. Additionally, Dr. Buckley has authored and co-authored several peer-reviewed conference and journal papers, contributing to research in pedagogy.Bogdan Carbunar, Florida International University Bogdan Carbunar is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at FIU, and directs the Cyber Security and Privacy Research (CaSPR) Lab, where he develops secure and usable systems. His research interests are at the intersection of security, privacy, and distributed systems, where he derives novel insights through the use of machine learning, applied cryptography, and user studies. He holds a PhD in computer science from Purdue UniversityDr. Juan P Sotomayor, Florida International
tools, machining, circuits/breadboards/soldering,microcontrollers, and instrumentation (i.e., thermocouples, pressure transducers). Andprofessional skills or project experience with: report writing, oral presentations, statisticalanalysis of data, problem identification/problem formulation, creative ideation of designalternatives, project management tools (i.e., Gantt chart, Kanban board), research literaturereview, conflict resolution, time management, website creation. Within the pre/post programevaluation survey students about their interest in science and engineering, what they know aboutengineering careers, and if they see themselves pursuing engineering in school or jobs as seen inTable IV. A subset of survey items were repurposed from
Paper ID #48438Preparing Fab-skilled Engineers for the U.S. Chip Industry Through Hands-onIntegrated Circuit FabricationDr. Sandip Das, Kennesaw State University Sandip Das is an Associate Professor of Electrical and Computer Engineering at Kennesaw State University, GA, USA. Dr. Das received his Ph.D. in Electrical Engineering from University of South Carolina, Columbia, in 2014. He has 15+ years of research experience in semiconductor materials and devices. Dr. Das has authored more than 35 peer-reviewed journal articles and conference proceedings, and has authored two book chapters. He has served as a PI/Co-PI for various
class upbringing as well as a decadeworking with community groups in northern Haiti on ecological sanitation projects. As a white,cisgender, straight-presenting, US trained engineering professor with the associated privilegesafforded and potential biases, she is working to learn from colleagues and students holding otherintersectional identities about their experience of engineering culture in an effort to expand bothits welcome and self-critique. Her motivation for creating the class was to create space fordiscussion, reflection, and peer to peer co-learning around engineering and social justice issues -something that would have helped her thrive as a female engineering student. 3. Course Description Following a faculty learning circle
-economic disparities, inadequate K-12 preparation, and social isolation[8-9]. Studies have shown that these students often experience lower self-efficacy and a weakersense of belonging, which can negatively impact their persistence in engineering programs [10-11]. According to researchers, well-structured first-year seminar courses permit students toexperience a better transition from high school to college, understanding the new expectationsand work demands, developing time-management and study skills, particularly for students atrisk [12]. Besides, small group seminars facilitate the interaction with faculty and peers creatinga community of support leading to a better outcome of persistence and performance [13]. First-year seminars offer also an
groups showed increased curiosity in Faith & Ethics and Aesthetics & Creativity.While engineering students maintained higher overall curiosity in Science & Problem Solvingcompared to their peers, and non-engineering students showed higher curiosity in Diversity & TheCommon Good, both groups demonstrated similar growth patterns in humanities-oriented domains.This suggests that while students may enter college thinking they are primarily curious aboutspecific disciplinary interests, their intellectual curiosity can expand into new domains during theirfirst semester. 1.8 Non-EGR Students - Start of Term
racial diversity decreases, and thefact that between high school and graduate school or the profession the racial diversity of theengineering field decreases [4], then we can presume that undergraduate engineering educationcontributes to racial inequity. Although many aspects coincide within undergraduate engineeringeducation, including advising, finances, curriculum, pedagogy, grading, peer groups, etc., we canpresume that classroom practice constitutes a bulk of student lives and therefore is a primaryplace we may expect to find mechanisms of racial inequity.Methodologically, classroom observations through ethnography or video research are theprimary tools for investigating classroom practice and interaction as mechanisms of inequity.While
policy for AI, it is relevant to share the boundaries bywhich this course approached using AI on assignments. In line with the university and departmentpolicies, this course allowed AI on homework and laboratory assignments while requiringstudents to document its usage consistent with receiving help from another resource (such as helpfrom a classmate). Each assignment type has unique limitations. Quizzes and tests, for instance,are individual effort so no outside help is authorized. Homework and laboratory write upsauthorize help from other students, but the work must be primarily that of the submitter. Thus werequire students to specifically state what they received help on for a given problem (e.g. helpwith a particular stein a problem, how to
