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Paper Abstract and Keywords
Presentation 2014-11-29 11:10
Performance of an e-learning system for the karyotyping skill
Mieko Kogi, Kaori Sakamoto, Tatsuya Yoshizawa (K.I.T.)
Abstract (in Japanese) (See Japanese page) 
(in English) It is very important to analyze human chromosomes for the definitive diagnosis, in order to predict congenital abnormality and to prenatally diagnose genetic abnormality of fetuses. This analysis generally has been carried out by well-trained experts with a long-term experience. Since there is a shortage of those experts in the recent clinical field due to the increasing of the diagnosis required chromosomal analyses, it is mandatory to employ more experts. However, it is required that the experts must supervise unskilled trainees to practice to be trained experts despite this circumstance. To increase the number of the experts with a limited time, we therefore developed a new self-training education system for learning the karyotyping skill. This system can improve trainees’ skills with their own paces and levels of the skills without supervising by the experts.
To evaluate this system, here we tested the performance of how beginners can improve their skill by using this system. Results showed that all trainees could improve their karyotyping skills significantly after 60 repeats of the training. This result indicates that this system has a great performance to learn and to improve the karyotyping skill for any beginners.
Keyword (in Japanese) (See Japanese page) 
(in English) e-Learning / Karyotyping / G-band / / / / /  
Reference Info. ITE Tech. Rep., vol. 38, no. 46, HI2014-77, pp. 65-67, Nov. 2014.
Paper # HI2014-77 
Date of Issue 2014-11-21 (HI) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee HI  
Conference Date 2014-11-28 - 2014-11-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto City International Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Visual and auditory Senses, multi modal processing, Kansei information processing, etc. 
Paper Information
Registration To HI 
Conference Code 2014-11-HI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance of an e-learning system for the karyotyping skill 
Sub Title (in English)  
Keyword(1) e-Learning  
Keyword(2) Karyotyping  
Keyword(3) G-band  
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1st Author's Name Mieko Kogi  
1st Author's Affiliation Kanazawa INstitute of Technology (K.I.T.)
2nd Author's Name Kaori Sakamoto  
2nd Author's Affiliation Kanazawa INstitute of Technology (K.I.T.)
3rd Author's Name Tatsuya Yoshizawa  
3rd Author's Affiliation Kanazawa INstitute of Technology (K.I.T.)
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Speaker
Date Time 2014-11-29 11:10:00 
Presentation Time 20 
Registration for HI 
Paper # ITE-HI2014-77 
Volume (vol) ITE-38 
Number (no) no.46 
Page pp.65-67 
#Pages ITE-3 
Date of Issue ITE-HI-2014-11-21 


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