©American Society for Engineering Education, 2025 Making Nuclear Magnetic Resonance Resonate with Students: An NSF-IUSE Project that Aims to Integrate NMR into the Undergraduate CurriculumMotivationQuantum science and engineering will play a huge role in the 21st-century STEM workforce, asevidenced by national investments in quantum industries [1] - [2] and the many interdisciplinaryquantum information science and engineering (QISE) programs that have emerged in recentyears. Science and engineering educators will play an important role in researching the best waysto prepare a thriving and diverse quantum workforce [3]. Nuclear magnetic resonance (NMR) isone quantum technology that historically has
, CS, ECE, MA, ME courses Undergraduate Outreach ProgramsTestbed Integrated Systems In the 1998 STS95 (John Glenn) Mission Applied to relevant customer defined problems the drag chute door fell off at launch. Technology Transfer Programs A Shuttle simulation was completed by the Industrial, government, & academic ERC during the Mission. This collaborators demonstrated that the ERC had reduced Software & technology widely used the CAD to solution time from 2 months to 2 days.• Won the DoD PET contract in 1996. • Thompson appointed by President Clinton to PITAC in 1997.CAVE opened in
, CS, ECE, MA, ME courses Undergraduate Outreach ProgramsTestbed Integrated Systems In the 1998 STS95 (John Glenn) Mission Applied to relevant customer defined problems the drag chute door fell off at launch. Technology Transfer Programs A Shuttle simulation was completed by the Industrial, government, & academic ERC during the Mission. This collaborators demonstrated that the ERC had reduced Software & technology widely used the CAD to solution time from 2 months to 2 days.• Won the DoD PET contract in 1996. • Thompson appointed by President Clinton to PITAC in 1997.CAVE opened in
. Once scientific literacyincreases, it is assumed, a positive attitude toward science and technology will inevitablyfollow.4 However, these assumptions do not hold up when considered in light of studieschallenging the connection between “exposure to science in the media, level of knowledge, and afavorable attitude toward research and its applications” (p. 450).4 For instance, research hasshown that the most informed members of the public also have a “substantial degree ofskepticism and suspicion” toward biotechnologies (p. 450).4A second critique of the deficit model is that it disregards “lay” knowledge, or publics’knowledge about S&E in their lives. Expertise is conceptualized in narrow terms as somethingacquired only through formal
Technology(UTAUT). Four key concerns emerged from his analysis, including: (1) the inherent opacity ofGenAI models and their “blackboxed” nature, which creates barriers to user understanding andtrust; (2) the persistent challenge of model errors and learning curves, particularly salient indynamic operational environments; (3) the complex interplay between human cognitive biasesand algorithm aversion, which can impede adoption even when GenAI tools demonstratesuperior performance; and (4) the unique challenges posed by operations management contexts,including incomplete data, multiple stakeholder dependencies, and evolving operationalparameters. Drawing upon UTAUT's four established predictors, Venkatesh [17] proposedinvestigating individual
and for professional development of its faculty members at VITUniversity is in line with the international concept of continuous training of faculty members 3. „The shortage of appropriately skilled labour across many industries is emerging as asignificant and complex challenge to India's growth and future. According to the NationalAssociation of Software and Services Companies (NASSCOM), each year over 3 milliongraduates and post-graduates are added to the Indian workforce. However, of these only 25percent of technical graduates and 10-15 percent of other graduates are considered employableby the rapidly growing IT and ITES(Information Technology Enabled Services) segments.Hence, what we have today is a growing skills gap reflecting
important to me. --EmmaDiscussion and conclusion So far, based upon the preliminary findings, we identified STEM teachers’ evolving roleswithin complex educational ecosystems. Erdogan’s Learning Ecosystem Theory posits thatteachers act as mediators across formal and informal learning layers[10], a perspective echoed inparticipants’ narratives. For instance, Michael’s iterative guidance on project feasibility alignswith the observation of Han et al. that teachers in project-based learning environments shouldbalance student autonomy and technical scaffolding[11]. Similarly, Olivia’s adaptation of 3Dmodeling tasks reflects the pedagogical flexibility emphasized by Margot and Kettler (2019) ascritical for integrating emerging technologies[14
, Palisades, NY.12. Sleeter, C. E. (2001). Preparing teachers for culturally diverse schools research and the overwhelming presence of whiteness. Journal of teacher education, 52(2), 94-106.13. Soto, T. J., Tillman, D. A., & An, S. A. (2021, March). Applying TPACK to Medical Education. In Society for Information Technology & Teacher Education International Conference (pp. 1632-1637). AACE Education.14. Huitt, W. (2003). Constructivism. Educational psychology interactive, 2006.15. Sweller, J. (2011). Cognitive load theory. Psychology of learning and motivation (Vol. 55, pp. 37-76). Academic Press.16. Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1
