strong mathematical background, a basic understanding of industrialapplications, and effective problem-solving skills. At California State Polytechnic University,Pomona (Cal Poly Pomona), Vector Dynamics is a bottleneck course due to a high number offailures and repeats, hindering many students from advancing in their engineering curricula andresulting in a high attrition rate.Based on past teaching experience, students often have difficulty visualizing the abstractconcepts discussed in Vector Dynamics. Students also struggle with relating those abstractconcepts to familiar situations, leading to failure in understanding the underlying physicalprinciples taught in the subject. Compounding these issues is the ambitious syllabus for VectorDynamics
Improvement in Laboratory Skills and Knowledge Achieved Through Individual Student Lab Participation E. Carl Greco, Jim D. Reasoner Electrical Engineering Department – Arkansas Tech UniversityAbstractIn a fundamental electrical engineering laboratory course, the performance of students in a sololaboratory team organization was contrasted with the performance of students utilizing a multiplestudent lab team model. The students' performance on the laboratory final practicum examprovided an indicator of their individually acquired knowledge and skills. The student'sparticipation individually in lab resulted in marked improvement in the their ability to learnrudimentary
tothe above question is either “3-Often” or “4-Almost Always,” please provide an example task witha short answer. If you cannot quickly think of an example, please consider revising your response.”Those two questionnaires were distributed in a single package but the question numbers in thesecond questionnaire were pseudo-randomized. For the purposes of comparison and referencing inthe sections below, the second questionnaire items are provided along with the first questionnaireitems side by side in Appendix. 3.2. Analysis of Data from Surveys The surveys were completed by all 8 students in the project team including 5 graduate students(year 1 or 2 in the Master’s degree program) and 3 undergraduate engineering students. Amongthem, there
integrated circuit design, and digital application specific integrated circuit design. He was employed for eight months at the Microsoft Online Learning Initiative where he worked on lab development for courses related to microprocessor systems and interfacing and antenna design.William Bishop, University of Waterloo Dr. William Bishop obtained his PhD in Electrical and Computer Engineering from the University of Waterloo in Waterloo, Ontario, Canada. Bill is currently a full-time lecturer in the Department of Electrical and Computer Engineering at the University of Waterloo. His research interests include configurable computing, tools and strategies for e-learning, and image and video
STEMAbstractThe Hispanic Serving Institution Advanced Technological Education Hub 2 (HSI ATE Hub 2) isa three-year collaborative research project funded by the National Science Foundation (NSF) thatbuilds upon the successful outcomes of two mentoring and professional development (PD)programs in a pilot that translates foundational theory related to culturally responsive pedagogyinto practice using a 3-tier scaffolded faculty PD model. The goal of HSI ATE Hub 2 is toimprove outcomes for Latinx students in technician education programs through design,development, pilot, optimization, and dissemination of this model at 2-year Hispanic ServingInstitutions (HSIs).The tiered PD model has been tested by two faculty cohorts at Westchester Community College(WCC
, multiple-choice quiz at the beginning of every class. The objective of this study is to determinewhether these differences in their out of class learning strategies impact a student’s performance,engagement, and knowledge retention.These two approaches are assessed herein by comparing the student performances on the commonexams. Additionally, end-of-semester surveys were administered to evaluate how the students engagedwith the professor, their peers, and themselves within the context of the course and the instructionalmethods.Institutional and Curriculum InformationYork College of Pennsylvania (YCP) is a private institution that focuses on undergraduate education witha total enrollment of about 4200 students. The engineering program at YCP
Session: Instrumentation Design and Applications 2259Experimental Model-Based Control Design Using Multibody Codes Raffaello D’Andrea Mechanical and Aerospace Engineering 218 Upson Hall, Cornell University Ithaca, NY 14853 rd28@cornell.edu www.mae.cornell.edu/raff Abstract In this paper we discuss an on-going project at Cornell University aimed at introducing a significant
