responses.Descriptive statistics summarized the data characteristics, including total responses andcalculation of means and standard deviations to understand data distribution. Chi-squared Test ofIndependence tests analyzed differences in AI language model usage across gender and classstanding. An exploratory factor analysis (EFA) using the principal factor method was conductedon eight items to identify underlying factors of utility and self-efficacy in using LLMs foracademic purposes. The KMO measure of 0.8511 and Bartlett’s test confirmed the data'ssuitability for EFA, followed by a varimax rotation to enhance interpretability. Independent t-tests compared self-efficacy and utility value perceptions across genders and student levels. Alltests, including chi
context of such available resources isof broad interest to the engineering community. This study sought to measure the effectivenessof a junior-level clinical observations course designed for a major land-grant, public universitywithout proximity to a medical school. We compared IP generation and pre- and post-classsurveys were used to quantify students’ self-efficacy, motivations, and ability to makeconnections to real-world problems. The total number of IP applications increased more thantwo-fold following the adoption of the course, and survey results indicated students’ collectiveimproving understanding of the design process and increased confidence in engineering-relatedskills. This study included a sample size of 75 undergraduate students
. ©American Society for Engineering Education, 2023 Clinician-engineer self-concept in biomedical engineering students and its relationship to race, first-generation status, and mode of deliveryIntroduction and abstractRetention, recall, comprehension, and measurable skills are mainstays of the scholarship ofteaching and learning, and yet they represent only a fraction of what engineering educators hopeto achieve through education. The development of self-efficacy, for example, is a common goaland is often measured as a psychological construct. Less commonly measured constructs that arenonetheless commonly valued by educators are the development of creativity, perseverance(grit), and self-concept.Self-concept is particularly interesting in
and mentors.Evaluating Impacts of Trained Participants on the Bioengineering CommunityWhile we hypothesize that our course empowers participants to accomplish the learning goalsand develop greater self-efficacy as educators while taking the class, we aim to further evaluatethe longer-term impacts of our course participants within the bioengineering departmentcommunity by measuring their effectiveness as TAs. We will design our data collection alongthree key dimensions: (1) Sampling a greater proportion of graduate students in Bioengineeringincluding non-course participants as a control, (2) Evaluating content mastery of pedagogicalknowledge covered in the course via written and/or oral assessment, and (3) implementinglongitudinal surveys to
. Lemke, and C. Leicht-Scholten, “How to teach resilience thinking in engineering education,” Sustainable and Resilient Infrastructure, vol. 9, no. 5, pp. 513–530, Sep. 2024, doi: 10.1080/23789689.2024.2356492.[16] A. Singer, G. Montgomery, and S. Schmoll, “How to foster the formation of STEM identity: studying diversity in an authentic learning environment,” International Journal of STEM Education, vol. 7, no. 1, p. 57, Nov. 2020, doi: 10.1186/s40594-020-00254-z.[17] “Measuring Undergraduate Students’ Engineering Self‐Efficacy: A Validation Study - Mamaril - 2016 - Journal of Engineering Education - Wiley Online Library.” Accessed: Nov. 05, 2024. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/jee.20121[18
team dynamics and individual experiences. Finally,quantitative data collection will be expanded by incorporating existing validated scales to betterunderstand the impact of the design sprint on students’ engineering design competencies. Whilewe piloted these measures this year, our data was significantly limited in sample size. We plan toincorporate adaptations of Grohs et al. Systems’ Thinking Assessment Tool [17] and Carberry et.al’s [18] instrument for assessing students’ engineering design self-efficacy. Combined, theseadditional measures of program assessment data will enable an expanded understanding of themost impactful program elements. Ultimately, our goal is to develop scalable, effective modelsfor learning experiences, including pre
groups in STEM fields, particularly engineering,presents persistent challenges in education and the workforce. HMG students often face uniquebarriers that hinder their learning experience, such as unwelcoming classroom environments,limited mentorship opportunities, and a lack of belonging and community. These disparitiescontribute to lower retention rates and confidence levels compared to NHMG students.This study evaluates the impact of our junior-level clinical immersion course on HMG andNHMG students. Surveys were conducted pre- and post-course to gather students' perspectives,focusing on skill development, self-efficacy, and perspectives on healthcare disparities.Quantitative results indicated significant gains in confidence and skill
supporting STEM faculty on STEM education research projects.Dr. Sharon Miller, Purdue University Sharon Miller, PhD, is an Associate Professor of Practice in the Weldon School of Biomedical Engineering at Purdue University. She received a BS degree in Materials Science and Engineering from Purdue University and MS and PhD degrees in Biomedical Engineering from the University of Michigan. Her educational efforts focus on biomedical engineering discipline-based educational research, including design self-efficacy, project-based learning, critical reflection in ethics, and high-impact practices. ©American Society for Engineering Education, 2024Work in Progress: A Multi-level Undergraduate Curricular
highschool internships that engage students in authentic STEM environments [2], [3]. High schoolinternships are especially impactful for underrepresented minority (URM) female students inSTEM [1]. Prior research has shown that these internship opportunities can increase students’sense of self-efficacy in STEM fields, give students insight into career paths they might nototherwise be exposed to, and increase students’ interest in and pursuit of STEM-related majorsand careers.The home environment can also provide opportunity for students to increase and strengthenSTEM identity and the consideration of STEM careers. A model for STEM identity has beendeveloped as a framework building on disciplinary studies and includes the interplay of threeelements
studentadoption of genAI for technical writing. Our study results showed that BME students adjustedtheir usage of GAI for technical writing after receiving a lecture on genAI prompting techniquesfor writing, editing, and assessing its efficacy. The students changed their usage of genAI indifferent ways and fell into two categories: 1) those who adopted it willingly and used it morefrequently, and 2) those who decided to abstain from using it at all. The latter group of studentsreported strong feelings for self-efficacy and to be independently proficient at technical writing.By examining the ways in which students adopt genAI for technical writing and the underlyingintentions, we hope to identify areas in curricula that may require greater emphasis. This
Similarities,” Proc. 54th ACM Tech. Symp. Comput. Sci. Educ. V 1, pp. 959–965, 2023, doi: 10.1145/3545945.3569777.[12] P. Glynn-Adey, “Public Space Office Hours,” Coll. Teach., vol. 69, no. 3, pp. 180–181,2021, doi: 10.1080/87567555.2020.1845599.[13] A. Joyce, “Framing Office Hours as Tutoring,” Coll. Teach., vol. 65, no. 2, pp. 92–93, 2017,doi: 10.1080/87567555.2016.1189393.[14] M. Micari and P. Pazos, “Connecting to the Professor: Impact of the Student–FacultyRelationship in a Highly Challenging Course,” Coll. Teach., vol. 60, no. 2, pp. 41–47, 2012, doi:10.1080/87567555.2011.627576.[15] M. Micari and P. Pazos, “Fitting in and feeling good: the relationships among peeralignment, instructor connectedness, and self-efficacy in undergraduate