student reflections on their experiences in BME 2081. However,further iterations are needed to address specific areas for improvement.This is only a preliminary analysis and looking ahead, we plan to use longitudinalmixed-methods to triangulate the long-term impact of this course transformation using courseartifacts, surveys, and focus groups/interviews as students continue their careers through seniordesign and beyond. This preliminary analysis is limited by the fact that we only used courseartifacts which were graded assignments and therefore could impart some bias due to powerdynamics or hesitancy to speak freely. As we continue this course transformation, we areinterested in investigating students' thoughts on the importance and intrinsic
. Currently, she is a postdoctoral scholar and project director for an NSF-funded research study led by the ACCEYSS Research Group in the Department of Organization, Workforce, and Leadership Studies (OWLS) at Texas State University. Dr. Hough’s research includes cultural capital among Black and Hispanic women in computing, work-based learning in secondary schools, and career and education planning and decision-making among young Black women. In addition to conducting education-centered research, Dr. Hough shares her expertise as a part-time lecturer, teaching introductory leadership and STEM education program evaluation courses in the OWLS department. Her passion is empowering young people with valuable knowledge, skills
Education and Faculty Engagement at NYU. Each workshop integratedinteractive discussions, real-world scenarios, and practical strategies. The initiative also incorporatedmaterials from Aspire’s Inclusive Professional Framework (IPF), developed by the NSF Eddie BerniceJohnson INCLUDES Aspire National Change Team. Feedback from pilot sessions was used to refine thecontent, ensuring its relevance and effectiveness.3. Plans for Sustainability at each Alliance institutiona. New York University (NYU) To ensure the Project ELEVATE initiatives are sustained, NYU Tandon School of Engineeringestablished a new position of Associate Director of Faculty Development to assist the Director of FacultyDevelopment in organizing and managing a variety of
a complex range of pedagogical, social, and cultural factors; thesefactors justify the development of evidence-based pedagogical recommendations to supportstudents in using Generative AI ethically and effectively. We plan to elucidate relevant factors andrecommendations through our RFE study. For now, our pilot findings suggest three items that arepertinent to the use of Generative AI in design pedagogy: (1) ChatGPT offers salient and novelperspectives for students to consider; (2) ChatGPT should not replace engineering judgment; and(3) Instructors should provide clear guidance for AI use in courses.The two investigators on this project (Hess and Loweth) are both engineering educationresearchers who have taught engineering design for
available or paid data sources to obtain employment information.3.3. Recommended Actions:Based on the above analysis, we propose the following brief recommendation • Enhance Funding Strategies: Partner with federal agencies, private foundations, and industry to secure resources. • Expand Student Support Services: Increase financial aid, mentorship, and professional development opportunities. • Invest in Data Infrastructure: Develop centralized systems for data collection and analysis to support strategic planning.4. ConclusionAlthough this case study focuses on a single institution at TSU, its findings offer valuableinsights for other HBCUs and minority-serving institutions pursuing similar goals. By sharingstrategies and lessons
diversity and constructive disagreement, intellectual property, copyright and patents,poster preparation, graduate school, and prestigious scholarships & fellowships, and effectivelytalking about research. Based on the student interest, we plan to extend this training for OSUthrough virtual meetings in the following years.Of the nine students, six successfully completed their projects. All students presented theirwork on the program’s final day, with participants from both sites attending the presentations.Each student also prepared and submitted a final project report. Two students’ work led toconference papers: one on federated learning for human activity recognition, which wasaccepted for a poster presentation, and another on willingness to
complex topics having moreintrinsic load, such as engineering topics requiring a foundation in science and mathematicsbefore they can be comprehended. In addition to this, however, lessons often have extra or“extraneous” load, which refers to the cognitive load a student takes on to organize new andunfamiliar knowledge. Thus, an ideal lesson plan would limit extraneous load as much aspossible by organizing and dividing its material. Knowledge that has been learned in anorganized fashion is also easier for the student to recall later, as it is more interconnected withother information (11). Physical models can help reduce the extraneous load of having tovisualize phenomena from a text description or two-dimensional illustration. Currently
