flow velocity where VIV occurs is known asthe lock-in region. A floating offshore platform can lose its stability under VIV, which is theobjective to be investigated in our study. This project was completed for the University of Massachusetts Dartmouth MechanicalEngineering Senior Capstone project and the team, in collaboration with business students fromSt. Bonaventure University to compete in the 2021 Marine Energy Collegiate Competition(MECC) that was sponsored by the Department of Energy. The MECC provided the challenge touniversity students to develop a market-research-supported business plan, pitch their plan and havethe option to compete in the build and test portion of the competition where the proposed energydevice is tested
, plan motion,and make real-time decisions [2]. Artificial intelligence-driven technologies, such asconvolutional neural networks (CNNs), have further enhanced AVs' capabilities, allowing themto detect and classify objects in complex and dynamic environments [1].Object Detection and Scene UnderstandingFor AVs to be effective, they need to be able to detect and react to objects and obstacles in real-time. Object detection models like Faster R-CNN and YOLO (You Only Look Once) havesignificantly improved vehicle perception by identifying pedestrians, traffic signs, and vehiclesmore accurately and efficiently [3][8].A complementary process called scene classification involves understanding the generalenvironment (a city, a highway, a rural area) and
withtasks such as lesson planning, providing detailed feedback, and notably, creating assessments 13,14 .By generating quiz questions tailored to specific topics, ChatGPT has the potential to save timeand introduce a new level of customization to assessments.This study investigates the effectiveness of using ChatGPT to create quizzes that align withlearning objectives and accurately assess student understanding. It aims to provide evidence-basedinsights for educators and AI researchers by addressing the following research questions: • RQ1: How to more effectively generate quizzes using AI? • RQ2: How do AI-generated quizzes compare to manually crafted assessments in measuring understanding and differentiating performance? • RQ3: How
Paper ID #45807Examining the Effects of Gender on Capstone Team CohesionMadeline JoAnna Szoo, Northeastern University Madeline Szoo is a 5th year undergraduate Chemical Engineering and Biochemistry major at Northeastern University (graduation May 2025). She is the current President of the Northeastern University Chapter of Sigma Xi, the Scientific Research Honor Society, and outside of engineering education research, she studies the development of predictive vascularized tumor models for preclinical assays. She plans to pursue her PhD in Biomedical Engineering starting Fall 2025.Dr. Courtney Pfluger, Northeastern
in addition to 1)associated sample citations for referencing validity of each feature with respect to featurepotential in addressing student interest/motivation, and 2) notes that include examples furtherdetailing the listed features. The purpose of this paper is to share and discuss results from datacollected in foundational efforts to determine the impact ENGR 111 may or may not have onengineering student retention.Table 1. Pedagogical features and description for the ENGR 111 course. Feature Ref. [e.g.] Notes ➢ Course instruction & lesson plan(s) directly related to hand tool usage Hand
valuableinsights to enhance their teaching practices, which they plan to incorporate into other courses.These results highlight how growth in pedagogical knowledge gained through these programsoften translates into broader applications in future teaching endeavors.Collaborations with International PartnersQuestions six and seven addressed connections with international partners and collaborationamong students, faculty, and staff. Instructors from the No-COIL and COIL+ programsexpressed enthusiasm about maintaining their established connections, while COIL instructorswere less inclined. Additionally, instructors from the No-COIL and COIL+ programs felt well-prepared for these collaborations, whereas COIL instructors reported feeling less prepared. SomeCOIL
candidate.The software development industry not only created AI platforms, but it is also one of thebiggest beneficiaries of these technologies. Software developers use these products for codecompilation, code debugging, and code-driven testing…even to the point that they prompt an AIproduct for initial coding and then augment it with their own code. Along with MachineLearning and Natural Language Processing, AI is used to automate the entire softwaredevelopment process, which can include software security, software deployment, planning andcost estimation, understanding user behavior, and even strategic decision making. [3]ARCE 352 (Structural Computing I) is a one-unit computer laboratory that is a companioncourse to ARCE 302 (Structural Analysis) at
