[1]钱锦昕 余嘉元.基于模糊模式识别的认知诊断[J].南京师大学报(社会科学版),2013,(06):098-102.
 QIAN Jin-xin,YU Jia-yuan.A Fuzzy Pattern Recognition Based Cognitive Diagnosis[J].Journal of Nanjing Normal University (Social Science Edition),2013,(06):098-102.
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基于模糊模式识别的认知诊断
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《南京师大学报》(社会科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年06期
页码:
098-102
栏目:
出版日期:
2013-11-25

文章信息/Info

Title:
A Fuzzy Pattern Recognition Based Cognitive Diagnosis
作者:
钱锦昕 余嘉元*
南京师范大学心理学院,210097
Author(s):
QIAN Jin-xin YU Jia-yuan
关键词:
认知诊断 模糊模式识别 贴近度 心理测量
Keywords:
cognitive diagnosis fuzzy pattern recognition closeness psychological measurement
摘要:
目前绝大多数的认知诊断方法都是基于概率统计方法的,需要在大样本的基础上进行复杂的参数估计。本研究采用模糊模式识别的方法对被试进行分类,模拟结果表明,基于格贴近度的被试分类可以得到很高的诊断准确率。实证研究表明,该方法可以对初中二年级学生掌握数学的认知模式进行很好的诊断。该方法原理清楚、计算简便,无需进行复杂的参数估计,在较小样本条件下也可以使用。
Abstract:
At present, most of the cognitive diagnostic tests are based on the statistical methods. They require large sample and complex parameter estimation. In this study, fuzzy pattern recognition was used to classify the subjects. The simulation research showed that assorting based grid closeness has higher diagnostic accuracy. Empirical research demonstrated this method could diagnose the cognitive pattern of eighth graders in mathematical study very well. The principle of this method is quite clear, and the calculation process is simple. It is also applicable when the sample is small.

备注/Memo

备注/Memo:
* 钱锦昕,南京师范大学心理学院博士研究生; 余嘉元,南京师范大学心理学院教授、博士生导师,210097。本文为国家社会科学基金项目(BBA080050)、国家自然科学基金项目(71271093)研究阶段性成果。
更新日期/Last Update: 2013-11-25