related to biomaterials and tissue engineering, as well as design. ©American Society for Engineering Education, 2023 Benefits of a low-stakes Show and Tell session in BME DesignObtaining valuable feedback from various sources in engineering design is a critical part of thedesign process. Within our design curriculum, teams obtain feedback from their faculty advisor(on written and presented work) and peers (on presented work) at two points each semester: fiveweeks into the semester in a classroom presentation and at the end-of-semester poster session.Their peers are generally hesitant to offer comments during the classroom presentation, and theposter session comes too late to be useful. To take advantage
Department of Biomedical Engineering at the Univ. of North Carolina at Chapel Hill and North Carolina State University. ©American Society for Engineering Education, 2024 Work in Progress: Understanding Student Perceptions and Use of Generative Artificial Intelligence for Technical WritingOpen generative artificial intelligence’s (AI’s) ability to craft human-like text concerns educatorswho fear students will complete assignments without meeting course objectives. Currently, AIdetection is unreliable, adding to educators’ concerns. While these fears are valid, we believe thebest way forward is to teach students how to use this powerful technology ethically andeffectively. Best practices for using AI
positively correlated with academic success [1-3]. A previousstudy by Mamaril (2016) found significant positive correlations between general engineeringself-efficacy and academic success [4]. With an often-cited need for biomedical engineers toengage more closely with the medical field, this study seeks to create an instrument to determinehow self-efficacy in biomedical engineering is related to a subject’s abilities to identify and solveprovocative questions relevant in a clinical environment and ability to write grant proposalsrelated to those questions.To create the instrument, 35 broad survey questions related to self-efficacy were generated,separated into 4 broad categories: General Self-Efficacy (GEN) a unidimensional scale takenfrom Mamaril’s
. Each data pointbeginning and end of semester IAT represents one student.bias scores were weakly negativelycorrelated, suggesting that some students who were implicitly biased toward engineering at thebeginning of the semester became less so.Paired t-test was used to determine if students’ career self-concepts changed over the course of asemester. Indeed, students’ implicit career self-concepts changed by an average of 0.1 ± 0.04(p=0.009 two-sided). In contrast, explicit career self-concept remained unchanged (0.03 ± 0.03,p=0.353). To put this on a more intuitive scale, the above change of 0.1 in the implicit measureis comparable to a change of 1 on the explicitly declared interest in engineering or clinical work.First-generation status
Department of Biomedical Engineering at the Univ. of North Carolina at Chapel Hill and North Carolina State University. ©American Society for Engineering Education, 2023 Work-in-Progress: Technical Scientific Writing across the BME CurriculumCommunication skills are critical for engineers as they disseminate their novel solutions,experiments, and products. ABET has defined one of the seven student outcomes required forpreparing students to enter the professional practice of engineering as "an ability to communicateeffectively with a range of audiences" [1]. In past assessments of our Biomedical Engineering(BME) program, we have found from student self-evaluations, course
for technical communication, and second aboutwhat they use such tools for if they use them. Most questions are given on a 1 to 5 Likert scale[5], while others are multiple choice or open responses. For any questions that allow for openresponses, we code the responses so that all questions can be analyzed by observing thedistribution of answers to each question as percentages of the total number of students whorespond. Students must answer all questions to submit the survey.2.2 Generative Artificial Intelligence Assistance (GAIA) Disclosure FormThe GAIA disclosure form is provided in Appendix 5.2. On every assignment, students arerequired to provide a statement regarding GAIA use, stating whether they did or did not usegenerative AI while
students incohorts 1, 2, and 3 named 2.22 ± 0.39, 2.41 ± 0.26, and 2.21 ± 0.62 skillsets and experiences onaverage respectively (Figure 1C). The number of skillsets and experiences identified by studentsin cohort 4 was increased, albeit not significantly, to 2.95 ± 0.31 skillsets and experiences perstudent. Importantly, technical skills, professional skills, knowledge, and experiences wereidentified across all cohorts (Appendix E, Table 10). The number of technical and professionalskills codes named per student was observed to generally increased from cohort 1 to cohort 4 (i.e.,as students progressed through the degree program). The number of knowledge codes named perstudent remained similar across the four cohorts. Interestingly, the number of
students to learn about real-world problemsthat can be solved by engineering design [1] – [5]. These programs are variable depending on theresources of the University: some programs have developed summer internships to provide aclinical immersion experience, while others have sought to bring the immersion during a moreconventional classroom setting [6]. Literature has reported that these programs which provideeffective immersion experiences result in an increase in students’ self-reported knowledge andskills, in addition to general confidence. These experiences often extend beyond needsidentification, as students connect with potential users and witness the community impact. It alsocreates room for interdisciplinary involvement, such as the
