Multirobot Systems," in IEEE Control Systems Magazine, vol. 40, no. 1, pp. 26-44, Feb. 2020.20 Vega L., Buscaron, C., Schwartz, E. M. and Arroyo, A. A., “MILyBots: Design and development of swarm robots”, Machine Intelligence Laboratory, University of Florida, 200821 Madni, A & Jackson, S., “Towards a Conceptual Framework for Resilience Engineering”, Systems Journal, IEEE, 2009 3. 181 - 191. 10.1109/JSYST.2009.2017397.22 E. Stachew, T. Houette, and P. Gruber, “Root Systems Research for Bioinspired Resilient Design: A Concept Framework for Foundation and Coastal Engineering,” Frontiers in Robotics and AI, vol. 8, Apr. 2021, doi: https://doi.org/10.3389/frobt.2021.548444.23 M. E. C. Bento, “Design of a Wide-Area Power
’ Laboratories of Canada (ULC), CanadianGeneral Standards Board (CGSB), Accessibility Standards Canada (ASC), and the Bureau denormalization du Québec (BNQ). SCC accredited international SDOs include, among others, theAir-conditioning, Heating, and Refrigeration Institute (AHRI), ASTM International, CompressedGas Association (AGA), IEEE, and NSF International. CSA maintains more than 3,000 activestandards and codes in 57 sectors. In addition to developing standards, CSA also provides testingand certification services.ULC is the second oldest SDO operating in Canada. Established in Chicago in 1894, UL beganoperating in Canada in the early 1900s. In 1920, ULC was incorporated in Canada to meet thegrowing demand for safety standards and testing services
©American Society for Engineering Education, 2025 Paper ID #46014 combination of engineering, AI, art and humanities, and raised interest among the worldwide press, including the Wall Street Journal and the BBC.Prof. Eiji Kamioka Prof. Eiji Kamioka (Member, IEEE) received the B.S., M.S., and D.S. degrees in physics from Aoyama Gakuin University. He is currently working as a Professor and a member of the Dean Office of College of Engineering at the Shibaura Institute of Technology (SIT). He also leads initiative of implementing COILs at SIT. Before joining the SIT, he was worked at the SHARP Communication Laboratory, Institute
. Kolb, Experiential Learning: Experience as the Source of Learning and Development. Englewood Cliffs, NJ: Prentice-Hall, 1984.[15] K. Shabani, M. Khatib, and S. Ebadi, “Vygotsky’s Zone of Proximal Development: Instructional Implications and Teachers’ Professional Development,” English Language Teaching, vol. 3, no. 4, Nov. 2010, doi: 10.5539/elt.v3n4p237.[16] C. A. Jara, F. A. Candelas, S. T. Puente, and F. Torres, “Hands-on experiences of undergraduate students in Automatics and Robotics using a virtual and remote laboratory,” Comput Educ, vol. 57, no. 4, pp. 2451–2461, Dec. 2011, doi: 10.1016/j.compedu.2011.07.003.[17] Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006; 3
experiences in introductory STEM courses, student learning in the chemistry teaching laboratory, and faculty professional development related to teaching.Charles Ruggieri, Rutgers, The State University of New JerseyCorey Ptak, Columbia University in the City of New YorkStacey Blackwell, Rutgers, The State University of New JerseyGabriel Lopez Zenarosa, Stony Brook University Gabriel Zenarosa (he/him) is an Associate Professor of Practice at the College of Business at Stony Brook University. He has over seven years of higher-education teaching experience and holds an ACUE Certificate in the Effective Teaching Practice Framework. He also has over eight years of industry experience, working as a software quality assurance test
. New York: Routledge, 2014. doi: 10.4324/9781003447061. [5] M. Townsley and D. Schmid, “Alternative grading practices: An entry point for faculty in competency-based education,” The Journal of Competency-Based Education, vol. 5, no. 3, Sep. 2020, doi: 10.1002/cbe2.1219. [6] W. J. Howitz, K. J. McKnelly, and R. D. Link, “Developing and Implementing a Specifications Grading System in an Organic Chemistry Laboratory Course,” J Chem Educ, vol. 98, no. 2, pp. 385–394, Feb. 2021, doi: 10.1021/acs.jchemed.0c00450. [7] W. Howitz, K. McKnelly, and R. Link, “Delving into the Design and Implementation
tasks, such as working oncars and homes. This response highlights a crucial point: engineering problem-solving is notconfined to a classroom or laboratory setting. José’s family experiences with car repair and homeimprovement reflect the type of practical, applied engineering work that is integral to manycommunities, particularly in trades and skilled labor. When José describes his father’s work, heexplains the process of buying a car for a small amount, fixing it, and then selling it for a higherprice. This process mirrors key engineering principles, such as design, repair, and optimization,and it highlights how students can connect real-world problem-solving with the academic contentthey encounter in the classroom. Moreover, this example also
