, 2016 Examining effect of Goal Clarity on Faculty PerformanceIntroductionFaculty members (teachers) remain the pivotal point for the success of any education system.Globally the systems are undergoing changes, compelling a ‘rethink’ on the roles of the faculty.The new media communication (NMC) report has used the word ‘rethink’ to mean, ‘the problemis understood but solutions are elusive’ 1. This indicates that there is a need for more research
Paper ID #17823NSU-LSMSA Makers Club: STEM Educational Modules and Quality Assur-anceEducationDr. Jafar F. Al-Sharab, Northwestern State University Dr. Jafar Farhan Al-Sharab has recently joint the faculty in the Engineering Technology Department at Northwestern State University as an assistant professor. Jafar F. Al-Sharab received BS In Industrial En- gineering from the University of Jordan, MS in Metallurgical Engineering from the Science University of Malaysia, and PhD in Materials Science and Engineering from Vanderbilt University/Nashville, TN. Prior joining NSU, Professor Al-Sharab was and Instructional and
. Education has been a part of the partnering phenomenon from its earliestbeginnings, with some of the most dramatic examples involving the donation ofequipment, software, and the favorable pricing of systems by Apple Computer, Inc.Business and education have been partners for a very long time. Educators rely onbusinesses for contributions to classroom technology, executives on loan, aides andinternships, endowments, and a host of other important inputs that raise the capabilitylevels of local schools, colleges, and universities well beyond what could be achievedindependently by those institutions. At the same time, educational institutions teach the
-instillation of engineering motivation circuits and interests -emphasis on cultivation of capability of basic mathematics and engineering - comprehensive integration analysis of basic mechanics - educate real application of Understanding -digital/analog circuit engineering techniques to the practical2 elements and parts theory and application of machines and products based on industrial needs. automation systems -application of computer software and computing
designed tofacilitate learning and improve performance of learners. A few examples of EdTech includeonline platforms [14], [15], computational tools [2], and devices that streamline instructionaldelivery [14], [16], [17] or increase engagement [14] - [17]. For instance, online platforms suchas cloud-based virtual labs have been used in STEM education to enable students to engage inremote experiments and interactive learning environments [14]. Computational tools encompassboth specialized simulation and design software, such as ASPEN for chemical engineering andSPICE for electrical engineering, as well as more general-purpose tools like MATLAB andCOMSOL, which are widely used for numerical computing and analysis. These tools bridge thegap between
c American Society for Engineering Education, 2014 Paper ID #8611completed Ph D in the area of Information Technology and Innovation Management from IIT Bombay.He is credited with one of the fastest Ph D even as compared to full time research scholars. He is M Techin control engineering from IIT Delhi with CGPA of 10/10. He is a graduate from college of engineeringPune in Electronics and Telecommunication. His current research interests are engineering education,software engineering and innovation management. Page 24.447.2
Paper ID #29428Reimagining Engineering Education: Does Industry 4.0 Need Education 4.0?Dr. Shuvra Das, University of Detroit Mercy Shuvra Das is a Profesor of Mechanical Engineering at University of Detroit Mercy. He received his Ph.D. in Engineering Mechanics from Iowa State University in 1991. His research interests include Mechatron- ics, Modeling and Simulation of Systems, FEA and other CAE applications in Multi-physics Problems and Engineering Education.Dr. Darrell K. Kleinke P.E., University of Detroit Mercy Dr. Kleinke has over 25 years of industry experience in the design and development of electro-mechanical
Session 2465 Computational Education within Mechanical Engineering Programs P. Smith, R. Pederson, and J. Vennes Mechanical Engineering Department New Mexico State UniversityAbstractThis paper describes the experience in the Mechanical Engineering Department at New MexicoState University in introducing a sophisticated solids modeling software package at the freshmanlevel to replace the traditional computer aided mechanical drawing course. The package is thenfurther utilized within the upper level undergraduate courses at increasing degrees of
Abington toexplore the use of portable MP3 players, podcasting and related technologies. The problem-based learning(PBL) approach allows for the introduction of computer engineering and IT concepts as well as exposure tosocial and ethical issues (e.g. copyright, digital rights management), all in the context of the podcastingtechnology theme. Students are exploring existing podcast content and are also creating podcasts in avariety of areas using low-cost software and hardware tools. The tools, experiences, and preliminaryoutcomes of this course development will be of value to educators who are interested in applying podcasttechnology to enhance learning in many areas of education.Keywords: MP3 player, podcasting, RSS, problem-based learning (PBL
maintenance, student safety, and ample flexibility that may provide peoplewith disability the comfort of experimenting online with real physical setups and without having to leavetheir homes. In order to build a RLE experiment, specific hardware and software setup is required (see Figure1). For example, a typical remote lab experiment might include the following basic components or buildingblocks: 1 Department of Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton Florida, 33431, alhalabi@fau.edu. 2 Professional Pedagogy & Educational Technology Leaderhsip, Lamar University, Texas, hamzamk@my.lamar.edu. 3 Department of Computer Science, Jackson State
