button individual understanding of key lab concepts even if they 4didn’t get a chance to be heavily involved with the group request of student teams, but they will be encouraged to becompletion of the project. creative, especially with the mechanical aspects of the design, Battery drain was a constant issue during the first run of when approaching the realization of their car chassis. Thethe course. Students used combinations of AAA batteries, AA revised experiment kit will include the items listed in Table 2.batteries, and 9
year, the CyberCop company interaction honeypots and high-interaction honeypots, whereproduced the first product, Sting, which was later acquired by the low-interaction will provide fake services, and interactionNAI, in the end year the same year. In 1998, Martin Rash occurs with the attacker, giving you false information [3].created a honeypot for the U.S. government. In 1999, Lance Differing from low-interaction, high-interactionSpitzner created the Honeynet Project, along with a team of honeypots, will provide a real environment for the attacker,about fifty security experts [1]. where it can interact with both the operating system itself
impacts customer relationship opportunities, and wasted valuable information are the resultsmanagement with opportunities lost due to inaccurate of this disconnect. To maximize the potential of efforts drivencustomer information and ineffective personalization efforts. by data, companies need to have well-delineated keyInaccuracies within the data undermine the validity of performance metrics (KPIs) that are aligned with companypredictive analysis, causing companies to base their market strategies, obtain executive support, and embed analysis of theanalysis and financial projections on faulty assumptions. data into daily functions. In closing the gap between the two,Substandard data
World Resource Institute (WRI), have adopted life cycle thinking. As a result, thestakeholders are controlled to reduce the environmental impacts associated with their products.The LCA provides the quantitative and scientific bases for all the involved activities. Economic,environmental and social dimensions of sustainability need to be addressed in assessing thesustainability of a project, product, etc. Also, a scientifically based Sustainability Analysisnecessarily involves value judgments, assumptions, scenarios and uncertainties. Generally, LCAconsists of four steps including “Goal and scope”, “Life cycle inventory”, “Life cycle impactassessment” and “Interpretation” [1]. The LCA is typically restricted to environmental aspects,while
modules.FreeRange Computer Design Lab Activity Manual (FRCD LAM)The FRCD LAM primarily drives the incremental development of the RAT MCU. This manualcurrently contains eleven experiments and one “final project” description. The basic outline ofthe LAM is as follows: Two FSM-based experiments One disassembly experiment Three experiments for RAT modules: program counter, memories, ALU Three experiments incrementally assembly complete RAT MCU Two experiment involving interruptsThe first two experiments use FSMs to control external hardware that perform relatively basicoperations involving RAMs. These experiments emphasize the notion that a computer is simply aFSM controlling standard digital modules. The next experiment
manufacturing simulations and do not extend to otherapplications, such as decommissioning of hazardous plants, remote handling of hazardousmaterials, or working in hazardous environments to humans.A research project was developed to explore a novel application in human-robot integrationusing computer vision tools, OpenCV and Google’s MediaPipe, in Python to control a DOBOTMagician robotic arm with hand gestures. Preliminary results demonstrate successful handtracking, gesture interpretation, and corresponding robotic arm manipulation. The newcapabilities allow the students in the ME-150 class to develop simulations to remotely control theDOBOTs to work in hazardous environments, perform precise tasks gripping, transporting andpackaging hazardous
positive influence onsociety while providing viable solutions to existing problems. Students and engineers are required togo beyond technical aspect to create applicable values to make an impact on the world (CreatingValue, n.d.). Creating Value values, the influence on others rather than towards oneself through thedevelopment of a clear roadmap of achieving a goal and communicating that roadmap effectivelytowards any party involved. Students and engineers with this mindset can approach a problem with abig-picture approach in addition to creating actual advantages and meeting requirements (CreatingValue, n.d.).INCOSEThe system engineering framework by INCOSE starts by outlining the scope of the project whichinvolves the objective and the context
interventions, Progress maintenance | path optimization trackingCollaborative AI AI-powered Team projects, Peer Enhanced collaboration User adoption, TechnicalTools discussion boards, learning, Community (20%), Improved peer reliability, Integration with Group formation building feedback, Active workflows algorithms participation Table 1. Results Table following cross-institutional and student population data. 8Technical Implementation OutcomesDe Jong et al.'s (2013
