participants in a cross-sectional study in design-based engineering courses.Specifically, we share here our developed interview protocol for data collection using the critical incidentmethods and artifact elicitation. We share preliminary findings from a pilot interview conducted with asenior engineering student in an early phase of their capstone design project. 1. IntroductionCan the movement of novice designers in a design space offer a profound learning opportunity in design?Exploring this question is vital to improving the design learning experiences to both students and designeducators. In literature, the affordances of a physical space for learning, and as a pedagogical method, isoften referred to as active learning spaces (ALS) [1]. In a
universities. TSAP provides a structured 60-credit framework with guaranteed juniorstatus upon completion (Indiana Transfer Single Articulation Pathways, 2015). The programemphasizes competency-based learning outcomes while maintaining consistent course contentand learning objectives across institutions.Table 1: Indiana Transfer Single Articulation Pathway (TSAP) Framework Core Components Category Details Mathematics Sequence Calculus I-III (MATH 211, 212, 261), Differential Equations (MATH 264), Linear Algebra (MATH 265) Science
mentor and the students. The qualitative analysis was performed inNVIVO 15. Our project has been exempted by our IRB office (IRB 2267358-1).Our review of the interviews, surveys, and attendance records indicated the implementation of apeer mentor had positive impacts for the learning outcomes of our clinical immersion program.From the summaries of the midterm evaluation, the students widely regarded the speakerresources as valuable and appreciated the peer mentor’s presence in clinical immersion sessions,but many did not attend the workshops due to scheduling conflicts, which averaged about twostudents per workshop. The interviews highlighted the profound respect and appreciation thestudents had for the peer mentor. Students regarded the peer
introduction to the discipline. The courseintroduces students to considerations needed for designing components and structures commonlyfound in industrial applications. The implementation of a problem-based learning model wasintroduced to 90 students who enrolled in the Strength of Materials (ME 2191) course in the Fall2024 semester (Cohort 1). The cohort consisted of two sections of 45 students that by credit-hours, ranged from sophomore to seniors. For several students this was their second or third timetaking the class. The goal for the problem-based learning was to foster in students, a deeperunderstanding and application of the principles in Mechanics of Materials based on testing dataand survey data. The key objectives of the study and how they
studentperformance, foster a feeling of identity and belonging within engineering, and supportpersistence in STEM fields. For historically marginalized and underrepresented groups, thesedifficulties are especially significant, highlighting the need for more equitable and inclusiveteaching strategies.Underrepresented minorities and first-generation students often face a GPA gap of nearly 0.5 inPhysics, Statics, and Dynamics courses [1]. According to the Cal Poly- San Luis Obispo Collegeof Engineering's Diversity, Equity & Inclusion page, 82.3% of underrepresented minority (URM)students graduated within six years in 2021, compared to 87.7% of non-URM students—a 5.4percentage point difference. While this represents a significant improvement from a
, includingconsequences like hemorrhage or reoperation.1 Since bone cortices have an approximatethickness between 0.5 to 2.25mm, the margin for error is small.2 Accurate drilling is necessary,and is characterized by minimizing the breakthrough distance (Figure 1B). Orthopedic surgeons rely on “feel” to know when to stop drilling, rather than aquantitative marker. Plunging is common among resident orthopedic surgeons, as proper drillingtechnique is difficult to train. Studies have also shown that the incidence of plunging happens atall levels of training, but decreases with increased levels of experience, and it has been suggestedthat simulation skills could lead to better surgical outcomes.1,5,6 Increased practice could be keyin developing the “feel” of
entrepreneurial mindset with design-based learning approachesaligns with national initiatives emphasizing innovation and interdisciplinary skill-building inSTEM education. This project addresses gaps in existing educational methods by combiningtechnical design, entrepreneurship, and artificial intelligence (AI) integration to produce scalableand impactful learning tools. It contributes to ongoing efforts to prepare students for real-worldproblem-solving while enhancing their technical and entrepreneurial competencies. Theeffectiveness of the project was evaluated through various components: 1) Oral Presentations:students present their designs to faculty, emphasizing innovation, feasibility, and educationalimpact; 2) Final Written Technical Report: teams
industry needs. By sharing practical insights and best practices, thispaper aims to support educators and administrators in developing rigorous, industry-relevant, andinclusive programs that achieve ABET accreditation. 1. IntroductionBiomedical Engineering (BME) applies engineering and scientific principles to developinnovative healthcare solutions. It bridges technology and medicine to enhance patient outcomes,diagnostics, and treatments [1]. Its multidisciplinary nature enables it to tackle emerginghealthcare challenges and leverage technological advancements [2]. Innovations in artificialintelligence (AI), machine learning, and robotics have further expanded BME’s impact,revolutionizing medical imaging, personalized medicine, and wearable
technologies. The primary focus of this intervention is to nurturethe digital skills necessary for utilizing and managing these technologies in future professionalroles. The project's first stage contextualizes the educational experiences of future constructionjobs, given the need for this industry to attract talent and continue its modernization to supporteconomic development in our society. A pre and post-evaluation was given to measure theeffectiveness of these interventions based on achieving three key objectives: (1) Increasingawareness of digital skills, (2) Enhancing understanding of anticipated job transformations fueledby technology in the future, and (3) Stimulating interest in potential careers within theconstruction industry. The research