-projects were designed to re-inforce active learning, enabling students to engage with the material through practical exercises.For instance, during the week on circuits and sensors, students built a light-dependent circuit. Thisapproach not only deepened students’ understanding of the current week’s IoT concept but also in-troduced skills that would be valuable in their semester projects and future personal IoT endeavors.A further example of a mini-project involved learning to read and write digital and analog valuesin a microcontroller, demonstrating the practical application of IoT concepts.This was a project-based class, but a few knowledge quizzes were given to test certain concepts,such as definitions, formulas, or engineering scenarios
’ interests and can lead to an increase in student engagementand agency.Recent innovations aim to address these limitations by integrating ML and NLP technologies intoautograding systems. These advancements enable tools to assess nuanced aspects of code, suchas design patterns, code readability, and logical structure [4]. For instance, ML models can ana-lyze code comments and programming styles to provide more personalized and detailed feedback.These systems balance the efficiency of automation with the depth of personalized evaluation,particularly for open-ended and creative assignments [5]. Furthermore, peer grading systems andML-based similarity detection are being explored to handle diverse outputs in open-ended projects.These innovations hold
same access to STEM as their typically developing peers,specifically, as discussed in this paper, access to computational thinking and robotics. We reporton the co-design of technologies for Opportunities for Robotics, Building, and InnovativeTechnology (ORBIT), an educational robotics program for autistic middle school studentsdesigned to integrate learning computational thinking (CT) practices with executive functioning(EF) skills. The program includes a computer coding component and several student-facingscaffolds. We are developing this program through a research-practice partnership betweenresearchers at a private northeastern university and practitioners at a local public school within asub-separate, special education program designed
equitable teaching practices and encouraged student agency to ensure positive learning outcomes. Their first year of PhD research focused on undergraduate student perceptions of social responsibility in STEMM, with special emphasis on science communication and policy advocacy, as well as the intersection of institutional culture and transformational change towards cultivating more inclusive and equitable access for underrepresented STEMM students. They are currently exploring undergraduate perceptions of STEM mentorship within student organizations and near-peer mentorship between undergraduate student mentors and K-12 student mentees within educational out-of-school time STEM programs. Outside of their research, they
design firsthand, fostering a deeperappreciation for the importance of integrating diverse perspectives and disciplines inproblem-solving.This paper describes the redesign of the Introduction to Engineering Design course for Fall 2024.The structure and rationale of the course design is discussed, including the integration of theEOP Framework and an assessment method based on writing engineering memos. Results of anIRB approved (Protocol 2232887-1) survey taken at the beginning and end of the semester arealso included. The goal of the survey was to assess how the students’ understanding of theinterconnected nature of design decisions, especially in terms of how sustainability encompassesmore than just environmental concerns, evolved throughout
, collaborating/working on a team 6 research Conducting theory, practice, critiquing, writing, presenting 18 Development of content, assessment, pedagogy, EngE teaching research driven teaching 16 other Did not fit into an identified category 7Of the 67 POs, 34 (50%) focused on research or teaching. 21 POs (31%) were in the categoriesof career, DEI, engineering expertise, engineering education issues, and professionaldevelopment.The remaining 13 POs (19%) were not neatly categorized, as we disagreed on the category (6),or the POs did not fit into an identified
included their research experience, fieldof study, or the life events that led them to this program. Student choices of topic were diverse,and some created multiple story spines. Most students wrote about the life events that led them tothis program, with many others writing additional story lines about their love of science, thesummer research experience, or aspects of their research project.The incubators were intended to foster a low-stake space for experimenting and practicing.Students had fun creating narratives about familiar topics, while also practicing and developingskills for effective communication. Additionally, students shared their work with each otherduring the incubator sessions helping them to learn from everyone’s experiences