from agraduate-level computer design. The evaluation shows a significant improvement in retention ofthe concepts of networks-on-chip as well as student confidence in their understanding.The rest of the paper is organized as follows. A brief discussion of existing simulators ispresented in Section 2. Section 3 presents the details of ENoCS and discusses a brief evaluationfrom a graduate course in the fall semester of 2014. Section 5 discusses on-going and future workrelated to ENoCS. Section 6 concludes.2 Related WorkSimulators for computer engineering education and research range from simple pipelinecomponents to full-system emulation and simulation. However, most educational simulators areaimed at single processor concepts, and few expand
. Research Data Collection MethodologyThe research methodology followed in this work received Institutional Review Board (IRB)approval. Engineering and mathematics undergraduate and graduate students that were eitherenrolled or completed a numerical methods or analysis course in a particular semester at a largeMidwest university in United States participated the research. This study included 17 STEMstudents that are compensated for completing a questionnaire in 80 minutes and interviewed forabout 40 minutes to have a better understanding of their written questionnaire responses. Thequestions responded by the participants included concepts such as functions, limits, differentiation,function integration, power series, and programming preferences of
necessary. This is a tractable task as self-explanations typically containa small number of possible concepts. The language used to express these concepts can varygreatly, but our task is only to identify the existence of the concepts, not to performgeneral machine interpretation. In this paper, we present early work on the automaticunderstanding of students’ handwritten self-explanation of their solutions to homeworkproblems in an engineering statics course. We employ an open information extractiontechnique popularly used to identify relations present in broadcast news transcripts. In ourstudy, this technique achieved up to 97% accuracy at identifying when the content of astudent’s self-explanation did not match the concepts used by experts in
. Chien-tsung Lu Associate Professor, Purdue University Dr. Mark Sherman Associate Professor, Farmingdale State University ABSTRACTMost aviation accidents are human-error related. To change a worker’s behavior andtherefore improve safety culture, the International Civil Aviation Organization (ICAO)had started to promote Safety Management System (SMS) to his signatory nations since2003. In 2006, the U.S. Federal Aviation Administration (FAA) introduced SMS toaviation community in order to improve aviation safety including airports. The SMS is ascientific and comprehensive safety management model helping the airlines, airports
Session 2566 The Tinkerer’s Pendulum for Machine System’s Education: Creating a Basic Hands-On Environment with Mechanical “Breadboards” John J. Wood*, Kristin L. Wood** *Department of Mechanical Engineering, Colorado State University **Department of Mechanical Engineering, The University of Texas at AustinAbstractThe pendulum of engineering education is swinging from an emphasis of theoretical material to abalance between theory and hands-on activities. This transformation is motivated, in part, by thechanging students entering engineering programs. Instead of a
Paper ID #21246Conceptual Power Series Knowledge of STEM MajorsDr. Emre Tokgoz, Quinnipiac University Emre Tokgoz is currently the Director and an Assistant Professor of Industrial Engineering at Quinnipiac University. He completed a Ph.D. in Mathematics and another Ph.D. in Industrial and Systems Engineer- ing at the University of Oklahoma. His pedagogical research interest includes technology and calculus education of STEM majors. He worked on several IRB approved pedagogical studies to observe under- graduate and graduate mathematics and engineering students’ calculus and technology knowledge since 2011. His other
University of Seattle managing degree and certificate programs and teaching various CS courses. Her current research interests are related to teaching in STEM fields. She advises the cyber security club, and is a member of several organizations including OWASP-Portland Chapter. Dr. Dvorak is passionate about teaching, technology, career pathways and student success.Mr. John L. Whiteman, University of Portland John L. Whiteman is a security researcher for Intel Corporation and a part-time adjunct cybersecurity in- structor for the University of Portland. He also teaches the UC Berkeley Extension’s Cybersecurity Boot Camp. John received a Masters of Science in computer science from Georgia Institute of Technology, a
it integrated related courses and overall “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education”curriculum, and bridged academic areas for interdisciplinary efforts. The project’s purpose wasalso aimed at simulating those situations currently in the workforce that need visual, technical,and teamwork skills.The professor guided the process by giving the students the expectations of the final outcome.Animations of molecular structures, which were to be used as learning objects for an onlineorganic chemistry course, were created. How this goal was to be reached was the ultimateresponsibility of the students in
