Curricula in the health sciences have undergone significant changes and reforms in recent years. One notable change has been the reduction in the time allocated to anatomical education in medical, osteopathic medical, and other health professional programs. Consequently, educators are in search of effective teaching tools and technologies to enhance anatomical education.
This edited book delves into the advancements in anatomical sciences education, including teaching methods, the integration of systems-based components, course design and implementation, assessment strategies, effective learning methods both within and outside the traditional classroom, and innovative approaches to active learning, both in the laboratory and beyond. Many of these advances revolve around computer-based technologies, including virtual reality, augmented reality, mixed reality, digital dissection tables, anatomy apps, 3D printed models, imaging and 3D reconstruction, virtual microscopy, online teaching platforms, tablet computers, video recording devices, software programs, and more. These tools and modalities can be used to create practical guides for large classes, tutorials for small groups, peer teaching and assessment sessions, and various resources for guided and self-directed learning.
Throughout the book, readers will find valuable insights on various topics related to the integration of these advances into anatomical sciences education. The book will commence with an exploration of a novel approach to teaching dissection-based anatomy within the context of organ systems and functional compartments. It will continue to cover diverse subjects, including teaching methodologies, instructional strategies, content development, and guides for selecting effective visualization technologies, particularly in light of the ongoing impact of the COVID-19 pandemic. The book encompasses various anatomical disciplines, including microscopic anatomy/histology, developmental anatomy/embryology, gross anatomy, neuroanatomy, radiological imaging, and integrations of clinical correlations.
