the program ≠ Graduates do receive compensation commensurate with their teaching commitmentsThe program is described in detail below, as well as a dialog with a previous mentee/mentor pair.EF Mentoring StructureThe mentoring program within Engineering Fundamentals has two possible structures: 1)Masters students who typically teach for one or two semesters and 2) Doctoral students whoteach for multiple semesters throughout their course of study. Typically, the Masters students, asexpected, receive more guidance than the Doctoral students and have less responsibility.Prior to teaching in the department, the graduate students are paired with a mentor who has theprimary responsibility for the basic course material, class projects, exam
, safety, and global considerations in design, investigation, and construction of natural and built systems;4. To enhance analysis and design tools and experience through life long learning; and5. To serve others through professional responsibility, leadership, and participation in professional and public activities, and good citizenship. Page 15.1101.4More general goals of the department and college include:1. Providing a challenging and stimulating academic environment in which creative talents flourish.2. Making research and instruction relevant to contemporary problems.3. Offering quality degree programs at the baccalaureate, masters and
wellhead stress analysis. Professor Dyer has worked on projects with the FAA and the OU Department of Aviation to implement the Ground Based Augmentation System, a Differential-GPS based aircraft landing system. He has also worked on projects involving passive multilateration for aircraft tracking, Distance Measuring Equipment (DME, a standard FAA navigation technology), and Space Based Augmentation System (SBAS) error analysis. Dr. Dyer is a Commercial-rated pilot and occasionally lends his piloting skill set to test flights for assessing navigation technology performance.Mr. David Sandmann MSEE, University of Oklahoma Obtained Bachelors’ and Masters’ in Electrical Engineering from the University of Oklahoma in 1994
Science (BITS), Pilani, India; a Master of Engineering in Automation from Indian Institute of Science (IISc), Bangalore, India; and a Ph.D. in Computer and Information Science from University of Pennsylvania (UPenn), Philadelphia, Pennsylvania. His research interests are in the area of systems modeling and analysis, formal methods, and applications of Colored Petri Nets (CPNs). He has used CPNs to model and analyze network protocols, service systems, biological pathways, healthcare systems, enterprise architectures, re-entrant systems, and broadband services. He is a member of the ACM and Sigma Xi. His email address is vijay.gehlot@villanova.eduMr. E.J. Dougherty III, Villanova University E.J. Dougherty III is an
, however, fullintegration with the avionics and software was not possible at the time. Thus, the smart plug wasrequired to have a standalone application on a Windows-based Master Control Unit that provided agraphical user interface. The team was also required to deliver a minimum of five units to the DSHproject for evaluation.Development ApproachThe ESET Principle Investigators proposed a highly unique development, test and validation approachin their response to the NASA X-Hab Challenge solicitation. The faculty members proposed to sponsora Capstone Design project as part of the funded research effort. This approach, although somewhatriskier than a standard research project, allowed the overall project costs to be reduced to a level thatwas
. in Engineering Education from Purdue University. Meagan worked as a engineer for Texas Instruments, including three co-op rotations, before returning to school to earn her doctorate. She has earned a B.S. in Computer Science from Texas Woman’s University, and a Masters of Electrical Engineering from Texas Tech University. In addition, Meagan has developed secondary curriculum in STEM for Learning.com and Scientific Minds, and worked as a research consultant for Texas Instruments Education Technology in exploring the K-12 Engineering Education market opportunities. As a researcher, Meagan’s current work is focused on closing the gender gap in engineering, improving STEM career counseling, equipping STEM
Paper ID #8951PBL Field Deployment: Lessons Learned Adding a Problem-Based LearningUnit to a Traditional Engineering Lecture and Lab CourseMs. MaryShannon Williams, University of Missouri, Columbia MaryShannon Williams graduated with a Bachelor of Science in Radio-TV-Film from the University of Texas, Austin, in 1994; and completed her Master of Arts in Education at the University of Texas at San Antonio in 2004. She spent 10 years working in K-12 education prior to becoming an Instructional De- signer for The University of Texas Health Science Center’s School of Nursing. In 2011, she entered the doctoral program in the
