planning andindividual student meetings.Evaluation of SuccessAlthough a quantitative assessment of the success of the capstone curriculum change is difficultat this time due to sparse data, a qualitative appraisal is possible based upon student courseevaluations, senior exit interviews, and feedback received from alumni.The percentage of positive student comments relative to the processes utilized as a part of theDBF option has been overwhelmingly positive since the DBF curriculum change was introducedin Spring 2006. Overall, students greatly appreciate the opportunity to apply real-world baseddesign methods and verify their results through wind tunnel and structural testing, followed bythe true test of their designs: flight test. Seniors have
demonstration of vibration-based SHM technique is conducted using the impacted composite specimens from the earlierlaboratory on composite materials failure.EvaluationThe evaluator for the project is Dr. Shirley Waterhouse, University Director of the Centers forTeaching and Learning Excellence, Office of the Provost, Embry-Riddle AeronauticalUniversity. The Office of the Provost is based on the Daytona Beach campus, the sister campusto the ERAU Prescott residential campus. She has been leading the evaluation throughmonitoring the preparation of learning materials as well as the preparation of assessment tools,conducting faculty interviews, and leading a student focus group at the end of courseimplementation. The overall project goal is to monitor the
comparable.These students participated in a Principle of Engineering class that required them to exploretechnology systems and manufacturing processes, and address the social and politicalconsequences of technological change through a combination of activities-, project-, andproblem-based learning. These students were required to engage in several engineering designactivities (e.g., marble-sorter or bridge design).MeasuresThis study utilized a modified version of the Motivated Strategies for Learning Questionnaire(MSLQ) survey instrument. The MSLQ is a self-reporting instrument developed by Pintrich,Smith, Garcia, and McKeachie8 to assess college students’ motivational orientations and their useof different learning strategies for a college course. The
- Currently operating from gift fund student success - AY 23-34 spending as modelContinue EmpoweringStudent Leaders - Graduate Assistant opportunity - Student E-Board roles evolve as needed Working with Institutional Advancement to Gain Donor Support and Funding Currently operating from a gift fund that is not replenished annually. In the AY 23-34, we spent roughly $10,000 on SWAG, hospitality at events and meetings, room rentals and reservations, professional development. We have created a tiered sponsorship system for different ways individuals or companies can donate to Women In Technology, including sponsorship opportunities for the Project Team. Assessment What’s
overviews, cohort overviews disaggregated by previous degreeprogram, tables of retention and graduation rates, and overviews of time to degree. Thedashboard enables tracking of retention and graduation for students with different paths, suchas switching degree programs or discipline within the College of Engineering or anywhere in theuniversity.The data encompasses cohorts from 2007-present. The necessity of curating data requirescollection and analysis, which is handled by the data and assessment team in the College ofEngineering. Data from future cohorts will be entered yearly, to enable continued assessmentand reflection.Slide 5 The Penn State Dashboard was developed over six years, focusing on capturing intersectional
Team's Work • Interacting with Teammates • Keeping the Team on Track • Expecting Quality • Having Related Knowledge, Skills, and AbilitiesThese categories have been thoroughly researched through a multi-year, multi-university study knownas Comprehensive Assessment of Team Member Effectiveness (CATME)6 which was first reportedon in 2006. We have implemented the CATME peer evaluation system within our online capstoneproject management system EduSourced7. The survey form guides students through the evaluationprocess for each of the five categories with behaviorally anchored rating scales as shown in Figure 1for the “Contributing to the Team’s Work” category. Proceedings of the 2025 ASEE Gulf-Southwest Annual
Fred Lacy Electrical and Computer Engineering Department Southern University, Baton Rouge AbstractOver the last decade, the emergence of technician education has taken center stage at secondary andpost-secondary educational institutions through the proliferation of industry needs and employerpartner engagement. Through employer-partner engagement, Southern University at Shreveport,Louisiana (SUSLA), a community college unit within the Southern University and A&M CollegeSystem, conducted a systematic review, assessment, and revision of its curricula that addressed theneeds of industry. SUSLA’s comprehensive assessment, guided by employer
