InternalStudy Quality Assurance System. International Journal for Cross-Disciplinary Subjects inEducation (IJCDSE), Special Issue Volume 5 Issue 4, 2015.[5] M. Mahajan, and M. K. Sarjit Singh, Importance and Benefits of Learning Outcomes. IOSRJournal Of Humanities And Social Science (IOSR-JHSS). Volume 22, Issue 3. March. 2017.[6] S. Brooks, K. Dobbins, J. J.A. Scott, M. Rawlinson, and R. I. Norman, Learning aboutlearning outcomes: the student perspective. Teaching in Higher Education, Critical Perspectives.Volume 19, Issue 6. 2014. DOI: 10.1080/13562517.2014.901964[7] W. Hussain, W. G. Spady, S. Z. Khan, B. A. Khawaja, T. Naqash, and L. Conner, ImpactEvaluations of Engineering Programs Using ABET Student Outcomes. IEEE Access.Volume 9.2021. DOI
subject. This training overheadhas an exaggerated effect in a short term experiment. The second experiment was modified to remove this effect. It was similar to the first exceptthe students in both groups were given 30 minutes of training prior to the class portion of theexperiment. Those in the experimental group received training on program usage. The controlgroup was allowed to do homework assigned from class but not related to the experiment topic,which again was DC superposition. Table 2: Experiment 2 quiz average scores, percent correct. Group Qualitative Quantitative Control (non-Viz) 42.5 20 Experiment (Viz
Paper ID #41785Integrating Data-Driven and Career Development Theory-Driven Approachesto Study High School Student Persistence in STEM Career Aspirationstonghui xu, University of Massachusetts, Lowell PhD studentDr. Hsien-Yuan Hsu, University of Massachusetts, Lowell Dr. Hsien-Yuan Hsu is an Assistant Professor in Research and Evaluation in the College of Education at the University of Massachusetts Lowell. Dr. Hsu received his PhD in Educational Psychology from Texas A&M University and has a background of statistics ©American Society for Engineering Education, 2024 Integrating Features Selection
offered for Electrical Engineering, ElectricalEngineering Technology, and Computer Engineering students. It is the first cornerstone inlearning about circuits and digital logic systems. Figure 1 illustrates the digital logic hierarchy,and indicates the coverage of the logic circuit design lab.There are different ABET outcomes that relate to their lab experience. It teaches them to usecorrect lab equipment and tools, from digital meter and oscilloscope to digital logic analyzers. Ithelps them to develop their problem-solving skills, as they are required to design logic circuitswith given specifications and then verify their functions. They learn about test vectors andtroubleshooting to detect any errors or misconnections that caused unexpected
Americans in computing, research the Design Process information on each using your favorite web search engine and create a collage presentation. Intro to Create a robot program that will help students communicate their Programming and feelings through movements. Robotics Design Thinking Use technology to solve a problem in your community. Canvanizer Create a business model canvas for technology to address a problem in your community using the Canvanizer online tool. Game Create a game on App inventor. Programming Computational Walk peers through a white boarded solution to a given problem. Thinking, Problem Solving, and Python Web Design
Valley Educational Alliance includes Indiana State University, IVY TECH State College—Terre Page 2.327.1Haute, Purdue University Cooperative Extension Service—Vigo County, Rose-Hulman Institute of Technology,Saint Mary-of-the-Woods College, Vigo County Public Schools, and Vincennes University.reform in engineering, technology, mathematics, and science education. A proposal written tothe Advanced Technological Education program of NSF was subsequently funded for threeyears, starting in September of 1995. This paper describes the basic tenants of problem-based education and the educationaltheory behind it. Next, it provides some ideas
Paper ID #20978Enhancing Students’ Hands-On Skills of Wireless Technology Using NetworkSimulatorsDr. Te-Shun Chou, East Carolina University Dr. Te-Shun Chou is an Associate Professor in the Department of Technology Systems at ECU. He received his Bachelor degree in Electronics Engineering at Feng Chia University and both Master’s de- gree and Doctoral degree in Electrical Engineering at Florida International University. He serves as the program coordinator of the Master program in Network Technology for the Department of Technology Systems and the lead faculty of Digital Communication Systems concentration for the
Society, 26(4), pp. 417- 437, 1994.3. Glatthorn, A. A., Outcome Based Education: Reform and the Curriculum Process. Journal of Curriculum and Supervision 8, pp. 334-363, 1993.4. Lotfi A. Zadeh : “Outline of a new Approach to the analysis of complex systems and decision processes”, IEEE Trans. on Systems, Man and Cybernetics, Vol. 3, No. 1, pp. 28-44, 1973.5. A. Lansari, A. Al-Rawi, and F. Bouslama, “Using learning outcomes and e-portfolios to assess student learning in information systems”, Proc. of the 2005 American Society for Engineering Education Annual Conference & Exposition-ASEE’05, Portland, Oregon, USA, June 19-23, 2005.6. Kirk, D. and Welborn, L., The impact of outcome-based education and the library media program