own writing teams, the UREfaculty each created shared lessons to help students write and submit a research paper forpublication. Students provided faculty with feedback on the lessons before they were publishedon J ATE online platform.The URE staff met online with the faculty cohort five times. The plan had been for the faculty tomeet during Summer 2023 to develop lessons that would be delivered to the students starting inFall 2023, but a delayed start date, plus extended time to recruit the faculty cohort, pushed theprogram start into the Fall term. The faculty kickoff meeting in October 2023 was followed byan abbreviated version of the Scientific Communication Advances Research Excellence(SCOARE) workshop, which has been shown to improve
program extends these principles to TAs.By emphasizing mindset, metacognition, and memory (the 3Ms), we equip TAs to foster agrowth-oriented environment and better support student learning. TAs play a critical role inshaping the learning experience, particular through their feedback to students—both written andverbal. This feedback offers TAs a unique opportunity to observe student challenges and impactfuture student learning and behavior. As a result, we have prioritized TA communication skillswithin relevant teaching contexts to ensure they can effectively meet these responsibilities.Figure 1. Timeline of TA training program development.Metacognitive behaviors – the ability to plan, monitor, and assess your own understanding andperformance
nuances. This emphasizes the need for more research on developingAI-powered systems that perform in-depth analysis of students' reflections. Such a system shouldgive educators insightful information about their students' Learning Outcomes (LO) andchallenges, enabling them to modify their courses and plan for future improvements. In ourprevious works [4, 22], we developed a reflection analysis tool that uses NLP and LLM methodsto extract students' learning outcomes from their class reflections. The main goal was to provideinsights to instructors for improving course content, instructional strategies, and evaluationmethods through an interactive dashboard that dynamically displays students' learning outcomesand challenges. To address the
students in Fall 2023, teaching approximately 1300 students each year. Matthew recently defended his dissertation in February 2025 and plans to pursue a career in academia teaching first-year engineering students starting Fall 2025.Jessica Bowers, Auburn University Jessica Bowers serves as the Manager for Career Development Content and Strategy in the Samuel Ginn College of Engineering (SGCOE) at Auburn University. She holds a Master’s degree in College Student Personnel from the University of Tennessee, Knoxville. With over a decade of experience providing student academic and career advising support, Jessica joined the SGCOE to support the launch of the college’s first Office of Career Development and Corporate
) course to all first-year students in Fall 2023, teaching approximately 1300 students each year. Matthew recently defended his dissertation in February 2025 and plans to pursue a career in academia teaching first-year engineering students starting Fall 2025.Lucila Marcela Carias Duron, Auburn University Lucila M. Carias earned her B.S. in Chemical Engineering from Universidad Centroamericana ”Jose Simeon Ca˜nas” in El Salvador in 2018. She continued her academic journey with a Master’s in Process Engineering from the same university in 2021 and a Master’s in Integrated Management Systems from Nebrija University, Spain, in 2020. Lucila has four years of professional experience in the flexible packaging and recycling
alternatives (including their economic impact, social impact, etc.).Engineers need to be skilled decision-makers and evaluators, emphasizing the evaluation ofeconomic impact of those recommendations and decisions as taught in engineering economics.Course DevelopmentDeveloping a new course for undergraduate engineering students from many different programscan be burdensome with the amount of coordination required across different academic units.Some of the departments wanted their students to take a course like this early in the curriculum,so the course was developed with first- or second-year engineering students in mind with limitedexposure in any specific degree plan. This removed any minimum math requirement and allowedthe course to be developed to
, the fixture must allow testing the concept in multiple configurations, sothe setup is interactive in a live demonstration to the class.The project component is assessed based on three deliverables namely (i) demonstrationproposal, (ii) critical design review, and (iii) project presentation and report. For the first twoteam deliverables, teams meet with the instructor/TA. Demonstration proposal is a deliverablewhere the teams present their plans along with a brief description of the statics concept that theyintend to demonstrate with their set-up. Projects are approved when the instructor/TA deems tobe within the scope, and it is not a repetition of a project by another team. During the criticaldesign review, teams present their engineering
support an engineering conceptdevelopment from cradle to grave. For SE students, that full life cycle planning and designhappens in their capstone course. The Systems Engineering Capstone class is usually taught asthe last course for any Master of Systems Engineering program. Within the class, students pursuea team project where they apply systems engineering methods to a specific problem. They thencreate the final deliverable with a systems engineering management plan. While students receivestrong technical training within this experience, ethical and justice-oriented skillsets andmindsets are lacking if not non-existent. For example, decolonization strategies – the ability tocritically examine systems and power differentials through systems
