transformation emphases are illustrated in the coloredboxes. The colored circles signified the methods and decisions of self improvements (SI0-1, SI1-2, andSI2-3). Various self-improvement methods (teacher reflection, product creativity check, and PBLexperience student report) were adopted in each round (text underlined). The major decisions of self-improvement are provided in the colored circle.This paper is structured as a case study to explain the transformation process listed inFigure 1, including working emphases, self-improvement methods and sequentialtransformation decisions for the DCS capstone course. Figure 1 shows the timeline ofcapstone transformation (rounds 0 to 3) and self-improvement cycles from 0-1, 1-2,and 2-3.In the following, Session
successful implementation of ABET student outcomes 1-7,” in 2021 ASEE Virtual Annual Conference Content Access, 2021. [2] ABET, “Fundamentals of program assessment workshop,” ABET, Tech. Rep., 2019. [3] G. Watkins, “Incorporating new ABET outcomes into a two-semester capstone design course,” in Proceedings of the 2022 Capstone Design Conference, Dallas, Texas, 2022. [4] K. Meah, D. Hake, and S. D. Wilkerson, “A multidisciplinary capstone design project to satisfy ABET student outcomes,” Education Research International, vol. 2020, 2020. [5] D. C. Davis, K. L. Gentili, M. S. Trevisan, and D. E. Calkins, “Engineering design assessment processes and scoring scales for program improvement and accountability,” Journal of Engineering
award by the ERM Division, ASEE, and 2020 outstanding researcher award by the School of Engineering Education, Purdue University. Dr. Anwar has over 20 years of teaching experience at various national and international universities, including the Texas A and M University - USA, University of Florida - USA, and Forman Christian College University - Pakistan. She also received outstanding teacher awards in 2013 and 2006. Also she received the ”President of Pakistan Merit and Talent Scholarship” for her undergraduate studies. ©American Society for Engineering Education, 2024 Work in Progress: Apples or Oranges - A step back in time to understand which programming language
2.2 Design meets objectives or needs stipulated in problem statement PI 2.3 Design adheres to applicable constraints and/or standards SO 3 An ability to communicate effectively with a range of audiences PI 3.1 Communicates in written form without grammar issues and uses appropriate report format PI 3.2 Presents technical ideas and concepts in written form clearly PI 3.3 Delivers oral communication fluently PI 3.4 Effectively uses of visuals (e.g. Powerpoint)The revised assessment process, utilizing the components described above, is depicted in Figure1 below. This process was developed to engender a more central role of continuousimprovement in the department’s process than it had played in the past. Figure 1 depicts a two
. Her re- search focuses on internationalization of higher education, faculty engagement, and international program assessment. American c Society for Engineering Education, 2021 Work in Progress: Examining the Literature on Virtual Internships for Insights Applicable to Engineering EducationAbstract:Internships are undertaken by roughly half of U.S. engineering students nationally and arewidely thought to benefit students in a variety of ways, strengthening students’ academicself-concept and increasing their persistence in engineering [1]–[3]. However, the COVID-19pandemic of 2020 caused an unprecedented shift in the structure of internships
conducted within the second half of a two-semester sequence inengineering fundamentals at a large university in the United States. The course involvedstudent teams developing design solutions to an engineering problem, coupled withindividual instruction and practice in technical and professional skills. Engineering ethicswas among the professional skills addressed, and was repeated several times throughoutthe course. Prior to the activity examined in this work, there was a session aboutacademic and professional integrity, along with discussions about responsibility andethical violations.3.2 Activity DescriptionIn order to further engage students in exploring this complex, nuanced, and sometimesuninteresting subject, in-class exercises were
a team of faculty in developing the Master of Science Program in Mechanical Engineering. He worked in industry at Motorola as a design engineer, previously was Dean of Academic Affairs in Arlington, Texas. His research interests include Micro and Nano Robotics for Cell Micro and Nano Manipulations, Computational Methods in Kinematics and Dynamics of Machines and Mechanisms, Design and Optimization of Vehicle Transmissions, Design of Robotic Systems. He authored two books, two book chapters, eleven peer reviewed journal papers, and fifteen technical papers presented at national and international conferences. He has been topic organizer at conferences and congresses in U.S, Canada, Italy, Japan, Romania, and