University Press (Taiwan). Much of his current work involves developing curriculum and supporting technology for Critical Embedded Systems along with Professor Andrzej Rucinski at UNH CIDLab. Recently, Kochanski has been involved with organizing conferences, presenting invited lectures and collaborating on diverse topics with universities, national research centers (Poland, Germany) and EU organizations. In 2008, Dr. Kochanski co-edited with Prof. Andrzej Stepnowski, Marek Moszynski and Jacek Dabrowki of the Gdansk University of Technology, the Proceedings of the 2008 1st International Conference on information Technology (GUT, 2008).Andrzej Rucinski, University of New Hampshire Prof. Andrzej Rucinski represents a growing
identified needs.14The sorts of strategies and skills associated with engineering design have emerged as a populararea of research as engineering educators, psychologist, and learning scientists have tried tounderstand the process by which people design and what expertise looks like in design.12,13,15,16 Crismond and Adams’s review of research on design proposes a framework forconsidering the development of expertise in a number of common design strategies and skillshighlighting differences between beginning designers and informed designers.14 This researchinformed the current modification of an educational tool to investigate how educationalexperiences impact how people design.Researchers at the center were conducting studies
characteristics imply system behaviors that are collective, i.e.they arise from the combined actions of many relatively simple interacting elements withoutcentral control. Her definition of a complex system is “a system in which large networks ofcomponents with no central control and simple rules of operation give rise to complex collectivebehavior, sophisticated information processing, and adaptation via learning or evolution.” Thesebehaviors are often described as self-organizing.xx The term “emergent behavior” is also used,since a complex system may exhibit action at the system level that cannot be explained bymodeling the individual components. Rather, the behaviors arise from the changing connectionsbetween system components. The kinds of systems
- dom, and the Executive Director of the Centre of Doctoral Training in Embedded Intelligence (CDT- EI). She is the architect of the novel Doctoral Transition ZoneTM Training ethos. She has been work- ing in industry-informed, academically-led education for more than 10 years. Her research interests are on the design and manufacture of multifunctional materials with tailored properties to meet specific re- quirements. These have driven the development of technology to adjust cellular structure of foams via controlled ultrasonic irradiation. She has attracted £6.1M+ government support and private funding to investigate materials and structures for a broad range of applications and works at the interface with man
’ development ofethical perspectives on emerging issues related to drone technology. Students developed ethicalawareness when engaging with driving questions and real-world problems that integrated ethicsinto technical discussions. Some had also begun emphasizing the societal and practicalconsequences of their technical decisions. This indicates that addressing both practical andethical topics alongside emerging technologies within the SSI curriculum provides a holisticframework. Embedding ethics into SoPT education through real-world drone applicationsencouraged students to think beyond technical proficiency, fostering a deeper understanding ofethical responsibilities in their practice. Perhaps this approach made ethical issues more tangiblefor those
Postal 17-1200-841, Quito 170901, Ecuador.* Correspondence: Miguel Andrés Guerra, MAGuerra@usfq.edu.ecAbstractConstruction engineering education is constantly evolving and adapting to emerging technologieslike artificial intelligence (IA). Generative AI applications have become a valuable tool in helpingstudents better understand information. Although generative AI development has been ongoing forseveral decades, its importance in higher education, especially in fields like Civil Engineering andArchitecture, has significantly grown in recent years. This study seeks to explore how generativeAI can be effectively used to enhance the development of critical thinking skills. To achieve this,the AI program ChatGPT was introduced to civil
given, especially theorganization of lab projects and their learning usage. Then, we present the future work ofintegrating real-time operating systems (RTOS) into the IoT application development. Finally, Page 26.1766.3the paper is ended with conclusions.2. Overview of the Internet of Things (IoT)The Internet of Things (IoT) is generally thought of the interconnection of uniquely identifiableembedded computing devices within the Internet infrastructure to provide remote monitoring orcontrol services. The IoT is grounded in the recent advances in microelectronics,communications and information technology. Due to their decreasing size, falling
