Literature DB >> 19743409

Automatic testing and assessment of neuroanatomy using a digital brain atlas: method and development of computer- and mobile-based applications.

Wieslaw L Nowinski1, Arumugam Thirunavuukarasuu, Anand Ananthasubramaniam, Beng Choon Chua, Guoyu Qian, Natalia G Nowinska, Yevgen Marchenko, Ihar Volkau.   

Abstract

Preparation of tests and student's assessment by the instructor are time consuming. We address these two tasks in neuroanatomy education by employing a digital media application with a three-dimensional (3D), interactive, fully segmented, and labeled brain atlas. The anatomical and vascular models in the atlas are linked to Terminologia Anatomica. Because the cerebral models are fully segmented and labeled, our approach enables automatic and random atlas-derived generation of questions to test location and naming of cerebral structures. This is done in four steps: test individualization by the instructor, test taking by the students at their convenience, automatic student assessment by the application, and communication of the individual assessment to the instructor. A computer-based application with an interactive 3D atlas and a preliminary mobile-based application were developed to realize this approach. The application works in two test modes: instructor and student. In the instructor mode, the instructor customizes the test by setting the scope of testing and student performance criteria, which takes a few seconds. In the student mode, the student is tested and automatically assessed. Self-testing is also feasible at any time and pace. Our approach is automatic both with respect to test generation and student assessment. It is also objective, rapid, and customizable. We believe that this approach is novel from computer-based, mobile-based, and atlas-assisted standpoints.

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Mesh:

Year:  2009        PMID: 19743409     DOI: 10.1002/ase.106

Source DB:  PubMed          Journal:  Anat Sci Educ        ISSN: 1935-9772            Impact factor:   5.958


  11 in total

1.  Attitudes and Perceptions of Medical Undergraduates Towards Mobile Learning (M-learning).

Authors:  Rakesh Narayan Patil; Balaji D Almale; Mrunal Patil; Amit Gujrathi; Supriya Dhakne-Palwe; Anuradha R Patil; Shriram Gosavi
Journal:  J Clin Diagn Res       Date:  2016-10-01

2.  Usefulness of brain atlases in neuroradiology: Current status and future potential.

Authors:  Wieslaw L Nowinski
Journal:  Neuroradiol J       Date:  2016-05-06

Review 3.  Human brain atlasing: past, present and future.

Authors:  Wieslaw L Nowinski
Journal:  Neuroradiol J       Date:  2017-11-03

4.  Item difficulty in the evaluation of computer-based instruction: an example from neuroanatomy.

Authors:  Julia H Chariker; Farah Naaz; John R Pani
Journal:  Anat Sci Educ       Date:  2012-01-09       Impact factor: 5.958

5.  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

6.  NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck.

Authors:  Wieslaw L Nowinski
Journal:  J Digit Imaging       Date:  2022-01-10       Impact factor: 4.056

7.  Toward the holistic, reference, and extendable atlas of the human brain, head, and neck.

Authors:  Wieslaw L Nowinski
Journal:  Brain Inform       Date:  2015-02-27

8.  Neuroanatomy Learning: Augmented Reality vs. Cross-Sections.

Authors:  Dylan J H A Henssen; Loes van den Heuvel; Guido De Jong; Marc A T M Vorstenbosch; Anne-Marie van Cappellen van Walsum; Marianne M Van den Hurk; Jan G M Kooloos; Ronald H M A Bartels
Journal:  Anat Sci Educ       Date:  2019-07-19       Impact factor: 5.958

Review 9.  Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.

Authors:  Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2021-01

10.  Towards an Architecture of a Multi-purpose, User-Extendable Reference Human Brain Atlas.

Authors:  Wieslaw L Nowinski
Journal:  Neuroinformatics       Date:  2021-11-26
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