barrier for the introductionof the Kinect in many signal processing, image processing, and control courses, since the de-facto language in many engineering colleges has moved from C to the MATLAB / Simulinkenvironment. Furthermore, the need to resolve low-level programming details, such as fixedpoint arithmetic or overflow, distracts students from the higher-level pedagogical goals related tothe signal processing or control algorithm. An alternative approach is for students to performtheir system designs in the preferred MATLAB / Simulink environment, and then use Simulink’s‘Automatic Code Generation’ or ‘Rapid Prototyping’ capability to translate these designs intoreal-time executable code. The aim of this paper is to show how the Kinect device
A Massively Large Student Modeling Assignment (MLSMA) Dr. Jon M. Duff Information and Management Technology Arizona State University Abstract Most curricula in engineering and technology find a “capstone project” to be highly beneficial in preparing soon-to-be-graduated majors. One consideration that confounds a successful capstone project is matching a task of sufficient significance with realistic expectations of student success. Students may possess the requisite skills but a project that tests those skills may be difficult to identify. But more likely
, both from Purdue University. Her research program investigates how model-based cognition in Science, Technology, Engineering, and Mathematics (STEM) can be better supported by means of expert tools and disciplinary practices such as data science computation, modeling, and simulation. In 2015 Dr. Magana received the National Science Foundation’s Faculty Early Career Development (CAREER) Award to investigate modeling and simulation practices in undergraduate engineering education. In 2016 she was conferred the status of Purdue Faculty Scholar for being on an accelerated path toward academic distinction. © American Society for Engineering Education, 2022
in Chile. His interest in education led him to obtain a master’s degree in Higher Education Teaching from the University Andres Bello. He currently is a PhD candidate from the Doctorate in Education in the University Benito Juarez, Mexico. He teaches undergraduate courses for careers of Geology and Mining Engineering in several universities and is a professor of a Postgraduate program in Geomining. His research interests include the importance of soft skills in engineering students and the use of different methodologies in on-line teaching. He also is interest in training professors on topics related to on-line teaching.Dr. Mar´ıa Elena Truyol, Universidad Andres Bello Mar´ıa Elena Truyol, Ph.D., is full professor
AC 2012-3758: SMALL-SCALE SMART GRID CONSTRUCTION ANDANALYSISMr. Nick J. Surface, University of Kansas Nick Surface is a British student studying in Kansas for a master;s degree in mechanical engineering. In 2007, he received his bachelor’s degree at City University London, followed by six months interning at BMW in Munich, Germany. His specific area of interest is automotive technology. The focus of his thesis is developing energy infrastructure for the purpose of charging electric vehicles and reducing reliance on fossil fuels.Mr. Bryan Anthony Strecker, University of Kansas Bryan Anthony Strecker has a B.S. in mechanical engineering, University of Kansas, and will have a M.S. in mechanical engineering
gravity on a robotic arm at different data rates. The third experiment developedentails requiring students to program the positions of each of the motors for each sequencestage of robot movements. Students would draw up this movement to perform an instructor-determined task. The instructor would require the students to, for example, pick an objectfrom one location and place the object in another location.The RA-01 robotic arm made by Images SI Inc. is used for these experiments and LabVIEW isused to create the laboratory clients and experiment engines. A visual feedback from the labto the client is provided via a webcam.I. IntroductionThe field of robotics is largely unexplored by the underdeveloped and the developingcountries. Few
conflict resolution. Technical sessions involve proficiency in computer-aided design(CAD) for mechanical components, programming in Java, and utilizing various programminglibraries like OpenCV and Roadrunner. Non-technical sessions encompass tasks like creatingevent reports, maintaining an engineering notebook, engaging in business development, honingpublic speaking and presentation abilities, and developing socio-cognitive soft skills such asconfidence, teamwork, time management, and organization. Typically conducted before the FTCcompetition season, these learning sessions establish a robust foundation, preparing students forfocused and intensive work when the season kicks off in September each year.Connecting with Professionals for Learning
