Page 13.431.10temperature ranges were written and tested. The values for the properties, specifically h, s, andv, were compared to the table values and were found to be within the relative error required bythe project. Therefore, the use of the polynomials at the lower temperatures was justified. Thereason for not using the Sonntag et al.4 equations alone will be explained when specific enthalpyis considered.In addition to specific heat, specific enthalpy, specific entropy, and specific internal energy arerequired to successfully duplicate the tables. From Cengel and Boles3 we know that specificenthalpy is the integral of specific heat or in the case of the temperature dependent: 決 潔
of the problems in engineering technology education is that the students do not correlateclosely engineering and science subjects and do not always transfer the knowledge they acquiredin physics and mathematics to their engineering-technology classes. This problem is addressedin our project by developing a close relationship among faculty teaching engineering-technologycourses and those teaching physics and mathematics. The goal of our approach is to providestudents with the ability to transfer readily the material studied in physics and mathematics to theengineering-technology courses. Simultaneously, an engineering-technology student studyingphysics and mathematics will have access to applications in the engineering-technology field.A two
program and experiencing a sense ofaccomplishment, which contributes to their science teaching efficacy.All BMERET projects were designed to demonstrate basic science knowledge,engineering principles and technology innovations for and with the teachers. TheBMERET teachers have been able to take what they learned and experienced in theirBME laboratory and make connections too specific grade-level standards in the life andphysical sciences. Emphasis was placed on the broader context of the BMERETparticipant’s project and its contribution to society. This ensured that the teacher’s newfound knowledge was translated into relevant classroom activities for their students.As an example, in addition to specific grade level standards, the investigative
University of Toledo, and Lecturer in Mechanical Engineering at the Bangladesh Institute of© American Society for Engineering Education, 2009 Technology, Khulna. He has published journal and conference papers. Dr Ali has done research projects with Delphi Automotive System, GE Medical Systems, Harley-Davidson Motor Company, International Truck and Engine Corporation (ITEC), National/Panasonic Electronics, and Rockwell Automation. His research interests include manufacturing systems modeling, simulation and optimization, intelligent scheduling and planning, artificial intelligence, predictive maintenance, e-manufacturing, and lean manufacturing. He is member of IIE, INFORMS, SME
solutions 6. Develop and test models 7. Make the decision 8. Communicate and specify 9. Implement and commercialize 10. Perform post-implementation review and assessmentThe design process is discussed by considering an example, such as the design of an automobile,a power tool, a child’s toy, or inline skates (the textbook example). In order to facilitate thediscussion, students are asked to identify the three most important steps and find reasons tosupport their choices.Laboratory Activity to Reinforce the Design ProcessAll laboratory assignments for this class are based on the LEGO® MINDSTORMS® NXTsystem12. Over the course of a semester, students work on a total of seven project assignments in
a Research Experience for Undergraduate Program. Thisresearch involves providing collaborative research and training opportunities for middle and highschool teachers in urban settings and undergraduate engineering and science students frominstitutions with underrepresented students and the assessment of learning from this collaborativeexperience. Four assessment metrics were used to judge the success of this collaborative project:(1) A STEM efficacy scale, (2) a collaborative research and leadership measure, (3) a rubric forlaboratory presentations and lessons and (4) a collaborative focus group interview. Findings fromthese metrics indicate that both the undergraduates and the K-12 educators became moreefficacious from the collaborative
resulting in new market pressures that require design cycle times for large electronic systems be reduced from years to months, with no impact on quality.4. Competitive pressures have also required that the cost of these systems be reduced by an order of magnitude. The application needs of industry and government are driving the development of new designmethodologies that can overcome the problems described above. To keep the industry competitive it isimperative that rapid transfer of this technology takes place.3. The RASSP Technology Program The Rapid Prototyping of Application Specific Signal Processors (RASSP) Program is a $150MDepartment of Defense (DoD) Advanced Research Projects Agency (ARPA) and Tri-Services initiative
