largerpopulation. The steps for the research method are depicted in Figure 1. Qual. Data Quant. Data Qual. & Qualitative Survey Collection Collection Quant. Claims Hypotheses (Phases 1&2) (Phases 1&2) Findings Figure 1: General research methods strategyFirst, two phases of qualitative research methods were employed. The first phase, a collection ofopen-ended questionnaire responses, assessed (a) the educational gains of EWB-USA membersand (b) descriptions
profit center profitability programs and was in- strumental in the breakthrough EDI/EFT payment system implemented by General Motors. Dr. Ferguson is a graduate of Notre Dame, Stanford and Purdue Universities and a member of Tau Beta Pi.Dr. Matthew W. Ohland, Purdue University and Central Queensland University Matthew W. Ohland is Professor of Engineering Education at Purdue University and a Professorial Re- search Fellow at Central Queensland University. He has degrees from Swarthmore College, Rensselaer Polytechnic Institute, and the University of Florida. His research on the longitudinal study of engineer- ing students, team assignment, peer evaluation, and active and collaborative teaching methods has been
. The images shown in this paper were acquired with a Zeiss EVO-50 scanningelectron microscope and an Asylum Research MFP-3D atomic force microscope.Bridges between the classroom and undergraduate researchBridge 1 – Students learn to read and comprehend technical papers from theprimary literature through a novel writing assignment – the NanoTracts paperThe process of reading and acquiring an in-depth understanding of peer-reviewed articlesfrom the scientific literature is an essential research skill that is out of the comfort zone ofmost undergraduate students. These skills are developed with time and practice, andproficiency ameliorates potential for success with research endeavors over their futurecareers. A term project has been incorporated
0.80 < r < 0.90 0.90 < r <0.95 Decisions about individuals-low stakesHigh Reliability r > 0.95 Decisions about individuals-high stakesThe Measurements Work Group will prepare an instrument review for each instrument containedin the ASSESS database. Their reviews will be written in an accessible manner and style thatprovides the developer information about deficiencies to be addressed before inclusion and offersthe user adequate general and technical information to determine instrument suitability for anintended application.Outreach ActivitiesIn October 2011, the project team presented a work-in-progress paper at the Frontiers inEducation Conference in Rapid City, South Dakota
forspecifying competencies and contexts that promote skill transfer. Instead, of talking aboutknowledge and topics, the team opted to talk about what fresh out engineers are doing on the job.To collect such data in a rigorous fashion, the team drew upon the critical incident method [30-32]. We facilitate focus groups comprised of 3 – 6 participants who are either. Engineering managers, engineering leads, HR personnel, and technical scientists who work with fresh out engineers. Fresh out engineers.During a typical session, participants: 1. Complete 2-page engineering practices survey. 2. Generate incident cards (as depicted in Figure 6) describing successful workplace performances and share them with the group. 3. Generate
hiring outside of a technical field. This sentiment was affirmed by representatives ofdisciplinary departments during exploratory interviews.Rising Engineering Education Faculty Experience ConsortiumTo address these needs, our team is implementing the Rising Engineering Education FacultyExperience (REEFE) Consortium, supported by and facilitating research, focused on theinteraction between engineering education graduate students and professional engineeringeducators at multiple schools. The goals of the REEFE Consortium are threefold: 1. to broaden the reach of engineering education theory and research-based instructional strategies into traditional engineering departments, thereby narrowing the gap in the research to practice cycle
AC 2012-3235: LIVE ENERGY: AN INITIATIVE FOR TEACHING EN-ERGY AND SUSTAINABILITY TOPICS WITH THE MOST UP-TO-DATEAND RELEVANT CONTENT.Dr. Christine Ehlig-Economides, Texas A&M UniversityDr. Sukesh K. Aghara, Prairie View A&M University Sukesh Aghara is a tenured Associate Professor at Prairie View A&M University (PV) in the Department of Chemical Engineering (nuclear), a member of the Texas A&M University System. He is the PI/Director of the $1 million per year, five-year, NSF CREST Center for Energy and Environmental Sustainability. His expertise includes radiation shielding analysis and experimental design, applications of nuclear analytical techniques, and nuclear energy and security.Dr. Sarma V
Department of Computer Science at the University of Saskatchewan in 2012. She previously received an M.Sc. from the same university, and a B.Sc. from Department of Computer Science, Nanjing University. Dr. Zhao’s research interests lie in the general areas of parallel and distributed systems, big data computing, cloud computing, and machine learning. Dr. Zhao is a member of IEEE, ACM, ASEE, and IEEE Women in Engineering, and has been actively contributing to the professional community. She served as the general chair for the 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2022) and the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT2022). She also
