paper describes initial findings from an educational innovation projectwhich deploys mixed reality (MR) modules in Engineering instruction as holographic digital twinsof laboratory equipment. The NSF-funded undertaking is based on findings from a pilot study forchemical engineering completed with institutional resources. Under the NSF grant, the scope wasexpanded and MR assets, the digital twins, were developed for both Chemical Engineering andElectrical and Computer Engineering instruction. The project research focuses on learning andengagement impacts from use of MR modules in classroom and lab settings for both disciplines.The Chemical Engineering MR digital twin is based on a fluid flow in pipes lab, featuring apipeline network having
Safety Engineering and Education. With over 10 years of expertise in training professionals across companies, educational institutions, and industries, they possess strong skills in processing, analyzing, and synthesizing large data sets. Their ability to thrive in collaborative, team-oriented environments complements their technical expertise. Currently, he is pursuing a PhD in Engineering Education at the University of Nebraska-Lincoln, where they serve as a Graduate Research Assistant. Additionally, he contribute as a visiting professor at Federal Institute of Science and Technology of Minas Gerais (IFMG-Bambu´ı) in Brazil. His research is centered on innovative methodologies for Engineering Education, with a
accessible infrastructure, such as sound systems for visuallyimpaired passengers or shelters at transit stops. However, engineers play a pivotal role in translating thesepolicy commitments into practical, innovative designs that address both visible and invisible disabilities.Another group explored how engineers could design ramp-molding tools to empower communities tomaintain infrastructure while ensuring accountability, or they could create scalable systems likedynamically expandable transportation fleets. By embedding accessibility into the design process,engineers can collaborate with municipalities, transportation operators, and community members to co-develop solutions that are contextually relevant and sustainable. 4) AccountabilityWhile
innovative ideas through brainstorming is a skill that can be fostered,practiced, and improved with repeated experiences “ (p. 9) and with support from instructors [8].Idea FixationIn contrast to informed designers, beginning designers may “work with few ideas or just oneidea, which they can get fixated or stuck on, and may not want to change or discard” (p. 748) [1].The term for getting stuck like this is “idea fixation.” Fixation on a designer’s first idea abouthow to solve a problem can occur when designers are given an example problem or when theirfirst idea is self-generated [9, 10]. This is a type of idea fixation that Youmans and Arciszewskicalled conscious blocking, which we address in the present paper; other types includeunconscious
of automated systems or devices, showcasing students'ability to innovate in areas such as robotics or fixed automation. By tackling these challenges,the capstone experience prepares students to address industry demands for mechatronicssolutions, bridging theoretical knowledge with hands-on application. Mechatronics is a rapidly growing field, yet there are surprisingly few undergraduateprograms dedicated specifically to mechatronics engineering. For example, the Bachelor ofScience in Mechatronics Engineering at Middle Tennessee State University is the only programof its kind in the state. Since few undergraduate mechatronics engineering programs exist, thereis limited guidance in the academic literature on how to effectively
. The team included the co-leads of the MRSEC’s education andoutreach efforts, an external evaluator, administrative staff, a staff member from the college’soffice of Inclusive Excellence and Educational Innovation (IEEI), and the Directors of theCollege of Engineering’s GERS program [12]. GERS is one of several Graduate ResearchScholars communities at UW-Madison designed to support underrepresented students throughouttheir graduate school career using a range of social, academic, professional development, andresearch-related activities [15]. Including GERS leaders in the planning stages enabled thecommittee to leverage best practices from GERSs’ 25+ years of working with underrepresentedgraduate students. Demographically, the team consists of
within universitycybersecurity programs, restricting classes to graduate students with smaller cohorts and leavingearly learners without a pipeline to get interested and start in the field. Limited accessibility is asetback to any university program but especially cybersecurity as every student brings diverseperspectives - a benefit to flexible and innovative thinking that defines the hacker mindset, butonly if we are able to support different learning styles through considered instructional design.Unfortunately, all these challenges likely culminate in what could be the biggest issue of all:interested students are inhibited from joining the field. Lack of perceived demand from thestudent population leads to fewer courses being offered in the
specialization in Design and Interaction from University of California, San Diego. Her research interests include healthcare innovation and the development of creativity support tools.Mr. Dingyi Yu, University of California, San Diego Dingyi Yu is a master’s student at the University of California, San Diego, majoring in Computer Science. He earned a B.E. in Software Engineering from Peking University and has completed several industry internships. His research interests include the development of responsive software and practical tools for validating psychological theories.Michael Levin, Utah State University Dr. Michael Levin is a professor in the department of psychology at Utah State University. His work focuses on