theinterview.This work involved human subjects in its research. Approval of all ethical and experimentalprocedures and protocols was granted by the Institutional Review Board (IRB-2024-237).Data Collection – Semi-structured InterviewsData for this study were collected using semi-structured interviews designed to explore students’experiences with microelectronics in the course. This approach provided a flexible framework,encouraging participants to share detailed reflections on their prior exposure to microelectronics,their evolving interest in the subject, and their future engagement plans. The semi-structuredformat allowed interviewers to ask follow-up questions, tailoring discussions to the uniqueexperiences and perspectives of each participant. This
to the online version. Furthermore, dividingparticipants into two in-person sections based on difficulty levels proved beneficial, as tailoredactivities enhance both interest and engagement. This approach ensures that the program meetsparticipants’ diverse needs and fosters a more inclusive learning environment.6 – Roadmap for Replication and Broader ImplicationsImplementing a program like GirlSET requires systematic planning, collaboration, and strategicuse of resources. Below, we provide a roadmap as a guidance for replicating a similar program:Secure Faculty and Institutional Support: Start by generating interest among facultymembers. We recommend initiating discussions during department meetings, where the majorityof faculty members are
into five groups: artificialintelligence (AI)-assisted technologies, advanced manufacturing, smart tools, digital simulationand visualization, and data acquisition and detection [1]. Examples of technologies included inthese groups are digital visual capture of drone images, use of augmented reality on jobsites,digital twins, blockchain, and the use of artificial intelligence systems for predictive analyticsand Building Information Modeling (BIM). These technologies often work in tandem and spanseveral phases of the planning, design, construction, and operations building life cycle [1].Because of the pervasive nature of emerging technology, the construction industry might alsoincur transformations of its business models and production
graduates from comprehensive programs showing 67% higher participationin industry innovation initiatives and 2.3 times greater professional certification rates compared totraditional construction educationKeywords: LEED certification, green building program, human-centered design, post-pandemicera, Sustainable construction education, curriculum improvement plan. 1IntroductionThe construction industry has undergone a profound transformation in recent years, driven byincreasing environmental concerns, technological advancements, and the unprecedented impact ofthe global pandemic [1]. This evolution has particularly affected the field of sustainableconstruction, where LEED certification has emerged as
those IGTAs who had earned master’s degreesin the U.S. and some DGTAs who were familiar with using active learning techniques such asgroup work and iClickers. One GTA from the focus group reflected on their lack of knowledge(competence) and how they needed to build it before being able to use it (perform) in theclassroom: “I think I need to do some research on active learning before using it in my class because I don’t have much knowledge about it. I plan to learn more and then apply it.”In the follow-up interviews, group work emerged as one of the most employed active learningstrategies by GTAs, reflecting their efforts to foster collaboration and enhance student engagement.Arman highlighted his understanding of active learning
self-efficacy and senseof belonging for Engineering and Computer Science (ECS) students using the campusmakerspace as a central hub for cohort activities. The scholars received financial assistance eachsemester, intentional advising, mentoring and transfer support. Weekly study hall/tutoringsessions were made available to all ECS students and were strongly encouraged for the scholars.In addition, scholars were advised to complete the Introduction to Engineering course whichemphasizes research on engineering disciplines, team building activities, academic planning andinternship preparation.Reviewing the academic outcomes of these scholars compared to other ECS students from springof 2020 to spring of 2024 demonstrates the positive impact of the
challenges involvement over time Underlying assumptions Short and long term Goal clarity / defining effects success Unintended consequences Constraints/ resource adequacy Feedback loop for planning and intervention Stakeholder identification Incorporation of stakeholder specific knowledge/expertiseWorkshop
field: engineering education, interdisciplinary education ©American Society for Engineering Education, 2025 Exploring an experiential learning project:A case study through Kolb’s Learning TheoryAbstract: China has advanced the reform plan of “Emerging Engineering Education” since 2017. 1457teaching reform projects involving over 300 universities under the “Emerging Engineering Education”initiative have been approved. In this context, the University of the Chinese Academy of Sciences (UCAS)has actively participated in engineering education reform based on experiential learning model. This studyinvestigates the impact of experiential learning programs on the