established with these companies’ outreach and community relations teams, and theyprovide an overview presentation followed by 3-4 hours long tour. A group photo taken lastsummer by the Lockheed-Martin photographer is shown in Fig. 1. Figure 1 – SURE 2012 participants at the Lockheed-Martin plant located at Marietta, GAThe social and collegial development of the SURE participants is encouraged and facilitated bygroup cultural outings such as trips to museums, plays, athletic events, the Georgia Aquarium,Six Flags or concerts taking place in the Atlanta area.Student Recruitment and SelectionThe SURE program is advertised electronically via its own Internet home page(http://www.sure.gatech.edu). General program information, as well as an on-line
(Industrial Innovation and Partnerships). In 2006 and 2007, he won the Most Cited Journal Paper award from Computer-Aided Design and the Research Excellence award in the College of Engineering at Purdue University. In 2009, he won the Outstanding Commercialization award from Purdue University and the ASME Best Paper Award from technical committees twice at the IDETC. In 2012 his labs paper won the all conference best paper award from ASME-CIE for ”Handy Potter”. Page 24.683.1 c American Society for Engineering Education, 2014 IDEA-Pen: Interactive Design and Analysis through a Pen-based
one for high-school students (iv) to access nanotechnology:(i) To develop a new 15-week course (NANO488) course that will introduce UG students to basic concepts of nano-technology through a series of lectures and hands-on sessions; students will be able to take this course as an independent elective or as part of the minor in nanotechnology recently approved at the New Jersey Institute of Technology. The new course NANO 488 has also been approved as a technical elective for all engineering and Page 24.942.2 science majors.Figure 1. Goals of this project as they relate to the different student groups involved with them.Color
Science Foundation Research Experience for Teachers (RET) program.As the first RET site in Arkansas, AR-DATA aims to provide at least thirty 9th-12th grademathematics, computer science, and pre-engineering teachers with transformative researchexperiences thematically centered on data analytics. The program seeks to introduce teachers tovarious engineering applications implementing data analytics and let them gain a betterunderstanding of the next-generation workforce needs in data analytics [1]. The program iscurrently in its second year, and we have been working with ten teachers each year during 2020-2021 and 2021-2022 program cycles. In this paper, we present the program findings, fromrecruitment to product dissemination in the following
., Rochester Institute of Technology ©American Society for Engineering Education, 2023 Impact of Student/Team Characteristics on Design Team OutcomesAbstractThe ability to effectively work in teams is one of the desired outcomes of engineering andengineering technology programs. Unfortunately, working in teams is still challenging for manystudents. Social loafing, a tendency to work less when part of a team than when workingindividually, tends to destroy both teamwork performance and individual learning, especially insolving ill-structured problems, such as design. Furthermore, a bad experience on a past team is asignificant concern as it could generate negative feelings about future team projects. Theformation
admission but also have their general education course requirements fully completed/waived prior to transfer. Thus, transfer students are left only with an overload of technical and upper level major coursework in their first semester after transfer. In combination, some of these courses are found to be toxic influencers to first semester GPA.Advancing a key deliverable from this NSF grant, our project serves as an example for how toestablish stronger networks between a university and feeder community colleges. Further, weprovide a guide for four-year institutions and community colleges educators to develop newinterventions which enhance transfer pathways as well as identify pitfalls or gaps in services andtransfer structures that
facilitating theconversation using a general protocol to keep the conversation going. A second member of the Centertook notes, while the third monitored the chat and other Zoom functions. These roles rotated for eachsession. Each session was 90 minutes.Table 1. Initial May Workshops: Debriefing Spring 2020 Experiences Series Date Workshop Title FR FA Successes and Lessons Learned in remote teaching 5.18.20 22 21 Design Classes! Look What Our Successes and Lessons Learned in remote teaching College
