also the co-PI and co-Director of the Youth Engineering Solutions (YES) Middle School project focusing on engineering and computational thinking. Dr. Klein-Gardner is a Fellow of ASEE.Dr. Michael I. Miga, Vanderbilt University Michael I. Miga, Ph.D. received his B.S. and M.S. from the University of Rhode Island in Mechani- cal Engineering and Applied Mechanics, respectively. He received his Ph.D. from Dartmouth College specializing in biomedical engineering. He joined the facul ©American Society for Engineering Education, 2023 Measuring Biomedical Engineers’ Self-Efficacy in Generating and Solving Provocative Questions about SurgeryAbstractSelf-Efficacy has shown to be
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
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
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
Experience: A large design oriented clinical immersion course based in emergency departments. 2016.13. Carberry, A. R. and Lee, H., Measuring Engineering Design Self-Efficacy. Journal of Engineering Education, 2010. 99(1) :71-79.14. Aultman Website “Student Experiences” [Online]. Available:https://aultman.org/education/students-at-aultman-hospital/#/ [Accessed April 14, 2023].15. Aultman Website “Healthcare Observations” [Online].Available:https://aultman.org/education/students-at-aultman-hospital/ah-job-observation-2/#/[Accessed April 14, 2023].16. Infobase Website [Online]. Available https://infobase.com/ [Accessed April 14, 2023].Appendix I: Career Aspiration QuestionnaireSurvey/Questionnaire No
unique. This restructuring would also allow students to work in an industry-like environment where teams have specific tasks and communication is critical. The particularuse case presented in this paper is to create a remote-sensing application for vital signmonitoring. Some details will not be included to avoid IP infringement with the sponsor of thisproject.The assessment plan is to evaluate if this new team structure improves learning outcomescompared to a traditional team. The two outcomes being compared in this study are ABETstudent outcome 3 and 5 by measuring student's communication and self-efficacy relative toother team structures (e.g. other capstone section). ABET 3 (Communication) relates to theability to communicate effectively with
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
://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
programs- reporting the efficacyof such courses within the context of such available resources is of broad interest to theengineering community. This study sought to measure the effectiveness of a clinical observationscourse designed for a major land-grant, public university without proximity to a medical school.We compared IP generation and pre- and post-class surveys were used to quantify students’ self-efficacy, motivations, and ability to make connections to real-world problems. The total numberof IP applications increased more than two-fold following the adoption of the course, and surveyresults indicated students’ collective improving understanding of the design process. Ongoingwork will continue to examine the long-term impacts of the
’ college teaching self-efficacy," CBE—Life Sciences Education, vol. 17, no. 1, p. ar14, 2018/03/01 2018, doi: 10.1187/cbe.17-02- 0039.[3] E. E. Shortlidge and S. L. Eddy, "The trade-off between graduate student research and teaching: A myth?," PLOS ONE, vol. 13, no. 6, p. e0199576, 2018, doi: 10.1371/journal.pone.0199576.[4] N. Davidson and C. H. Major, "Boundary crossings: Cooperative learning, collaborative learning, and problem-based learning," Journal on excellence in college teaching, vol. 25, 2014.
Year EngineeringStudents” in 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, 2018, pp.1-8, doi: 10.1109/FIE.2018.8659311.[13] M.L. Riggs, J. Warka, B. Babasa, R. Betancourt, S. Hooker. “Development and validation ofself-efficacy and outcome expectancy scales for job-related applications,” Educational andPsychological Measurement, vol. 54, no. 3, pp. 793–802, 1994, doi:10.1177/0013164494054003026[14] A.R. Carberry, H.S. Lee, M.W. Ohland. “Measuring engineering design self-efficacy,”Journal of Engineering Education, vol. 99, no. 1, pp. 71-79, 2010, doi: 10.1002/j.2168-9830.2010.tb01043.x.[15] D.B. Yarbrough, L.M. Shulha, R.K. Hopson, F.A. Caruthers, The program evaluationstandards: A guide for evaluators and evaluation
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
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
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
earlier study showed a strong positivecorrelation between instructor review and peer review in a biomedical engineering laboratory,suggesting peer review could be an effective form of feedback [1]. Peer review also resulted in theperceived improvement of students’ ability to critique. Additionally, the use of co-created rubricsis an inclusive teaching practice that can improve confidence and self-efficacy. It speeds up futuredetailed feedback, as the students and instructors have a similar understanding about the elementsof the rubric and may enhance self-regulated learning [2]. Finally, standards-based grading shiftsthe primary objective to individual learning and achievement, removes distraction from low-importance errors and reduces the
includefoundational bioethics frameworks in autonomy, justice, and beneficence; virtueethics; ethical sourcing of materials; risk analyses of medical technologies; andfairness in healthcare costs. We have developed reflection assignments on studentperception of ethics in biomedical engineering that reflect increased self-efficacyand comfort with ethical inquiry. Assessments on stakeholders and perceived riskduring senior design courses indicate growth in applying case studies from previousbiomedical technologies to identify potential ethical dilemmas in developing anddeploying a new technology. Future work will measure student self-efficacy acrossthe BME curriculum and post-graduation in longitudinal studies on preparation forethical decision making as
micro-certificate in the professoriate, and led several educational experiences for underrepresented high school students. Amanda plans to pursue a higher education teaching career and research strategies to promote active learning and improve self-efficacy amongst engineering students.Dr. Raj R. Rao, University of Arkansas Dr. Raj R. Rao is a Professor of Biomedical Engineering, University of Arkansas, Fayetteville. He currently serves as the Editor-in-Chief of the Journal of Biological Engineering, as an ABET Program Evaluator; and is a member of the Biomedical Engineering Society (BMES) Education Committee. His research interests are in the broad area of cellular engineering that utilize
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
community.In this context, collaborative learning pedagogies represent an opportunity to increase students’motivation and support students’ development of effective learning strategies. In content-heavybiomedical engineering courses, high-stakes assessments such as tests or exams often elicitanxiety, low expectancy to succeed, and low self-efficacy for students, corresponding todecreased motivation. Collaborative testing has been demonstrated to improve students’performance [8]–[10], leading to the hypothesis that collaborative testing also improves students’perceptions of their learning environment based on development of effective learning strategies.Collaborative testing has been reported to improve retention and recall (e.g., [7]–[10
surveys versus “reflection while doing” in the form of notebooks. Although thestudy was not definitive, these reflective notebooks may promote increased achievement earlierin the quarter. Further, the students viewed the reflective practice favorably.To increase student engagement with the SBG system, we implemented a co-creation processwith the rubric [15]. The use of co-created rubrics is an inclusive teaching practice that canimprove confidence and self-efficacy [5]. It speeds up future detailed feedback, as the studentsand instructors have a similar understanding about the elements of the rubric and may enhanceself-regulated learning [5]. In our course, proficiency in the standards was evaluated accordingto the co-created rubric (as shown in
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
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
terms of sharing, thinking about, andcaring about others; and 2) how students’ self-perceptions of empathy correspond to externalevaluations of empathy from stories shared. We quantitatively assessed aspects of empathy in (n =20) students’ stories submitted around four specific prompts using the External Evaluation ofEmpathy Rubric (EEER). The empathy observed in these stories was then compared to thestudents’ self-reported empathy, as measured using the Interpersonal Reactivity Index (IRI). Ourfindings illustrate that encouraging students to think about their future and their goals often yieldsthe highest scores for emotional, cognitive, and action-oriented components of empathy.Prompting students to describe confronting or responding to a