Paper ID #44576System Engineering a Better Mental Health SystemDr. Paul Lu, University of Southern California Viterbi School of Engineering. Depart of Industrial and SystemsEngineering Dr. Paul Lu is Senior Lecturer and Program Director Master of Science Engineering Managements at University of Southern California. Viterbi School of Engineering, Daniel J. Epstein School of Industrial and Systems Engineering. Dr. Lu has over 40 years of experience in the Aerospace Industry. He fo- cuses on the strategic implementation of technology and innovations, new product development, systems engineering, project and program management
conservation.Marko V. Lubarda, University of California San Diego Marko V. Lubarda is an Assistant Teaching Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He teaches mechanics, materials science, design, computational analysis, and engineering mathematics courses, and has co-authored the undergraduate textbook Intermediate Solid Mechanics (Cambridge University Press, 2020). He is dedicated to engi- neering pedagogy and enriching students’ learning experiences through teaching innovations, curriculum design, and support of undergraduate student research.Xuan Emily GedneyDr. Saharnaz Baghdadchi, University of California San Diego Saharnaz Baghdadchi is an Assistant
. With Engaged Teaching Hub, Minju has designed TA training materials for oral exams and have conducted quantitative analysis on the value of oral exams as early diagnostic tool (Kim et al., ASEE 2022). Minju is interested in designing assessments that can capture and motivate students’ deep conceptual learning, such as oral exams and the usage of visual representations (e.g., diagrams and manual gestures).Marko V. Lubarda, University of California, San Diego Marko V. Lubarda is an Assistant Teaching Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. He teaches mechanics, materials science, design, computational analysis, and engineering mathematics courses
23.08.22. 2. AAAS et al. STEM and the American Workforce: An Inclusive Analysis of the Jobs, GDP, and OUTPUT Powered by Science and Engineering, Aerospace Industries Association, American Association for the Advancement of Science, et al., 2020. 3. Østergaard, C.R; B. Timmermans, and K. Kristinsson. (2011). “Does a different view create something new? The effect of employee diversity on innovation,” Research Policy, V. 40, I. 3. Pp. 500-509. 4. NCSES, Diversity in STEM: Women, Minorities, and Persons with Disabilities 2023, National Center for Science and Engineering Statistics, NSF 23-315. 5. NSB, The State of U.S. Science & Engineering 2022: Science and Engineering Indicators, National Science
Paper ID #40870Virtual Exchange Embedded in a STEM Summer Camp Improved UnitedStatesHigh School Students’ Awareness of Filipino CultureDr. Matthew J. Traum, University of Florida Dr. Matthew J. Traum is a Senior Lecturer and Associate Instructional Professor in the Department of Mechanical and Aerospace Engineering at the University of Florida. He is PI of UF’s GatorKits Labo- ratory and Associate Director of UF’s Center for Engineering Design. Dr. Traum is also a Director of RaveBio Inc., a biotechnology startup founded by former students. Dr. Traum is an experienced educator, administrator, fund raiser, and researcher. As
. implemented PBL modules in Mechatronics, FluidMechanics, and Heat Transfer courses for the design of a fluid-powered gantry crane18. Indirectassessment of all students indicated that their method contributed to student learning on topicscovered in lecture and students’ ability to synthesize new information not covered in class.Miller and Xu implemented a common project among mechanical and aerospace engineeringundergraduate and graduate students to design a robotic mission to perform scientificexperiments on the Moon19. While they did not collect data on the project’s impacts, studentsdemonstrated their enthusiasm for the project’s realism and its connection between the courses.Regardless of the implementation, research shows that PBL is an effective
the classroom, providing students with signicant improvements in their ability to learn the theory and ”art” of engineering simulation and design. He received his B.S. and M.S. in Mechanical Engineering and Ph.D. in Civil Engineering all from UC Irvine.Prof. Faryar Jabbari, University of California, Irvine Faryar Jabbari received his PhD, in Mechanical Engineering, in 1986 from University of California, Los Angeles. Since then, he has been on the faculty of the Mechanical and Aerospace Engineering Department of University of California, Irvine. His research interests are in control theory and its applications such as earthquake engineering and energy systems. He teaches classes in Dynamics, Control, Vibration and