includes big data, AI, and computer education.Dr. Albertha Hilton Lawson, Southern University and A&M College Albertha H. Lawson currently serves as Professor and Interim Dean of the Graduate School at Southern University and A&M College (SU). Previously, she served as the Professor and Chair of the Science and Mathematics Education Doctoral (SMED) Program at the University. Dr. Lawson has over 30 years of professional experience at the Louisiana State University System, Louisiana Community and Technical College System, SU and Corporate America combined in the areas of actuarial science, higher education administration, teaching, institutional research, mathematical and statistical analysis. She has a
computational fluid dynamics problem at thisstage. Instead, they are offered only one variable to manage – the input flow speed, controlledusing a slider (Figure 2), allowing them to explore the impact of Reynolds number. Figure 1: Velocity flow field displayed in Ansys Figure 2: Jupyter Lab interface with simple button/slider Fluent (above) and Jupyter Lab (below) controls to set values in Fluent and run the simulationWith a 2D steady-state simulation of a small problem, Ansys Fluent generates results within aminute or two on a standard laptop, reasonable for a lab session. The exercise then leads studentsthrough discussion of the outputs, as well some introductory explanation of what a computationalfluid dynamics simulation
6 5 4 3 2 1 0 50-60k 40-50k 30-40k 20-30k 10-20k 0-10kFigure 2. Histogram showing the number of Circuits VCP participants as a function of schoolsize.2.1 Open Atrium PortalThe primary resource used for sharing information and ideas within the group and for access tomeeting recordings and notes was an online collaboration and task management site using OpenAtrium. Included were a blog for sharing ideas, a notebook for posting meeting recordings,folders for access to the materials used in each session, a meeting calendar and a directory ofparticipants. The most used portal component was the folders. The general structure of the portalwas developed
reconsider programmetrics and actions in engineering education with the goal of creating more flexible pathwaysthrough engineering degree programs. This paper presents one aspect of this work,understanding student capabilities. Throughout the rest of the document will be use the word‘opportunities’ instead of ‘capabilities’ (the more formal term) since it frames the issues in a waythat is more approachable and understandable for engineering educators. Other authors haveextended Sen’s framework to education by creating lists of opportunities [3]-[6]. This workbuilds upon this based by: 1) devising general sets of universal opportunities students shouldhave in order to attain achievements in an electrical and computer engineering degree program,and 2
cardiovascular system adapted from Anderson’s medical teaching model. [ ] The objectivesof this module are (1) to explore pressure drops and frictional losses in pipes, (2) to investigate the inter-conversion of kinetic energy and pressure, described by the Bernoulli Equation, using a stenosis (constric-tion) and an aneurysm (bulge) as examples (3) to determine the significance of hydrostatic pressure ef-fects (4) to generate pump curves for flow vs. pressure, (5) to determine the work of the heart, and (6) tosimulate the cardiovascular system using HYSYS process simulator. At the freshman level, students will investigate the flow characteristics of different pumps and designa cost-effective pulsatile flow system. They will perform a mechanical energy
corresponding matrix equationas well as numerical answers, and the addition of pedagogical features to explain the origin ofvarious terms in node and mesh equations. We further describe three tutorials that coveridentification of series and parallel circuit elements, and writing of node and mesh equations.Finally, we discuss initial utilization of the software in a circuits class and the results of acontrolled laboratory trial comparing the impact on student learning of software usage to that ofconventional homework exercises.2. New Software Features2.1. New Features of Circuit Generation AlgorithmsOur basic circuit generation algorithms were described previously.1 We now include optionalspecification of the number of floating supernodes (i.e
other ISSST sessions, reflecting back to participants whatwe heard and saw but through the lens we were developing on sustainability. To prepare for thesession, the research team spread across three concurrent sessions of ISSST, and took notesbased on the following items: 1. What do people consider “sustainability”? 2. What are things our students should understand, know, be able to do? 3. Do we see evidence of our initial gateway concepts: Time; Scale; Feedback; Energy; Modeling 4. What mentions of contexts are made: values; social; political; technical 5. To what degree are conversations focused on US or globally? 6. Any mentions of corporate, industrial, governmental, educational contexts? 7. What did we miss in
