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Direct linkPani, 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
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)
Chariker, Julia H.; Naaz, Farah; Pani, John R. – Journal of Educational Psychology, 2011
A longitudinal experiment was conducted to evaluate the effectiveness of new methods for learning neuroanatomy with computer-based instruction. Using a three-dimensional graphical model of the human brain and sections derived from the model, tools for exploring neuroanatomy were developed to encourage "adaptive exploration". This is an…
Descriptors: Anatomy, Neurological Organization, Computer Assisted Instruction, Longitudinal Studies