pertinent to primary and secondary include specific goals for using AI in areas such aseducation, higher education, and engineering fields. personalized learning or teacher professionalRegarding educational and technological equity, open- development [6].source approaches to software and hardware projects,which are already revolutionizing product development IV. CONCLUSION(and product development education) globally (such asProcessing, Wiring, Arduino), should be applied to AI- Computer-based education is set to become a vital partbased systems and solutions. Whether AI is involved in of the 21st century, with AI playing a key role in thisthe future of engineering education will
in theconstraints are balanced, and mental images are externalized initial responses gathered from three classes: Human Factorsthrough sketches, drawings, and models. These representations for Industrial Design, Senior Design Project, and Design ofhelp sort information and generate new ideas. The design Textile-Based Wearable Healthcare Devices. The evaluationprocess is solution-focused and goal-oriented, done in iterative criteria were based on the students' engagement and outcomescycles of trial and error to refine solutions. using various AI tools introduced during the academic year 2024-25. The assessment focused on
degrees in Civil Engineering and Business Administration from the University of South Alabama. He received his M.Sc. and Ph.D. in Civil Engineering from The University of Alabama. Before assuming his current position, he was an Assistant Professor in the Department of Civil Engineering and Construction at Bradley University. Prior to joining academia, Dr. Alzarrad was a Virtual Design and Construction (VDC) manager at an engineering design firm in Chicago, where he managed multi-million projects (i.e., Wrigley Field restoration and expansion project). Dr. Alzarrad is a PMP©, CPEM©, and the Director of The Engineering Management Graduate Program at Marshall University. ©American Society for
survey link. A total of 24 students (out of 28 students, resulting in an 86%participation rate) actively participated in the survey that is detailed in Appendix A. Although thestudents in Dynamics had limited knowledge of ChatGPT, the students in Statics class had moreexperience due to prior exposure as they were assigned an in-class project and presentation thatinvolved utilizing ChatGPT for solving Statics problems. As a result of this deliberate differedexposure, a meaningful difference between the students’ responses was observed.In this survey, students were asked about a variety of aspects to explore the opportunities andchallenges of using AI-powered tools for engineering education. In addition to their experienceworking with ChatGPT
. IntroductionEngineering curriculum frequently focuses on technical, analytical, and decision makingknowledge and skills, evident by the common focus of courses on math and physics principles[1]–[3]. Course problem sets and projects routinely focus on determining variables and solvingequations where there is one “right” answer [4]. However, engineering work is inherently bothtechnical and social [5], [6]. To address major problems of today’s world, engineering studentsneed to develop contextual and cultural competencies, ethical responsibility, and socialengagement knowledge and skills, as well as the ability to work across disciplinary boundaries[7]–[10]. Engagement in these skills, which we collectively call “comprehensive engineeringknowledge and skills”, are
. Cardiac arrhythmia (cardiovascular system) 2. Shoulder joint injury (musculoskeletal system) 3. Type-1 diabetes (endocrine system) Out of 14 total teams, 6 teams selected to work on the T1D problem. These six submissions were used for our analysis. In BME 3010, students were given four biomedical problem options for their final studio project: 1. Optimize an oral drug for treatment of Philadelphia Chromosome Positive Acute Lymphoblastic Leukemia (Ph+ ALL) 2. Develop an in vitro method to produce a therapeutic dose of mature erythrocytes from hematopoietic stem cells 3. Develop an Organ-on-a-chip model to accurately simulate T1D patient physiology and treatment 4. Create a platform for enhanced T cell activation through repeated
Paper ID #40839Literature Review of Analyzing and Predicting Students’ Performance inExaminationsSakhi Aggrawal, Purdue University at West Lafayette (PPI) Sakhi Aggrawal is a Graduate Research Fellow in Computer and Information Technology department at Purdue University. She completed her master’s degree in Business Analytics from Imperial College Lon- don and bachelor’s degree in Computer and Information Technology and Organizational Leadership from Purdue University. She worked in industry for several years with her latest jobs being as project manager at Google and Microsoft. Her research interests include: workforce