for engineering practiceBackgroundThe course, for which we develop the labs, serves as an introduction to EE intended forengineering students from non-EE departments. The goals of this course include: ü Help non-EE students learn the key EE concepts and skills they can use in projects across many fields of engineering ü Highlighting practical applications in which EE is used, and ü Providing hands-on, insightful, and enjoyable lab experience.v Student audienceIn the Fall 2012 semester, enrollment was 156 students, including 90 juniors, 64 seniors, onesophomore, and one graduate student. As for their fields of study, the primary audience wascomposed of Mechanical, Aerospace, and Nuclear engineering students, as shown
Liaison Council meetings.In fall 2011, six online engineering courses at three of the participating institutions were offered Page 23.1090.11through JEP. Drafts of course descriptors for 8 engineering courses (Statics, Circuits, CircuitsLab, Introduction to Engineering, Graphics, Materials Science, Dynamics, and Surveying), anddrafts for Transfer Model Curriculum for two engineering tracks (Aerospace, Civil, Mechanicaland Manufacturing Engineering for one track; and Electrical and Computer Engineering for theother track) have been developed through the Joint Engineering Program.As of fall 2012, the Joint Engineering Program has increased the
to Engineering course.First-Year Projects—The FYEP course focuses on hands-on, team-based, project-centereddesign, and is a three-credit, one-semester course serving ~450 first-year students yearly insections of 32 students. The course is required for mechanical, aerospace, civil andenvironmental engineering majors, and is an elective for all others. The main course goal is tomake connections between the theoretical aspects and the professional practice of engineering,helping budding engineers understand that engineering is a helping, people-oriented professionthat underpins our economy and quality of life. This integration is accomplished by introducingstudents to the design-build-test product prototype cycle in a team-based setting, with
engineering education and practice. Corey conferred her Ph.D. in aerospace engineering from the University of Michigan - Ann Arbor in April 2021; her thesis included both technical and educational research. She also holds an M.S.E. in aerospace engineering from the University of Michigan - Ann Arbor and a B.S.E. in civil engineering from Case Western Reserve University, both in the areas of structural engineering and solid mechanics.Michael W. Ibrahim, California State University, Los Angeles Dr. Ibrahim is an Assistant Professor of Civil Engineering as well as the founder and director of the Construction and Engineering Management specialization at Cal State LA. His research and teaching focus on the intersections between
from the Industrial, Systems, and ManufacturingEngineering while Aerospace, Applied, and Mechanical Engineering each had one studentparticipating in the survey. 25 international students were included and 14 were United Statescitizen. The primary software used for data analysis was SPSS, a widely recognized tool forstatistical analysis in social science research [16]. SPSS was chosen for its robust capabilities inhandling both quantitative and qualitative data, its user-friendly interface, and its extensive rangeof statistical functions.3.1 Descriptive Statistics Descriptive statistics were employed to summarize and describe the basic features of thedata. This included calculating measures of central tendency such as mean, median
UniversityDr. Krista M Kecskemety, The Ohio State University Krista Kecskemety is an Associate Professor of Practice in the Department of Engineering Education at The Ohio State University and the Director of the Fundamentals of Engineering for Honors Program. Krista received her B.S. in Aerospace Engineering at The Ohio State University in 2006 and received her M.S. from Ohio State in 2007. In 2012, Krista completed her Ph.D. in Aerospace Engineering at Ohio State. Her engineering education research interests include investigating first-year engineering student experiences, faculty experiences, and the research to practice cycle within first-year engineering. ©American Society for Engineering
Paper ID #42763The Benefits of Interdisciplinary Learning Opportunities for UndergraduateMechanical Engineering StudentsIsaac Koduah Kumi, Old Dominion University Isaac K. Kumi is a Mechanical Engineering Ph.D. student at Old Dominion University. He has a B.Sc in Biomedical Engineering and an M.E. in Mechanical Engineering. His research interests are in biomechanics and biomechanical modeling and simulation.Dr. Stacie I Ringleb, Old Dominion University Stacie Ringleb is a professor in the Department of Mechanical and Aerospace Engineering at Old Dominion University and a fellow of the American Society of Biomechanics. Dr
qualitativedata analysis. Further, 105 study participants completed the survey in its entirety including thequalitative parts. Therefore, our qualitative analysis consisted of these 105 study participantresponses. Based on the total undergraduate enrollment at the College of Engineering in Spring2022, the response rate was 6.70%. Following is a general description of the survey respondents. A breakdown of the participant pool by demographics is provided in Table 1. Most of theparticipants were male (77.12%) and White (99.37%). Second-year participants (36.44%)dominated the participant list, while mechanical & aerospace engineering (62.71%) had the mostpresence discipline-wise. Most of the participants were continuing (i.e., not first
