DocumentCode :
2218982
Title :
Study on Improving Fluid Intelligence through Cognitive Training System Based on Gabor Stimulus
Author :
Qiu Feiyue ; Wei Qinqin ; Zhao Liying ; Lin Lifang
Author_Institution :
Coll. of Educ. & Technol., Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
3459
Lastpage :
3462
Abstract :
General fluid intelligence (Gf) is a human ability to reason and solve new problems independently of previously acquired knowledge and experience. It is considered one of the most important factors in learning. One of the issues which academic people concentrates on is whether Gf of adults can be improved. According to the Dual N-back working memory theory and the characteristics of visual perceptual learning, this paper put forward cognitive training pattern based on Gabor stimuli. A total of 20 undergraduate students at 24 years old participated in the experiment, with ten training sessions for ten days. Through using Raven´s Standard Progressive Matrices as the evaluation method to get and analyze the experimental results, it was proved that training pattern can improve fluid intelligence of adults. This will promote a wide range of applications in the field of adult intellectual education.
Keywords :
cognition; matrix algebra; training; Gabor stimulus; academic people; adult intellectual education; cognitive training pattern; cognitive training system; dual N-back working memory theory; general fluid intelligence; improving fluid intelligence; standard progressive matrices; visual perceptual learning; Educational institutions; Educational technology; Frequency; Humans; Information science; Knowledge engineering; Neurons; Pattern analysis; Systems engineering education; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.1124
Filename :
5454984
Link To Document :
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