as a psychometrician, program evaluator, and data analyst, with research interests in spatial ability, creativity, engineering-integrated STEM education, and meta-analysis. As a psychometrician, she has revised, developed, and validated more than 10 instruments beneficial for STEM education practice and research. She has authored/co- authored more than 70 peer-reviewed journal articles and conference proceedings and served as a journal reviewer in engineering education, STEM education, and educational psychology. She has also served as a co-PI, an external evaluator, or an advisory board member on several NSF-funded projects. ©American Society for Engineering Education, 2023
important mechanism of cultural reproduction inengineering education is what education scholars call “the hidden curriculum”, which can bedefined as “the set of structured learning experiences or conditions that occur beyond designintent and apart from the explicit curriculum” [1]. Engineering education scholars have exploreddifferent ways the hidden curriculum manifests and impacts student experiences [2] [3], givingspecial attention to impacts on underrepresented and marginalized student groups [4] [5].This paper derives from a larger project exploring cultural reproduction in engineering with afocus on how engineering students and recent graduates think about individual and professionalethics [6]. That project has considered some of the
the Hokie Supervisor Spotlight Award in 2014, received the College of Engineering Graduate Student Mentor Award in 2018, and was inducted into the Virginia Tech Academy of Faculty Leadership in 2020. Dr. Matusovich has been a PI/Co-PI on 19 funded research projects including the NSF CAREER Award, with her share of funding being nearly $3 million. She has co-authored 2 book chapters, 34 journal publications, and more than 80 conference papers. She is recognized for her research and teaching, including Dean’s Awards for Outstanding New Faculty, Outstanding Teacher Award, and a Faculty Fellow. Dr. Matusovich has served the Educational Research and Methods (ERM) division of ASEE in many capacities over the past 10
work on things not relevant to them, may be less likely to be interested inengineering. By extension, students may also be less likely to sign up on their own forextracurricular engineering activities such as clubs or summer camps. Early exposure to scienceand math is linked with students’ interest in engineering careers [11]. Though the survey used inthis evaluation has been used in research studies and evaluations of other K-12 outreach projects[12], those researchers have not focused on the survey’s questions about the personal factorsstudents consider when choosing a career field. In addition to early exposure, other studies havefound that students’ STEM career interests are influenced by their parents, teachers, classes, andSTEM
Paper ID #38583Attributes of Research Mindset for Early Career Engineering ResearchersMr. Sanjeev M Kavale, Arizona State University Sanjeev Kavale is currently a Ph.D. student in Engineering Education Systems and Design (EESD) at Arizona State University (ASU). His research interests are mindsets and their applicability in engineering, outcomes-based education, and problem / project-based learning. He is having a teaching experience of 11 years and an industry experience of 2 years prior to joining PhD.Dr. Adam R. Carberry, Arizona State University Dr. Adam Carberry is an associate professor at Arizona State University
: Fostering Interest in EngineeringAmong High School Students and Developing Future Engineering EducatorsABSTRACTThe development of the engineering workforce is a priority of engineering educators acrossdisciplines. Domestically, the U.S. Bureau of Labor Statistics projects that approximately 25,000new civil engineers will be needed each year of this decade. Given recent infrastructurelegislation, many more civil engineers will likely be required to design, build, and maintain theseproposed projects. Well-developed pre-college engineering curricula have been proven toincrease student enrollment in engineering majors. However, these benefits depend on effectiveclassroom technologies, tools, and techniques. This multi-year study looks at a one
many international conferences.Shebuti Rayana, SUNY, Old Westbury Shebuti Rayana is an Assistant Professor of Computer and Information Sciences at the State University of New York at Old Westbury (SUNY OW). She earned her PhD from the Department of Computer Science at Stony Brook University. Before moving to the United States for higher studies, she completed BSc from Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET). Shebuti Rayana’s research is to build a safe and secure digital world with the help of cutting- edge Data Mining techniques. During her PhD, she was involved in several projects funded by National Science Foundation (NSF), Defense Advanced Research
Paper ID #39174Applying STS to Engineering Education: A Comparative Study of STS Mi-norsProf. MC Forelle, University of Virginia MC Forelle is an assistant professor, teaching track, in Engineering & Society at the University of Virginia School of Engineering and Applied Science. Their work examines the intersection of law, technology, and culture, with particular interests in materiality, sustainability, and practices of resistance and change. Currently, they are developing a a book project that studies the technological challenges faced by users, tinkerers, and repair communities working to repair, maintain, and