States. The general purpose of these experiences is toimmerse students in clinic environments so that they can leverage primary experience in thedesign and consideration of medical devices. Many of these programs have been inspired by theStanford BioDesign program [1, 2] and typically include needs identification – a recognized bestpractice for BME education [3] – though specific programmatic structure, content,implementation, and outcomes vary depending on aims and resources [4-17]. More recentinnovations involve remote immersions during the COVID-19 pandemic [18], collaborationswith outside community healthcare providers [19, 20], and the use of virtual reality in immersion[21]. A comprehensive survey of the clinical immersion experiences was
. Theoretical FoundationInformed Career PlanningCareer decision making can be either informed or uninformed. Uninformed career planning isfairly passive and dictated by chance or circumstance, while informed decision making requiresindividuals to take an active role in the process of selecting a future occupation [1]. Withinformed career planning, individuals consciously explore their personal characteristics, therewards that they may accrue through their occupation, and the environmental variables that mayinfluence their experience in the workplace [1].Theory of Value-based Career Decision MakingThe Theory of Value-based Career Decision Making is an approach to informed career planning.This theory states that each person has a unique set of core
engagement data from the coded reports as well as their access pattern.Conclusion: The results of this project continue to show that the forensic biomechanics challenge problemusing the IDEAL framework improves students’ learning through increased engagement.Key words: Gamification, Active learning, Students’ engagement, Forensic biomechanicsIntroductionActive learning has been shown to improve student engagement levels and, consequently, enhance theirlearning through increased motivation and positive attitude toward the technical content [1]. Carefulimplementation of active learning strategies, such as problem-based learning [2,3] and semi-structureddesign projects [4], increases participation and students’ ownership of their learning, helping to
EEC19415433References 1. National Science Board. "Revisiting the STEM workforce: A companion to science and engineering indicators 2014." NSB-2015-10 (2015). 2. National Academies of Sciences, Engineering, and Medicine. Building America's skilled technical workforce. National Academies Press, 2017. 3. Herrera, Felisha A., and Sylvia Hurtado. "Maintaining initial interests: Developing science, technology, engineering, and mathematics (STEM) career aspirations among underrepresented racial minority students." Association for educational research annual meeting, new orleans, la. 2011. 4. Funk, C. Women and Men in STEM Often at Odds Over Workplace Equity. Pew Research Center’s Social & Demographic Trends
experience. goals and how/why you can DFinal: Submit story. make it happen.Table 1: Prompts analyzed including the session covered, in-class topic, story assignment, andhomework assigned, where “D” indicates deliverable4.2.2 External Evaluation of EmpathyWe applied the External Evaluation of Empathy rubric [31] to quantify aspects of empathydescribed by Zaki’s model. This rubric considers each empathy component along severaldimensions and uses four quality performance levels: • Strongly Evident: Displays or articulates this and/or considers the implications clearly. Provides multiple applicable examples
: ASEE Conferences, Jun. 2020. doi: 10.18260/1-2-- 34203.[5] L. Singelmann et al., “Creation of a Framework that Integrates Technical Innovation and Learning in Engineering,” 2021 IEEE Frontiers in Education Conference (FIE), pp. 1-8, Oct. 2021, doi: https://doi.org/10.1109/fie49875.2021.9637179.[6] E. M. Swartz, R. Striker, L. Singelmann, E. A. Vazquez, M. Pearson, and S. S. Ng, “Innovating Assessment: Using Innovative Impact as a Metric to Evaluate Student Outcomes in an Innovation-Based Learning Course,” 2021 ASEE Virtual Annual Conference Content Access Proceedings, doi: 10.18260/1-2--37338[7] E. M. Swartz, M. Pearson, L. Singelmann, R. Striker, and E. A. Vazquez, “Innovation-based Learning
students, exceptfor one group (group 5), which was formed with only two undergraduate students.In the first week of class, the complete process that each student group had to follow over a periodof 14 weeks was explained, as shown in Figure 1. In weeks 6, 9, 12, and 15, students madepresentations of their progress to their classmates. Three feedback sessions were conducted duringthese presentations for each group, highlighting important presentation elements and suggestingimprovements for the next presentation. In the final presentation, students also submitted a briefdocument summarizing the entire process, describing the iterations performed, the anticipatedinnovation, and the impacts of the final design generated in the last iteration.Each
