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Pani, John R.; Chariker, Julia H.; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E. – Advances in Health Sciences Education, 2014
Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…
Descriptors: Neurology, Anatomy, Computer Graphics, Computer Assisted Instruction
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Pani, John R.; Chariker, Julia H.; Naaz, Farah – Anatomical Sciences Education, 2013
The large volume of material to be learned in biomedical disciplines requires optimizing the efficiency of instruction. In prior work with computer-based instruction of neuroanatomy, it was relatively efficient for learners to master whole anatomy and then transfer to learning sectional anatomy. It may, however, be more efficient to continuously…
Descriptors: Computer Assisted Instruction, Brain Hemisphere Functions, Biomedicine, Feedback (Response)
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Chow, Meyrick; Chan, Lawrence – Computers & Education, 2010
Information technology (IT) has the potential to improve the clinical learning environment. The extent to which IT enhances or detracts from healthcare professionals' role performance can be expected to affect both student learning and patient outcomes. This study evaluated nursing students' satisfaction with a novel compartmental Picture…
Descriptors: Nursing Students, Nursing Education, Visualization, Biomedicine