. In particular, the sustainability of earthen materials was highlighted (e.g., low CO 2emission, better thermal properties, low energy demand, etc.). An experimental testing lab session,“compression testing of compressed earth blocks,” was introduced to the students. Theresearchers/instructors collaborated with ECI for the acquisition of earth blocks and the design of thetesting procedure. The experimental testing of specimens was conducted by the students and theywere required to analyze the results and prepare a technical laboratory report. The inclusion of thisexperimental testing offers students hands-on (experiential) learning opportunities to enhance theirunderstanding of sustainable construction materials and how they can be
, while puzzle games primarily enhancemotivation and critical thinking skills [27].Physics EducationGamification for physics education is commonly implemented in the form of non-serious playwhereby lectures are supplemented by online laboratories. Physics Education Technology(PhET) is one of the most used examples of this [28] [29]. PhET consists of a set of manyindividual simulations that allow the user to modify various elements, such as the coefficients asystem operates on or the elements included in the simulation. One example, of many [30], ispresented in Figure 3 whereby experimentation of capacitor variables can be explored. Thesesimulations represent a method for educators to easily allow students to experiment safely [29
Issues in Engineering Education and Practice, 144(2), 04017017. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000360Cardon, M. S., Gregoire, D. A., Stevens, C. E., & Patel, P. C. (2013). Measuring entrepreneurial passion: Conceptual foundations and scale validation. Journal of Business Venturing, 28(3), 373–396. https://doi.org/10.1016/j.jbusvent.2012.03.003Cox, D. (2017). Development of Hands-on Laboratory Resources for Manufacturing Engineering. Annual Conference and Exposition. American Society for Engineering Education.Da Silva, G., De Barros, M., & Costa, H. (2015). Entrepreneurship in Engineering Education: A Literature Review. International Journal of Engineering Education, 31(6A), 1701–1710
established on day 1 to determine theconcentration of three unknown samples. Students use the spectrophotometer to measureabsorbance of three unknown samples. They use the concentration curve equation to calculateconcentrations, compare predicted concentrations with actual values, and calculate percentageerror.AssessmentTeams are asked to reflect on the process and explain the percentage error in their calculations.To emphasize the importance of proficiency in Excel, each student is asked to submit their ownExcel file.This project integrates concepts from chemistry, physics, and data analysis, providing hands-onexperience with laboratory techniques and analytical methods used in pharmaceutical research. Itemphasizes the importance of precision, data
Education,Institute of Education Sciences, National Center for Education Evaluation and RegionalAssistance, Regional Educational Laboratory.
2024, researchers from engineering education and human resources management in technological development laboratories conducted a thematic analysis of reported incidents to identify patterns, trends, and areas for improvement. The analysis aims to uncover the most common types of disciplinary incidents, underlying causes, and implications for the field in how engineering education addresses (or fails to address) these issues. Our findings identify recurring themes, analyze root causes, and offer recommendations for engineering educators and students to mitigate simi- lar incidents. This research has implications for informing curriculum development, professional development, and performance evaluation
Paper ID #47660Characterizing student adoption of generative AI in technical communicationcoursesProf. Angela Lai, Tufts University I am a current Assistant Teaching Professor in the Department of Biomedical Engineering at Tufts University. I am involved in mentoring students in both the laboratory and in the classroom and am the program director for the capstone for seniors and engineering design process for juniors.Prof. Kavon Karrobi, Boston University Kavon Karrobi is a Lecturer in the Department of Biomedical Engineering, as well as the Manager of the Bioengineering Technology & Entrepreneurship Center (BTEC) at
integrate research-based pedagogies into their teaching. Byunderstanding how GTA identities evolve, this study contributes to the creation of more effectivePD programs that support GTAs as they transition into skilled educators.IntroductionGraduate Teaching Assistants (GTAs) play a pivotal role in undergraduate STEM education,serving as instructors in laboratories and recitation sections of large introductory courses. GTAsnot only deliver instructional content but also support student engagement and foster activelearning strategies that are vital for effective education. Structured professional development (PD)programs, such as pre-semester workshops, are often implemented to help GTAs navigate theirteaching responsibilities, improve their
recognitions, including being recognized as one of the 23 most powerful women engineers in the world by Business Insider and one of the Top 50 U.S. Women in Tech by Forbes. In 2013, she also founded Zyrobotics, which developed STEM educational products to engage children of all abilities. Prior to Georgia Tech, Dr. Howard was at NASA’s Jet Propulsion Laboratory where she held the title of Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist. ©American Society for Engineering Education, 2025 Engaging Engineering Students in Experiential Learning through Robot Droids and K-12 Outreach (Evaluation)AbstractIn this full evaluation paper, we discuss a study that
