will enable institutions to identify areas for improvement, adjust course content,and evolve teaching strategies to better meet student needs and industry demands.Ultimately, assessment findings will be integrated into an ongoing cycle of continuousimprovement, ensuring that the AI curriculum remains current, market-relevant, and aligned withboth academic standards and workforce expectations.SCALABILITY AND INSTITUTIONAL READINESSWhile the development of a high-quality curriculum is essential, the successful implementation ofan AI concentration also hinges on the institution’s overall readiness. Effective integration of AIprograms at scale requires careful and strategic planning across multiple dimensions, includingfaculty development
time. Multiple participants shared their experiencewith the goal tracker feature of ClearMind: I had a lot to focus on each day, but the goal tracker kept me on track with checking in with ClearMind. The daily progress was color-coded, which motivated me to fill it in every day. [This refers to the goal tracker feature, where if a user misses a day, the color for that day’s progress grays out.] As a visual learner, seeing my progress was helpful. It not only helped me with procrastination but also with career planning. I would keep using ClearMind because of that one feature I just talked about—the score. I want to see how high it goes [my score changes over time].Many participants appreciate
education experience which includes STEM academic and student success/support programming, strategic planning, data analytics, and program evaluation. As a PI, she has garnered funds in excess of $3 million dollars from both NIH and NSF for broadening participation in STEM Undergraduate Education and as an Evaluator has worked on large projects with NSF (Big Data, BioGraph), Google CS-ER, and DOD STEM Student Success. Her distinguished record of STEM programmatic success (at HBCUs and PWIs) is well documented in publications and presentations. Dr. Leggett-Robinson’s latest publications, ”Demystifying Promotion & Tenure: A resource for Black Women” and ”Overcoming Barriers for Women of Color in STEM” are resources
create inclusive environments that allow students to form chosenfamilies. Potential methods for educators to act upon this could include allowing studentsextra time in class to get to know each other and creating an inclusive classroom culture inwhich students feel comfortable approaching the educator for various kinds of support.Chosen families provide students an ability to be their authentic self with others. Chosenfamilies also help students find solutions to their problems with others who are likeminded.The sense of belonging resulting from Chosen Family support likely supports students’persistence.In future research, we plan to deepen our understanding of how support networks impactundergraduate engineering students' success and well-being
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
International Organization for Standardization (ISO), “standards are thedistilled wisdom of people with expertise in their subject matter and who know the needs of theorganizations they represent—people such as manufacturers, sellers, buyers, customers, tradeassociations, users, or regulators” [1]. Similarly, Thompson defines standards as an agreed wayof doing something consistently to ensure safety and quality [2]. Codes, on the other hand, aresets of guidelines that define standards for the planning, construction, and maintenance ofstructures. These are typically categorized into safety standards and product standards [3].Specifications provide detailed requirements for components, products, systems, and services,ensuring they meet the necessary
engineering design. Similarly, Gasiewski et al. [40] gathered quantitative datafrom over 2,500 students and conducted focus groups with 41 students to investigate therelationship between student engagement and introductory science instruction.InstrumentationThe Engineering Profession in Mathematics (EPM) questionnaire was developed to assess thetypes of mathematics used in engineering practice. The questionnaire provides a commonstructure for evaluating engineering problems based on their alignment with mathematicalcontent standards. The 24 engineering problems in the questionnaire were derived from pre-service teachers' lesson plans for grades 7-12, and these problems were categorized into eightmathematical content areas. The problems were selected
demonstratesthe effectiveness of project-based learning in developing practical engineering solutions andenhancing student engagement in energy systems design.We have some initial, generally positive, anecdotal data about students’ perceptions of theproject. However, we are planning on constructing a more formal and detailed survey to obtainmore detailed information from students. In addition, we are also looking to investigate theimpact of the project on students’ satisfaction of the course learning outcomes.BackgroundThere is considerable evidence to the benefits of students working through open-ended complexprojects in engineering education [1]. Projects allow students to engage with real-worldproblems, work collaboratively in teams, synthesize
impact. A significantaddition to our study will be the involvement of a second instructor and their teaching team,offering a fresh perspective on the course's effectiveness. We plan to conduct focus groups withthis new cohort to gain deeper insights into their experiences and impressions. For future offerings of the course, we are developing a comprehensive student survey thatwill explicitly address the five key themes central to our course design and implementation.These themes include fostering a sense of belonging, supporting self-regulation skills in theonline learning environment, enhancing self-efficacy in engineering, promoting learning andmotivation through innovative online pedagogies, and evaluating the effectiveness of
