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Creating a Predictive Model of Innovation Self-Efficacy Based on Cognitive Dissonance Levels in Innovation-Based Learning Programs

Conference Session: AI, Technology, and Data-Driven Learning in Biomedical Engineering
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Mercedes Terry, University of North Dakota; Abigail Tubbs, University of North Dakota; Brandon Fugger, University of North Dakota; Blair Dupre, University of North Dakota; Enrique Alvarez Vazquez, University of North Dakota; Ryan Striker P.E., University of North Dakota
Tagged Divisions: Biomedical Engineering Division (BED)

quantify the likelihood that changesin CD would lead to measurable improvements in ISE, offering deeper insights into howcognitive dissonance influences innovation self-efficacy over time. The initial logistic regression model, optimized using GridSearchCV, achieved anaccuracy of 71.4%. GridSearch CV is a method used to check how well a predictive model willwork on new data. It does this by splitting the data into multiple parts, training the model onsome parts, and testing it on others, helping to ensure that the results are not just a coincidencebut meaningful. The model's performance varied across the two classes. For Class 0 (low ISE),the model achieved a recall of 100% but had a low precision of 33%, leading to an F1-score of0.50

Relevance Score: 2.902034

BOARD # 27: Work in progress: Multiple submissions for technical writing assignments improve students’ self-efficacy and reduce anxiety

Conference Session: Biomedical Engineering Division (BED) Poster Session
Collection: 2025 ASEE Annual Conference & Exposition
Authors: James Long, Rice University
Tagged Divisions: Biomedical Engineering Division (BED)

Paper ID #47785BOARD # 27: Work in progress: Multiple submissions for technical writingassignments improve students’ self-efficacy and reduce anxietyDr. James Long, Rice University ©American Society for Engineering Education, 2025 Work in progress: Multiple submissions for technical writing assignments improve students’ self-efficacy and reduce anxietyIntroductionThe engineering education community has long understood that one of the core engineeringskills is technical writing, as shown in several works [1], [2], [3] and highlighted in the mostrecent version of the ABET Criteria for Accrediting Engineering Programs [4

Relevance Score: 2.8995924

Work in Progress: Exploring Biomedical Engineering Students’ Perceptions of Large Language Models in Academic Settings

Conference Session: Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Nathan Hyungsok Choe, The George Washington University; Chanyee Hong; Hyeyeon Lim
Tagged Topics: Diversity
Tagged Divisions: Biomedical Engineering Division (BED)

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

Relevance Score: 0.1329298

Ignite: Place-based Community-centered Design to Promote Biomedical Engineering Efficacy

Conference Session: Equity, Diversity, and Social Justice in Biomedical Engineering
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Jennifer Ayres, Duke University; Hannah Lee, Duke University; Amaris Huang, Duke University; David Knudsen, Museum of Life and Science; Nirmala Ramanujam Ph.D., Duke University; Megan Madonna, Duke University
Tagged Topics: Diversity
Tagged Divisions: Biomedical Engineering Division (BED)

. 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

Relevance Score: 0.046294894

Work in Progress: Exploring the Impact of a Pre-Capstone Health Equity Design Sprint on Students’ Conceptions of Health Equity

Conference Session: Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Leah Rebecca Thomas, Virginia Polytechnic Institute and State University; Jenna Yasmin Altaii, Virginia Polytechnic Institute and State University; Christopher Arena, Virginia Polytechnic Institute and State University; Ashley R Taylor, Virginia Polytechnic Institute and State University
Tagged Topics: Diversity
Tagged Divisions: Biomedical Engineering Division (BED)

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

Relevance Score: 0.045037553

Engineering in Clinical Practices: An Evidence-Based Review of Two-Course Sequence

Conference Session: Hands-On Learning and Clinical Immersion in BME
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Charlotte Da Jung Sevrain, Vanderbilt University; Nathan Zhang, Vanderbilt University; Michael I. Miga, Vanderbilt University; Stacy S Klein-Gardner, Vanderbilt University
Tagged Divisions: Biomedical Engineering Division (BED)

://www.dedoose.com/ (accessed Dec. 13, 2024).[12] Zhang, N., Klein-Gardner, S. S., & Miga, M. I., “Measuring Biomedical Engineers’ Self- Efficacy in Generating and Solving Provocative Questions about Surgery,” Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore, Maryland. June 2023. https://peer.asee.org/43565