traits are desired traits or characteristics of a skilledpractitioner of critical thinking. These three components are interrelated and eachcontributes to the development of a critical thinker. In the Paul-Elder model, criticalthinkers apply the intellectual standards to the elements of reasoning in order to developintellectual traits (Figure 2). There are two essential dimensions of thinking that studentsneed to master in order to learn how to upgrade their thinking. They need to be able toidentify the component parts of their thinking, and they need to be able to assess their useof these parts of thinking. These two essential dimensions, in concert with the intellectualstandards, elements of thought and intellectual traits, can be organized
, Northwestern State University, and Franklin University. Dr. Bachnak received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from Ohio University. His experience includes several fellowships with NASA and the US Navy Laboratories and employment with Koch Industries. Dr. Bachnak is a registered Professional Engineer in the State of Texas, a senior member of IEEE and ISA, and a member of ASEE.Dr. Rohitha Goonatilake, Texas A&M International University (TAMIU) Dr. Rohitha Goonatilake, professor of mathematics, received his Ph.D. in Applied Mathematics from Kent State University, in Kent, OH in Fall 1997, three masters in the areas of applied mathematics, mathemat- ics, and actuarial sciences, and a bachelor’s
concepts related to thesecond law (reversibility, impossibility, entropy, and exergy) than those to the first law. Forexample, a Delphi study 1 identified thermodynamic concepts of high importance but with littlestudent-understanding 2; the study reveals a second law concept (reversibility) to be ranked 7thamong 28 concepts because very few students understand it but experts generally consider itimportant. During the development of second-law oriented tutorials, Cochran and Heronobserved severe deficiencies of students’ second-law understanding 3.To address issues about students’ challenges in mastering the second law, it is necessary to Page
update to conclude this interaction and to solicit a new interaction. Figure 3: Process of the team-instructor interaction on design projects5. Case studyThis section presents a case study to detail the implementation of our proposed interactionprocess upon a graduate “design thinking” course offered at University of Southern California.5.1 Course backgroundAME-503, “Advanced Mechanical Design – Innovative Design Thinking”, is a 3 unit graduatecourse offered by the Aerospace and Mechanical Engineering department at University ofSouthern California (USC). This is a degree-required course for the program of Master ofScience in Product Development Engineering and Master of Science in Mechanical Design atUSC. In the curriculum, this
) Directorate. Ali has earned his Ph.D. in Operations Research from Florida Institute of Technology (FIT). He has received a Master of Science (M.S.) degree in Computer Systems from University of Central Florida and a second M.S. degree in Operations Research from the same university. His research interests include knowledge management, data mining, object-oriented methodologies, design patterns, software safety, genetic and optimization algorithms and data mining. Dr. Shaykhian is a professional member of the American Society for Engi- neering Education (ASEE), serving as the past Program Chair for the Minorities in Engineering Division.Mr. Robert J Beil, NASA Engineering and Safety Center Mr Beil currently serves as a
Paper ID #10751Team-Based Learning Theory Applied to Engineering Education: A System-atic Review of LiteratureMr. Homero Gregorio Murzi, Virginia Polytechnic Institute and State University Homero is currently a PhD Student and Graduate Teaching Assistant in the Department of Engineering Education at Virginia Polytechnic Institute and State University. He is also an assistant professor in the Industrial Engineering department at the National University of Tachira in Venezuela. He holds a Bachelor and Master degree in Industrial Engineering from the National University of Tachira in Venezuela and a Master in Business
designproject. The common lectures and development of theory are minimized.The justifications for this approach are that (1) students could learn, understand and master moreknowledge and skills by doing the project as the faculty drove students through the designprocess and (2) students have learned the generic design procedure and the mechanics ofmaterial. The pros and Cons of this approach are followings.Pros: Good students can learn, understand and master more knowledge and skills for mechanicalelement design through conducting design project;Cons: Student might not have solid theoretical understanding because design project might justuse portions of design theory; students might be overburdened by learning and exploringmachine element design by
-absent, 1-emerging, Page 23.902.132-developing, 3–competent, 4–effective, and 5–mastering. !" " Engineering Professional Skills Assessment (EPSA) Rubric ABET; Washington State University - College of Engineering and Architecture, University of Idaho - College of Engineering, Norwich University - David Crawford School of Engineering Rater’s Name
