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- Biomedical Engineering Division (BED) Poster Session
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- 2024 ASEE Annual Conference & Exposition
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Amy N Adkins, North Carolina State University; Naji S Husseini, North Carolina State University; Lianne Cartee, North Carolina State University
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Diversity
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Biomedical Engineering Division (BED)
into technical writing instruction.References[1] “Best Practices for Using AI When Writing Scientific Manuscripts: Caution, Care, andConsideration: Creative Science Depends on It” ACS Nano 2023, 17, 5, 4091–4093. 2023.https://doi.org/10.1021/acsnano.3c01544[2] Leung TI, de Azevedo Cardoso T, Mavragani A, Eysenbach G. Best Practices for Using AITools as an Author, Peer Reviewer, or Editor. J Med Internet Res. 2023 Aug 31;25:e51584. doi:10.2196/51584. PMID: 37651164; PMCID: PMC10502596.[3] J. Qadir, "Engineering Education in the Era of ChatGPT: Promise and Pitfalls of GenerativeAI for Education," 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait,Kuwait, 2023, pp. 1-9, doi: 10.1109/EDUCON54358.2023.10125121.[4] A. Adkins, N. S
- Conference Session
- Biomedical Engineering Division (BED) Technical Session 3
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- 2024 ASEE Annual Conference & Exposition
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Casey Jane Ankeny, Northwestern University; David P O'Neill, Northwestern University; Ken Gentry, Northwestern University; Philippa Eshun, Northwestern University
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Biomedical Engineering Division (BED)
, feedback, and assessment of each Extended Abstract occur in three stages. Theinstructional team and research team assess each stage differently. Draft stage Peer Review stage Final stage Students… write an abstract then qualitatively and finally, draft, review peer’s draft incorporate feedback using the co-created into final abstract rubric, submission. The instructional does not assess the gives credit for a and grades the final team… abstract draft, complete peer
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- Biomedical Engineering Division (BED) Poster Session
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- 2024 ASEE Annual Conference & Exposition
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Kavon Karrobi, Boston University; Angela Lai, Tufts University
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Biomedical Engineering Division (BED)
of Biomedical Engineering. I am involved in mentoring students in both the laboratory and in the classroom and have research interests in peer feedback, team dynamics, and incorporating more translatable skills to my classes. Currently, I teach senior capstone, research and experimental design, and medical device design. ©American Society for Engineering Education, 2024 Work in Progress: Towards Self-reported Student Usage of AI to Direct Curriculum in Technical Communication Courses1. IntroductionThe use of AI by students in biomedical engineering courses has rapidly grown in the past year[1]. Courses that prioritize critical thinking and technical writing have seen students relying
- Conference Session
- Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)
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- 2024 ASEE Annual Conference & Exposition
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Michael Gordon Browne, The University of Illinois Chicago; Anthony E. Felder, The University of Illinois Chicago; Adrian P. Defante
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Biomedical Engineering Division (BED)
entering industry, but recognition only represents base knowledgeacquisition based on Bloom’s Taxonomy principles. Here we describe a set of curricular modulesto enhance students’ understanding of standards in engineering practice that reflect learning at alllevels of Bloom’s Taxonomy (i.e. recognition/understanding, application, revision, and creation).The modules and their implementation will enhance students’ understanding of standards,including 1) searching and identifying appropriate standards, 2) writing appropriate protocols forthe verification of standards, 3) proposing revisions to standards, and 4) developing newstandards. With this methodology applied to different engineering/technical disciplines, we hopeto establish a distinct value
- Conference Session
- Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)
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- 2024 ASEE Annual Conference & Exposition
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Sarah Ilkhanipour Rooney, University of Delaware; Shameeka M Jelenewicz, University of Delaware
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Biomedical Engineering Division (BED)
delivered in an asynchronous format (video recordings).At the end of each unit, student teams submitted deliverables using templates modeled aftercompany forms: Product Initiation Request form, Design Inputs table, Design Details form, andFailure Mode and Effects Analysis (FMEA) table. The deliverables, mapped to the learning goals(Appendix A), included writing a need statement based on the VoC; examining regulatory, ethics,and impacts of engineered solutions; creating design inputs; summarizing design details andrecreating a CAD model of an existing product; and identifying potential failure modes of anexisting product. Additional assessments tied to learning goals included maintaining a designhistory file (DHF), team norms, peer evaluations