facilitatorscreated an environment that encourages participants to engage deeply with the changes they wishto see in their teaching or professional practices. Rather than simply discussing challenges orideas in a theoretical way, the groups are actively encouraged to identify specific areas ofimprovement, whether in pedagogy, collaboration, or other professional aspects. Once theseareas are identified, the facilitators guide the participants through a structured process ofreflection, goal-setting, and planning, providing the necessary support and resources to helpbring these changes to fruition. This approach ensures that the discussions are not only thought-provoking but also lead to tangible transformations that participants can apply in their
, “Bridging the gap: Embedding transversal skills in engineering doctoral education,” in 2024 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON 2024, in IEEE Global Engineering Education Conference. New York: IEEE, 2024. doi: 10.1109/EDUCON60312.2024.10578771.[8] “Knight Campus Strategic Plan | UO Knight Campus.” Accessed: Feb. 08, 2024. [Online]. Available: https://accelerate.uoregon.edu/strategic-plan[9] IDEO, “Design Thinking,” IDEO | Design Thinking. Accessed: Feb. 08, 2024. [Online]. Available: https://designthinking.ideo.com[10] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering Design Thinking, Teaching, and Learning,” J. Eng. Educ., vol. 94, no. 1, pp. 103–120, Jan. 2005.[11] Blaine, M., &
explaining its technical underpinnings, showcasing itspotential for enhancing student learning, and addressing its limitations. They serve as flexibleresources for faculty across various disciplines.Finally, we create multidisciplinary course modules that explore generative AI’s applications andimplications. These modules address critical topics such as misinformation, socio-ethicalconcerns, biases, and errors, encouraging faculty and students to engage thoughtfully andcreatively with AI technologies.Looking ahead, we plan to establish a research community to foster interdisciplinary scholarshipon Generative AI Literacy. This initiative will provide a collaborative environment for advancingresearch and sharing best practices. We also plan to develop
found the microplastics can reach up to 117 per square meter. All of theplastics are secondary plastics, which are derived from the breakdown of larger plastics. Thebackground outlined above highlights the challenges posed by microplastic pollution in the GulfCoast region. To address these issues and engage undergraduate students, an NSF REU site hasbeen established at the University of South Alabama. This project integrates expertise from fivedistinct fields to detect, quantify, and characterize microplastics along the Gulf Coast, as well asto explore their recycling and reuse.2. ObjectivesThe REU site plans to recruit a cohort of 10 outstanding undergraduate students each year. Underthe guidance of five professors from diverse fields
Education Division, a division she has chaired. Her current research includes investigating how K-5 students plan, fail, and productively persist, and how simulated classroom environments can be used to help pre-service and in-service teachers practice facilitating discussions in science and engineering. ©American Society for Engineering Education, 2025 An Investigation of Team Conflicts Among First-Year Engineering Students (Year One of NSF PFE: RIEF)Study ContextTeam-based design projects are an essential element of an undergraduate engineeringcurriculum. Many students in engineering programs are assigned their first long-term team-baseddesign project in the context of
who provide personalized guidance on academics, skill-building, and career planning. Mentorship has proven especially effective for underrepresented students, fostering academic progress and bachelor’s degree completion among low-income students [7, 8, 9].• Early Alert MAP System uses individualized My Academic Plans (MAPs) to monitor student progress, track credit accumulation, and ensure timely graduation. This proactive system, recommended by the National Center for Women & Information Technology, triggers alerts when students face academic challenges, enabling timely interventions through meetings with advisors, instructors, and support staff to keep students on track [10].• Savvy Tech workshops, led by MDC’s
thefundamental principles of electrical engineering such as quantities and their units, providingexposure to electronics and the laboratory environment. Modules cover various aspects ofelectrical engineering in both analog and digital domains such as basic circuits with applications,including historical context, measurement units, and laboratory techniques. The courseincorporates project-based learning with basic component-level design, simulation, and circuit-level practices.Course 2: Electrical Engineering Clinic I: This course focuses on developing a comprehensiveunderstanding of the laboratory environment, covering topics such as laboratory safety protocols,basic equipment operation, requirements interpretation, and test plan creation and