/worldwide [6] [Online]. Available: https://www.mordorintelligence.com/industry-reports/internet-of-things-iot-market [7] [Online]. Available: https://www.indeed.com/career-advice/finding-a-job/cloud-computing-careers [8] B. Burd, L. Barker, F. A. F. P´erez, I. Russell, B. Siever, L. Tudor, M. McCarthy, and I. Pollock, “The internet of things in undergraduate computer and information science education: exploring curricula and pedagogy,” in Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018, pp. 200–216. [9] C. Servin, S. Aly, Y. Cheon, E. Eaton, C. Guevara, A. Kumar, T. Pirtle, and M. Scott, “Cs2023: Acm/ieee-cs/aaai computer science curricula-specialized platform
essential industry, but also to driving innovation across the United States[6], [7], [8], [9], and for meeting the growing demand for engineering skills [10].Engineering outreach programs are a key feature of the pipeline that supports marginalizedstudents to connect with pathways that lead towards four-year bachelor’s degree programs, andsubsequent careers in engineering. They provide access to the knowledge required to find andconnect to engineering degree programs, and help students develop the technical skills andassociated artefacts of them that demonstrate their academic and practical abilities. For example,outreach programs may help students develop an online portfolio of engineering projects theyhave completed, to evidence their potential
IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), Oct. 2015, pp. 433–436. doi: 10.1109/MITE.2015.7375359.[28] S. Rani and P. Kumar, “A Sentiment Analysis System to Improve Teaching and Learning,” Computer, vol. 50, no. 5, pp. 36–43, May 2017, doi: 10.1109/MC.2017.133.[29] A. Zamsuri, S. Defit, and G. W. Nurcahyo, “Classification of Multiple Emotions in Indonesian Text Using The K-Nearest Neighbor Method,” J. Appl. Eng. Technol. Sci. JAETS, vol. 4, no. 2, Art. no. 2, Jun. 2023, doi: 10.37385/jaets.v4i2.1964.[30] A. Agrawal and A. An, “Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations,” in 2012 IEEE/WIC/ACM International Conferences on Web Intelligence
." transporting a product." 1.1.1. Before Results: Diverse Perspectives and DefinitionsThe initial findings before the teaching method were used reveal a rich tapestry of perspectiveson sustainability. Participants articulated sustainability as a multifaceted concept, encompassingthe ability to fulfill needs consistently, maintaining stability, and innovating without harm to theenvironment. Participants acknowledged the importance of conserving the environment, meetingpresent needs without sacrificing the future, and saving the environment for future generations.However, uncertainty was evident in responses marked by phrases like "I don't know," reflectingthe complexity of the concept. 1.1.2. After Results: A Focus on Environmental Impact and
processing, computational modeling, and statistical data analysis. As an electrical and biomedical engineering scientist, he conducted research in computer modeling of the brain, cranial electrical stimulation (CES), electrical impedance tomography, electrode design, and EMG and muscle action potentials and ions channels simulation & modeling. His technical research interests include digital systems, embedded, systems, computer architecture, adaptive and system identification, modeling and simulation, and signal and image processing. His clinical research interests include impacts of chronic diseases in elderly (such as Alzheimer’s disease, cancer, and diabetes), innovative technology for drug addiction treatment and
for Future and Current Female Engineering Students” Maria C. Sanchez, Nell Papavasilou, & Hernan Maldonado ...................................................................... 6“Use of Video in Casting Education”* Craig Johnson............................................................................................................................................ 18“Sustainable Design: Meeting the Thunder Beings of the West” John M. Murray, Roger A. Greener, Heong-seok Kim, & William T. Murray ........................................ 25Session EE: Electrical Engineering and Technology“Curricular Innovations for Real-Time Embedded Systems Course” Reza Raeisi & Sudhanshu Singh
States Census Bureau. Washington, D.C. https://www.census.gov/library/publications/2017/demo/p60-259.htmlSigle-Rushton, W. (2014). Essentially quantified? Towards a more feminist modeling strategy. In M. Evans, C. Hemmings, M. Henry, H. Johnstone, S. Madhok, A. Plomien, & S. Wearing (Eds.), The sage handbook of feminist theory (pp. 431–445). SAGE Publications.Smith, J. M., and J. C. Lucena. “Invisible Innovators: How Low-Income, First-Generation Students Use Their Funds of Knowledge to Belong in Engineering.” Engineering Studies 8, no. 1 (2016): 1–26. https://doi.org/10.1080/19378629.2016.1155593.Sonnert, Gerhard, Melissa Barnett, and Philip M Sadler. “Individual and Neighborhood Effects of Race / Ethnicity
their classrooms more inclusive and supportive for allstudents. This includes giving students tools to be aware of the impact of their projects,motivating students from diverse backgrounds, and ensuring that students feel safe in theclassroom. Building a community of equity-minded faculty and learning from peers are alsosignificant motivators. Participants value the opportunity to collaborate with colleagues whoshare a commitment to DEI and create systemic change within engineering education. They seekto center DEI as a driver of innovation and to change the mindset that DEI does belong inengineering. Participants showcase a strong desire to be agents of change by turning DEIawareness into action and addressing structural and societal issues