; 2015. Available from: https://www.astm.org/Standards/ISOASTM52900.htm[2]. Gao, Wei, et al. “The status, challenges, and future of additive manufacturing in engineering.” Computer-Aided Design, vol. 69, 17 Apr., pp. 65–89, 2015.[3]. Carter, W. T., D. J. Emo, D. H. Abbott, C. E. Bruck, G. H. Wilson, J. B. Wolfe, D. M. Finkhousen, A. Tepper, and R. G. Stevens. "The GE aircraft engine bracket challenge: an experiment in crowdsourcing for mechanical design concepts." In 2014 International Solid Freeform Fabrication Symposium. University of Texas at Austin, 2014.[4]. Agarwala, R., & Chin, R. A. (2015, June), Facilitating Additive Manufacturing Engagement and Outreach. Paper presented at 2015 ASEE Annual Conference and Exposition
contained the same grade distribution forclass participation, weekly group work participation, homework, group project, and the finalexam. While the control group had 3 midterm exams, the intervention group had 2 midtermexams and one group research presentation with the same grade distribution. The goal of our IRB-approved research study was to analyze the impact of gender,racial/ethnic background, and first-generation status on the students’ mindsets. In this paper, wereported our preliminary observations from the control group and described the mindsetinterventions applied to the intervention group. In the future, we intend to report the observationsfrom the intervention group and show the comparisons between the control and the
students attending in person and somestudents attending online simultaneously. Course grades were based on individual assignmentsthat included reflections and analyses, system maps and a final project.Table 1: NRT Integrated FEW Systems course scheduleDate TopicWeek 1 INTRODUCTION AND OVERVIEW: The Ogallala High Plains Region: OverviewWeek 2 INTRODUCTION AND OVERVIEW: Systems BasicsWeek 3 INTRODUCTION AND OVERVIEW: Systems Basics cont.Week 4 Introduction to LOOPYWeek 5 FEW NATURAL SYSTEMS: Engineering/Technical Aspects - WaterWeek 6 FEW NATURAL SYSTEMS: Engineering/Technical Aspects - WaterWeek 7 FEW NATURAL SYSTEMS: Engineering/Technical Aspects - EnergyWeek 8 FEW
worsens [4]. Despite this, the issue of representation within chemical engineeringspecifically remains under-researched. Indeed, a literature search of Chemical EngineeringEducation (CEE) and the ASEE chemical engineering division proceedings yielded only twostudies focused on gender [2, 4]; we did, however, find studies in CEE focused on studentdemographics more broadly [5] and one study in an international journal focused on theexperiences of women in chemical engineering [6].Most research about gender diversity in chemical engineering has focused on women’saspirations to study chemical engineering. Godwin and Potvin (2013) conducted a detailedquantitative analysis of pre-college factors related to students’ reasons for choosing
data, as they could later return to and review the recorded session in a more relaxedmanner. This moved the task slightly toward AE as they were “experimenting” with routing theconversation in different directions to uncover critical data from the interviewee. Although itwas not a large alteration in the task’s process, it resulted in a small movement in the CG of thetasks and was recognized as a positive alteration in our extraction of data and heuristics.These two examples involved moving tasks from the RO and AC corner (lower right corner ofFigure 3) and closer to the CG of our students’ KLS. For this specific research project, a majorityof the research tasks were in the RO and AC area, but this likely varies project to project.Overall, the
engineering education,” 2015 ASEE Annual Conference and Exposition Proceedings.3. Benson, L., Becker, K., Cooper, M. Griffin, H., & Smith, K. 2010. Engineering education: Departments, degrees and directions. International Journal of Engineering Education, 26(5), 1042–10484. Lopez, D., & Garcia, A. L. (2020, April). Training needs for a PhD programme in Engineering Education. In 2020 IEEE Global Engineering Education Conference (EDUCON) (pp. 359-363). IEEE.5. Denecke, D., Kent, J., & McCarthy, M. T. (2017). Articulating learning outcomes in doctoral education. Washington, DC: Council of Graduate Schools.6. S. Singer and K. A. Smith, “Discipline‐Based education research: Understanding and improving learning in
enterprises (SMEs). Information & Computer Security, 2019. 27(3): p. 393-410.17. Ponomareva, O., et al. Global Training of Professionals in the Area of Information Security. in 2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). 2020. IEEE.18. Dutta, N., et al., Design of a virtual cybersecurity lab. Cyber Security: Issues and Current Trends, 2022: p. 143-157.19. Tong, Y.J., W.Q. Yan, and J. Yu, Analysis of a secure virtual desktop infrastructure system. International Journal of Digital Crime and Forensics (IJDCF), 2015. 7(1): p. 69-84.20. Rehman, A., et al., Virtual machine security challenges: case studies. International Journal of Machine Learning