begins with Ask, where students identify a specific problem, research existingsolutions, and define the challenges to build a strong foundation. Next, in Imagine, they brainstormmultiple ideas, evaluate their feasibility, and select the most promising solution, fosteringcreativity and decision-making. During Plan, students organize their approach by creating detaileddiagrams, material lists, and step-by-step instructions, emphasizing systematic preparation. InCreate, they implement their plan by building and testing a prototype, linking theory to hands-onapplication and assessing functionality. Finally, in Improve, students analyze their results, refinetheir design, and make iterative modifications, promoting resilience, adaptability, and
ForwardTo address the needs revealed through the surveys, the library will continue to maintain a proactive,user-centered approach. The liaison librarian will work to identify opportunities for integratinglibrary resources into teaching through regularly engaging with faculty to identify emerging needsand align library services with their research and instructional goals. Piloting initiatives, such as theSTEM library peer-to-peer tutoring program for foundational engineering courses, which will beginin the spring of 2025, will be a focus as we continue to determine the best ways to meet the needs ofour engineering community. Most importantly, we will continue to assess and refine these servicesas we work toward improving student outcomes and
attainment, aswell as career success and satisfaction, especially for students from underrepresented groups [15].Mentoring support was to be positively associated with organizational identification and negativelyassociated with turnover intentions, particularly for individuals high in generativity [7]. By fosteringan inclusive environment through structured, student-aligned research projects and mentorship fromfaculty with similar backgrounds, URM students are more integrated into the academic community.In addition to the impact resulted from student project engagement, we will assess the role ofmentorship in the development of a student’s STEM identity and their sense of belonging, both ofwhich are critical predictors of persistence and success in
Control: The Control phase ensures that the improvements are sustained over time bymonitoring the process and preventing regression to old habits. Control charts, standard operatingprocedures (SOPs), and regular audits are used to maintain consistency and ensure that the processcontinues to meet the desired performance levels. Teams also establish feedback mechanisms toaddress any deviations promptly.Example: Regularly scheduled maintenance checks and ongoing operator assessments could helpmaintain reduced downtime levels.Implementing Standard Operating Procedures (SOPs) is essential for maintaining control oversystems because they establish a consistent, repeatable framework for operations. SOPs ensurethat tasks are performed in the same manner
that would include occludded fire, varying smoke intensity, and obstructions within the environment. • Real-World Tests: To truly evaluate a model like this, the best way to evaluate is to actually use drone captured images and assess that way. The difference between Training and evaluation data is to make sure that the algorithm is not memorizing certain aspects of fire but actually learning to identify fire across different scenarios. If deep learning is used in future work, certain performance metrics such as, precision, recall, and a F1-score, will be used on the evaluation dataset to measure accuracy and robustness.III. Software Implementation The software stack
encouragedinnovation and problem-solving. The iterative process of 16design and optimization presented challenges like 14improving sun-tracking accuracy, enhancing light 12reflection efficiency, and ensuring mechanical stability. 10These obstacles pushed students to critically assess 8potential inefficiencies and come up with creative 6solutions, cultivating the problem-solving mindset needed 4to tackle future energy challenges. 2 0Method and Approach
collaborated with powered cybersecurity solutions enhance enterprise securitywith Microsoft Copilot by detecting threats and automating IT individual assignments such as reflections, concept questions,workflows for safer operations [15]. In short, AI holds quiz, homework, and one individual design project.significant transformative potential, especially in education, butrequires a structured, ethical approach. In education, AI should III. METHODbe designed with pedagogical principles, data privacy, andethical guidelines at its core, supporting personalized learning We used Likert scale surveys to assess the extent to which[16
engineering structure fails, an investigation a stereomicroscope to examine a material sample surface by is usually launched to determine the cause of failure, which can manually tracking the location of flaws and voids. The data include an assessment of the materials used. For example, if a is collected and analyzed using principles of stereology. This concrete structure collapses, samples of the concrete are taken and examined through a petrographic analysis. A petrographer process can be tedious and slow. As an alternative, a flatbed traditionally requires the use of sophisticated microscopes and scanner may be used for image capture. Flatbed scanners are costly proprietary software programs, placing a high barrier
