stages of the design process, as it allows them toproduce, modify, and refine ideas rapidly [1]. In computer aided design (CAD) education, thisprocess enhances students’ spatial visualization skills [2], as well as improves theircommunication with colleagues when the visualization tool is shared [3]. In particular, freehandsketching [4], or “a sketch done with only the hand and a pencil or pens”, is the quickest way tocommunicate technical information [5], [6]. It allows students to quickly visualize the problem,consider design options, and identify questions where more information is needed [7]. Thesepositive effects of freehand sketching on the design process have led to an improvement on thequality of the design outcomes [8]. As a result
, chapters, and research articles, and presents her research regularly through American Society for Engineering Education Pre-College Engineering Education Division, a division she has chaired. Her current research includes investigating how K-5 students experience design failure and engage in redesign; how simulated classroom environments can be used to help pre-service and in-service teachers practice facilitating argumentation discussions in science and engineering; and how close analysis of student work samples and classroom discussion transcripts can support pre-service teachers’ learning to notice.Prof. Manuel Alejandro Figueroa, The College of New Jersey Dr. Manuel Figueroa is an Associate Professor and chair of
extracurricular learning opportunities and hands-on supplements to traditional courseinstruction. The following paper describes the integration of a Formula SAE (FSAE) teamproject into a junior-level mechanical engineering experimentation course; it represents one ofnine projects in this course.The first half of the course is divided into modules that, for all students, progressively address: 1)the measurement chain and laboratory best practices using pre-existing experiments, 2) sensordesign, selection, and calibration, 3) statistical data analysis and uncertainty limits, and 4)technical communication skills. The second half tasks student teams to propose, design, build,and carry out an original experiment to an engineering problem they perceive can
, as well as students’ non-technical skills, skillsthat may or may not be a part of their technical coursework [3], [4], [5], [6]. While Simmons et al do not list the development of an entrepreneurial mindset (EM), anengineering competition is potentially a rich environment in which students can acquire EM. Forexample, the ASME Human-Powered Vehicle Challenge describes the nature of the challenge inthis way: Human-powered transport is often the only type available in underdeveloped or inaccessible parts of the world, and if well designed, can be an increasingly viable form of sustainable transportation. ASME's international Human Powered Vehicle Challenge (HPVC) provides an opportunity for students to demonstrate the
. The haptic motor used in this project is a DC 3 Volts/0.1 Amps and its dimensions are 10millimeters x 2.7 millimeters. Typically, there are two types of vibration motors that are commonly used, aneccentric rotating mass vibration motor (ERM) and a linear resonant actuator (LRA). The ERM “uses a smallunbalanced mass on a DC motor; when it rotates it creates a force that translates to vibrations.” The LRA“contains a small internal mass attached to a spring, which creates a force when drive.” For this project, ERMcoin motors were used. The original plan was to use one haptic motor in the glove as the alarm, however, wedecided to use two—one placed on either side of the wrist so that one would vibrate in accordance with whichsensor was detecting
Paper ID #42852Leveraging Open Source Tools to Teach Quantum Computing Foundations:Bridging the Future Workforce Gap in the Quantum EraDr. Radana Dvorak, Saint Martin’s University Radana Dvorak Ph.D. has worked as a researcher, professor, dean, consultant, and program architect. Her Ph.D. in CS-AI and MSc-AI from the UK, and BA from the University of Michigan, have led her to the UK, US, and the Cayman Islands. Radana spent time in the software industry, headed a VC-funded company bringing her PhD work to market, served on government, university strategic planning committees, and international fellowships; she was one of the
protocol provided here may not revive adead battery, but generally the Lawrence Tech process is as follows: 1) Using a high internal resistance multi-meter determine if the lead-acid battery has any residual voltage, if not, then it may not be a successful candidate for this process. 2) Using a DC power supply, bring the input voltage up to 15 to 18 volts for 2 to 4 minutes (note that voltages in this range can result in electrolysis of the battery electrolyte, so this should not be done over prolonged periods of time and must not be left un-attended) and then turn off the voltage for a similar amount of time. 3) Check to see if any increase in voltage is observed. 4) Repeat steps 2 and 3 for four to
