Literature DB >> 24563579

Computer-Based Learning: Graphical Integration of Whole and Sectional Neuroanatomy Improves Long-Term Retention.

Farah Naaz1, Julia H Chariker1, John R Pani1.   

Abstract

A study was conducted to test the hypothesis that instruction with graphically integrated representations of whole and sectional neuroanatomy is especially effective for learning to recognize neural structures in sectional imagery (such as MRI images). Neuroanatomy was taught to two groups of participants using computer graphical models of the human brain. Both groups learned whole anatomy first with a three-dimensional model of the brain. One group then learned sectional anatomy using two-dimensional sectional representations, with the expectation that there would be transfer of learning from whole to sectional anatomy. The second group learned sectional anatomy by moving a virtual cutting plane through the three-dimensional model. In tests of long-term retention of sectional neuroanatomy, the group with graphically integrated representation recognized more neural structures that were known to be challenging to learn. This study demonstrates the use of graphical representation to facilitate a more elaborated (deeper) understanding of complex spatial relations.

Entities:  

Year:  2014        PMID: 24563579      PMCID: PMC3930357          DOI: 10.1080/07370008.2013.857672

Source DB:  PubMed          Journal:  Cogn Instr        ISSN: 0737-0008


  17 in total

1.  Effect of visual-spatial ability on medical students' performance in a gross anatomy course.

Authors:  Rebecca S Lufler; Ann C Zumwalt; Carla A Romney; Todd M Hoagland
Journal:  Anat Sci Educ       Date:  2011-11-29       Impact factor: 5.958

2.  Acquiring new spatial intuitions: learning to reason about rotations.

Authors:  John R Pani; Julia H Chariker; Thomas E Dawson; Nathan Johnson
Journal:  Cogn Psychol       Date:  2005-09-13       Impact factor: 3.468

3.  When static media promote active learning: annotated illustrations versus narrated animations in multimedia instruction.

Authors:  Richard E Mayer; Mary Hegarty; Sarah Mayer; Julie Campbell
Journal:  J Exp Psychol Appl       Date:  2005-12

4.  Learning of cross-sectional anatomy using clay models.

Authors:  Chang-Seok Oh; Ji-Young Kim; Yeon Hyeon Choe
Journal:  Anat Sci Educ       Date:  2009 Jul-Aug       Impact factor: 5.958

5.  Spatial reasoning with external visualizations: what matters is what you see, not whether you interact.

Authors:  Madeleine Keehner; Mary Hegarty; Cheryl Cohen; Peter Khooshabeh; Daniel R Montello
Journal:  Cogn Sci       Date:  2008-10

6.  Experimental evidence for improved neuroimaging interpretation using three-dimensional graphic models.

Authors:  Pablo Ruisoto; Juan Antonio Juanes; Israel Contador; Paula Mayoral; Alberto Prats-Galino
Journal:  Anat Sci Educ       Date:  2012-03-20       Impact factor: 5.958

7.  Recognition-by-components: a theory of human image understanding.

Authors:  Irving Biederman
Journal:  Psychol Rev       Date:  1987-04       Impact factor: 8.934

8.  Distortions in judged spatial relations.

Authors:  A Stevens; P Coupe
Journal:  Cogn Psychol       Date:  1978-10       Impact factor: 3.468

9.  Computer-based learning: interleaving whole and sectional representation of neuroanatomy.

Authors:  John R Pani; Julia H Chariker; Farah Naaz
Journal:  Anat Sci Educ       Date:  2012-07-03       Impact factor: 5.958

10.  Twisting space: are rigid and non-rigid mental transformations separate spatial skills?

Authors:  Kinnari Atit; Thomas F Shipley; Basil Tikoff
Journal:  Cogn Process       Date:  2013-02-20
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  5 in total

1.  Visualisation of the medial longitudinal fasciculus using fibre tractography in multiple sclerosis patients with internuclear ophthalmoplegia.

Authors:  J P McNulty; R Lonergan; J Bannigan; R O'Laoide; L A Rainford; N Tubridy
Journal:  Ir J Med Sci       Date:  2016-01-19       Impact factor: 1.568

2.  A sectional anatomy learning tool for medical students: development and user-usage analytics.

Authors:  Vivek Perumal
Journal:  Surg Radiol Anat       Date:  2018-08-16       Impact factor: 1.246

3.  Learning with interactive computer graphics in the undergraduate neuroscience classroom.

Authors:  John R Pani; Julia H Chariker; Farah Naaz; William Mattingly; Joshua Roberts; Sandra E Sephton
Journal:  Adv Health Sci Educ Theory Pract       Date:  2014-01-22       Impact factor: 3.853

4.  Visual completion from 2D cross-sections: Implications for visual theory and STEM education and practice.

Authors:  Kristin Michod Gagnier; Thomas F Shipley
Journal:  Cogn Res Princ Implic       Date:  2016-09-22

Review 5.  Tools and resources for neuroanatomy education: a systematic review.

Authors:  M Arantes; J Arantes; M A Ferreira
Journal:  BMC Med Educ       Date:  2018-05-03       Impact factor: 2.463

  5 in total

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