track their progress. Five weekly lab sessions were dedicated to workingon this project. Groups wrote informal weekly memos about their plans for the upcoming week.The instructor also met with each team during the lab sessions for 15-30 minutes every week toconfirm progress and offer technical advice.On the test day, all five water treatment plants were operational. Water quality and quantity wereevaluated, as well as component functionality and leaks. Turbidity and residual chlorine weretested three times throughout the test day. Four of five teams successfully met the water qualityrequirements, while only three plants produced at least 15 gallons due to significant leaks in theplexiglass basins. This session was followed up with a short (8-10
would need to take into consideration to begin to address the problem. 3. Who are the major stakeholders and what are their perspectives? 4. What are the potential impacts of ways to address the problems raised in the scenario? 5. What would be the team’s course of action to learn more about the primary and secondary problems? 6. What are some important unknowns that seem critical to address this problem?You need not develop specific technical solutions. Just agree on what factors are mostimportant and identify one or more viable ways to address the problem.The student discussions may be conducted live in the classroom, in real-time using on-linediscussion groups, or asynchronously using chat features of course management
Professor at the Department of Multidisciplinary Engineering, Texas A and M University, College Station. She received her Ph.D. in Engineering Education from the School of Engineering Education, Purdue University, USA. The Department of Energy, National Science Foundation, and industry sponsors fund her research. Her research potential and the implication of her work are recognized through national and international awards, including the 2023 NSTA/NARST Research Worth Reading award for her publication in the Journal of Research in Science Teaching, 2023 New Faculty Fellow award by IEEE ASEE Frontiers in Education Conference, 2022 Apprentice Faculty Grant award by the ERM Division, ASEE, and 2020 outstanding researcher
enterprise/technical data package summit report. NIST Technical Note, 2012. [2] Model based enterprise report 2019 - global market outlook 2017-2026 - researchandmarkets.com, 2019. URL https://www.businesswire.com/news/home/20190328005548/en/Model-Based- Enterprise-Report-2019---Global. [3] Global model based enterprise market - industry analysis and forecast (2020-2027) - by deployment type, offering, industry and region. Technical report, 2020. URL https://www.maximizemarketresearch. com/market-report/global-model-based-enterprise-market/26999/. [4] Manas Bajaj and Thomas Hedberg Jr. System lifecycle handler - spinning a digital thread for manufacturing. In INCOSE International Symposium, volume 28, pages 1636–1650. Wiley
. Benjamin Dinan on the classroom clay produced by WKU’s ceramics department, testing the compression strength, and identifying the mechanical properties through the manufactured clay’s microstructure.Mr. Nathaniel Burris, Western Kentucky University Nathaniel Burris is a rising senior at Western Kentucky University where he studies Mechanical Engi- neering. There, he helps with undergraduate research in the Thermal-Fluids Laboratory. He is currently an engineering intern at Globe Electric. He is the vice president of the ASME student chapter at WKU, a member of Tau Beta Pi, and an Eagle Scout. ©American Society for Engineering Education, 2023 Measuring the Drag Forces on Corvette Car
Paper ID #37529Writing in discipline-appropriate ways: An approach to teachingmultilingual graduate students in mechanical engineeringMr. Xixin Qiu, Pennsylvania State University Xixin Qiu is a doctoral candidate in Applied Linguistics at The Pennsylvania State University. His re- search concerns the application of corpus-based linguistic analysis to engineering writing pedagogy. Cur- rently, he teaches both freshman and graduate-level academic writing to international students and serves on the Student Editorial Board of English For Specific Purposes. ©American Society for Engineering Education
., Dewar, M., Della Sala, S., & Wolbers, T. (2015). Rest boosts the long‐termretention of spatial associative and temporal order information. Hippocampus, 25(9), 1017-1027.2. Rudolph, J. (2018). Lang, JM (2016). Small teaching. Everyday lessons from the science oflearning. San Francisco: Jossey-Bass.3. Tran, V. D. (2014). The effects of cooperative learning on the academic achievement andknowledge retention. International journal of higher education, 3(2), 131-140.