engineering programs. Students in TAM212 are typically freshmen and sophomore engineering students. Most of them have completedthe calculus sequence, but have not yet taken a course in differential equations.During fall and spring semesters, the course is divided between a traditional lecture, which is ledby a professor and meets three times per week for one hour at a time over the course of sixteenweeks, and smaller discussion sections, which are led by graduate students and meet once a weekfor one hour at a time. Typical enrollment is ~250 students for fall semesters and ~500 studentsfor spring semesters. During summer semesters, the course consists only of a traditional lecture,which is led by a graduate student and meets three times per week for
watching professors. I joined Project LEA/RN™.Project LEA/RN™ is a faculty development program at Iowa State University. Its purpose is to“enhance professors’ knowledge and skills related to teaching and learning to increase studentlearning2.” This is learning about learning. Faculty members participate from a variety ofcolleges within the university. Faculty members within the College of Education coordinate theactivities. The focus is on active learning within university courses. A faculty member beginsby attending an introductory workshop series, and can continue studying by joining a base groupof faculty members. The base group meets to discuss and explore topics prepared by the ProjectLEA/RN™ staff or the group members. Much of the material
Paper ID #37620A Comprehensive Study on The Effectiveness of ActiveLearning Techniques in Remote Learning ClassesAmr Hassan Dr. Amr Hassan (also know as Amr Mahmoud) received his B.Sc. degree in Electronics and Electrical Communications Engineering and the M.Sc degree in Engineering Physics from Cairo University, Egypt, in 2011 and 2015, respectively. He earned his PhD in Computer Engineering from the Electrical and Computer Engineering Department at the University of Pittsburgh, USA. Currently, he is an Assistant Professor with the same department, since August 2019. Dr. Hassan's primary focus is on education
physical properties of the cycloid curve.These classroom demonstrations, while they take time, do reinforce the idea of the value ofparametric equations and how they might relate to the engineering student’s studies and life as anengineer.B) Newton’s Law of CoolingIn this demonstration, which can be done in an integral calculus course or a first term differentialequations course, we simply demonstrate Newton’s Law of Cooling by using a flask, a stopper, athermometer, and hot water. All the equipment can be borrowed from a Chemistry Department.See picture below.We now have a student measure the room temperature and then have the student insert thethermometer into the hot water. At time intervals, time t = 0; and usually at five minutes
AC 2012-4755: UNDERGRADUATE SIGNAL PROCESSING LABORATO-RIES FOR THE ANDROID OPERATING SYSTEMMr. Suhas Ranganath, Arizona State UniversityJayaraman J. Thiagarajan, Arizona State UniversityKarthikeyan Natesan Ramamurthy, Arizona State UniversityMiss Shuang HuDr. Mahesh K. Banavar, Arizona State UniversityProf. Andreas S. Spanias, Arizona State University Andreas Spanias is professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the Founder and Director of the SenSIP Center and Industry Consor- tium (NSF I/UCRC). His research interests are in the areas of adaptive signal processing, speech process- ing, and audio sensing. He and his student team developed the
in several peer-reviewed conferences and journals and has been a program committee member at several conferences. ©American Society for Engineering Education, 2024 Active Learning in an Upper Division Computer Networks CourseAbstractComputer Networks is an important course in most undergraduate curricula in computingdisciplines. In most curricula, it is the only course on the topic. Students must get a conceptualunderstanding and retain the materials from this course. It has been demonstrated that activelearning can positively impact academic performance and success. This paper presents theauthor’s experience in designing and implementing active learning in an upper
." Page 4.415.106. SummaryThe PG project is an effort to make peer grading practical for engineering classes. Studentsmay submit arbitrary hierarchies of Web pages, which are reviewed blindly by other students.For many kinds of non-objective homework, e.g., design problems, it can provide betterfeedback to students than teaching assistants have time to produce. Not only does PG providean alternative way of grading homework, but in conjunction with a Web-based signup sheet, italso facilitates collaborative work. For example, it has been used to annotate all the lectures fora semester-long class with hyperlinks to related material from the Web. Student reaction to PGhas been very positive, as demonstrated by a post-semester survey. PG has proven