Paper ID #41887Mechanical Engineering Sustainability Curricular Content and Bachelor’sDegrees Awarded to WomenDr. Angela R Bielefeldt, University of Colorado Boulder Angela Bielefeldt is a professor at the University of Colorado Boulder in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director of the Integrated Design Engineering program. Her research interests include ethics, social responsibility, sustainability, and community engagement.Ms. Joan Tisdale, University of Colorado Boulder Joan Tisdale holds degrees in both Aerospace and Mechanical Engineering from Auburn University and MIT
Paper ID #44033Board 70: Redesigning a Capstone Course with Product Design in Mind: AWork in ProgressProf. Annie Abell, Ohio State University Annie Abell is an Associate Professor of Practice in the Department of Mechanical and Aerospace Engineering at Ohio State University in Columbus, OH. Annie earned her BS in Mechanical Engineering from Valparaiso University and her MFA in Design Research & Development from Ohio State University. She teaches capstone design courses for mechanical engineering students, and a variety of product design elective courses for engineering students as well as for students of all majors at
InformationBRETT MEYER is an instructional designer and multimedia specialist at the University of Nebraska – Lincoln,at Omaha. Brett is involved in the development of innovative teaching tools for faculty in The Durham Schoolof Architectural Engineering and Construction. He has been involved with classroom teaching and instructionaldesign in secondary and higher education for the past 9 years.DR. TIMOTHY WEI is the Dean of the College of Engineering at the University of Nebraska. Prior to that, hewas a professor, Department Head, and Interim Dean in the Department of Mechanical, Aerospace Engineeringat RIT for 5 ½ years. Before that he spent 18 years as a Professor in the Department of Mechanical &Aerospace Engineering at Rutgers.DAVID JONES is the
-problems” or compound problems containing a variety of different problem types. While there isa growing body of literature on researching differences in solving the variety of differentproblem types [4], little research provides understanding of compound problems or theinteraction of problem types within compound problems. This paper tries to provide someinsights on this gap in the literature.II. Theoretical FoundationProblem-based learning (PBL) modules or courses have been implemented in numerousengineering programs, including biomedical engineering [5], chemical engineering [6], softwareengineering [7], design processes [8], aerospace engineering [9], and construction engineering[10]. Although PBL represents a very influential pedagogical
degree.Evaluation of the standards, implemented by means of student activities, proves that they areeffective.IntroductionSan Diego has an extensive technical and scientific base of aerospace, biotechnology,communications, and computer-related companies, as well as research institutes, universities, andmedical centers. San Diego also has a diverse ethnic and economic population. Currently there areindividual programs in San Diego, derived from the nationally-recognized Mathematics, Engineering,Science Achievement (MESA) Program, that assist underrepresented students to earn degrees inScience, Technology, Engineering and Mathematics (STEM) fields. The MESA mission is to enableeducationally disadvantaged students to prepare for and graduate from a four-year
Paper ID #44140Board 111: Transformative Approach of Engineering Technology CurriculaBased on Sustainability, Systems Thinking, Creativity, and Alignment withIndustry NeedsDr. Irina Nicoleta Ciobanescu Husanu, Drexel University Dr. Irina Ciobanescu Husanu is Engineering Technology Program Director and Associate Clinical Professor with Drexel University, Department of Engineering, Leadership and Society. She received her PhD degree in mechanical engineering from College of Engineering at Drexel University and her BS/MS in Aeronautical Engineering from Aerospace Engineering College at Polytechnic University of Bucharest
her Ph.D. in Engineering Education from Virginia Tech. Her research interests focus on the intersection between motivation and identity, first-year engineering programs, mixed methods research, and innovative approaches to teaching. She is the principal investigator for the Research on Identity and Motivation in Engineering (RIME) Collaborative.Dr. Krista M Kecskemety, The Ohio State University Krista Kecskemety is an Associate Professor of Practice in the Department of Engineering Education at The Ohio State University and the Director of the Fundamentals of Engineering for Honors Program. Krista received her B.S. in Aerospace Engineering at The Ohio State University in 2006 and received her M.S. from Ohio State