review to earn additionalpoints.To address the negative student comments, we took several corrective actions. We created a usermanual to show students step-by-step how to navigate SEP-CyLE. We conducted comprehensivereviews of the LOs and quizzes. We corrected the LOs and quizzes that had incorrect answers.The corrected LOs and quizzes were later imported into Canvas LMS [16] at Florida Gulf CoastUniversity, and students in successive years completed them as homework material. However,they were not part of a study when administered on Canvas LMS; the LOs and quizzes werestill valuable in courses that introduced cybersecurity principles. Additionally, should we obtainfunding in the future, we plan to enhance the material in the LOs to include
single-case approach,focusing on a series of undergraduate general AI courses at a leading Chinese university.Employing data collection methods such as documentary materials, surveys, and semi-structured interviews, this study examines the overall design, implementation, and feedback ofthe courses, and summarizes a curriculum design approach characterized by “hierarchicalcontent, classified objectives, centralized management.” This case represents one of thepioneering efforts in AI general education at Chinese universities. Through the case analysis,this study proposes a feasible curriculum design plan for cultivating AI literacy among studentsfrom multiple disciplines at comprehensive universities, aiming to contribute solutions to theglobal
thesediscussions. If students perceive their current advisor as less supportive or engaged, they may beless inclined to initiate discussions about changing labs [3], contributing to the lower percentageof students who report discussing their plans with their current advisors. Additionally, thecompetitive nature of academic environments, particularly in STEM fields, may furtherdiscourage open communication between students and advisors [11]. Students might fear thatdiscussing their desire to change labs could be interpreted as a lack of commitment ordissatisfaction with their current research group, leading them to avoid such conversations [33].While both women and men engage in a variety of lab change behaviors, women did not reportdiscussing with
faced by thecompanies they researched in the previous step and then critically articulated how and why theywere likely to succeed based on the results achieved by projects they had researched. As part ofthis analysis, the students also articulated how their situation was distinguishable from situationsthat they had identified as failures.This process enabled the students to identify (a) the goals of the project, (b) the characteristicsrequired for success at accomplishing the task, (c) the results of specific companies applyingthose principles, and (d) a plan for organizing a team with the required skills, size, andorganization to foreseeably succeed.After establishing a roadmap of the needs of the team, the students turned their attention to
with faculty affiliated with the program,and peer/near-peer mentoring. At the time of data collection, the program was in its third cohort.Participants and Recruitment: All participants in this study are first- or second-year MS studentsenrolled in an engineering field at the institution of focus in this study. All M.S. students arerequired to do research and write a Master’s paper or thesis. All participants for this study recruitedwere part of the SSTEM, although participation in this particular study was optional. IRB approvalwas obtained for the entire project and all data collection; the interviews collected and analyzed inthis study are part of the broader engineering education research plan in the funded SSTEM project.Six students
integrated curriculum. The National Mission for Manuscripts (NAMAMI), setup in 2003, has listed 3.5 million manuscripts out of the estimated 40 million in India. Two-thirds of these are in Sanskrit and 95% are yet to be translated [10]. As a result, India is still atthe tip of its ancient knowledge iceberg as a large part of its ancient literature is in Sanskrit[9]. According to Kaul and Bharadwaj, ‘India needs a strategic plan with focusedinterventions to establish science and technology as a continuation of the legacy of the past,instead of an import from the West’, and they acknowledge that ‘the establishment of theIndian Traditional Knowledge Systems Division in the Ministry of Education at All IndiaCouncil for Technical Education in October
projects outside of classroominstruction[19].Before we develop instruction plans and curricular materials, it is helpful to consider whatapproaches are being taken in higher education. While this topic is emerging, many of thecurrent examples include courses that focus on English composition using AI tools suchChatGPT [20], [21] and efforts to teach prompt engineering [22], however our project aims to gobeyond those specific tools and skills. Following are examples of AI literacy instruction that hasbeen integrated into existing courses.Fyfe included AI literacy instruction in a course titled “Data and the Human.”[23] With supportfrom the University Library in using AI tools, students wrote an essay that integrated contentfrom a text-generating