AC 2008-1069: STUDENT PERCEPTIONS OF ACADEMIC HONESTY IN ANELECTRONIC AGECarole Goodson, University of Houston Carole Goodson is a Professor of Technology at the University of Houston. As an active member of ASEE, she is a member of the Academy of Fellows, a past Editor of the Journal of Engineering Technology, a past Chair of PIC IV and the ERM Division, and a past Chair of the Gulf Southwest Section of ASEE.Barbara Stewart, University of Houston Barbara L. Stewart is Professor of Human Development and Consumer Sciences at the University of Houston where she coordinates the Consumer Science program. She earned a BA degree from Brigham Young University, a MS from Utah State University
Page 23.1244.4of these standards is the definition of Transducer electronic data sheets (TEDS) for eachtransducer. The TEDS is a memory device attached to the transducer, which stores transduceridentification, calibration, correction data, and manufacturer-related information. The goal of theIEEE 1451 family of standards is to allow the access of transducer data through a common set ofinterfaces whether the transducers are connected to systems or networks via a wired or wirelessmeans10.IEEE 1451.1 defines a common object model and programming paradigm for smart transducersystems. The mission of IEEE 1451.2 was to separate the network issues from the transducerissues. This was accomplished with four concepts: the Smart Transducer Interface
Paper ID #33988Benefits of Codesigning with Educators as Faculty DevelopmentKenya Z. Mejia, University of Washington Kenya Z. Mejia is a third year PhD student at the University of Washington in the Human Centered Design & Engineering program. Her work focuses on diversity and inclusion in engineering education focusing on engineering design education.Dr. Jennifer A. Turns, University of Washington Jennifer Turns is a Professor in the Department of Human Centered Design & Engineering at the Univer- sity of Washington. She is interested in all aspects of engineering education, including how to support engineering
element in program accreditations as well. Eachuniversity, each program, and each course administer this feedback collection processdifferently, using specific questions. This work presents a new student self-assessmentquestionnaire developed using the hierarchical Bloom’s taxonomy [6-7]. The purpose and theadvantages of this new questionnaire are discussed in the following paragraphs.This questionnaire was developed for an engineering electromagnetic course ELE 351:Electromagnetic Fields at the University of Southern Maine. Electromagnetics is mathematicallyintensive. When it comes to engineering students, although they have gone through calculuscourses in their first few years, approaching a problem from a different perspective might
applications for emergency and disaster response, as well as for end-user persuasion and behavior change. She also conducts research on broadening participation in computer science, focused on faculty development and undergraduate research engagement.Mohsen BeheshtiNayda Santiago Nayda G. Santiago is professor at the Electrical and Computer Engineering department, University of Puerto Rico, Mayaguez Campus (UPRM) where she teaches the Capstone Course in Computer Engineering. She received a Bachelor's Degree in Electrical Engineering from the University of Puerto Rico, Mayagüez Campus in 1989, a Master's degree in Electrical Engineering from Cornell University in 1990, and a Ph.D. in Electrical Engineering with a concentration
of Vickers and ParkerHannifin and a variety of industrial and mobile fluid power catalogs in the Fluid Power Lab. Aguest lecturer representing Kraft Fluid Power, a prominent mobile Fluid Power equipment supplyhouse, was invited to speak to the class. Figure 1. Hydraulic Circuit Diagrams are matched to form working system The tractor was on display in the Lab at all times and copies of the available service andmaintenance literature was given to each team. Manufacturers' performance data on the 12 HPBriggs and Stratton engine was made available. The Lab computers carry a program calledHydroworks which facilitates the design and drafting of hydraulic circuitry. Also, a 2-dimensionalCAD package called VISIO is available that permits the
Engineering Technology at the Rochester Institute of Technology. She is the Program Chair for Undeclared Engineering Technology. Dell received her B.S. in Mechanical Engineering from Kettering University and has an MS in Macromolecular Science & Engineering from the University of Michigan. She has worked in the automotive industry in the development of plastic products from fuel system components to interior trim. Page 15.231.1© American Society for Engineering Education, 2010 Biodegradability of Plastics Testing in an Undergraduate Materials LaboratoryAbstractAs a
Paper ID #42745Board 82: Work in Progress: Examination of Video Demonstrations as anAlternate Content-Delivery MethodMr. Kevin E Wandke, University of Illinois Urbana-Champaign Kevin Wandke received his B.S. degree in mechanical science and engineering and the M.S. degree in electrical engineering from the University of Illinois at Urbana–Champaign, in 2019 and 2022, respectively, where he is currently pursuing the Ph.D. degree in electrical and computer engineering. He was a member of the SULI Program at Argonne National Laboratory, and an Intern of the Edison Engineering Program, General Electric’s Global Research Center