to the absence of immediate feedback from instructors and peers, making the understandingof demographic influences on self-regulated learning essential for recognizing the specificchallenges diverse learners face. Additionally, Tinto’s Model of Student Retention underscoresthe significance of institutional support and personal commitments in influencing students’academic persistence [10]. This model is especially pertinent when considering the timemanagement challenges experienced by students from various demographic backgrounds, asminority students frequently encounter unique pressures related to cultural expectations andresponsibilities, complicating their capacity to allocate time for academic pursuits [11]. Bysituating this research
dealt with this issue. In thePrairie View A&M University (PVAMU) Chemical Engineering Department (CHEG), studentswere provided with videos of the instructors describing and displaying lab equipment andperforming the lab experiments for the course. Representative data for the experiments wereprovided to the students for their analysis and they were asked to combine what they learned fromthe video and their analysis of data to write lab reports. While an effective approach under thecircumstances, it lacked the first-person, immersive experience that is crucial to developing deeperknowledge and understanding (Bonasio, 2019). This deficit was an instructional limitation as wasfaculty lack of videography expertise which made the remote
. She has worked extensively with K-12 educators around the Great Lakes area and had led inquiry-based teacher workshops on Beaver Island at CMU’s Biological Station. She is the co-author of two books, one that explores the intersection of science and writing, the other interdisciplinary teaching approaches. She has received prestigious grants and fellowships, such as the American Association of University Women International Fellowship, for her doctoral work carried out in Kenya on spotted hyena behavior.Itzel Marquez, Central Michigan University ©American Society for Engineering Education, 2025 Lowering barriers for marginalized students through equitable multidisciplinary
ofSTS from a range of faculty perspectives. (2) To explore key STS texts by writing argumentativeessays and completing project-based assignments that engage in basic ways with secondarycriticism, theory, and/or history, etc. (3) To practice course discussion skills in the classroomthrough a seminar-style format. (4) To address contemporary and emerging societal challengespresented by a range of developments in various forms and fields of technology and science,while also probing the historical, philosophical, material, and theoretical backgrounds andtrajectories of such global challenges. (5) To give a formal presentation on and write/create afinal paper/project at the end of the term that explores objectives 1, 2, and/or 4 above. Studentsare
conflicts of interest affectingacademic researchers. First, there continues to be a significant push to get more graduate studentsinvolved in technology commercialization through university-based initiatives or nationalprograms such as the NSF’s I-Corps. Second, in a class we teach on technology entrepreneurshipand research translation (see Duval-Couetil, Ladisch, et al., 2021), we observed that graduatestudents had limited awareness of potential conflicts that can occur when engaging inentrepreneurial activity.Each year, students in this course attend a lecture on COIs relevant to academicentrepreneurship, presented by an administrator from our university’s Office of Research. Afterthe last lecture, we asked students to reply in writing to the
is a practical underpinning forconsidering curricular revisions across curricular levels (e.g., course, multiple courses, or project).Figure 1. Elements from Lattuca and Stark’s [23] Academic Plan Model were used as a theoreticalunderpinning for our study.Biomedical Engineering Program ContextOur program context is the undergraduate BME program at an R1 institution in the southeasternUnited States. Our ABET-accredited BME program was newly established in 2018, with the firstcohort of undergraduates graduating in May 2022. At the time of writing, our BME programcurrently enrolls ~250 undergraduate students seeking a B.S. in BME, with an additional ~80students pursuing a minor in BME. For over two years, faculty across the tenure and
. ● Use concept mapping to help identify open questions in your research project and collect information needed to understand your research opportunity. ● Identify key stakeholders for your research project and describe the interests of those stakeholders. 2. Thriving in a ● Describe the importance of using SMART goals to be able to answer your Research Environment research question and make connections between your research and the interests of stakeholders. ● Practice writing SMART goals for next steps in your research. ● Prepare a goal-setting plan that