that were doing better than peers in graduation of women orunderrepresented groups (e.g., Black, Latine). We compared findings from the IPEDS databasewith departments that were actively engaged in developing departmental BPC plans as anindicator that the department was involved in organizational change efforts related to BPC. Wealso sought departments that had experienced success in increasing degree completion of someunderrepresented groups, though not others; for instance, a department that had improved thegraduation of women but not Black undergraduates. We selected these departments becausesuccess in select areas but not others would indicate a site where we could learn the most aboutaffordances and obstacles to BPC-related change.Data
Education, 2025 ASEE 2025 NSF INCLUDES Research Experience and Mentoring (REM) Program for FuSe Interconnects: Enabling Transitions into the Microelectronic EcosystemAbstractThe NSF INCLUDES Future Semiconductors (FuSe) Interconnects: Enabling Transitions intothe Microelectronic Ecosystem REM Program supported a collaborative ideation workshop withresearch PIs, industry members, and Inclusive Engineering Consortium faculty. The workshopwas focused on increasing the microelectronic talent pool. The research plan intentionallypositions engaging experiences at essential transition points throughout the microelectroniccurriculum by embedding microelectronic-centered
interdisciplinaryresearch and skills has surged in the last decade, with U.S education policy emphasizing a needto transcend traditional disciplinary boundaries to address current and future global challenges[1] [2]. While all NSF NRT Programs have fully embraced interdisciplinary graduate research[3] [4] [5] [6], our efforts have extended to developing and maintaining strong collaborativebonds across institutional programs. While cross-instructional partnerships may take longer tostart-up and require high levels of planning and communication, they are advantageous tocomplex research undertakings as they leverage existing research resources, strengtheninvestigator development and productivity, expand research opportunities, increase impact, andfacilitate problem
train-the-trainer model.In Phase 1, we will train 10 undergraduate students over two semesters to apply ethical-epistemicanalysis to climate adaptation plans from 15 megacities. Students will undergo systematicthematic analysis using Atlas.TI and refine their understanding of ethical and epistemic themes.Atlas.ti will be used to support abductive coding by combining both deductive and inductiveapproaches. We will start with a set of predefined codes based on existing theories of ethical-epistemic analysis (deductive), applying them to climate adaptation plans. As students analyzethe text, they will also identify new, emerging themes directly from the data (inductive).Atlas.ti’s tools, like code co-occurrence and memoing, will help compare and
pages of data.We are using NVivo software to analyze these transcripts, applying the components of SCCT asa priori codes. After we complete this round of coding, we plan to inductively code the data tocatch any relevant data that may not directly map to SCCT. Finally, we will review the data inthese codes as a team for salient themes and answers to our research questions.Preliminary Results and DiscussionThe data have so far confirmed our previous findings. Multiple participants expressed beingunaware of Quality Engineering and related fields as undergraduates. Some participants learnedabout QE through career fairs and networking as undergraduates. The participants viewed R&Dengineering as the most coveted role for BMEs whether or not they
three programs that are the focus of ourstudy and the size of their alumni populations. In Fall 2024, we deployed the GCIS to the alumnilistservs of these programs and left the survey open for three weeks. We also used social mediaposts and flyers as part of the recruitment process. Through this recruitment and some additionaltargeted recruitment after the official survey window, we obtained 578 complete surveyresponses (Purdue – 346, Rhode Island – 182, Cincinnati – 50). These responses were generallywell-distributed across majors, industries, and years of the program (we will show thesedemographics on the poster). After reviewing the target group participants’ demographics, weworked with the alumni offices at each university to plan a
program's impact on the mentees and mentors. All seven current mentor-menteematches involved in the IMPACTS inclusive mentoring hub were invited to complete the survey.Four mentees and six mentors responded and completed the survey.Mentee Survey ResultsAll four mentees rated the IMPACTS mentoring program as “excellent.” In order to determinethe features of excellence, the survey included questions regarding the mentoring experience (seeTable 1). The only survey items mentees were not in complete “yes” agreement on were relatedto their mentor helping them improve their academic career planning, achievement, or goals andcomfortableness talking with the mentor program coordinator about the mentoring experience(one indicated “somewhat” for each item
, graduate students are still completing monthly reflections and are meeting with theirindustry mentors. Moving forward, we plan to conduct follow up interviews with students whocompleted the MCTQ in the Fall 2024 to gain insight into the reasoning behind their responses.Additionally, we plan to interview the non-academic mentors to determine their perspectives onthe projects, and improvements that can be made in the future.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.224724 and the Graduate Assistance in Areas of National Need No. P200A210109.References[1] A. Collins, J. S. Brown, and S. E. Newman, “Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics
Paper ID #45798BOARD # 451: S-STEM: Building and supporting a robust transfer pipelinein Computer Science, Mathematics, and PhysicsDr. Stan Kurkovsky, Central Connecticut State University Stan Kurkovsky is a professor at the Department of Computer Science at Central Connecticut State University. He earned his PhD from the Center for Advanced Computer Studies of the University of Louisiana in 1999. Results of his doctoral research have been applied to network planning and industrial simulation. Dr. Kurkovsky served and continues to serve as a PI on a number of NSF-sponsored projects, including four S-STEM grants, three IUSE
associated study were launched at Colorado Schoolof Mines, supported by NSF (National Science Foundation) BPE Track funding. Based onfeedback gathered during Fall 2024, significant changes in training content were made to alignwith student needs moving forward. Additional tweaking is set to occur in Spring 2025 and willbe reflected on the poster session in Summer 2025. With continued funding, the BASE Campprogramming is planned to resume in the 2025-2026 academic year, accompanied by ongoingdata collection to evaluate progress and success metrics.Curriculum PlanThe teaching and peer leadership objectives of the BASE Camp program emphasizecomprehension, self-reflection, and practical application of knowledge. Detailed informationabout the curriculum
third phase is Qualitative (QUAL).The first phase, a basic qualitative interview study, has been completed, and its findings werepresented at the ASEE Annual Conference in 2024. A summary of the overall NSF researchproject plan was shared in a poster presentation [11]. Moreover, the preliminary findings fromthe first phase based on the analysis of workplace stories from early-career engineers on ethicaland equity-related issues were presented in the ethics division of ASEE [12]. Topics raised byresearch participants included quality control, safety, doing work beyond one’s expertise, equityin pay and promotion, the ethical environment of the organization, and conflicts of interestinvolving the desires of different stakeholders. The findings
Coordinator who plans opportunities based on assessments of students’ needsand interests, with an increased emphasis on involving industry partners in career development.Achievements, including Center awards, poster awards, selection for limited-appointmentprograms, and other honors are announced on the CBBG social media sites, weeklyBioGeotechNotes emails, and distributed through all partner university communications offices.Industry Interaction - CBBG industry members engage with students in multiple ways,including teaching courses, serving dissertation committees, co-authoring papers, working on(and supporting) research projects, providing internships, contributing to design challenges, andparticipating in webinars. Entrepreneurship and innovation
research and resilience. Michigan Tech’sOffice of Sustainability and Resilience engages in cutting-edge research on renewable energyand climate adaptation, while UIUC’s Institute for Sustainability, Energy, and Environment leadsefforts in climate action planning. Despite these achievements, both institutions could improve5their economic sustainability by expanding industry collaborations and seeking public-privatepartnerships for sustainable infrastructure projects (Lozano et al., 2015).Southwest RegionArizona State University (ASU) and Prairie View A&M University demonstrate different scalesof sustainability commitment. ASU, home to the School of Sustainability, is a leader inrenewable energy implementation, with campus-wide solar energy
. Joyce B. Main, Purdue University at West Lafayette (PWL) (COE) Joyce B. Main is Professor of Engineering Education at Purdue University. She received an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education, and a Ph.D. in Learning, Teaching, and Social Policy from Cornell University. She is Co-Editor-in-Chief of the Journal of Engineering Education. ©American Society for Engineering Education, 2025 A focus on state-wide community college and technical college engineering transfer programs across California, Colorado, and GeorgiaIntroduction With college costs increasing faster than inflation over the last 20 years, some studentsface
tostructure planning and reflections. The learning scientist convened several weekly hybridmeetings with instructors, where they had the opportunity to discuss challenges and successeswith their projects and seek guidance from peers and the facilitators. The facilitators highlightedconnections between what they were doing in their classrooms and education research,reinforcing when their work aligned with research-based practices. Towards the end of thesemester, CoP members engaged in guided reflection and sharing of what they learned.MethodologyQuantCrit is a relatively recent approach to using quantitative analysis in service of critical aims[21]. This stance explicitly acknowledges subjectivity in quantitative methods [22] and directlyengages