to improving web application security. By using inference onstudy employ a comparative analysis framework, using datasets datasets with vulnerability examples, these models can recog-of cookie security and cybersecurity logs, and apply prompt nize patterns and anomalies signaling potential security flaws.engineering to evaluate LLMs in identifying flaws in HTTP This method supports scalability and efficiency, allowing real-headers, analyzing security attributes. Our findings show LLMscan detect insecure cookie configurations, automate assessments, time monitoring and quick detection. Integrating LLMs intoand provide actionable insights, though challenges
University where he teaches courses on ethics/professionalism and water resources. Dr. Carpenter has served as the University Director of Assessment and theAlyssa TaubeLynne Seymour ©American Society for Engineering Education, 2025 Collaborative Outreach to Inspire Interest in Civil and Environmental Engineering Through Stormwater Design using Best Management PracticesAbstractThis paper presents an engaging activity developed for the outreach event Blue Planet Jobs:Careers in Water, hosted by the nonprofit organization Pure Oakland Water (POW).Approximately 250 high school students participating in career readiness programs exploredopportunities in various water
process is structured to equip students with practical skills in gatheringand analyzing diverse datasets. It draws inspiration from key studies, linking theoreticalknowledge with applied learning: ● Road Quality: As highlighted by Koopman & Wagner (2017), analyzing satellite imagery and regional databases allows students to evaluate infrastructure readiness. For example, tasks like rating road conditions or mapping areas with poor infrastructure can be implemented in class projects. ● Socio-Economic Factors: Ghazi et al. (2023) emphasize the importance of using census data and socio-economic indices to understand public trust in AVs. Students could design surveys or assess inequality reports to draw insights on
Work In Progress: Engineering Student Success — Key Takeaways from the Lattice ScholarsProgramAbstractThis research focuses on understanding both the short-term and long-term benefits of the LatticeScholars program, assessing how the scholarship affects students' academic performance andpersonal development over time. Additionally, the study aims to uncover any unexpected benefitsthat students gain from the scholarship and program.Using a mixed-methods approach, data is collected through surveys and interviews to gain deeperinsights into student experiences. Specifically, this research explores: (a) the effectiveness of theLattice Scholars Program in supporting student performance and success in undergraduateengineering, (b) the short-term
demonstration on programming for reading and writing values toand from sensors and motors. A post-survey was conducted to assess students’ engagement and interest inthe workshop through the admissions office. Based on the quantitative assessment of survey data, mostparticipants declared the workshop was extremely interesting. It was not only students but teachers whowere interested in adapting this activity into their curriculum. This collaborative workshop withthe admissions office increased awareness among students and teachers about engineering applications andwhat the institutions have to offer.KeywordsCareer Exploration, Outreach and Engagement, Enrichment, STEM Education, Engineering Workshop,Circuit Analysis, TinkerCad,IntroductionIn today’s
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. FYEE 2025 Conference: University of Maryland - College Park, Maryland Jul 27 Full Paper: Characterizing Conflicts in Student Design Teams in an Introductory Engineering CourseBackgroundStudents in undergraduate engineering programs often experience their first college-level team-based design project as a summative assessment in an introductory engineering course. Asnovice collaborators, first-year students frequently face
practice paper presentsthe design and implementation of an identity-based engineering leadership instructional module,along with empirical evidence assessing its impact on student leader identity and understanding.While many university programs focus on leadership skills or behaviors, a growing literaturebase suggests that seeing oneself as a leader is a powerful influence on long-term leadershipdevelopment. Identity-- or how one sees oneself, and is seen by others, in society— providesinsight into the dynamic, multi-faceted and individual nature of leadership development. Thisresearch builds on emerging research that has identified potential features of an identity-basedinstructional approach, but it is not yet clear how one might operationalize
culturally sustaining STEM outreach assessment and evaluation. Micaha received her Master of Science in STEM (Science, Technology, Engineering and Mathematics) Education degree from the University of Kentucky College of Education, and her Bachelor of Science in Integrated Strategic Communication (Public Relations) from the University of Kentucky College of Communication and Information Studies.John Roberts, UK College of Engineering John is pursuing a Doctorate of Philosophy in Educational Policy and Evaluation at the University of Ken- tucky. One of his main research interests are college choice and student enrollment in higher education. Over in the past ten years, he has been fortunate to progress in the field of