test and characterize the QCar platform including thedynamics, sensors, and actuators. Students are expected to design motion planning and controlalgorithms to navigate an urban environment, considering the presence of stop signs, stop lights,as well as the addition of a second vehicle, and they are asked to prototype their algorithms in theQuanser Interactive Labs (QLabs) simulation environment.As part of the initial efforts to train students on the autonomous vehicle platform and to stimulateengagement with the project, the investigators recruited a team of undergraduate students towork toward a self-driving car competition organized by Quanser at the ACC that takes placeevery year in July. The instructors team included two faculty from EET
. Tang, T. Galoyan, and S. Capps, “Board 34: Work in Progress: Simple, Scalable Interventions to Address Academic and Mental-Health Barriers in Engineering Undergraduates,” presented at the 2023 ASEE Annual Conference & Exposition, Jun. 2023. Accessed: Sep. 26, 2023. [Online]. Available: https://peer.asee.org/board-34-work-in- progress-simple-scalable-interventions-to-address-academic-and-mental-health-barriers-in- engineering-undergraduatesMath 116 First Midterm, Fall 2024Reflective Knowledge Inventory and Extra CreditStudents who scored below 50 can increase their score to a 51 by completing the followingthree parts. The completion times are estimates to help you plan. Try not to rush thisassignment and be nice to yourself
confidence entering their first year of an engineering or computerscience program. We are continuing to track student progress throughout their first year toevaluate the long-term impact of the program, particularly the accuracy of our process in placingstudents in the correct math classes during their first year and whether accurate placement leadsto greater retention in engineering and computer science majors. We plan to interview studentsbased on their responses, particularly those who felt that their placement was incorrect, tounderstand why students felt that it was incorrect so that we can continue to improve ourplacement process and its accuracy. We are also interested in students’ math confidence levelsthroughout their first year, as well as
curriculumobjectives and lesson plans can be requested from the primary author, Dr. Danni Lopez-Rogina.All training will seek to meet as many accessibility norms as possible, including captions, screenreader capability, printable scripts, and more. In addition, multiple formats of content will beused to better work with a variety of learning styles, such as lectures, podcasts, readings, andmore.Accessibility of Information SessionsIn order to better meet the needs of students with different learning requirements, time restraints,and physical and mental needs, training sessions are held in three different ways. These include1) scheduled small group (<20 participants) in-person with time for discussion, 2) scheduledsynchronous sessions through Microsoft
. There was a significant difference in whether or not studentsbelieved that the portfolio helped them improve their communication skills between the twosemesters, with 87% agreeing or strongly agreeing in the Fall of 2024 and only 50% in theSpring of 2024. The reason for this difference is still unclear. Most encouraging in these results,and one of the reasons we decided to keep this assignment in the Fall of 2024 even though wedecided not to continue using Connect, was the fact that over 50% indicated that they consideredthis activity a good use of their time and planned to keep a portfolio in their other courses. Table 1 – Results from the portfolio reflection assignment
investment [3]. For instance, Northeastern University employs acustom assessment instrument to evaluate graduate students’ engineering leadershipdevelopment throughout their program [4]. Their assessment provides results that help tailorstudents’ individual development plans. At the University of Kentucky, evaluators distributed asurvey to 10 years of program alumni to assess the influence of an engineering leadershipdevelopment program [5]. Their assessment focuses on whether students demonstrateachievement of program outcomes as alumni rather than providing insight into how students’engineering leadership skills evolved while in the program. Due to their localized nature, theseand other existing instruments are not sufficiently transferable
, and percentage of overall tool use by focal actor. Located in thebottom row of the dashboard, these visuals provide supporting information for the primarygraphics. We focus on instructor behaviour, but include generalized data on student activity,especially for student-centered, active learning activities (e.g., responding to an instructorquestion).For breakdowns, we are looking for unexpected instances or patterns of activity. For example, ifregrouping is coded after using a tool this indicates something derailing the class plan. If this wasa pattern, it would lead to further analysis.3.3 Dashboard Prototype 03: Abstract Functions (Tool Activity > Project-level)The Project-level Activity Dashboard visualizes the data in aggregate
the development of curiosity throughout the first year relate to students' academic performance and their engagement in extracurricular engineering activities? • How can we measure the other components of the KEEN 3C’s (connections, creating value) to ensure students develop a well-rounded entrepreneurial mindset?A mixed-methods approach will be beneficial to gain a more comprehensive understanding ofthe factors influencing retention. While this paper reviews some quantitative data (retentionrates, curiosity survey scores), future papers will evaluate qualitative data (student interviews andfocus groups).In addition, a longitudinal study is being planned to track students' progress over multiple yearsto assess the long-term