AC 2012-3656: ART2STEM: DISCOVERY THROUGH DESIGN LINKSMIDDLE SCHOOL GIRLS TO STEM SKILLS AND CAREER PATHSMs. Sydney Rogers, Alignment Nashville Executive Director of Alignment Nashville (AN) since 2005. AN is a non-profit that supports K-12 education. She was formerly vice-president and dean of technologies at Nashville State Community College for 30 years. Rogers has led several NSF funded grants aimed a reforming teaching and learning. She is currently assisting the Ford Next Generation Learning Initiative as part of the national team.Ms. Sandra M. Harris, Alignment Nashville and PENCIL Foundation Sandra Harris is the Program Manager for Art2STEM, a three-year grant that the National Science Foun- dation awarded
% Fall 2018 69.4% 78.5% Fall 2019 67.2% 79.0% Fall 2020 53.3% 60.9%According to the literature, there are at least three major factors that have resulted in such lowstatistical measures: (1) socioeconomic factors of the Rio Grande Valley (RGV) region, (2) mostfreshman students are first-generation college students, and (3) the effects associated with COVID-19. Due to these factors, several student tendencies were observed by faculty members in theclassroom. For example, students are not aware when they face academic challenges; study habitsare not well developed; students avoid asking questions early in the semester; only a limitednumber of
15% identified as having multiple or diverse racial/ethnic identities.Specifically, 3% identified as both American Indian/Native American and White/Caucasian(n=1), 3% identified as both American Indian/Native American and Black/African/AfricanAmerican (n=1), 3% identified as both White/Caucasian and Black/African/AfricanAmerican (n=1), and 3% identified as Hispanic/Latino(a) and Black/African/AfricanAmerican (n=1).Guided and interactive discussions were conducted through focus groups, which wereconducted online, to gather insight into students’ motivation in engineering/computer scienceproject-based learning. The focus group sessions began with a brief introduction of the study,and students were asked to create pseudonyms to maintain
is the US engineeringeducation–workforce system preparing and using engineers? What adaptations are needed toensure that this system can respond effectively and expediently to current and future needs? Tounderstand these questions, a committee of experts reviewed published literature and analyzedrelevant datasets in order to accomplish the following three objectives: 1. Collect and synthesize data on the characteristics (e.g., age, job category) of those working or trained as engineers. 2. Collect and synthesize data on factors (e.g., personal values, economic incentives) influencing the career decisions of those working or trained as engineers. 3. Use these analyses to consider the implications of current career pathways of
Paper ID #26589Board 92: Using Mixed Reality and the Three Apprenticeships Frameworkto Design Head-, Hand- and Heart-focused Learning Experiences for CivilEngineering StudentsDr. Jeremi S London, Virginia Polytechnic Institute and State university Dr. Jeremi London is an Assistant Professor in the Engineering Education Department at Virginia Poly- technic Institute and State University. London is a mixed methods researcher with interests in research impact, cyberlearning, and instructional change in STEM Education. Prior to being a faculty member, London worked at the National Science Foundation, GE Healthcare, and Anheuser
requirements of: writing a quality memo to the client, outlining a logical general proce-dure, clearly stating assumptions, applying the appropriate economic analysis techniques, ad-dressing the ethical issues, applying the general procedure to the client’s specific case, andproviding a reasonable solution. The average and standard deviation of the scores on the concept Page 25.290.7inventory for the two classes at the start and end of the term are shown in Table 1.Table 1: Results of Concept Inventory Scores Comparison Experimental Group (E-MEA) GroupStart of Term
Computer Engineering (ECE) and was named the Roanoke Electric Steel Professor in 2016. Prior to joining VT, he was a professor of ECE at the University of New Mexico (UNM) from 1994 to 2013, and most recently the Interim Department Chair and the Endowed Chair Professor in Microelectronics there. Before 1994, Dr. Lester worked as an engineer for the General Electric Electronics Laboratory in Syracuse, New York for 6 years where he worked on transistors for mm-wave applications. There in 1986 he co-invented the first Pseudomorphic HEMT, a device that was later highlighted in the Guinness Book of World Records as the fastest transistor. By 1991 as a PhD student at Cornell, he researched and developed the first strained
) andneurodivergent instructor (n=2) perspectives through interviews and focus groups throughout asemester to understand their experiences with and recommendations for inclusive practices. Ourfindings demonstrate that a combination of practices is required to support these students.IntroductionComputer Science instructors can better teach neurodivergent students when they have thenecessary training to enhance learning and belonging for these students [1]. Neurodiversity is aterm that captures how natural, biological variation in neurological development is a fact andbenefit of the human population [2], [3]. Here, we include any neurominority within the termneurodivergent, including, but not limited to, autism, dyslexia, and mental health disorders [4],[5