on and you need to capture Which of the following projects. Now, you need introducing innovative precise details of the technologies are the to analyze the data and AI solutions to enhance site for planning and more appropriate for identify insights or efficiency and safety. design purposes. Which this task? problems present based Which of the following of the following tools is on the data so others tools are more more appropriate for
surveyed institutionsalready used Artificial Intelligence (AI) in their admissions process, and an additional 30%planned to do so in 2024. AI gives universities the advantage of increased efficiency, allowingthem to focus their limited resources on other critical tasks like selecting students for financialaid and scholarships [5]. Therefore, it is essential to innovate AI systems that assist in theadmissions process while still minimizing the possibility of biased outcomes.The rapid development of the technology industry led to an increased number of graduate degreeholders yet the diversity among these graduates has not shown comparable growth. For instance,the male-to-female ratio among master's graduates has remained nearly constant in the
robust network setup to supportmulti-user XR interactions [20], as high-bandwidth and low-latency connections duringcollaborative XR training can disrupt training, leading to inconsistent user experiences andreduced training effectiveness [21]. Additionally, designing realistic collaborative scenariosposes challenges, particularly in balancing individual skill development with team-basedlearning objectives [22].Despite these challenges, the potential benefits of XR-based collaborative training inmanufacturing, including improved workforce capabilities and enhanced industry innovation,offer a promising platform for enhancing workforce capabilities. To this end, this current studybuilds on our previous research [8], which explored the impact of
Knowledge Society. The Changing Academy – The Changing Academic Profession in International Comparative Perspective, vol 22. Springer, Cham. 2021. https://doi.org/10.1007/978-3-030-76579-8_22[2] E.L. Boyer. 2019. Building the Field of Higher Education Engagement. Routledge.[3] E.M. Janke and T.L. Shelton, Community engagement: Terms and definitions for promotion and tenure guidelines. University of North Carolina Greensboro. Community Engagement Initiative, Office of Research and Economic Development. March 1, 2011. http://communityengagement.uncg.edu[4] Advisory Committee for Environmental Research and Education, Engaged Research for Environmental Grand Challenges: Accelerating Discovery and Innovation for Societal Impacts. A
programs, student success, and STEM identity. Here, we studyhow the mentorship program affects STEM identity using qualitative methods involving semi-structured interviews and surveys. Five students (mentors and mentees) were interviewed, andtwenty-two students completed the survey. The qualitative analysis of the results shows thatstudents who participated in LMP derived significant benefits, not only towards the enhancementof their STEM identity, but also through better academic achievements and stronger sense ofcommunity and belonging.IntroductionAn innovative Layered Mentorship Program (LMP) was designed and implemented in theCollege of Engineering at University of Colorado Denver. The main objective of this program isto promote STEM identity
—recognizing that talent is broadly distributed in society and that unique perspectives drive innovation, appreciating the broad dimensions of identity, and confronting historic barriers and contemporary hurdles that shape and distort participation and success in engineering education and the profession; • Seeking equity—removing barriers, promoting access, and supporting positive working, convening, and social environments; and • Driving inclusion—celebrating multiple approaches and points of view to develop optimal solutions, building capacity to strengthen the engineering profession, and building and encouraging relationships in the NAE’s working, convening, and social environments.The term DEIJ
, “Channels and processes of knowledge transfer: How does knowledge move between university and industry?,” Science and Public Policy, vol. 47, no. 2, pp. 256–270, Feb. 2020. doi:10.1093/scipol/scaa002[15] J. D. Roessner, “National Issues in Technology Transfer,” in Review of Progress in Quantitative Nondestructive Evaluation, 1st ed, D. O. Thompson and D. E. Chimenti, Eds. Boston, MA: Springer, 1993, pp. 31–39. https://doi.org/10.1007/978-1-4615-2848-7_3[16] I. Nonaka and H. Takeuchi, The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation, 1st ed. New York, NY: Oxford University Press, 1995.[17
not for engineers. Engineers should stick to just the technical piece. … I think it's a risk honestly, because as much as we talk about changing our tenure and promotion criteria and including things like innovation, community engaged research, or things that may not be as traditional… it's very difficult to change minds. And even when someone says, ‘Yeah, you know, we should include those things,’ the tenure and promotion [process] is very subjective, no matter what. And I do believe things have improved but I don't think they've improved to the point where I would advise an early career faculty member whose portfolio is primarily community engaged research. I would be nervous for that faculty member. To be honest, I’d