Volume : 4
Issue : 2
Online ISSN : 2394-2126
Print ISSN : 2394-2118
Article First Page : 177
Article End Page : 180
Background: Dissection of cadavers has been the main teaching learning method to learn human anatomy in medical education over the years. Newer teaching learning tools have come up with the advancement of information technology. Many computer-based interactive multimedia learning modules and virtual visualization soft wares are available now. Present study was undertaken to compare the learning with “Anatomage” virtual dissection table versus learning with traditional dissection in neuroanatomy. Student’s perception in regards to utility of “Anatomage” virtual dissection table in learning neuroanatomy was also obtained.
Materials and Method: A randomized cross sectional prospective study was conducted on 122 medical students of 1st year. Students were divided into two groups A and B. Group A studied “internal capsule, basal ganglion and spinal cord” by using “Anatomage” virtual dissection table. Group B learnt through traditional dissection method. Pre and post-tests were conducted for all groups with pre validated questionnaire. Feedback was obtained from students through a 5 point Likert scale. Students’ t test was applied for statistical analysis.
Result: There was no statistically significant difference in gain of knowledge in group A students in comparison to group B students. 51% students found that use of “Anatomage” virtual dissection table helped them understand topic better and majority (79%) felt that it enhanced their class room experience.
Conclusion: “Anatomage” virtual dissection table as a teaching -learning method is as good as traditional dissection to learn neuroanatomy. Teaching-learning with “Anatomage” virtual dissection table facilitates 3D visualization of structures and their relations. It enhances class room experience of learners. It could be included in medical undergraduate curriculum as a teaching tool to facilitate learning.
Keywords: Anatomage, Virtual dissection table, Traditional dissection, Learning anatomy, Virtual dissection