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Enhancing Ci3T Professional Learning: Initial Lessons Learned from Ci3T Implementers
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Mark Matthew Buckman; Kathleen Lynne Lane; David James Royer; Eric Alan Common; Wendy Peia Oakes; Amy Briesch; Sandra Chafouleas; Rebecca Sherod; Paloma Pérez; Emily Iovino; Grant Allen; Arabiye Artola Bonanno; Nathan Allen Lane – Education and Treatment of Children, 2024
In this article, we present findings from our first iterative design study for Project ENHANCE to share our findings as well as provide an exemplar for others engaged in design inquiry. In particular, we explain how we used a data-informed design process with district partners to determine content and features of three foundational professional…
Descriptors: Design, Data Use, Decision Making, Multi Tiered Systems of Support
An Early-Curricular Team Learning Activity to Foster Integration of Biochemical Concepts and Clinical Sciences in Undergraduate Medical Education
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Martin Schmidt; Brian Pinney; Craig Canby; April Vargus; Marianka Pille – Biochemistry and Molecular Biology Education, 2024
The ability to connect key concepts of biochemistry with clinical presentations is essential for the development of clinical reasoning skills and adaptive expertise in medical trainees. To support the integration of foundational and clinical sciences in our undergraduate health science curricula, we developed a small group active learning exercise…
Descriptors: Undergraduate Study, Medical Education, Active Learning, Learning Activities
Development and Implementation of a Health Equity-Focused Python and Machine Learning Module in an Introductory BME Course
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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
Quantitative Biology at Community Colleges, a Network of Biology and Mathematics Faculty Focused on Improving Numerical and Quantitative Skills of Students
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Esquibel, Joseph; Rook, Deborah L.; LoRe, Sondra M.; Starnes, John H.; Miller, Jillian M.; Buntz, Jennifer G.; Hugo, Alys; Nieuwsma, Christianne B.; Seitz, Heather; Bissell, Ahrash; Gross, Louis; Kiser, Stacey; Lenhart, Suzanne; Mills, Michael A.; Neuhauser, Claudia; Corriette, Irene; Prescott, Sarah; Jenkins, Kristin P.; Karpakakunjaram, Vedham – CBE - Life Sciences Education, 2023
Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. Quantitative Biology at Community Colleges (QB@CC) is designed to address this need by building a grassroots consortium of community college faculty to (1) engage in interdisciplinary…
Descriptors: Biology, Science Instruction, College Science, Community Colleges