ofcompleting assignments during lab hours. As a result, students can approach the assignedproblems at their own pace. During the lab session, students engage with the problems anddiscuss their solutions with peers, sharing thoughts on problem-solving strategies. Some studentstake on teaching roles, which reinforces their understanding of concepts. In hands-on activitysessions, they exchange a variety of ideas related to the assigned problems. A tangible hands-onmodel allows them to demonstrate different static conditions, often leading to those enlightening“aha” moments with the models. Overall, students enjoy lab sessions and make the most of themto succeed in Statics class. Some students hesitate to attend office hours or SI sessions due totime
careershave a stronger purpose in life [11]. In a university engineering setting however, this could provechallenging for undergraduates whose end goal is to work in industry as many faculty have onlyknown academia, and lack industry experience. Kirschenman writes “Engineering is aloneamong professional careers that try to educate future professionals with people that are notproficient in the practical side of the profession” [12]. Therefore, it is imperative thatundergraduate students are connected with professionals who have the real-world, hands-onexperience in the workforce that they hope to pursue in the future. Particularly in an engineeringfield, mentoring is a high impact practice that can assist students in reaching the next stages oftheir
industry soft skills in engineering” • “AI use in engineering classes” • AI AND “measuring engineering soft skills” • engineering AND (“academia-to-industry readiness gap” OR “industry readiness gap”) • “impact of using AI to teach engineering undergraduates industry skills” • “undergraduate engineering curriculum using generative AI” Table 1. Search Criteria In screening the articles reviewed in the general search, specifics were looked forinvolving a combination of engineering, AI, professional skills, and the assessment of these skillsin engineering curricula while emphasizing criteria such as scientific rigor, peer reviewedarticles, and impact factor
“general” engineering) provides opportunities and risks. Forexample, program graduates may be—or may be perceived to be—better able to fulfill the ABETstudent outcome B5, “…understand ethical and professional responsibilities and the impact oftechnical and/or scientific solutions in global, economic, environmental, and societal contexts”yet less able to fulfill outcome B1, “…applying knowledge of mathematics and science and/ortechnical topics to areas relevant to the discipline”. The first cohort of students in the programare currently in their fourth year of study. In this paper, the author (who is external to the institution being studied) will firstoverview the department’s curriculum and compare it to the most relevant peer programs
addition, one of our primary goals is to support and engage in the co-creation of artifacts,collaborating with participants to transform data into practical tools and resources, such asdesigning homes with diverse stakeholders. This method emphasizes producing tangibleoutcomes that reflect participants’ lived experiences and aspirations. On the other hand,immersive approaches of observing participants’ environments and social realities in real timecapture moments that cannot be reproduced, contrasting with objectivist research paradigmsfocused on replicability (Lederman 2023). The significance of these different orientationstowards research is explained by the anthropologist Rena Lederman who writes: Being with people wherever they actually
5-10 hours 10-15 hours Other: (Please fill in .)These four questions, SQ5 – SQ8, evaluate the team's efforts during and outside the competitionseason. Since the FTC program aims to strengthen community impact, the survey also examinesthe team's involvement in outreach activities.SQ9: Does your team have training sessions on the following topics? Encoder Odometry Camera/image processing Programming CAD CNC Control Presentation Safety Collaboration Documenting Other : (Please list ) If you have multiple training sessions on a topic, please write the number of
▪ Hardware and software troubleshooting 14-15 ▪ Troubleshooting (problem-solving; 8 ▪ Analysis of problems and discussion of adjusting the software and hardware) improvements 16 ▪ Presentation and peer evaluation The program was structured differently for middle and high school students according tolevels of achievement (Table I). The middle school program consisted of 16 lessons, which wasroughly double the time required for the high school program. This was because high schoolstudents had prior knowledge of physical computing and did not require additional learning onmicrocontrollers, resulting in shorter lesson times. Both programs began with an introduction tosmart farming, and the hardware
[18,19] based on the knowledge transfer frameworkof Belenky and Nokes [20,21]. Multiple investigators conducted the interviews and analyzed theresulting data before peer debriefing within the project team was used to develop and integratethe resulting themes and discuss patterns in the data.These first three implementations of the think aloud protocol and problem solving activity arefurther detailed in [10-12]. A summary of the major findings of these activities is as follows: ● Across all implementations, only one UG student was able to correctly solve the problem without any additional help or prompting. ● The accuracy and completeness of the prior knowledge required to solve the problem appeared to differ significantly