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)

Paper ID #47660Characterizing student adoption of generative AI in technical communicationcoursesProf. Angela Lai, Tufts University I am a current Assistant Teaching Professor in the Department of Biomedical Engineering at Tufts University. I am involved in mentoring students in both the laboratory and in the classroom and am the program director for the capstone for seniors and engineering design process for juniors.Prof. Kavon Karrobi, Boston University Kavon Karrobi is a Lecturer in the Department of Biomedical Engineering, as well as the Manager of the Bioengineering Technology & Entrepreneurship Center (BTEC) at

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)

combineengineering principles with clinical applications, they lack: (1) an organized interaction ofunstructured and structured learning activities, (2) the immersive analysis of surgical workflows,and (3) a problem-centric approach. Johns Hopkins University (JHU) researchers [4] note that identification and validationare key elements of undergraduate engineering capstone design and that the process is enhancedby clinical observation and root-cause analysis. Limiting factors to implementing this for largegroups of students include limited physician time and expense, small observation groups at anyone time, and non-rigid scheduling of procedures. JHU implemented a team-leader trainingmodel, where students interview to represent their team in this