related to the virtual format, noting its benefitsfor accessibility but expressing a preference for in-person interaction for certain aspects of theworkshop, such as team collaboration.Participants highlighted networking opportunities as a key benefit across findings, withinterviewees emphasizing the value of interdisciplinary collaboration and the potential for futurepartnerships. Both participants also discussed their plans to integrate workshop content into theirprofessional workflows. However, they acknowledged that doing so would require additionalpractice and reinforcement of the skills introduced during the workshop.Integrating Interview and Survey InsightsIn this section, we synthesize insights from the survey responses and follow-up
these tools into softwaredevelopment workflows, teams can streamline refactoring processes, adhere to design principles, andfoster more robust and maintainable software. This research paves the way for broader adoption of LLMsin OSS projects, contributing to a future where AI and human developers collaborate seamlessly toadvance software innovation.7. Future WorkFor future work, one priority is addressing the limitations of the LLM when it comes to understanding thefull context of a codebase. Currently, the model struggles with larger and more interconnected tasks,where the relationships between classes or components play a crucial role. To improve this, we plan toexplore ways to provide the LLM with more detailed and relevant input, ensuring
next question asked was, “Whendid you start the interdisciplinary part of your work?” The interviewer then probed, as needed,for example to ask, “Tell me about your educational background and training” and “Whomentored or supported you in being interdisciplinary?” Much of the interview’s focal topics werenaturally introduced by the participant without specific probing.Sampling in grounded theory involves theoretical sampling in multiple rounds based onemerging findings, rather than seeking to meet a certain threshold of participants. We have notyet reached saturation in our analyses for this study. We plan to conduct a second interview withthe three participants whose data were analyzed for this work-in-progress paper, as well asexpand beyond
solution of practical problems are developed in a theory-orientedprocess [4, 7, 8].The second step consists of the theory-based development of various prototype designs,taking into account the results from step 1. In parallel, possible evaluation methods formeasuring the effectiveness of the developed intervention measures are developed.In the third step, the intervention and evaluation phase, interventions are carried out in aniterative process with the designs created, scientifically evaluated and then revised. It is oftenadvisable to initially carry out the planned intervention with a single, small target group in afirst evaluation cycle [9]. The need for revision arising from the analysis results of theimplemented interventions is then
multi-generational fishing family, and the other noting the importance of making connections withpartners with industry insight. These themes were reinforced by the nurturers interviewed, two outof three of whom commented on making investments in individuals. The insurer interviewedreinforced the importance of indirect financial savings, noting the significant costs associated withliability (e.g., automobile accidents and equipment fires).It is with this foundation of knowledge that we seek to build an incubator model that nurturessuccess in AgFF safety. The current status and future plans for the AgFF r2p incubator aredescribed in the following sections.Advisory BoardPrior to launching the r2p incubator, the project team recognized a critical
protocol is set up as a worksheet with guiding questions, prompts,and space to brainstorm figures. These worksheets are designed to inform their data analysis,discussion, and figure generation in the report. The worksheets are collected and graded for effort,and TAs provide clear and detailed feedback identifying incorrect interpretations of data orinappropriately formatted figures - guiding students to make smart decisions in their written report.Specifically, feedback is given on hypotheses, theorized mechanisms behind the findings, dataentry tables, figure design, and statistical plans. The number of questions and associated points onthe worksheet (Table 1) decreases from the first lab (many required questions, thirty points) to thelast lab
identifying these patterns with accumulated paint. However,LIDAR software struggled to pick up depth from floor to painting and grabbed frame causing thevisible issues in Figure 10 a. Figure 10 a) A problematic scan b) matching color imageFigure 11 below demonstrates the finished full-color scans. However, these scans are not yetready to be printed. As this paper being written, the team was planning to convert the scan results(STLs or (surfaces files) to watertight manifolds for 3D printing to replicate them including thepainting in Figure 12. Figure 11. Finished full-color scans Figure 12. Most recently scanned painting with pronounced paint brush strokesStudent FeedbackThis section includes