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Jessica L. S. Zylla; Alain B. Bomgni; Rajesh K. Sani; Mahadevan Subramaniam; Carol Lushbough; Robb Winter; Venkataramana R. Gadhamshetty; Parvathi Chundi; Etienne Z. Gnimpieba – Biomedical Engineering Education, 2024
Historically, research disciplines have successfully operated independently. However, the emergence of transdisciplinary research has led to convergence methodologies, resulting in groundbreaking discoveries. Despite the benefits, graduate programs face challenges in implementing transdisciplinary research and preparing students for real-world…
Descriptors: Research Methodology, Interdisciplinary Approach, Active Learning, Student Projects
Ga-Young Kelly Suh; Siavash Ahrar – Biomedical Engineering Education, 2024
Many authentic BME projects require system integration. This year, before the start of the open-ended Capstone projects, three connected modules were used as an initiative to practice systems integration and thus promote readiness. To this aim, a Do-It-Yourself spectrophotometer/colorimeter was used as the interconnecting theme. In the first two…
Descriptors: Capstone Experiences, Readiness, Learning Modules, Outcomes of Education
Sujithra Raviselvam; Karupppasamy Subburaj; Katja Hölttä-Otto; Kristin L. Wood – Biomedical Engineering Education, 2022
Extreme-user experiences refer to experiences that simulate the extremes of user abilities like reduced or no visual attention or auditory attention. Inspired by the needs experienced by the users who experience physical or cognitive challenges, extreme-user perspectives can make designers understand their designs from an inclusive design…
Descriptors: Usability, Outcomes of Education, Undergraduate Students, Learning Modules
Kaitlyn Storm; Jerry Zhang; Eileen Haase – Biomedical Engineering Education, 2022
Our first year biomedical engineering course exposes students to multiple engineering and design techniques within an overarching theme of understanding health inequity. Currently, the semester-long curriculum excludes computational methods such as Python programming and Machine Learning, which are usually not introduced until more advanced BME…
Descriptors: Artificial Intelligence, Programming Languages, Learning Modules, Introductory Courses
Christopher J. Panebianco; Madhura P. Nijsure; Erin E. Berlew; Annie L. Jeong; Joel D. Boerckel – Biomedical Engineering Education, 2024
Mechanobiology is an interdisciplinary field that aims to understand how physical forces impact biological systems. Enhancing our knowledge of mechanobiology has become increasingly important for understanding human disease and developing novel therapeutics. There is a societal need to teach diverse students principles of mechanobiology so that we…
Descriptors: Learning Modules, Active Learning, Inquiry, Interdisciplinary Approach