Best practices in active and student-centered learning in physiology classes
Author(s) -
Barbara E. Goodman,
Megan Barker,
James E. Cooke
Publication year - 2018
Publication title -
ajp advances in physiology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.501
H-Index - 60
eISSN - 1522-1229
pISSN - 1043-4046
DOI - 10.1152/advan.00064.2018
Subject(s) - physiology , active learning (machine learning) , teaching method , human physiology , psychology , mathematics education , computer science , medicine , artificial intelligence
This review article includes our analysis of the literature and our own experiences in using various types of active learning as best practices for evidence-based teaching in physiology. We have evaluated what physiology students should be expected to learn and what are specific challenges to enhancing their learning of physiology principles. We also consider how the instructor should design his or her teaching to improve buy-in from both students and other faculty members. We include a discussion of how the readers can evaluate their teaching approaches for their successes in enhancing student learning of physiology. Thus we have addressed pedagogical improvements specific to student learning of physiology, with additional suggestions from cognitive psychology approaches that can improve physiology teaching and learning.
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