] mark and follow eachdiscrete element, with the unique capability of attaching various identifying attributes to each particle as itroutes through compartments maintaining a historical record of compartment contacts. NPT is essentiallyan individual-based (or agent based) method which deduces its rules on how an individual particle will Page 23.925.3move directly from the differential equation representation of the network model. NPT preservescausality. NPT is a stochastic method that is compatible with the so-called “master equation” [10-12]. Inother words, the mean of many NPT simulations agrees with the differential equation
simulations, computational methods, solid modeling, design andfabrication.AcknowledgementThe authors wish to thank NSF’s CMMI (Civil, Mechanical and Manufacturing Innovation)program for supporting this project under an awarded NSF MRI grant.References1. Kaiser, M. A., Advancements in the Split Hopkinson Bar Test, Master thesis, Virginia Polytechnic Institute Blacksburg, Virginia, 1998.2. Kolsky, H., an Investigation of the Mechanical Properties of Materials at Very High Rates of Strain, Proceeding of Royal Physics Society, B 62, pp. 676-700, 1949.3. Ramesh, K. T., High Strain Rate and Impact Experiments, Springer handbook of Experimental Solid Mechanics, Springer Science: New York. pp. 929-960, 2011.4. Lang, S. M., Design of a Split Hopkinson
Model.Additional observations 1. The five-point Likert scale (zero to four) used in the survey was effective in giving respondents opportunities to rate the relative importance of each of the 99 manufacturing- related topics over the range: Not Important (0), Useful (1), Important (2), Very Important (3), and Critical (4). 2. The provision of additional modifiers for each rating level was helpful to relate the ratings to how professionals in the manufacturing workforce from production operators, to technicians, supervisors, engineers, and managers are expected to master each given topic. The modifiers were: (0) – Not used or N/A; (1) – Remember; (2) – Understand- Apply; (3) – Analyze-Evaluate; (4) – Create. 3. The
SI units. Non-technical graduates should be given a Page 23.1148.9minimum of two year exposure to SI units, with the goal that they understand the commonly Table 5: M20-50 Teaching Strategy Level SI Content (%) Topics SI Base Units, Conversion Problems. Master measurements in primary base units of length, mass, and time. Physical feel of units by100/1000 20 guessing distances (length, circumference, perimeter) and masses to be emphasized. 20% of assignments
. For example, as it is an aim of the university that all graduateswill have mastered graduate outcomes based on the university‟s values, these values were animportant consideration in the design of the WELA LDP. It was also important to consider whatother universities have done, both nationally and internationally to develop WES. The final twostakeholders whose views were taken into consideration were the women engineers alreadyworking as well as WES currently studying at the university. Input from all of thesestakeholders was considered to develop a WELA LDP.As a starting point to revise the existing WELA programme into a new WELA LDP, the existingWELA programme was investigated with a view of determining if it still met the goals of WELAin
awards, two Professorships, two national ASEE teaching awards, and is internationally recognized in his primary research field.Mr. Eugene Rutz, University of Cincinnati Eugene Rutz, PE serves as an Academic Director in the College of Engineering & Applied Science at the University of Cincinnati. Rutz is also a registered professional engineer with experience in nuclear power, radiological engineering and mechanical design. Rutz provides administrative and academic oversight of the college’s combined B.S. and M.S. programs, the Master of Engineering program and an outreach program with local high schools. Rutz also serves as co-PI on the MSP project.Ms. Julie Steimle, University of Cincinnati Julie Steimle received
, and Biomechanical Engineering, with products as diverse as air bag systems for helicopters, body armor, and orthopedic implants. She received her Bachelors Degree in Mechanical Engineering from the University of Michigan in 1990, her Masters degree in Mechanical Engineering from Northwestern University in 1994, and a Masters in Business Administration from Arizona State University in 2000. c American Society for Engineering Education, 2013 Why Some Community College Students Choose Engineering and Some Don’tAbstractFor the past 10 years, engineering outreach programs have been conducted by a major universitywith local and rural community colleges (CCs
InformationAdam Carlton Lynch, PhD ADAM CARLTON LYNCH received the BS and MS degrees in Industrial and SystemsEngineering from the University of Southern California. He received his Master of InternationalManagement from the Thunderbird School of Management (part of Arizona State University).He completed a PhD in Industrial, Systems, and Manufacturing Engineering (ISME) fromWichita State University (WSU) in Kansas. Dr. Lynch has 30 years of global industryexperience, particularly aerospace. Dr. Lynch now serves as an Associate Teaching Professor in © American Society for Engineering