specific feedback. These elements of high-qualityfeedback were later assessed by researchers. As the final stage of peer review, students discussedthe feedback aloud, allowing the opportunity for additional questions and feedback.It is important to note that peer review feedback was purely a qualitative critique, and studentswere not responsible for generating any assessment, neither points-based nor proficiency-based.Assessment of Peer Review QualityThe research assistant assessed the quality of peer reviews using the same criteria used for the in-class peer review activity as summarized in row 3 of Table 1. More specifically, the criteria forassessing review quality are appropriateness, specificity, justification, and suggestion [15] asshown in
approach may leave students unsure about potential careers [3], since itoften does not include integrating innovation, ideation, and developing new products, which arecrucial areas within the cutting-edge BME field [1], [4].One way to improve BME students’ confidence in their career preparation has been to introducethem to undergraduate research in BME-specific areas, such as research experience forundergraduates (REU) programs [5], [6], [7], as a way to encourage them to pursue graduate-level research and apply their curricular knowledge to practice [2], [8]. Generally, REUprograms have encouraged development of communication skills through both oral presentationand writing technical research, laboratory and computer skills, and collaboration
curriculum” (EAC) inengineering; however, these approaches leverage non-engineering department ethics courses ingeneral education requirements and do not emphasize technical content integrated with ethicaldecision making. Table 1: Approaches and challenges for teaching ethics to undergraduate engineering students Ethics course within social Modules in introductory and Ethics Across the sciences/humanities capstone design courses Curriculum (a.k.a. department Embedded Ethics) Approach General Engineering Ethics: Design-focused interventions Brief discussions, typically Safety, Welfare, Equity
, J. S., & Mahon, K., "Mastery quizzing as a signaling device to cue attention to lecturematerial," Teaching of Psychology, vol. 36, no. 1, pp. 29-32, 2009.DOI.org/10.1080/00986280802529152[13] Sweeney, A. M., Wadhwa, V., Farrell, J. J., & Makary, M. S., "Interventional RadiologyEducation for Improving Primary Care Provider Awareness," Current Problems in DiagnosticRadiology, vol. 51, no. 3, pp. 308-312, 2022. DOI.org/10.1067/j.cpradiol.2021.05.003[14] Mazumder, Q. H., "Improving confidence level and performance of first generation andfemale students using metacognition strategies," in 2012 ASEE Annual Conference & Exposition,2012, pp. 25-743. DOI:10.18260/1-2--21500[15] Tsai, T. P., Lin, J., & Lin, L. C., "A flip blended
reinforced teamwork and technical course content.In general, simulated industry experiences were perceived by students to strengthen 2-3 skillseach while the hands-on laboratory experiments were able to build all 5 skills. Students in theoffering with the SIEs only (Fall 2022) and the offering with the SIEs and hands-on laboratoryexperiences (Spring 2023) both showed significant gains over the semester in confidence in theR&D skills and their self-rated preparedness to complete hands-on laboratory research and workin the industry as a process development engineer. Although the average gains in the semesterwith the hands-on laboratory activities were higher, this difference was not statisticallysignificant. Overall, students perceived the SIEs
engineering students feel underprepared when going into the workforce, due to a lack ofreal-world application of the college curriculum and the lack of necessary skills to confidentlymake engineering and business decisions [1-3]. Consequently, the transition between college andone’s first job can be difficult for many graduates [4]. This causes many to seek jobs outside ofthe engineering profession altogether; according to one study, only one-third of engineeringgraduates seek jobs in an engineering field [5]. Furthermore, a study by the Carnegie Foundationfound that engineering schools primarily focus on the acquisition of technical knowledge, leavinglittle attention to real-world application or preparing for employment [6].To combat this issue, the
biomedical engineeringeducation.Works Cited[1] G. C. Fleming, "What engineering employers want: An analysis of technical and professional skills in engineering job advertisements," Journal of Engineering Education, 2024.[2] TIOBE, "The TIOBE index," 2024. [Online]. Available: https://www.tiobe.com/tiobe-index/.[3] A. Gujar, "C vs Python: A Cursory Look with Industry Opinion," Internationl Journal for Research in Applied Science & Engineering Technology, vol. 11, no. 11, 2023.[4] S. Cass, "The 2018 top programming languages.," IEEE Spectrum, 2018.[5] D. Ramel, "Popularity Index: Python is 2018 "Language of the Year"," [Online]. Available: https://adtmag.com/articles/2019/01/08/ti obe-jan-2019.aspx..[6] G.-J. J. Samuel-Felipe Baltanas
electricity & magnetism,general and organic chemistry, and introductory computing. The bioengineering core curriculumthen focuses on topics including cell and tissue engineering, signals & systems, biomedicalinstrumentation, transport & flow, and human physiology. The core curriculum provides studentswith a strong foundation to understand many of the techniques and methodology applied inbioengineering research and development. Throughout each year, projects are present in corecourses to facilitate teamwork and application of course principles [20]. Technical electivecourses may provide discipline-specific, and senior design relevant hands-on design projects[10,15]. However, these are not required and not every student may choose to take