more than $17 million in external funding, including grants from the National Science Foundation, the U.S. Department of Energy and the U.S. Department of Defense in the domain of vibration, control and acoustics. He is the author or co-author of more than 350 peer-refereed technical publications, including 135 journal papers, two textbooks and five book chapters. A fellow of the American Society of Mechan- ical Engineers, Jalili has chaired numerous society committees and edited several engineering academic journals. In addition, he is the recipient of more than 30 international, national and institutional awards for his research, leadership, teaching and service. In his four years as the Head of Mechanical Engineering
Review of Case Studies and Projects," in 15th LACCEI International Multi- Conference for Engineering, Education, and Technology, Boca Raton, 2017.[4] C. F. Murphy, D. Allen, B. Allenby, J. Crittenden, C. I. Davidson, C. Hendrickson and H. S. Matthews, "Sustainability in Engineering Education and Research at U.S. Universities," Environmental Science & Technology, pp. 5558-5564, 2009.[5] American Society of Civil Engineers, "Policy statement 418 - The role of the civil engineer in sustainable development," 6 June 2023. [Online]. Available: https://www.asce.org/advocacy/policy-statements/ps418---the-role-of-the-civil-engineer- in-sustainable-development. [Accessed 3 January 2024].[6] ABET Engineering Accreditation
aretypically more beneficial than 3-D ones. Yet, GPT-4o cannot generate high-quality,professionally relevant mechanical engineering diagrams. These challenges emphasize GPT-4o'scurrent limitations in generating professional technical illustrations. Consequently, it is not yetsuitable for applications in instructional settings or as a reliable tool for generating professionalmechanical engineering diagrams.4.2 Inter Rater Reliability To evaluate the consistency of ratings between two different professors and between Dr.B (the baseline) and GPT-4o, we adopted Cohen’s Kappa as the metric [36]. Cohen’s Kappameasures the inter-rater reliability of two or more raters while also accounting for the possibilityof chance agreement. The formula for
), 2) solving the problem in ways potential customers will value(Value Proposition), and 3) using technically creative, efficient, and effective (and cost-effective)technology (Technical Merit) [16, 17].Typically, an engineering capstone course requires students to complete a comprehensiveinnovative project, which prepares students with professional knowledge and skills for workingin “a competitive global economy” [14, p. 143]. In a competitive, global economy, lively teamdynamics are valued to the extent that they result in effective, commericializable, outcomes.Theodore Levitt (cited by Andrew and Sirkin, 2003) said, “The fact that you can put a dozeninexperienced people in a room and conduct a brainstorming session that produces exciting
-edge technical topics; and (3) highlighting theneed to increase participation of industry in professional training of graduate students.Introduction and background:Workforce development for graduate students is a subject of considerable research, yet preparinggraduate engineering students for workplace success remains a challenge for universities.According to the U.S. Bureau of Labor Statistics, 188,000 openings for architecture andengineering occupations and 377,500 openings for computer and information technologyoccupations are projected from 2022 to 2032, with little information as to whether these positionswill be filled by then [1][2]. In order to contribute to students’ individual career success andbroader societal advancement, workforce
relationship to the real world content. It was trying to help students move beyond the technical content of equations and theory to see why this information mattered for real life.Our objectives were to see if the story-telling and reflexive activities 1) led to a internalizationacross multiple lectures of the subject matter of the class, 2) resulted in most writers developingcomplex ethical twists that might mirror real life scenarios, and 3) in their collective analysiscould be used to strengthen the course in future semesters.ApproachWhy storytelling? In many ways the way we implement it flips the classroom. We do not give aclassic case report with a known ending and have the students each write about it. We wanted thestudents to “own
leadership, the college has established an award-winning Global Engineering Fellows Program, launched Penn State’s first 3+1+1 program for international students to pursue a one-year master’s degree, and initiated new interdisciplinary faculty-led study abroad programs. Additionally, he has worked for the Federal government, served on foreign language faculty, and led multiple study abroad programs. Tunno earned an M.B.A. at SDA Bocconi University (Milan, Italy) and a Ph.D. from Penn State, with his research focused on the development of global competencies through study abroad programs.Dr. Christine B. Masters, Pennsylvania State University Christine Masters is the Assistant Dean for Academic Support and Global Programs
upon her diverse interests in design, teaching, and social justice in her research work in physical ergonomics and engineering education at the Cen- ter for Engineering Education and Outreach (CEEO). Sarah earned a Bachelor’s Degree in Mechanical Engineering and Engineering Design from Northwestern University.Mr. Leonardo Andres Madariaga, Tufts Center for Engineering Education and Outreach / Tufts UniversityCenter for Engineering Education and Outreach / Federico Santa Maria Technical University Leonardo Madariaga is a graduate student in the Center for Engineering Education and Outreach (CEEO) at Tufts University in Medford, MA. He graduated as a Product Design Engineer in 2006 from Federico Santa Maria Technical
faculty that had an opinion onthe level of consideration given to graduate student mentoring for tenure, 47% stated that itshould be a more important consideration.A four-part seminar series was held over the Fall 2022 semester to inform students aboutmentorship resources on campus and address complex topics. The series included: (1) IDPcreation, implementation, and other vital resources for graduate student success; (2) guestspeaker on the topic of Navigating Toxic Mentoring Environments; (3) discussion on effectivementorship with a panel of Purdue mentoring awardees; and (4) panel discussion on theimportance of diversity, equity, and inclusion considerations in mentorship. Follow-up surveysafter each seminar showed that 91% of attendees gained