intelligence and digital ethics, and digital education evaluation, and buildingan international platform for digital education exchange and cooperation. Promote thecommon development of education around the world. At the same time, the development of digital technology and related products hascreated technical support for the dissemination of educational information, enrichededucational resources and technical means, and further promoted the digitaltransformation of education in terms of hardware facilities and educational methods.The application of the Internet and AI technology in the field of education haspromoted the reform of the teaching model and spawned new teaching models such asMOOCs and flipped classrooms. The integration of digital
in their own ways.Dr. Benjamin Ahn, The Ohio State University Dr. Benjamin Ahn is an Associate Professor at The Ohio State University in the Department of Engineering Education. ©American Society for Engineering Education, 2024 Re-imagining Behavioral Analysis in Engineering Education: A Theoretical Exploration of Reasoned Action ApproachIntroductionAs a discipline, Engineering Education continues to expand its reach, and subsequently, itsmethods of analysis. Integrating research from the behavioral sciences and psychology hasenhanced researchers’ capacities to explore the intricate and multifaceted behaviors inherent toengineering practice and education [1], [2], [3]. These
, no. 2 (2006)[5] Behrendt, M., & Franklin T. “A review of research on school field trips andtheir value in education,”. International Journal of Environmental and ScienceEducation, vol. 9, no. 3, pp. 235-245, 2014.[6] J. E. Reimers, C. L. Farmer and S. Klein-Gardner, "An introduction to the standards forpreparation and professional development for teachers of engineering," Journal of Pre-CollegeEngineering Education Research (J-PEER), vol. 5, no. 1, pp. 40 – 60, 2015.[7] "Teach Engineering", teachengineering.org, 2019. [Online]. Available:https://www.teachengineering.org/ [Accessed: 12-Dec-2019].[8] “Engineering is Elementary”, eie.org, 2019. [Online]. Available: http://eie.org/ [Accessed:12-Dec-2019].[9] “2016 Massachusetts Science
elementary grades. With the increased emphasis on improved teaching and learning of STEM disciplines in K-12 classrooms, Tank examines how to better support and prepare pre-service and in-service teachers to meet the challenge of integrating STEM disciplines in a manner that supports teach- ing and learning across multiple disciplines. More recently, her research has focused on using literacy to support scientific inquiry, engineering design, and STEM integration.Dr. Monica E Cardella, Purdue University at West Lafayette Monica E. Cardella is a Program Director with the Division of Research on Learning at the National Science Foundation. She is also a Professor of Engineering Education at Purdue University
the 3+ tracks that each project has (i.e.geotechnical, environmental, transport and if required other disciplines of engineering). Forevery team, there was a team leader, and each track had a student leader as well. In addition,each track had a lecturer that was consulted on technical issues associated with that aspect ofthe project. A researcher, in consultation with the course coordinator, advised on thedevelopment of the implementation of the model, supervised the development of teamworkskills, provided teamwork training and helped with conflict resolution.To ensure that students understood their roles and the purpose of the teamwork model, theyreceived teamwork training in the first week of classes. In addition, students were invited
Nuclear Society (ANS), and a student branch advisor for the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE).Mr. Bruce Allen Peterson, Minnesota State Energy Center of Excellence Bruce Peterson Dean for Energy Technologies Executive Director, Minnesota State Energy Center of Excellence Minnesota West Community and Technical College Bruce has been engaged in higher education for 40 years as a teacher, curriculum specialist, and admin- istrator. Over the past 24 years he served as Academic Dean at three colleges and as program director over several major grants. In his current position, Bruce is responsible for Energy related programs across Minnesota West campuses. At the state
scratch to understand the importance of building secure designs instead ofattaching security features later after building the system. In the absence of security design andimplementation techniques that systematically exclude security flaws, it is useful to have a set ofsecure design principles that can guide developing secure systems [3]. Secure design principles are essential security principles that are taught in computer securitycourses. Most computer security books cover these principles, and they provide scenariosexplaining how these principles are applied. The secure design principles as discussed in [3] and[4] are listed along with definitions as follows: • Economy of mechanism: The design of security measures embodied in both
teach computing courses use eclectic tools and fragmented workflowsto assess students’ competence on coding skills, in the recent years there has been a rise ininstructors opting for browser-based solutions that provide students immediate feedback on codecorrectness and other advanced code quality metrics. These solutions include: (1) online judges such as DomJudge [2], Judge0 engine [3], Sphere engine [4], etc., (2) interactive textbooks that support code writing and testing such as Zybooks [5], Runestone Academy [6], Revel [7], etc., (3) code autograders such as Gradescope [8], Zylabs [5], Codegrade [9], CodeRunner [10], homegrown autograders, etc. (4) cloud-based IDEs such as GitHub Codespaces [11], Replit [12], etc