Italian architect StefanoMarzano once said “"every time we design a product we are making a statement about thedirection the world will move in" [1]. As engineering instructors, we must strive to create well-rounded engineers, who are technically sound, creative designers, with strong ethicalconvictions. Engineering education in the United States has traditionally emphasized theacquisition of technical knowledge [2]. Traditional engineering courses can often lack the hands-on training that bridge theoretical knowledge with practical application, limiting engineeringstudents' ability to grasp the real-world implications of their studies [2]. To address this gap, weneed to configure engineering courses to include, in addition to technical and
the basic requirements needed. In the second week, the students were asked to designtheir own bioreactor on paper, present it to the class, and then make a technical drawing of theirdesign. The third week was to prototype the design using LEGOs® and order the materials neededto build it within the given budget. The fourth week was dedicated to building their designs, andthe fifth week was dedicated to testing them to the desired specifications given. Based on thefeedback we recommend the instructors consider adding an additional two weeks to allow studentsto build and test the final prototype.Design Project In the first week, students were introduced to their problem through a case study exampledetailed in Appendix 1. Briefly, student
the most questions and was also note taking and…peering at everything that was going on…[Intern Patricia] would be behind the wall of [Intern Sid and Intern DP]”Faculty Mentor 2 agreed, saying “[Intern Patricia] was generally very excited and interested…”but “…would barely talk at the beginning…with the three of them [together], theywould…overpower her.”Faculty Mentor 1 and Faculty Mentor 2 detailed further examples of STEM performance-competence for Intern DP and Intern Sid when compared with Intern Patricia. Both facultymentors reported making frequent attempts to engage Intern Patricia in the conversations and toelicit her opinions. It was reported that by the end of the summer, Intern Patricia was talking andinteracting more
. Gomillion, University of Georgia Dr. Cheryl Gomillion is Assistant Professor in the School of Chemical, Materials, & Biomedical Engi- neering, part of the College of Engineering at the University of Georgia (UGA). She received her B.S. in Biosystems Engineering with an emphasis in Applied Biotechnology from Clemson University, and she completed both her Master’s and Ph.D. in Bioengineering also at Clemson University. Dr. Gomil- lion’s long-standing research interests are in tissue engineering and regenerative medicine. Specifically, the work of her research group focuses on three general areas: (1) design and evaluation of biomaterials for therapeutic purposes; (2) application of materials for engineering tissue
). Tounderstand the opportunities and challenges of creating this integrated model, stakeholders fromeach course collaborated to lay out the specific objectives of each course, timelines, practicalitiesof the course offerings, and technical content. By integrating the three courses, we found ways notonly to become more efficient in the delivery of instruction but also to benefit students (Figure 1).These benefits provide the students with the opportunity to gain collaborative practice skillsincluding responsibility, accountability, coordination, communication, cooperation, autonomy,and mutual trust and respect [10]. It is critical to note that the independent learning objectives andgoals for each cohort of capstone courses and students were initially
improvingcommunication skills, on a scale of 1 to 10—with 1 being no impact and 10 being greatimpact. In general, across all categories delivering in-person presentations were ratedhigher than delivering pre-recorded presentations, with an average mean score of7.91±1.92 versus 4.24±2.94. Similar trends were seen in the results for audience learningfor in-person versus pre-recorded presentations. Learning objectives assessed for beingan audience member during each presentation style included understanding of the projectpresented, ability to think critically about the project, willingness to ask questions, andunderstanding of the overall module. Across all audience learning categories, in-personpresentation scores averaged 7.5±1.66 while pre-recorded
1 and indicate that at least 62% of students in the course likely engaged inprohibited collaboration of some type, and that the screening script was successful in identifyingapproximately 44% of all students who cheated on the examination. Figure 1: The number in each grouping of self-admission/evidence From the results of the 152 x 152 cross-correlation matrix, 23,104, or 1522 correlation scores were generated, as can be seen in Figure 2. Of these, 152 were autocorrelations generated when a student’s activity timeline was compared to itself, which were retroactively set to null correlation score. The remaining 22,952 scores contain duplicates of each pairing, resulting in a total of 11,476 individual correlation