of Engineering Education Annual Conference & Exposition, 2016, vol. 2016-June.[5] M. E. West, M. E. Ita, L. E. Rumreich, R. L. Kajfez, and K. M. Kecskemety, “Development of a Direct Assessment for Measuring Students’ Ability to Make Connections,” in 127th American Society for Engineering Education Annual Conference and Exposition, 2021.[6] C. A. Bodnar and C. Hixson, “Capturing Students’ Perception of Entrepreneurial Mindset: Tools for What and Why,” Adv. Eng. Educ., vol. 7, no. 1, pp. 1–12, 2018.[7] C. A. Bodnar, S. Jadeja, and E. Barrella, “Creating a master entrepreneurial mindset concept map,” American Society of Engineering Education Annual Conference & Exposition, vol. 2020
provides students with broad opportunities to deliberatelypractice using SQL statements with immediate and informative feedback, which we expect willimprove their knowledge retention.Deliberate practice and immediate feedback help learners master material efficiently [15]. Anonline training environment can provide structured problems and context-specific, immediatefeedback to facilitate structured deliberate practice. [16]Although deliberate practice is efficient, students can feel taxed while addressing challenging,repetitive problems. Enhancing student engagement can encourage students to persevere. Studentengagement emerges from a combination of interest, enjoyment, and concentration [17] and isessential to student satisfaction, motivation, and
on rigid bodies is the soul of the statics. This is the mandatory first step to anymechanics of materials problem and must be mastered by the student engineer. To that end, thebeam model used to introduce equivalent systems returns. However, now students will engagewith predicting the reactions that were merely observed in earlier exercises. • Define… o A rigid body member (MBR). o Equations of equilibrium (EoE) for a force and moment system. • For a single rigid body system in equilibrium… o Draw a free body diagram (FBD). o Write the EoE from the FBD. o Calculate force and moment reactions (RXNs) in 2D.DemonstrationContext: The cantilevered floor system of the Kennedy Performing
Michigan - Dearborn Dr. Song received his second PhD in Computer Science (with a focus on distributed systems and software engineering) from Virginia Tech USA in 2020, and the first PhD (with a focus on wireless networking and mobile computing) from Beijing University of Posts and Telecommunications China in 2015. He worked as a software engineer at Sina for one year after he graduated as a master from China Agriculture University in 2009. He received the Best Paper Award from IEEE Edge in 2019.Khalid Kattan, University of Michigan - Dearborn Dr. Khalid Kattan received his Ph.D. from Wayne State University in 2019 in Artificial Intelligence with a focus on Evolutionary Computation, Genetic and Cultural Algorithms. He
engineering programs [12]. First-year students face significant academic hurdles, such as adapting to rigorouscoursework and mastering foundational concepts critical to their future success. Studies indicatethat many engineering students struggle with self-regulation and organization, leading tosuboptimal performance and increased attrition rates [13]. Moreover, first-year students also facemental health issues like stress, anxiety, and depression. Specifically, Generation Z students,comprising the majority of college enrollment, face unique stressors, including the lingeringeffects of the COVID-19 pandemic [14]. Finally, Jensen and Cross [15] also stated that self-reported stress, depression, and anxiety levels are high among engineering
learning outcomes, sincethe mastery structure requires students to fully understand and apply concepts before moving onto other learning objectives, unlike traditional numerical grading. This style of grading workswell for engineering graphics courses because the generation of engineering graphics is a skillthat develops and is retained through repeated practice. By requiring students to practice a skilluntil it is mastered, the amount that each student will learn and retain should increase. Theflexibility of a non-linear learning trajectory means it can adapt to the needs of individualstudents, a significant move toward educational equity. A project-based approach to engineeringgraphics education also provides increased opportunity for student
, Jun. 2023.[4] R. A. Revelo, C. D. Schmitz, D. T. Le, and M. C. Loui, “Self-Efficacy as a Long-Term Outcome of a General Education Course on Digital Technologies,” IEEE Trans. Educ., vol. 60, no. 3, pp. 198– 204, Aug. 2017, doi: 10.1109/TE.2016.2635624.[5] R. A. R. Alonso and M. C. Loui, “The Long-term Outcomes of an Engineering Course for Students Outside Engineering,” presented at the 2012 ASEE Annual Conference & Exposition, Jun. 2012, p. 25.1320.1-25.1320.10. Accessed: Jul. 05, 2023.[6] F. M. Mims, Getting Started in Electronics, 4th ed. Arlington, TX: Master Publishing, 2000.[7] F. M. Mims, Engineer’s Mini-Notebook Series, 4th ed., vol. I. Arlington, TX: Master Publishing, 2007.[8] C. Platt