, higher salaries, and a higher standard of living for localresidents, and will reduce family and economic disparities.In pursuit of this goal for West Virginia residents, West Virginia University's (WVU) CollegeEngineering and Mineral Resources, along with the Colleges of Human Resources andEducation, and Arts and Sciences, embarked on a multi-intervention plan to attract high schoolstudents to STEM careers, and put more STEM graduates into the STEM career pipeline, with afocus on women and underrepresented minorities. The primary vehicle for this project is a STEPgrant through the National Science Foundation (NSF) which supports exactly this kind ofinitiative.One important part of WVU's Engineers of Tomorrow (EoT) project is
AC 2009-390: TECHNOLOGY-ENHANCED INSTRUCTIONAL DESIGN INCONSTRUCTION: FRAMEWORK AND CASE STUDYThuy Nguyen, University of Texas, Austin THUY NGUYEN is a research assistant at the University of Texas at Austin. She is pursuing her PhD studies in the program of Construction Engineering and Project Management. Her research interests include project management, instructional design, human resource management and educational psychology.Fernando Mondragon, University of Texas, Austin FERNANDO MONDRAGON is a Ph.D. student in the program of Construction Engineering and Project Management in the Department of Civil Engineering at the University of Texas at Austin. He holds a M.S. in Civil Engineering
. Gordon Kingsley is an Associate Professor in the School of Public Policy at the Georgia Institute of Technology. Gordon is the project evaluator for the STEP NSF grant, and PI on the Alternative Approaches to Evaluating STEM Education Partnerships NSF grant. His area of research interests are the interactions of public-private partnerships to harness developments in science and technology, and the nature and assessment of educational partnerships.Marion Usselman, Georgia Institute of Technology Dr. Marion C. Usselman is a Senior Research Scientist at the Center for Education Integrating Science, Mathematics and Computing (CEISMC) at the Georgia Institute of Technology. Marion received her Ph.D. in
2006-987: PASSING THE FUNDAMENTALS OF ENGINEERING EXAMINATIONAS A GRADUATION REQUIREMENT IN A GENERAL ENGINEERINGPROGRAM: LESSONS LEARNEDRichard Helgeson, University of Tennessee-Martin Richard Helgeson is an Associate Professor and Chair of the Engineering Department at the University of Tennessee at Martin. Dr. Helgeson received B.S. degrees in both electrical and civil engineering, an M.S. in electral engineering, and a Ph.D. in structural engineering from the University of Buffalo. He actively involves his undergraduate students in mutli-disciplinary earthquake structural control research projects. He is very interested in engineering educational pedagogy, and has taught a wide range of
projected to increase at an annualrate of 6.4% between 2000 and 2010, with about 5 million jobs expected in 2010 in the fields of Page 11.28.2science, mathematics, engineering, and technology (SMET). Women, underrepresentedminorities, and persons with disabilities represented only about 20% of the workers in the SMETfields in 1997, although they constituted about 70% of the total work force (Commission on theAdvancement of Women and Minorities in Science, Engineering, and Technology Development[CAWMSET])2. Despite an increase of women in SMET programs to 20% of totalundergraduate enrollment, this number still falls short of the projected demand.One
of cultural dimensions in design and thebuilt environment.Course Format and Cross-cultural Comparison of ArchitectureCourse Format Instead of using traditional course format, which is facilitated with the lectures by theinstructor, an innovative approach has been explored. The innovative teaching methods for thiscourse are facilitated by interactive visual images through PowerPoint presentations. Classactivities include non-traditional class activities, such as dialogue discussion group, groupactivities, presentations and field trips. Student projects include cross-cultural comparisonnotebooks, papers and presentations.Cross-Cultural Comparison of Architecture Examples of Cross-Culture Comparisons of Architecture in this course
concepts. http://www.design-simulation.com/IP. AgentSheets: investigate biology concepts via games & simulations. http://www.agentsheets.com. Geometer’s Sketchpad (GSP): model geometrical concepts. http://www.dynamicgeometry.com. Stella: investigate chemistry concepts via modeling of rate of change. https://www.iseesystems.com Project Interactivate: online courseware for exploring STEM concepts. http://www.shodor.org. Excel: constructs hands-on modeling & simulations using rate of change (new = old + change). Scratch: a menu-driven language for creating games and simulations. http://scratch.mit.edu. Python: An object-oriented language with simple and easy to use syntax. http://www.python.org/.Assuming a positive relationship between
noticing a lack ofcontinuity and participation in our student organizations, since students are not physically here inthe department as in previous years. It is unclear still how these networks may be affected, and itmay take several more years to realize some of these unintended consequences of movingstudents away from specific disciplines in that first year.It is also important to ensure the FYE instructors understand the BAE discipline well enough sothat relevant examples and projects are incorporated into the FYE engineering courses. In orderfor this program to receive the college-wide support needed to be successful in its adoption, itwas imperative to assemble a core set of FYE instructors with the breadth necessary to representall