Relevance Score: 0.04359095

Impact of a curriculum and design course redesign on student’s engineering design process knowledge

Conference Session: Curriculum Development and Pedagogical Innovations
Collection: 2025 ASEE Annual Conference & Exposition
Authors: William H Guilford, University of Virginia
Tagged Divisions: Biomedical Engineering Division (BED)

use.References[1] B. J. Laugelli et al., “Work in Progress: A Novel Two-Semester Course Sequence that Integrates Engineering Design, Sociotechnical Skills, Career Development, and Academic Advising,” presented at the 2024 ASEE Annual Conference & Exposition, Jun. 2024. Accessed: Jan. 13, 2025. [Online]. Available: https://peer.asee.org/work-in-progress-a-novel-two-semester-course-sequence-that-integrates-engineering- design-sociotechnical-skills-career-development-and-academic-advising[2] W. H. Guilford, “A Skills-focused Approach to Teaching Design Fundamentals to Large Numbers of Students and Its Effect on Engineering Design Self-efficacy,” in Proceedings of the 2017 ASEE Annual Conference and Exposition, Jun. 2017. Accessed: Mar

Relevance Score: 0.03242479

Advancing Equity in Biomedical Engineering Education: Insights from Clinical Observations and Needs-Finding Courses

Conference Session: Hands-On Learning and Clinical Immersion in BME
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Alyssandra P Navarro, University of Arkansas; Jacquelynn Ann Horsey, University of Arkansas for Medical Sciences; Thomas Hudnall McGehee, University of Arkansas; Bryce Williams, University of Arkansas; Timothy J. Muldoon, University of Arkansas; Mostafa Elsaadany, University of Arkansas
Tagged Topics: Diversity
Tagged Divisions: Biomedical Engineering Division (BED)

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

Relevance Score: 0.03242479

Conducting an International Med-IoT Project under the Innovation-Based Learning Model

Conference Session: AI, Technology, and Data-Driven Learning in Biomedical Engineering
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Victor Tsui, University of North Dakota; Kordell Mitchell Bernaldez Tan, University of North Dakota; Enrique Alvarez Vazquez, University of North Dakota
Tagged Divisions: Biomedical Engineering Division (BED)

project was successfully conducted remotelyinvolving parties in different countries.Semi-Structured InterviewTo further investigate group dynamics and challenges in IBL project teams, a semi-structuredinterview was conducted with existing IBL students about their projects. This survey wasreviewed and approved by the university’s Institutional Review Board (IRB protocol number0006441). This study adheres to the ethical standards required for research involving humansubjects. This online interview lasted approximately 30 minutes, involved volunteer participantsfrom the IBL program. It consisted of ten (10) open-ended questions focused on the team projectexperience, based on a validated Self-Efficacy Survey [11]. The questions are listed in Figure 4

Relevance Score: 0.02837169

Work In Progress: A framework for evaluating student cognitive and affective reflections in BME studio learning

Conference Session: Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Stephanie Fuchs, Cornell University; Jonathan T. Butcher, Cornell University
Tagged Divisions: Biomedical Engineering Division (BED)

these/set them up. He was super helpful and simplified the explanation into something I was able to learn, and then I set up my equations correctly after that! I also really enjoyed discussing things within our group first and then discussing it as a class. I SELF-EFFICACY B think talking in a small group first allowed us to gain confidence in our thoughts and made it much easier to share to the entire class. Moreover, I found that applying concepts like Michaelis Menten equations on a real system helped me understand how to use the equations and what they mean. By manually writing

Relevance Score: 0.020809313

Characterizing student adoption of generative AI in technical communication courses

Conference Session: AI, Technology, and Data-Driven Learning in Biomedical Engineering
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Angela Lai, Tufts University; Kavon Karrobi, Boston University
Tagged Topics: Diversity
Tagged Divisions: Biomedical Engineering Division (BED)

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

Relevance Score: 0.01874266

Post-Pandemic Motivations and Barriers for Office Hours Attendance in Biomedical Engineering

Conference Session: Curriculum Development and Pedagogical Innovations
Collection: 2025 ASEE Annual Conference & Exposition
Authors: Kate Manion, Northwestern University; Jordan Denzler, Northwestern University; Tyson Matthew Strong, Northwestern University; David P O'Neill, Northwestern University
Tagged Topics: Diversity
Tagged Divisions: Biomedical Engineering Division (BED)

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