cleaners had fundamental engineering power management design andimplementation faults (e.g., exposed metal parts, poorly insulated wiring, lack of grounding andsafety features) that literally shocked (electrically) many users. This naturally resulted in a levelof individual and public social distress, which in turn initiated public pressure for safetyimprovement. In response to this, and other alarming public technology product safety concerns,Underwriters Laboratories (UL) an independent agency for product assessment was created. ULprofessional engineers would study a product’s design regarding varied performance qualitieswith specific attention to safety, devised tests, and upon successful assessment, grant the famousUL approval certification
engineering education and industry needs to support ethical, lifelong learning across diverse engineering pathways.Dr. Dayoung Kim, Virginia Polytechnic Institute and State University Dr. Dayoung Kim is an Assistant Professor of the Department of Engineering Education (College of Engineering) at Virginia Tech and a Director of the LABoratory for Innovative and REsponsible ENgineering workforce (LAB-IREEN). She conducts research in engineering practice and workforce development (e.g., practices and experiences of, and competencies required for, engineers in various employment settings, such as business organizations and government agencies; workforce challenges and opportunities from emerging technologies, such as
Florida. She received her B.S., M.S., and Ph.D. in Industrial & Manufacturing Engineering from Penn State University. Prior to UF, she served as the Kate Gleason Professor and Department Head of Industrial and Systems Engineering at the Rochester Institute of Technology (RIT). In addition, she was a member of the faculty and Associate Chair in the Department of Industrial and Manufacturing Systems Engineering at Iowa State University. Her research group iMED (Interdisciplinary Manufacturing Engineering and Design) laboratory specializes in research to design scalable hybrid manufacturing techniques of a wide array of material systems ranging from biopolymers, metal alloys, and concrete. Her research
Electrical Engineering at the Georgia Institute of Technology. He received his Bachelor of Science degree at University of California, Los Angeles. His primary interests involve machine learning and circuit design.Dr. Ying Zhang, Georgia Institute of Technology Dr. Ying Zhang is a Professor and Senior Associate Chair in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. She is the director of the Sensors and Intelligent Systems Laboratory. Her research interests are centered on systems-level interdisciplinary problems across multiple engineering disciplines, with AI-enabled personalized engineering education being one of her current research focuses
2013 AIChE Annual Meeting: Global Challenges for Engineering a Sustainable Future, p. 13, AIChE, 2013.19.H. Shen and J. Gargac, "Enhancing Student Engagement in Engineering Materials Science Using KEEN Mindset in Laboratory Activities," in ASEE Annual Conference and Exposition, Conference Proceedings, 2022.20.B. Tribelhorn, H. Dillon, A. Nuxoll, and N. Ralston, "Using Active Learning to Connect Entrepreneurial Mindset to Software Engineering," Computers in Education Journal, vol. 14, no. 1, 2024.21.V. Vijayan, S. A. Barclay, M. E. Reissman, and T. Reissman, "Impact of Scaffolding and Hands-On Assignments Within Mechatronics on Student Learning Outcomes of KEEN's Entrepreneurial Mindset," International Journal of
are the Founding President of the Policy Advocacy in Science and Engineering (PASE) student organization and Vice President of the Engineering Education Graduate Student Council at the University of Florida.Dr. Nancy Ruzycki, University of Florida Dr. Nancy Ruzycki, is the Director of Undergraduate Laboratories and Faculty Lecturer within the Department of Materials Science and Engineering at the University of Florida Herbert Wetheim College of Engineering. Her focus is on developing curriculum, professional development and coaching models focused on use of system thinking and conceptual pedagogical practices. ©American Society for Engineering Education, 2025Development of K-12 STEM Teacher
format were consistent with manyof the same themes that occurred in the previous in-person visitation format, including thedevelopment of virtual laboratory, facilities and building tours. Unlike the in-person format,which relied on faculty recommendations, the online format allowed a broader range of studentsto join, lowering barriers to participation and expanding access to key elements of graduateschool preparation. This also increased participant numbers as well as accessibility andflexibility for participants, as they could log in from any location with a reliable internetconnection. A benefit was the implementation of new technology that emerged during theCOVID-19 pandemic. For two years of the early mini-conference format there was