AC 2008-2283: A STRUCTURED APPROACH TO PROBLEM SOLVING INSTATICS AND DYNAMICS: ASSESSMENT AND EVOLUTIONFrancesco Costanzo, Pennsylvania State University FRANCESCO COSTANZO came to Penn State in 1995 and is an Associate Professor of Engineering Science and Mechanics. He earned a Ph.D. degree in Aerospace Engineering from the Texas A&M University in 1993. His research interests include the mechanics of nanostructures, the dynamic crack propagation in thermoelastic materials, and engineering education.Gary L. Gray, Pennsylvania State University GARY L. GRAY came to Penn State in 1994 and is an Associate Professor of Engineering Science and Mechanics. He earned a Ph.D. degree in
. Put simply, the problem of measuring efficiency arises whenIn this paper we examine the cost effectiveness of a particular a concrete measure, such as the inputs, needs to be related to asort of computer-based engineering tutorial developed at The fuzzy concept of output.University of Western Australia. This computer system setsthe student a sequence of engineering problems and requires The evaluation model presented in this paper has beennumerical answers as solutions. The software tries to provide developed in the context of a specific unit taught in thediagnostic help in the case of
resources to assist in the identification, development, and assessment of workplace skills in STEM classrooms, and investigating the connec- tions between information processing and symbolic representations used in organic chemistry. As part of her graduate work she examined the influences of instructor facilitation and course materials on student argumentation, and the propagation of STEM educational innovations. c American Society for Engineering Education, 2018 Enhancing Learning by Assessing More than Content KnowledgeAbstract: Skills such as communication, teamwork, critical thinking, and problem solving arefrequently cited as intended learning outcomes for STEM degree programs. While these
theTop Hat textbook in comparison to the traditional textbook. However, students felt more engagedwith the course and material when using the Top Hat textbook.IntroductionStatics and Mechanics of Materials I is a foundational class for many sophomore students whohave just entered an engineering program at the authors’ university. This course is taught to adiverse group of engineering disciplines, including but not limited to mechanical, biological,chemical, industrial, and electrical engineering students, as well as engineering science majors.The knowledge gained herein provides the foundation for many other topics covered later in theiracademic careers—the retention of this information is crucial to their future success. This coursealso sets
2006-1522: TWO-TANK LIQUID LEVEL CONTROL USING A BASIC STAMPMICROCONTROLLER AND A MATLAB-BASED DATA ACQUISITION ANDCONTROL TOOLBOXAnshuman Panda, Polytechnic University ANSHUMAN PANDA was born in New Delhi, India. He is currently pursuing a dual B.S/M.S. degree in Electrical Engineering and expects to graduate in December 2006. He is a member of Tau Beta Pi. He has worked as a teaching and research assistant with responsibilities in the area of mechatronics.Hong Wong, Polytechnic University HONG WONG was born in Hong Kong, China. In June of 2000 and 2002, he received the B.S. and M.S. degrees, respectively, in Mechanical Engineering from Polytechnic University, Brooklyn, NY. He is a member of Pi
process, apply MATLAB to analyze the data, and explain the observed flow featuresusing information from the textbook and lectures. Each of these learning outcomes can bemapped directly to ABET student outcomes. The PIV data acquisition process applies tooutcome (b) an ability to design and conduct experiments, as well as to analyze and interpretdata. Using MATLAB to analyze the data applies to outcome (k) an ability to use the techniques,skills, and modern engineering tools necessary for engineering practice. Finally, explaining thefeatures in the flow relates to outcome (a) an ability to apply knowledge of mathematics, scienceand engineering.Since this system has yet to be implemented in a course, there is no assessment data available.However
Engenius Solutions: Creating an Entrepreneurial Revolution at RHITAndrew Batta, Aaron Capizzi, Jonathon Fruchte, Ron Zuckerman, and Dan Moore1 Rose-Hulman Institute of TechnologyUndergraduate engineering is changing at Rose-Hulman Institute of Technology throughEngenius Solutions. Funded by a grant from the Lilly Foundation, Engenius Solutionsallocates financial and intellectual resources in an effort to help undergraduate engineersthink like entrepreneurs as well as engineers in their careers. Project ideas are solicitedfrom students, faculty, staff and the general public for evaluation by Engenius Solutions.Those ideas that meet the specific criteria establish by Engenius Solutions are