. Clayton Christensen Institute. Retrieved from http://www.christenseninstitute.org/wp- content/uploads/2014/06/Schools-and-Software.pdf9. Kushniruk, A. (2002). Evaluation in the design of health information systems: application of approaches emerging from usability engineering. Computers in biology and medicine, 32(3), 141-14910. Watbled, L., Marcilly, R., Guerlinger, S., Bastien, J. C., Beuscart-Zéphir, M. C., & Beuscart, R. (2018). Combining usability evaluations to highlight the chain that leads from usability flaws to usage problems and then negative outcomes. Journal of biomedical informatics.11. Siemens, G. (2005). Connectivism: A learning theory for the digital age. International journal of instructional technology and
constraints. The specificationsindicate what the design must accomplish, and typically the constraints are limitations in termsof materials and time. Teachers, working in their school and grade-level teams, spent a daydesigning and constructing model emergency shelters for different biomes that had to satisfy thespecifications in terms of scale, protection from animals or insects, and the weather. Thespecifications required an understanding of science, and mathematics to be met, but the team’sparticular solution was open-ended.A key idea in the informed design process is to have scaffolding math, science and technologyactivities that “inform” student knowledge before the design is attempted. These activities arecalled knowledge and skill builders
, learning settings as an emerging research areais increasing1 and although this is not a fully explored area, in terms of educational potential andsettings2, the benefits are expected to be large. One of the reasons for increased interest ininformal learning is that with the advent of internet, a plethora of new and open educationalresources has become available online. This has resulted in a completely different way forteachers, students and parents look for new content 3. This is all happening at a time when therapid technological advancement makes clear the need to identify optimum times and methods fortechnology and computer education, starting at early ages. Besides today’s need for technologically literate citizens, the fact that after 50
), 50% of the STEMworkforce, but only 15% of the computing (i.e., computer and information sciences) workforce [1], [2].Historically underrepresented minority (HURM) women, particularly Black and Hispanic women, represent16% of the overall U.S. population, yet HURMs in general represent 16.73% of the STEM workforce andapproximately 23% of the computing workforce [2]. While the percentages of Black and Hispanic women inthe STEM and computing (STEM+C) workforces are unknown, their underrepresentation in these workforcesis apparent. Furthermore, Black and Hispanic women, and other HURMs, are underrepresented in U.S.computing education at every postsecondary computing degree level, particularly at the graduate level [3].Since Black and Hispanic
interface.Bridging the gap between these diverse worlds can be a complex endeavor, requiring innovativepedagogical approaches and a nuanced understanding of how to integrate this acumen intoengineering curricula. Unfortunately, few graduate programs provide a truly convergent roboticstraining addressing all challenges to future STEM professionals. Thus, there is a great need for thedevelopment of a graduate robotics training program in the human-technology frontier thataddresses both technical and societal needs.2. Description of our National Science Foundation (NSF) Research Trainee (NRT) programTo be competitive in the global labor market through innovative technology, educational programsare needed to train students in the emerging areas of the
to meet the end-user requirements.According to the United Nations data, the actual percentage of the elderly population is 7.6% andis projected to increase to 16.2% in 2050. Therefore, home automation systems play an importantrole in the advantages for safety and security1.Today's daily tasks and problems have found different areas to provide solutions to technologyand networking related tasks through the use of information and communication technologies(ICT), and the internet of things (IoT); the aforementioned areas result in a number of novelsolutions that allow the user to define the preferred sequence for compiling, transferring,processing and storing the information resulting from the continuous repetition of an action.Some of the
, analyzing, visualizing andinterpreting the experimental data and results4. Through competitive, merit-reviewed awards forleading-edge, IT-based infrastructure, which is increasingly essential to science and engineeringleadership in the 21st century, OCI is developing an infrastructure, termed Cyberinfrastructure (CI)to facilitate rapid progress in education and research.Cyberinfrastructure and teragrid“Cyberinfrastructure” describes integrated information and communication technologies fordistributed information processing and coordinated knowledge discovery, which promises torevolutionize the way that science and engineering are done in the 21st century and beyond3. It isthe coordinated aggregate of software, hardware and other technologies, as