yield substantive benefits for both students and sponsors provided that social,technical, and pedagogical structures are well-designed [1], [2], [5]. Simultaneously, theseprograms face unique challenges, particularly in domains where hands-on prototyping orimmediate sponsor feedback are traditionally vital [4], [12], [17]. Below is a synthesis of themajor advantages and difficulties that frequently emerge in the literature.1.1 Communication Tools and Scheduling AdaptabilityOlder references, like Sclater et al. [5], stress the importance of multi-modal communication for“online collaborative design projects.” They found that “pre-lab” or “pre-meeting” sessions cansignificantly reduce confusion in remote design planning. Building on that, Goñi et
. Whitford, “La industria de los títulos y diplomas truchos: un negocio global de US$ 7 mil millones,” Forbes Argentina. Accessed: Jan. 13, 2025. [Online]. Available: https://www.forbesargentina.com/daily-cover/la-industria-titulos-diplomas-truchos-negocio-global-us -7-mil-millones-n29804[6] C. Acosta Villada, “El plan para tumbar redes de títulos académicos falsos,” El Colombiano. Accessed: Jan. 13, 2025. [Online]. Available: https://www.elcolombiano.com/colombia/asi-sera-el-plan-para-tumbar-redes-que-falsifican-titulos-ac ademicos-CH22343562[7] M. Al Hemairy, M. Abu Talib, A. Khalil, A. Zulfiqar, and T. Mohamed, “Blockchain-based framework and platform for validation, authentication & equivalency of academic
. Thus, considering that automated control courses inundergraduate curricula are usually considered difficult [10], and in recent years, the use ofunmanned aerial vehicles technology has notably increased [11][12], Tecnológico de Monterrey,Campus Monterrey, designed, developed and implemented autonomy of unmanned aerialvehicles minor. Here, the students implement their own control algorithms, applying thecompetencies developed in the focus stage of their study plan. Moreover, as laboratories andexperimentation are an important part of the engineering curricula and education [8], the labsessions are carefully designed to promote different and complex competencies required byABET Criterion; this, based on supplement technical workshops, in which
technical knowledge to choose their own direction amidst uncertainty.The overall goal of the course is simple: students should be able to look at any challenge andimmediately know that they could design a system to address it. A lot of this comes down toovercoming their own uncertainty and fear of the unknown. The class obviously does not teachevery paradigm that might exist in embedded design. Instead, it teaches students how to approachproblems systematically and how to make a plan and execute it.The rest of the paper will show how this goal was accomplished. Section 2 will present the designof the course. Section 3 will present evidence regarding the success of the course, as well as somediscussion around the findings. And Section 4 will
Paper ID #48406Assessing the impact of a Bridge program: A mixed methods longitudinalapproachDr. Andri Christodoulidou, University of Connecticut Dr. Andri Christodoulidou is a Visiting Assistant Professor at University of Connecticut’s College of Engineering. She holds an MPhil in Educational Research Methods and PhD in Education from the University of Cambridge, UK. Dr. Christodoulidou is the Director of Impact Assessment at the Vergnano Institute of Inclusion. In her position she designs and leads research plans to assess the impact of the Institute’s one-day and residential STEM educational programs. Also, she works with
(Equity Action Plan, 2022). Additionally, cultural misalignment between standardized engineering curricula and Indigenousvalues presents a significant barrier for Native students. Schools often lack Indigenous educators and rolemodels, and educators may not receive adequate training in culturally responsive pedagogy, limiting theirability to design inclusive curricula (Whitcomb et al., 2021; Ong et al., 2020). This misalignmentreinforces preconceptions of engineering as disconnected from community-centric values, furtherdeterring Indigenous students from pursuing an engineering career.Local vs national perspectives on inclusion in engineering education. The systemic barriers to inclusive education in engineering education in South
scheduled ending time listed (and maintained) would be helpful, fororganizational/planning purposes. Personally, also, I don't like being on campus that late, and mostclasses don't end as late as 5:00, so perhaps holding it a little earlier (to lessen the gap between whenclass ends/when students can leave campus) might be more convenient as wellSee above.I think following the microfluidics lecture, over the course of the years as this elective improves having a30-minute hands-on session is a great learning experience that makes students be able to apply thatlearning. I wish we had that chance (e.g. CAD), for students who've never actually designed to printsomething to actually design and send something to the printer & receive it on the