AC 2010-355: DESIGN AND IMPLEMENTATION OF A SOLAR BATTERYCHARGERLiping Guo, Northern Illinois University Liping Guo received the B. E. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1997, the M. S. and Ph. D. degrees in Electrical & Computer Engineering from Auburn University, AL, USA in 2001 and 2006 respectively. She is currently an Assistant Professor in the Electrical Engineering Technology Program in the Department of Technology at the Northern Illinois University. Her research interests are mainly in the area of power electronics, renewable energy, embedded systems and control. Dr. Guo is a member of the ASEE, IEEE and a member of
objectives of the ‘Communication systems’ tocovering both fundamental and advanced concepts related to undergraduate electrical engineering students are i)the transmission, reception, and processing of information Understand fundamental concepts and represent signals inacross various communication channels. The course time and frequency domains and be able to explain theencompasses theoretical foundations, mathematical models, principles of analog and digital communication systems. ii)and practical applications, necessitating activities that foster Understand and implement amplitude, frequency, and phasecompetency development in the field. modulation schemes and be able
equity and K-12 STEM outreach. She aspires to further her studies in educational research and evaluation or instructional design in graduate school to continue making a positive impact in these areas.Dr. Mary Lynn Realff, Georgia Institute of Technology Mary Lynn Realff is the Associate Chair for Undergraduate Programs in the School of Materials Science and Engineering at the Georgia Institute of Technology in Atlanta, Georgia and also Cox Faculty Fellow, Co-Director of the Center for Women, Science, and Technology, and a Fellow of the Center for Deliberate Innovation. Dr. Realff (GT BS Textile Engineering 1987) has served on the faculty at Georgia Tech since 1992 and is currently leading the Effective Team Dynamics
Page 11.973.2 Table 1. Evolution of Tablet PC Technology1, 2, 3Tablet PCs can combine the advantages of traditional presentation methods while mitigating thelimitations. Applications for the Tablet PC include the ability to enhance lectures and problemsolving, chunk and clarify information, illustrate relationships through use of colored inks, andcreate complex figures and diagrams. Tablet PCs can also easily support active learning,collective brainstorming, reading, commenting, marking-up (providing feedback), and grading ofstudent work.This paper reports on the experience of two engineering faculty members and how theirimplementation of Tablet PCs and related pedagogy impacted their engineering classrooms atPenn State.Literature ReviewThe
, which makes it difficult to considerthese solutions to the at home experimentation problem [2].Virtual and remote labs have been studied as solutions to the problem of lab experiences forstudents in massively open online classes (MOOCs) [4]. Fully digitized versions of experimentsin optics and electrical engineering have been used successfully to accommodate large number ofstudents either in MOOCs or simply in universities where the growth in student numbers hasoutstripped the physical space available in lab [3]. Remote instruction in electrical engineeringtopics and in sensor control with proprietary software can require extensive knowledge of webbased programming and can also run into compatibility issues with different operating systems[5
Sinchana Sulugodu Shashidhara Dept of EECS Syracuse University Syracuse, NY USA ssshashi@syr.eduAbstractThe disparity of women in STEM (Science, Technology, Engineering, and Mathematics) discipline have beena persistent problem in the United States of America. Research suggests that women who join STEMdiscipline leave very frequently to care for their families, financial setbacks, personal obligations, and callto active-duty program. Returning women, very rarely choose to pursue STEM education or cannot enterthe STEM workforce because - 1) these fields are constantly
Wisconsin, Milwaukee. Papadopoulos has diverse research and teaching interests in structural mechanics, biomechanics, appropri- ate technology, engineering ethics, and engineering education. He is PI of two NSF-sponsored research projects and is co-author of Lying by Approximation: The Truth about Finite Element Analysis. Pa- padopoulos is currently Chair of the ASEE Mechanics Division and serves on numerous committees at UPRM that relate to undergraduate and graduate education.Dr. Aidsa I. Santiago Roman, University of Puerto Rico, Mayaguez Campus Aidsa I. Santiago-Rom´an is an Associated Professor in the General Engineering Department at the Uni- versity of Puerto Rico, Mayaguez Campus (UPRM). Dr. Santiago earned a BA
Paper ID #32979Participation and Learning in Labs Before and During a PandemicMs. Madalyn Wilson-Fetrow, University of New MexicoDr. Vanessa Svihla, University of New Mexico Dr. Vanessa Svihla is a learning scientist and associate professor at the University of New Mexico in the Organization, Information and Learning Sciences program and in the Chemical and Biological En- gineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutionizing Engineering Departments project. She was