who can advise us.closingOur intent with this work-in-progress paper is to share our current status and invite interestedcolleagues to provide feedback about our pilot analysis work and our plans for future datacollection and analysis. Our particular concern is how to effectively integrate emergent issuesinto the research design of the ongoing implementation. As the primary researchers on the S-STEM project, we are also new to the ASEE community, and would like to hear from colleagueswho have experience with large-scale, multi-year implementations. We invite you to share yourexperiences and expertise with us as we consider our next steps in this ongoing project.references [1] F. Wang and M. J. Hannafin, “Technology-Enhanced Learning
problems all the requiredinformation is provided, and the solution requires the application of a specific strategy that willwork for all problems of a given type. Unfortunately, the nature of the 21st century economymeans that the types of problems that engineers have to solve tend to be more implicit in form.All the information required for the solution is available, but it is fragmented, dispersed andrequires highly developed perception skills to extract and use successfully. Traditionally, in largecorporations, high levels of creativity and innovative idea generation have not been seen ascentral to the engineer’s role. However, to compete in a changing marketplace fraught withrapidly changing technology, shorter product life-cycles, downsizing
h. Promoting interaction among and between faculty and studentsUDL: Principle I. Provide Multiple Means of RepresentationUniversal Design for Learning Principle II. Provide Multiple Means of Action and(National Center on Universal ExpressionDesign for Learning, 2010) Principle III. Provide Multiple Means of Engagement 1. Class climate 2. Interaction 3. Physical environments and productsUDI: 4. Delivery methodsUniversal Design of Instruction 5. Information resources and technology(Burgstahler, 2009
Industry Survey, while others were only applicable toindividuals responding to the Faculty Survey.The question, “In the next five years, which of the following do you see as changing significantlydue to new and emerging technologies and advanced research and development”, was asked toboth survey groups in an effort to observe any differences in perception among the twoaudiences. Respondents were given a list of 13 energy related topics, and asked to rank their topfive choices, in order of importance, from 1-5.For the faculty survey the top five topics selected by participants were Energy Storage, ElectricVehicles, Solar Photovoltaics, Grid Operation, and Energy Efficiency/Energy Management. Theresults of this question showed that not only did
automated andoptimized part production. However, adoption of DT and AI requiring a wide framework ofvarious technologies, it is not state of the art yet. This paper presents a comprehensive review ofAI and DT enabled models in Metal Additive Manufacturing. This paper also identifieschallenges and opportunities to not only further leverage emerging technologies, artificialintelligence (AI) and digital twin (DT) for metal additive manufacturing, but also influence offuture development of DT and AI to better meet the needs of additive manufacturing. Theseinsights significantly contribute to the understanding and further development of AI and DTs inmetal additive manufacturing within the context of Industry 4.0, offering a fresh perspective thataligns
. To complicate the situation, there has been a downward trend in engineering enrollment over thepast few years. In today's high technology environment, introducing scientific and engineering concepts early ina student's educational experience is critical in fostering students' interest in technology. At the same time, an“information revolution” has occurred which requires educators of all levels and disciplines to constantlyupgrade their skills. These factors contributed to the need for the Connections Program, which provides networkconnectivity to selected area high schools. 1996 ASEE Annual Conference Proceedings
their questions and offer the opportunity to talk to university students. A.5 Outreach (School Initiatives that involve the students in College students talks and agenda) academic backgrounds, motivated by visitations each school’s agenda. Table 3. Classification emerging from an inductive analysis Classification Category Description Example of initiative criterion Purpose Inform Initiatives that provide key Open days, talks with information about STEM degrees. college students
information such as images, texts, video and sounds on the real world orthe user's viewing device [5]. VR provides an environment for sensory immersion and simulatesthe real world. It offers an interactive environment where users are immersed in a virtualenvironment and cannot see the real environment around them [5], [6]. MR uses technology toinfluence the human perception of an experience. It provides a view of the physical world withan overlay of virtual information where physical and virtual elements can interact [4], [7].XR environments can help students practice and develop skills that might be difficult to learn ina traditional teaching and learning environment [8]. They also provide an opportunity forstudents to “see” concepts/structures that