products and what is seenas safe or environmental friendly enough in the process of innovation. The recognition ofdiffering values and the expectations of customers become important aspects of productdevelopment and of engineering work in the early stages of a project. Regardless of whether a TTIP partnership is ever actually established, the research andanalysis that have been produced in connection with those negotiations are relevant forunderstanding the challenges of establishing technology assessment and risk managementsystems that function effectively across polities. One of the most interesting implications of thisliterature is that the most important differences between the EU and U.S systems lie inassumptions, priorities, and
accreditation process,3research on stakeholders within the engineering education system.42.1.2. Research on Policy of Quality AssuranceQuality Assurance in Engineering Education is a systematic project, which requires theengineering departments to develop active and effective policy to advance. In the UnitedStates, the vast majority of colleges and universities have formed quality assurance“pyramid” structure including university, college and department, developed mechanisms,systems and political initiatives of promoting the educational quality assurance at the level ofcollege and department. However, the policy-making space of quality assurance inengineering education at the level of college and department is not as big as the level ofuniversity
/absence of or to the extentof which that sub category was used ranging from zero to three. Repenning et al. measuredstudent’s learning of CT as patterns rather than concepts using Agent Sheets11. This led to anautomatic analysis tool using latent semantics to determine student growth in CT. Recently,the same group created a system entitled Real-Time Evaluation and Assessment ofComputational Thinking (REACT), a real-time assessment tool allowing teachers to getimmediate feedback on what students are struggling with or where they are succeeding2.Seiter developed the Progression of Early Computational Thinking model (PECT)20. ThePECT model combined evidence of programming concepts in Scratch projects with levels ofproficiency (basic, developing, and
Louisiana State University. For the past seven years, she has directed a study abroad program specifically designed for engineering stu- dents. She received her bachelor’s degree in engineering technology and master’s degree in industrial engineering.Adrienne Steele, Louisiana State University Adrienne Steele has over 18 years experience in STEM education. Currently, Adrienne works at Louisiana State University, managing all aspects of the STEP project that consists of a large-scale peer mentoring program in the College of Engineering. Previously, she founded and coordinated the Scope-On-A-Rope Outreach Program (SOAR) in the Department of Biological Sciences, where she worked for 10 years. Prior to her positions at
, conditional statements, and new instructions. Fi-nally, our software now includes scenarios which creates predefined situations aimed at teachingspecific robotics skills while also allowing students to create their own scenarios with an interac-tive menu system. A beta version of the software has been publicly released and we are excited tocollect feedback from those in the robotics education community. This project is supported by theNational Science Foundation and is a result of a multidisciplinary collaboration between MichiganTechnological University and Bay de Noc Community College.2 Background & IntroductionIncreased industrial automation has increased the demand for people who are familiar with usingand programming robotics systems
organizational context.From a situative perspective, however, such misalignments are not unexpected (Johri & Olds,2011; Paretti, 2008). The situative perspective posits that learning – or any activity - is intimatelytied to the context (Brown, Collins, & Duguid, 1989). The context both constrains and enablesdifferent kinds of learning. Importantly, context applies to not only the physical setting, but alsothe culture, time, people involved, goals, and related factors. For example, in a typical academiccontext, the goal is often acquiring knowledge to demonstrate proficiency for an evaluator (e.g.,on a test or homework assignment). In contrast, at work, the goal of any particular activity mightbe to advance a project, finalize a design decision
infrastructure projects, sustainability education, and increasing diversity in STEM fields.Dr. Denise Rutledge Simmons P.E., Virginia Tech Denise R. Simmons, Ph.D., PE, LEED-AP, is an assistant professor in the Myers-Lawson School of Construction and in the Civil & Environmental Engineering Department, and an affiliate faculty of the Department of Engineering Education at Virginia Polytechnic Institute and State University. She holds a B.S., M.S., and Ph.D. in civil engineering and a graduate certificate in engineering education – all from Clemson University. She is the 2016 recipient of Virginia Tech’s College of Engineering Dean’s Award for Outstanding New Assistant Professor and the Black Graduate Student