serves as a Research Assistant. He holds a bachelor’s degree in Civil Engineering from the Federal University of Technology, Akure (FUTA). His current research focuses on the sustainability and resilience of transportation infrastructure in the face of sea level rise, with a particular emphasis on coastal vulnerability and adaptive planning for future climate scenarios. Tolulope is passionate about engineering education and research, with a strong appreciation for field experiences that bridge theory and practical application.Grace Yemisi Balogun, Morgan State University Grace Yemisi Balogun is a Ph.D. student in Bio-Environmental Sciences at Morgan State University & an Environment, Social and Governance analyst
International Programs (CIP) at the University of Dayton. The CIP provides coordination, strategic planning and administrative support forMrs. Marjorie Langston LangstonMr. Douglas Picard, Greene County Career Center Doug Picard is an engineering and manufacturing instructor at the Greene County Career Center in Xenia, Ohio. In 2023 and 2024, he participated in the Global STEM RET, facilitated by University of Dayton and Central State University, with in- and pre-service teachers from Dayton and surrounding area. He traveled to Banagalore, India, to observe and research how solar and other renewable energies are incorporated into developing areas and developed/published classroom curriculum. As part of this research
assistants tocurrent students who are struggling in a course [40], [41]. In our future work, we plan to explorethe impact of learning assistants more comprehensively by comparing the perceptions of bothinstructors and students. This investigation aims to identify and address recurring challenges inengineering statics. By reducing the high rate of failing grades and providing actionablerecommendations for statics instructors, this work seeks to improve students' learningexperiences and manage their expectations of the course.RecommendationsThe following summarizes our recommendations on improving the challenges students face inengineering statics based on this study’s findings:Revisit Prerequisite Concepts: Instructors should allocate time to revisit
? And I also think that it's just important to tie together these concepts. Yeah, engineering is involved with economics. Like, oh, yeah, this does matter. And on a global scale. And I think it's really cool for them to see these Geopolitics. Some students did projects one semester about different cooking oils, and there's a shortage there because Ukraine produces a bunch of cooking oil…. In the Design for Inclusion class we talk more specifically, I guess, about sustainability. And again, it’s sort of in the history of engineering itself. We watched a documentary called the Light Bulb Conspiracy and it really discusses the concept of planned obsolescence. It unveils this whole great story [about] a cartel of light bulb
(not replace) teachers.”These recommendations highlight a strong desire to instill ethical awareness and critical thinkingas part of AI use in education, ensuring that AI tools are pedagogically supportive and not misused.2. Customization and PersonalizationParticipants suggested that AI tools should be better tailored to meet the diverse learning needsof students and the instructional preferences of educators. Recommendations in this themeincluded: “Offer personalized learning based on student pace and style.” “Let educators customize AI outputs, lesson plans, and prompts.” “Provide multimodal support (e.g., visuals, audio, interactive tools).”These responses reflect a call for
model GC-induced write amplification inSSDLab. Real SSDs may have other sources of write amplification like wear leveling[3], [46].shown in Table 1 provide none or only a few lines of information for storage. The first week is forHDD/SSD physical internals, which is related to the latency calculation. The second week is forSSD and FTL details. Our planned student workload per programming assignment is 50 to 60lines of code in a duration of two weeks. Thus, we also provide two weeks of lab sessions todiscuss the programming assignment.In the labs, we review the overall structure of the topics (i.e., how FTL handles requests) andmake sure students understand how to implement the assignments from a high level by asking andanswering questions about
Paper ID #47096Fruitful Endeavors: Continuous Peer Feedback to Develop Positive TeamDynamicsBrian Patrick O’Connell, Northeastern University Dr. O’Connell is an associate teaching professor in the First-Year Engineering program at Northeastern University. He studied at the University of Massachusetts at Amherst in 2006 then worked in industry as a Mechanical Engineer working on ruggedized submarine optronic systems. He returned to academia in 2011 at Tufts University planning to work towards more advanced R&D but fell for engineering education and educational technologies. His research now focuses on developing
attuned to the social contexts oftheir work across various engineering fields.These early findings set the stage for future work that can assess the long-term impact ofsociotechnical training on professional practice, pilot the integration of such training into otherengineering disciplines, and explore broader sociotechnical curriculum development. Futurelongitudinal studies could explore how such pedagogy courses influence how TAs teach indifferent academic contexts. Additionally, many of our DS TAs still take computing and statisticspedagogy training courses in lieu of the DS pedagogy training course studied; we plan to exploredownstream effects of different pedagogy courses by studying a broader range of DS TAs in theclassroom.Finally, ongoing
resources required to implement a set ofsix hands-on statics activities. It is well established that active and hands-on learning canimprove student outcomes. However, planning, resourcing, and implementation can be a barrierto their use. Our goal is to lower the implementation barrier for busy faculty that are hesitant toadopt active learning despite awareness of the research. We have created an easily accessiblerepository of the resources required to source, assemble, and implement Statics Shoebox Kits.Five criteria were considered in the development of the kits and activities. 1) Very little prep timeshould be required from the instructor. 2) The materials should be readily available, portable,inexpensive, and reusable. 3) Activity worksheets