distinct sections: 1. Instruction to Proposers for the Construction Management and Design Build Contract - This section includes information related to submittal instructions, issuing office, due date and time, terminology, site investigation, proposal security, clarification and addenda, multiple/alternative proposals, and incurred expenses. 2. Information Available to Proposers - This section is focused on the contract documents. 3. Proposal and Evaluation - This section is focused on the transmittal, the technical proposal, construction costs, construction schedule, project cash flow, proposal criteria, DB/CM team organization, key personnel, resumes, matrix of anticipated staff
engineering education [2], [3]. Despite thewidespread use of GenAI tools, they are still relatively new in engineering education. Thisintroduces uncertainties, including issues regarding ethics, accessibility, and algorithmic bias [2],[4]. There are also concerns around the lag between the rapidly growing uses of GenAI tools andthe current policies regarding their uses in engineering education [5], [6].In addition to ChatGPT, there have been other GenAI and large language model (LLMs) basedtools, with widespread uses for students, educators, and researchers in engineering education [2],[3]. This has created opportunities for innovation within engineering education along withchallenges of using them in learning environments [3]. Due to the recent
her teaching and student advising, includ- ing the 1938E College of Engineering Award, the Thomas M. Sawyer, Jr. Teaching Award, the U-M ASEE Outstanding Professor Award, the International Teaching with Sakai Innovation Award, and the College of Engineering Outstanding Student Advisor Award. Aileen has worked in the private sector gaining ex- perience in biotech, defense, and medical device testing at large companies and start-ups. Aileen’s current research areas include entrepreneurship engineering education, impact and engaged learning. Aileen has a Bachelor’s of Science in Engineering from the University of Pennsylvania, a Doctorate of Philosophy from The Johns Hopkins University School of Medicine, and a
’ technical skills and excitement about cybersecurity. From thisstudy, students founded their own association to pursue coursework in the cybersecurity field. Theassociation hosts multiple types of activities including peer-learning sessions that benefit studentsfrom participating in different hands-on activities.Using a community-based learning approach, authors in [8] describe the development andevolution of an interdisciplinary seminar course that provide a cornerstone design experienceaddressing the national academy of engineering grand challenges [9]. The study elaborates on thecollaboration between an engineer with expertise in biomedical engineering and design, and apolitical scientist with expertise in politics and gender of development in
. Mehra, D. A. (Denny) Gioia, and S. Borgatti, “Brokering Trust toEnhance Leadership: A Self-Monitoring Approach to Leadership Emergence,” in Knowledgeand Networks, vol. 11, J. Glückler, E. Lazega, and I. Hammer, Eds., in Knowledge and Space,vol. 11. , Cham: Springer International Publishing, 2017, pp. 221–240. doi: 10.1007/978-3-319-45023-0_11.[4] A. Speer, “Quantifying with words An investigation of the validity of narrative‐derivedperformance scores.” Personnel psychology, 2018.[5] X. M. Wang, K. F. E. Wong, and J. Y. Y. Kwong, “The roles of rater goals and rateeperformance levels in the distortion of performance ratings.,” Journal of Applied Psychology,vol. 95, no. 3, pp. 546–561, 2010, doi: 10.1037/a0018866.[6] S. B. Hunter, “The
Network Analysis (SNA) to answer their Research Questions (RQs) in currentor future studies, particularly for studies of large-scale networks. Over the last several decades,engineering educators have increasingly recognized the role interpersonal interactions play inshaping engineering student outcomes. These interactions span various modes, including online,face-to-face (f2f), student-to-student, student-to-instructor, and instructor-to-instructorinteractions [1], [2], [3]. Concurrent with this growth, the development of engineering educationas a discipline included an increasing number of engineering education researchers adoptingsociological research methods [4], [5]. Among these sociological research methods, SNA appliesnetwork theoretic
education and his areas of research include en- gineering design thinking, adult learning cognition, engineering education professional development and technical training. He is currently working on National Science Foundation funded projects exploring en- gineering design systems thinking and several GEAR UP STARS projects funded by the US Department of Education. He has extensive international experience working on technical training and engineering education projects funded by the Asian Development Bank, World Bank, and U.S. Department of Labor, USAID. Countries where he has worked include Armenia, Bangladesh, Bulgaria, China, Egypt, Macedo- nia, Poland, Romania, and Thailand. American