. For healthy persons, BMI devices can extend standardcapabilities, improve safety in high-risk professions and augment capabilities for extremeconditions (e.g., aerospace, military, remote surgery, hazardous environments, etc.).It is becoming increasingly evident, however, that the kinds of large datasets required to developand translate these exciting BMI technologies require targeted design of data analytics (DA),machine learning (ML) tools and artificial intelligence (AI) approaches for neuroengineeringapplications to fulfill their promise [3-6]. However, bias and lack of fairness, often caused bylow diversity in project development teams, challenge the usefulness of AI and ML-enabledsystems [7] and limit the potential adoption of such
,aerospace engineering and modern transportation systems.A simplified circuit diagram of a simple WPT system isillustrated in Figure 4.The equations that govern this equivalent circuit is given bya system of two second-order linear differential equationswith constant coefficients as given by Eqn. (2), one of whichis non-homogeneous while the other one is homogeneous. 𝑑2 𝐼1 (𝑡) 𝑑2 𝐼2 (𝑡) 𝑑𝐼1 (𝑡) 𝐼1 (𝑡) 𝑑𝑉1 (𝑡) 𝐿1 + 𝑀 + 𝑅1 + = 𝑑𝑡 2 𝑑𝑡 2 𝑑𝑡 𝐶1 𝑑𝑡 2 (𝑡) 2 (𝑡) 𝑑 𝐼2 𝑑 𝐼1 𝑑𝐼2 (𝑡) 𝐼2 (𝑡) 𝐿2 2 +𝑀 2 + (𝑅2 + 𝑅3
coursestudents who were not currently PTAs. Four freshman, twelve Engineering Discipline Number of Participantssophomores, six juniors, and four seniors comprised the final Aerospace 3group of students. All of the students had previously taken Biological and Agricultural 2and passed the introductory engineering course (ENGR Biomedical 3OLD). Table 2 details the number of students from each Chemical 2discipline who took part in the pilot course. The number of Computer Science 3participants from each discipline is not proportional to the
% Engineering Mechanical Engineering 5% Food Science and Human Nutrition 4% Electrical and Computer Engineering 1% Physics and Astronomy 1% Aerospace Engineering 1% Horticulture 1% Computer Science 1%We recruited participants in several ways. We emailed department chairs and directors ofgraduate education explaining the program and asking them to forward the information to theirstudents. PIs discussed the program at their department orientation events. Right before thebeginning of each semester, a workshop was hosted to explain the purpose of
relatable inspirational videos, so more female engineers in Vermontwere asked to create a “if you can see it, you can become it” video series. Mentor feedbackindicated that it was challenging for them to have meaningful conversations about equity,diversity, and inclusion with the youth, so Vermont Afterschool arranged for guest speakers todiscuss the challenges they have encountered in the STEM field. Some guest speakers havestayed to do the engineering activity, allowing the Mentors to see an example of a femaleengineer in practice. Youth also went on a field trip at the end of last semester to BetaTechnologies, an aerospace company in Burlington, Vermont where the youth and Mentorsexperienced real life engineering. Over several sessions, Vermont
identified factors from 12 elementary school teachers. Instead of asking teachers to simplyrank these factors, a risk assessment methodology was utilized to explore each of the factors indetail and understand their specific impact on teachers.Risk assessment is a common practice in areas like aerospace, healthcare, and environmentalscience to analyze possible risks or hazards to humans or the environment. The risk assessmentmethodology determines implications of a potential failure of a machine or a project byaddressing two-dimensions: probability (chances of potential failure) and impact (severity of theworst case scenario). Risk score is calculated by multiplying the probability value with theimpact value.Risk assessment methodology was adapted
, where he designed and developed control and fault diagnosis systems for jet engines. His research has been focused on decentralized control and fault diagnosis techniques in microgrids, renewable energy systems, mechatronics, and aerospace. ©American Society for Engineering Education, 2023Solar Powered Car Speed Radar Measurement, Display, and Logging SystemAbstractStudies have shown that there is a 10% fatality rate when a pedestrian is struck by a vehiclemoving at the speed of 20 (mph), and the rate scales up to 90% at the speed of 40 (mph).Moreover, the residential areas with radar speed monitors are shown to be safer in terms ofaccident probability. Motivated by these statistics, in this National Science
Paper ID #38145Data Analytics Short Courses for Reskilling and UpskillingIndiana’s Manufacturing WorkforceTed J. Fiock, Purdue ProgramsJonathan MohnJohn MackCharilaos MousoulisMr. Eunseob Kim, Purdue University Eunseob Kim is a Ph.D. student in the School of Mechanical Engineering at Purdue University, IN, USA. He received his BS degree in Mechanical Engineering from Gyeongsang National University, Korea in 2013, and his MS degree in Mechanical and Aerospace Engineering from Seoul National University, Ko- rea in 2016. His research interests include smart monitoring, sound recognition, and artificial intelligence