putblished on MIT OpenCourseWare: SP.248 NEET Ways of Thinking and Defining real-world problems with the D.I.S. method.Dr. Gregory L. Long, Massachusetts Institute of Technology Gregory L. Long, PhD is currently the Lead Laboratory Instructor for NEET’s Autonomous Machines thread at the Massachusetts Institute of Technology. He has a broad range of engineering design, prototype fabrication, woodworking, and manufacturing experienceDr. M. Mehdi SalekDr. Amitava ’Babi’ Mitra, Massachusetts Institute of Technology Amitava ’Babi’ Mitra linkedin.com/in/babimitra|+1-617-324-8131 | babi@mit.edu Dr. Amitava ’Babi’ Mitra is the founding Executive Director of the New Engineering Education Transformation (NEET) program at MITSarah
one of the mostpressing concerns in educational institutions. According to research by Sleem and Elhenawy [13],many institutions struggle with the substantial computing resources required to support advancedAI applications effectively. High processing requirements make real-time AI simulationsparticularly difficult for many educational settings, where computational infrastructure wasdesigned for basic applications rather than intensive AI workloads. Students attempting to runmultiple simultaneous simulations during laboratory sessions often encounter significantprocessing delays that disrupt the learning experience. Their study reveals that the costs associatedwith software licensing, hardware requirements, and ongoing maintenance can pose
environmental engineering values applied in EENV102 via a team-based project focused on waste management. The integrated course contentincluded systems thinking, sustainability, environmental engineering ethics, social justice,teamwork, material life cycle assessment, and technical content related to waste streams andmanagement methods. Discussions of waste production and waste disposal are fertile ground forexploring ethical conflicts and the disproportionate impacts that marginalized communitiesexperience with respect to pollution and environmental degradation. The project in the initialcourse offering was a life cycle assessment (LCA) of four laboratory waste streams. Studentspresented their final projects in a public poster session to highlight the
fleets of autonomous vehicles, the trust that humans and machines place in oneanother becomes a non-negotiable pillar of responsible deployment. Yet most universitycurricula still treat trust as a slogan— “be transparent, be fair”—rather than as anengineerable property revealed through systematic reasoning. This conceptual paperproposes the Prisoner’s Dilemma (PD), the classic example of Game Theory, and its well-studied variants as a compact laboratory for cultivating trust-centred AI literacy across AI-related majors, from computer science and data science to electrical engineering andhuman–computer interaction. Synthesising findings from behavioural game theory, multi-agent reinforcement learning, and human–AI trust research, we (i) construct
viableproducts as quickly as possible. The mission of I-Corps is to reduce the risk associated withtranslating technologies from the laboratory to the marketplace. To date, the NSF I-Corps hasproduced 1357 startup companies, which have cumulatively raised $3.16 billion in subsequentfunding [31].Central to the NSF I-Corps is the application of the “lean startup” approach developed by SteveBlank and other technology entrepreneurs [32]. The lean startup involves a “customer discovery”phase. Customer discovery centers around unstructured and unscripted in-person interviews ofpotential customers to discover actual customer needs. Frequently, unexpected insights emergefrom customer interviews. Customer discovery helps refine product-market fit and ensure
and lectures for the Division of Engineering Programs at SUNY New Paltz. He primarily develops curriculum for mechanical engineering laboratory courses, and is interested in promoting STEM education in local K-12 communities.Brandon Gardner, State University of New York at New Paltz ©American Society for Engineering Education, 2025Integrated Wind Turbine Blade Design Education: Combining Theory, Simulation, CAD, and Experimental Testing 1. IntroductionRenewable energy is becoming an increasingly popular source of electricity due to its eco-friendliness, cost-effectiveness, and sustainability. For instance, in October 2023, GovernorKathy Hochul announced the nation's largest-ever
. 43–61, Feb. 2014, doi: 10.1177/0894845312472254.[17] K. R. O’Brien, S. T. McAbee, M. R. Hebl, and J. R. Rodgers, “The Impact of Interpersonal Discrimination and Stress on Health and Performance for Early Career STEM Academicians,” Front. Psychol., vol. 7, Apr. 2016, doi: 10.3389/fpsyg.2016.00615.[18] T. Rolle et al., “Toxic stress and burnout: John Henryism and social dominance in the laboratory and STEM workforce,” Pathog. Dis., vol. 79, no. 7, p. ftab041, Sep. 2021, doi: 10.1093/femspd/ftab041.[19] I. H. Settles, N. T. Buchanan, and K. Dotson, “Scrutinized but not recognized: (In)visibility and hypervisibility experiences of faculty of color,” J. Vocat. Behav., vol. 113, pp. 62–74, Aug. 2019, doi: 10.1016