Engineering at Georgia Tech, focuses on advancing written, visual, and verbal communication skills. Her research centers on affect theory and its application to technical communication, specifically information design. Jill studies how to enhance the effectiveness of pedagogical documents by incorporating principles from affect theory. Through her work, she aims to empower students, fostering an environment where they actively shape their communication interactions, including teamwork and ethical discussions. By integrating these principles, she goes beyond traditional methods, ensuring that students not only learn but also take an active role in shaping their communication experiences.Dr. Christie Stewart, Georgia
. Research in Engineering Education Symposium (REES) 2015, Dublin, Ireland.3. Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Newbury Park, CA: Sage.4. Beddoes, K., Schimpf, C., & Pawley, A. L. (2013). Engaging Foucault to Better Understand Underrepresentation of Female STEM Faculty. ASEE Annual Conference, Atlanta, GA.5. Schimpf, C., Santiago, M. M., Hoegh, J., Banerjee, D., & Pawley, A. (2013). STEM Faculty and Parental Leave: Understanding an Institution’s Policy within a National Policy Context through Structuration Theory. International Journal of Gender, Science and Technology 5, no. 2: 102-125.6. Brawner, C. E., Orr, M. K., Ohland, M. W. (2014). The Accidental Engineer. ASEE
Femineer® Program is currently a three-year hands-on curriculum 1) Creative Robotics, 2)Wearable Technology, and 3) Pi Robotics. Each year is comprised of a 30 to 40-hour project.Creative Robotics focuses on Scratch programming by using the Hummingbird control platform.The robot structure is open-source and includes a controller board, sensors, motors, and realwiring. Wearable Technology concentrates on C programming with an Arduino chip controlplatform, sewing with conductive thread, and soldering. The focus of Pi Robotics is on RaspberryPi by using the Python programming language to build a robot and give tasks to the robot toperform. The skills that the Femineer® students are learning in the current three-year programentail skills that
. He is a certified IUCEE International Engineering Educator. He was awarded the ’Ing.Paed.IGIP’ title at ICTIEE, 2018. He is serving as an Associate Editor of the Journal of Engineering Education Transformations (JEET). He is interested in conducting engineering education research, and his interests include student retention in online and in-person engineering courses/programs, data mining and learning analytics in engineering education, broadening student participation in engineering, faculty preparedness in cognitive, affective, and psychomotor domains of learning, and faculty experiences in teaching online courses. He has published papers at several engineering education research conferences and journals
beimplemented across a wide range of courses both within and outside the School of Engineering.We aim to promote the understanding of professional and ethical responsibility and theincorporation of global, economic, environmental, and societal factors in design solutions [3]. Thesurvey has been a first step by our team to introduce the concept of social, cultural, and educationaldesign biases in a first-year engineering design course.In the Fall of 2021, we arranged a follow-up discussion session with the students after theysubmitted their surveys and their reflections on peer survey responses. With our digitized surveyresults, faculty presented key survey results in the following categories: (1) OverwhelmingCompatibility in Responses among All Groups
% 22% 22% 22% Multiple Races 10% 0% 1% 6% 4% Race International 0% 0% 3% 2% 2% Asian 0% 0% 3% 2% 2% Native Hawaiian 0% 0% 1% 0% 0% Unknown 0% 0% 0% 1% 1%The student academic performance results provide an optimistic view of the designed bridgecourse’s impact. The participants that fully engaged in the courses were motivated by the contentand the learning experiences. Courses were delivered in a
., " Integration of Mechatronics, Geospatial Information Technology, and Remote Sensing in Agriculture and Environmental Stewardship", Proceedings of 2006 International Mechanical Engineering Congress and Exposition (IMECE'06), November 5-10, Chicago, IL., 2006 2. Ford, T., Hartman, C., Mitra, M., and Nagchaudhuri, A., “Mission Planning and Ortho- Mosaicking of UAS Imagery for Remote Sensing in Precision Agriculture on Winter Wheat and a Subsurface Drip Irrigated Corn Field, Paper No 190075 Proceedings of ASABE International Meeting, July 7-10, Boston, MA 3. Nagchaudhuri, A., Hartman, C., Ford, T., and Pandya, J., “Recent Field Implementation of Contemporary and Smart Farming Technologies at University of Maryland Eastern
://onlinelibrary-wiley-com.prox.lib.ncsu.edu/doi/abs/10.1002/j.21689830.2012.tb01122.x.DOI: 10.1002/j.2168-9830.2012.tb01122.x.[3] B. Lutz and M. C. Paretti, "Exploring student perceptions of capstone design outcomes,"The International Journal of Engineering Education, vol. 33, (5), pp. 1521-1533, 2017.Available: https://dialnet.unirioja.es/servlet/articulo?codigo=6927186.[4] J. J. Pembridge and M. C. Paretti, "Characterizing capstone design teaching: A functionaltaxonomy," Journal of Engineering Education, vol. 108, (2), pp. 197-219, 2019. Available:https://onlinelibrary-wiley-com.prox.lib.ncsu.edu/doi/full/10.1002/jee.20259. DOI:10.1002/jee.20259.[5] S. Howe and J. Goldberg, "Engineering capstone design education: Current practices,emerging