involvement for some time asan essential aspect of meaningful learning” [6]. On the heels of the critique of traditionalapproaches to teaching and learning came the movement towards student engagement and activelearning in engineering classrooms. Studies focused on approaches such as cooperative learning,problem and project based learning, learning communities and service learning sought to supportthe idea of increasing student engagement [5], [10]. In addition, engineering educatorsrecommended specific changes be made to the engineering curriculum to reflect the importanceof actively engaging students [11]. However, despite various studies on this issue “the engineeringcurriculum has been slow to respond” [12, p. 286]. Some scholars [13] attributed
learning.Dr. Lisa D. McNair, Virginia Tech Lisa D. McNair is a Professor of Engineering Education at Virginia Tech, where she also serves as Director of the Center for Research in SEAD Education at the Institute for Creativity, Arts, and Technology (ICAT). Her research interests include interdisciplinary collaboration, design education, communication studies, identity theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, liberatory maker spaces, and a RED grant to increase pathways in ECE for the professional formation of engineers. c American Society for Engineering Education, 2019 Testing a Reflective
Paper ID #24639Interactive Physical Experiments in an Advanced Undergraduate StructuralDynamics CourseCharles D. Facciolo, Daedalus Structural Engineering Charles Facciolo is a project engineer with Daedalus Structural Engineering where he is currently focused on high-end residential design. He received his bachelor’s degree in architectural engineering with a minor in construction management from California Polytechnic State University - San Luis Obispo. Charles is working to continually broaden his engineering knowledge in order to become a well rounded structural engineer who can provide unique solutions to challenging
development of systems thinking and innovative thinking skills in engineering students. Before returning to graduate school, Kirsten worked for several years as a project manager and analytics engineer in the transportation industry.Dr. Alejandro Salado, Virginia Tech Dr. Alejandro Salado is an assistant professor of systems science and systems engineering with the Grado Department of Industrial & Systems Engineering at Virginia Tech. His research focuses on unveiling the scientific foundations of systems engineering and using them to improve systems engineering practice. Before joining academia, Alejandro spent over ten years as a systems engineer in the space industry. He is a recipient of the NSF CAREER Award, the
Paper ID #27665Parental Influence on Children’s Computational Thinking in an Informal Set-ting (Fundamental Research)Mr. Carson Ohland, Purdue University, West Lafayette Undergraduate Student in Aeronautical & Astronautical Engineering at Purdue UniversityMs. Hoda Ehsan, Purdue University, West Lafayette Hoda is a Ph.D. student in the School of Engineering Education, Purdue. She received her B.S. in me- chanical engineering in Iran, and obtained her M.S. in Childhood Education and New York teaching certification from City College of New York (CUNY-CCNY). She is now a graduate research assistant on STEM+C project. Her
Graduate Advising Award in 2015, and won the 2018 Graduate Student Mentor Award for the College of Engineering. Dr. Matusovich has gradu- ated 10 doctoral students since starting her research program in Spring 2009. Dr. Matusovich co-hosts the Dissertation Institute, a one-week workshop each summer funded by NSF, to help underrepresented students develop the skills and writing habits to complete doctorate degrees in engineering. Across all of her research avenues, Dr. Matusovich has been a PI/Co-PI on 12 funded research projects including the NSF CAREER Award with her share of funding be ingnearly $2.3 million. She has co-authored 2 book chapters, 21 journal publications and more than 70 conference papers. She has won
Cycle Academy Award for the best paper on Sustainable Consumption (2017). He is also responsible for teaching introduc- tory, intermediate and advanced design related courses in the Department of Mechanical and Aerospace Engineering at University at Buffalo.Dr. 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 Engineer- ing 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 Revo- lutionizing
faculty and students to present their scholarship and creative work to the general public through popular media, usually providing production, technical, and teaching assistance for radio and podcasting projects. He has earned Bachelor of Science degrees in Economics (1998) and Science, Technology, Culture (2000) from Georgia Tech and a Master’s degree in Library and Information Science from Valdosta State University (2011), and co-hosts the ”research-library rock’n’roll radio show” called Lost in the Stacks on WREK Atlanta.Dr. Benjamin J. Laugelli, University of Virginia Dr. Laugelli is an Assistant Professor of Engineering and Society at the University of Virginia. He teaches courses that explore social and