indicated plans totransfer out and 1 withdrew. Below is a table that summarizes the outcome from both decisionperiods. Table 2: 2023 Cohort Progression Decisions Progression Decision Number of Students Progressed to major 14 Non-placement extension 4 Placement extension 2 Plan to transfer out 2 Transfer out 2 Must leave College of Engineering 6 Withdrew/dropped from
. ©American Society for Engineering Education, 2025 WIP: Teach Fast Fourier Transform Through a Web-Based Interactive Visualization ApplicationAbstractThis Work-In-Progress paper presents the design and implementation of a web-based interactivevisualization tool to help students understand and implement in software a Decimation-In-Time(DIT) Fast Fourier Transform (FFT) algorithm in a Real-Time Digital Signal Processing (DSP)Systems course. The paper will also discuss the assessment plan to evaluate the effectiveness ofthe application.IntroductionFast Fourier Transform (FFT) is one of the Top 10 Algorithms of 20th Century by the IEEEmagazine Computing in Science & Engineering [1]. It is an efficient way to compute
significance has yet to be tested, preliminaryobservations indicate that differences in these rates between FG-PLSG students and non-PLSGFGCS are far smaller than the fourfold greater likelihood of program dropout reported in otherresearch [1]. This finding in itself underscores the potential of the PLSG model to improveretention among FGCS, demonstrating its value as a supportive intervention.In the future, we plan to investigate whether the PLSG intervention improves FGCS self-efficacyand/or sense of belonging by comparing survey responses from FGCS. These surveys includedrankings of factors such as sense of belonging to [the institution], sense of belonging with theengineering community, sense of belonging with other engineering students, perceived
to conjointhese two approaches into long-term longitudinal studies where same-participant assessments from theuniversity years are coupled with assessments at time points substantially into the career years. ThisWork in Progress Paper presents intermediate observations from such a study underway at the Gordon-MIT Engineering Leadership Program (GEL) at Massachusetts Institute of Technology. Here we sharefindings from survey instrument evaluation and from the instrument’s initial use in longitudinal (pre-and post- program segment) assessment. We then outline plans for its expansion to additional timesin the longitudinal sequence, summarize the approach’s limitations, and review plans to further expandit for use in adjacent leadership and
undergraduate engineering students to address thetime spent on various design activities in an engineering design team-based course at an R1institution in the United States. We adapted an intake form to report hours weekly in anengineering design course. For the first stage, using student input, we translated this data intoindividual dashboards that were returned to the student teams every two weeks. For the secondstage, we plan to conduct interviews to understand the process. A further implementation of thetool involves using the data to make data-driven decisions at the curricular and planning level forinstructors. Findings can be translated into the many engineering-design courses required by theABET accreditation agency in the United
be utilized in Steps 3 and 4.The expected benefits include: 1. The virtual AND Gate will allow the students to visualize how the AND Gate works before building the physical circuit. 2. Escaping confinement aims to familiarize students with the content, motivate their learning, and increase engagement. 3. The time-based competition may realize the deep-learning process as the participants are encouraged to solve a problem under stress.To evaluate the effectiveness of this VR application, we plan to conduct an experiment onceapproved by the university’s IRB. Participation will be voluntary; students can receive the game-based VR training before performing the fifth step in the suggested pedagogy. The following datawill be
their client. We facilitated relationship-building activities, such as team icebreakers,group lunches, car rides, immersive brainstorming sessions, and informal chats with the clientover snacks and drinks. As the sprint evolved, we observed the students and client becomingincreasingly comfortable sharing ideas and suggestions with each other.For future program iterations, we aim to expand our collection of program assessment data intwo key ways. First, we would expand the post-program longitudinal data collection , enablinganalysis of the impact of the design sprint on student success during senior capstone. We plan toexpand our data collection to include CATME team assessments throughout the academicsemester, which will provide insights on
opportunities to enact their agency, resulting in perceptions that their agency islimited to less consequential domains. Second, this may reflect problematic peer relations, inwhich microaggressions play out in ways that limit certain students’ opportunities to enact theiragency. In our on-going work, we plan to investigate these differences further and also plan tolink survey results to evidence of student learning on post-lab technical reports.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under GrantNos. 2203230 and 2203231. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science