paper, we share details about the equity-focused, collaborative codebook, the use of the codebook in our current RPP project, lessons learned, and recommendations for improving the process in the future.Keywords: Research practice partnership, program evaluation, team dynamics, computer scienceeducation, qualitative1 IntroductionThere are many models for partnership collaborations focused on systems change. One suchmodel is known as Research Practice Partnerships (RPPs). RPPs have been used in several fields,including education, with the goal of working collaboratively towards implementing solutions todirectly address problems of practice [2]. In the context of K-12 computer science (CS)education, problems of practice often focus on
- force demographics, technology, and organizational structures. As director of the Simmons Research Lab, she researches competency development via education and training; interactions between humans and technology; and conceptualization of leadership in engineering. Supported by more than $7.5M in federal funding and with results disseminated across more than 100 refereed publications, her research aims to develop and sustain an effective engineering workforce with specific emphasis on inclusion. She has over ten years of construction and civil engineering experience working for energy companies and as a project management consultant; nearly 20 years of experience in academia; and extensive experience leading and
learning experience [7], which we hypothesizemay be related to the increased need to self-regulate in remote environments. However, limitedresearch has explored the relationship between how students chose to participate daily and self-regulation in HyFlex learning experiences. Therefore, we used the following question to guidethis research: What is the relationship between students’ self-regulation and their choice of dailyparticipation in a HyFlex class? Methods HyFlex Course Environment and Participants Design Thinking in Technology is a required introductory level course that uses a project-based approach to prompt learners to consider real-world problems through
Paper ID #39243Transgender and Nonbinary Computing and Engineering Education: AWorkshop Experience ReportStacey SextonAmanda Menier, SageFox Consulting GroupRebecca Zarch, SageFox Consulting Group Rebecca Zarch is an evaluator and a director of SageFox Consulting Group. She has spent almost 20 years evaluating and researching STEM education projects from K-12 through graduate programs. ©American Society for Engineering Education, 2023 Transgender and Nonbinary Computing and Engineering Education: A Workshop Experience ReportExisting gender diversity Broadening
degrees with just one additional year, whereas a traditional MSE degreetakes usually two or more years to complete after the BSE. The combined degree program allowsacademically talented (high GPA) undergraduate students replace two of their three requiredundergraduate electives with graduate courses while also replacing their industry sponsoredsenior design project (capstone) with their Master’s thesis/project. With this, they are able toreplace up to 11 undergraduate credits with graduate credits thereby accelerating their graduatedegree while also reducing cost. The compressed timeline allows the scholars enter theworkforce a year earlier thereby maximizing their earning potential. This structure helps addressthe family pressure
GISoperations given a specific data type. The third performance task for SO-1 relates to the use oftools in STEM. Accordingly, the indicator PI-1.3 may stipulate that students demonstrate thecorrect approach on data analysis and visualization (i.e., projection, scale, etc.) to produce thebest solution for the GIS problem. The descriptions for each performance level should use anaction verb, which is measurable, and clearly states the desired quality level. This example aimsto demonstrates that simply using LMS, without exploiting its capabilities on a rigorousassessment approach, does not in itself guarantee that analysis and evaluation of test scores leadto effective and comprehensive assessment of student learning outcomes. LMS capabilities inconcert
been a visiting researcher at Syracuse University, UT- Austin, and Universidad Andres Bello. Her main research areas are interdisciplinary education, teaching methods, faculty development, and gender issues in STEM education. She actively participates in several national and international projects, in mathematics, engineering, and science education. © American Society for Engineering Education, 2022 Powered by www.slayte.comBuilding Industry-University Bridges: Successful Stories of IncreasingProfessional Women's Participation in MiningABSTRACTChile is one of the leading mining countries globally, and one of its expectations is to increase thenumber of women