maintenance, student safety, and ample flexibility that may provide peoplewith disability the comfort of experimenting online with real physical setups and without having to leavetheir homes. In order to build a RLE experiment, specific hardware and software setup is required (see Figure1). For example, a typical remote lab experiment might include the following basic components or buildingblocks: 1 Department of Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton Florida, 33431, alhalabi@fau.edu. 2 Professional Pedagogy & Educational Technology Leaderhsip, Lamar University, Texas, hamzamk@my.lamar.edu. 3 Department of Computer Science, Jackson State
maintenance, student safety, and ample flexibility that may provide peoplewith disability the comfort of experimenting online with real physical setups and without having to leavetheir homes. In order to build a RLE experiment, specific hardware and software setup is required (see Figure1). For example, a typical remote lab experiment might include the following basic components or buildingblocks: 1 Department of Computer Science and Engineering, Florida Atlantic University, 777 Glades Rd., Boca Raton Florida, 33431, alhalabi@fau.edu. 2 Professional Pedagogy & Educational Technology Leaderhsip, Lamar University, Texas, hamzamk@my.lamar.edu. 3 Department of Computer Science, Jackson State
Application of Technology in Engineering Education Shahnam Navaee Georgia Southern UniversityAbstractThis paper focuses on introducing the faculty to a collection of powerful software tools andtechnologies that can be used effectively in a teaching and learning environment. This presentationadditionally illustrates some of the techniques that can be employed in conjunction with using thesetools and technologies to further enhance the teaching effectiveness of the faculty and promotestudent learning. Sample tools utilized in this study include WebCT, Adobe Acrobat, MicrosoftEXCEL, Macromedia FLASH, MATLAB, LabVIEW, as well as, a series of other
Innovative Software for Integrating Materials and Manufacturing EducationClaes Fredriksson1,21 Ansys Inc., Materials Business Unit, Education Division, Cambridge (UK)2 University West, Department of Engineering Sciences, Trollhättan, SwedenAbstractThe Material Science Tetrahedron, which is sometimes used to define the scope of this subject,connects the concepts of material processing, microstructure, material properties andperformance of the material in applications. This model can be the foundation for discussingwith students the impact of manufacturing processes to materials, such as heat treatments andconsequences of welding or machining to the microstructure of metals as well as the effects oflaser melting or sintering
AC 2009-743: MERI: MULTIDISCIPLINARY EDUCATIONAL ROBOTICSINITIATIVECarlotta Berry, Rose-Hulman Institute of TechnologyMatthew Boutell, Rose-Hulman Institute of TechnologySteve Chenoweth, Rose-Hulman Institute of TechnologyDavid Fisher, Rose-Hulman Institute of Technology Page 14.877.1© American Society for Engineering Education, 2009 MERI: Multidisciplinary Educational Robotics InitiativeAbstractThis paper will describe the implementation of an innovative multidisciplinary roboticscertificate program at a small teaching institution in the Midwestern United States. TheMultidisciplinary Educational Robotics Initiative (MERI) is a product of a collaborative effortbetween
AC 2011-822: ENGINEERING AND INDUSTRIAL DESIGN EDUCATIONCOLLABORATIONJames M Leake, University of Illinois, Urbana-Champaign James M. Leake joined the Department of Industrial and Enterprise Systems (formerly General) Engi- neering in August 1999. His educational background includes an MS in Mechanical Engineering (1993) from the University of Washington, a BS in Ocean Engineering (1980) from Florida Atlantic University, and a BA in Art History (1974) from Indiana University. His current research interests include engineer- ing education, integration of CAD/CAE software in the engineering curriculum, spatial visualization, and reverse engineering. Professor Leake’s publications include two books, Engineering Design
A. Artificial Intelligence in Education (AIED)perspective of technology management. Drawing oninterdisciplinary insights from cybersecurity, policy, and Generative AI received widespread attention in recentmanagement, this study proposes an integrated framework that years, and educators have had to address its impact quickly.guide institutions for strategic AI adoption. The proposed Teachers and school administrators now face two criticalAIOEP is based on Open Educational Practices (OEP) and uses questions: Should generative AI be banned, and should schoolsFree and Open-Source Software (FOSS) as its educational adopt tools to detect its use by students? According tofoundation. With
tools or (2) focus on visual language-neutral programming applications, such as Simulink, Labview, VisSim, and others, whichgenerate less efficient software but do not require the time needed to gain an intimateknowledge of a language and its development environment. Page 6.710.5 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering EducationAt the University of Hartford the second approach has been successfully applied forseveral years and is enthusiastically endorsed. It is the author’s belief that embeddedsoftware development
California ©American Society for Engineering Education, 2024 Adapting CAD Education for Visual InclusivityAbstractA unique curriculum adaptation of a Computer-Aided Design (CAD) course was developed forvisually impaired students. This initiative was undertaken to ensure equitable access and fosteran inclusive learning environment. The curriculum was designed to familiarize students with thefunctionalities and limitations of CAD software and the foundational processes of design, and tofacilitate their interaction with other engineers using these tools.The teaching approach predominantly involves a series of 3D printed models accompanied bydetailed text documentation, illustrating the CAD creation process