cultural and linguistic backgrounds, motivations, andresiliencies of the participants. This study assessed the relationships between HSIs that supportCulturally Relevant Pedagogy, Latinx Communities of Cultural Wealth, and students’motivational, cognitive, and behavioral engagement resulting in the development of self-efficacy. Introduction The need for Hispanic-Serving Institutions (HSIs) is directly intertwined with thegrowing population of Latinx in the United States (U.S.). According to the Hispanic Associationof Colleges and Universities [HACU] [1], there are approximately 62 million Latinx people inthe U.S. The total Latinx population in the U.S. is greater than the populations of every
Paper ID #36871Narrative Inquiry in Engineering Education: A Systematic Literature Re-viewMs. Alexandra Mary Jackson, Rowan University Alexandra Jackson is a second year PhD student at Rowan University seeking a specialization in Engi- neering Education. She began her research in Rowan’s Experiential Engineering Education Department in the Fall of 2019, and has developed interests in entrepreneurial mindset and student development. In particular, she is interested in assessment of entrepreneurial mindset through quantitative, qualitative, and mixed methods, and is currently working in survey, concept map, and narrative
theoretical knowledge intoreal-world applications and design tasks. The purpose of this preliminary study is to investigatethe impact of design courses on the neurocognition of mechanical engineering students. Thisstudy utilizes a group of students in a sequential series of cornerstone design courses. The studymakes use of an electroencephalography (EEG) device to monitor the participant's brain activityduring a design task. This data will compare brain activity when the participants are presentedwith differing modalities of design exercises. A modified version of the Motivated Strategies forLearning Questionnaire (MSLQ) will self-assess the student’s motivation toward the designtasks.The robustness of this study allows for the ability to examine the
“common graduate student myths''.The myths assessed in the interview were developed through an analysis of memes and advicecolumns performed in November 2021. The intent of the original video project was to assess thevalidity of these identified “myths” with the target audience being individuals interested ingraduate school and early career graduate students. This sentiment was conveyed to the interviewparticipants, and therefore the interview responses took the form of both personal experience,anecdote, and advice.The original combined survey instrument and interview questionnaire are presented in (Figure2). Interviews were conducted by the second author over Zoom between January and March of2022. Participants were presented with 9 statements
[4]. Therefore, these engaging, accessible, and affordable courses and challenge problemshave been and will continue to be developed to reach more students throughout the state, and inthe future, the country.SLI’s goal is to increase the number of students and enhance the education of students pursuingcareers in space. The objective is to create an integrated set of educational resources, implementthem strategically in undergraduate classrooms, K-12 classrooms, outreach events, andworkshops, and assess their efficacy in achieving our goal. The public benefit of the project isexpanded opportunities, materials, and resources for enhancing K-12, undergraduate,teacher/professor, and public knowledge and understanding of space science and
, symbolization, generalization, proving, and posingnew questions. Problem-solving in mathematics includes using the necessary information andmental processes as well as embodied activities such as gestures, and body movements [e.g., 35].Mathematical thinking will take place when high-level thinking skills are needed such asgeneralization, estimation, customization, hypothesis generation, and assessment of accuracy.In summary, revolutionary insights in cognitive psychology informs how humans approachproblem-solving and their strategies on information processing. Through computer simulation,psychologists identified that information processing in humans involve structural components ofshort-term memory, long-term memory, and associated mechanisms [e.g., 13
educator with research interests in the areas of Engineering Education (Problem- solving, Learning-outcomes Assessment, Experiential Learning, Design, and Creativity) and Human Factors Engineering (Cognitive-systems Engineering, User Experience, Display Design, and Interaction). She obtained her Ph.D. in Industrial Engineering and the Collaborative Specialization in Engineering Education at the University of Toronto, Canada (March 2021). Before that, she completed her MASc. (2015) and BASc. (2012) in Electrical Engineering at the University of Toronto. © American Society for Engineering Education, 2022 Powered by www.slayte.com Evaluating Spatial