[1]艾国金,甘登文,丁树良,等.不定长认知诊断计算机化自适应测验终止规则研究[J].江西师范大学学报(自然科学版),2014,(05):441-444.
 AI Guo-jin,GAN Deng-wen,DING Shu-liang,et al.Research on Variable-Length Termination Rules for Computerized Adaptive Testing with Cognitive Diagnosis[J].Journal of Jiangxi Normal University:Natural Science Edition,2014,(05):441-444.
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不定长认知诊断计算机化自适应测验终止规则研究()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2014年05期
页码:
441-444
栏目:
出版日期:
2014-10-31

文章信息/Info

Title:
Research on Variable-Length Termination Rules for Computerized Adaptive Testing with Cognitive Diagnosis
作者:
艾国金;甘登文;丁树良;熊建华
江西师范大学计算机信息工程学院,江西 南昌,330022
Author(s):
AI Guo-jin;GAN Deng-wen;DING Shu-liang;XIONG Jian-hua
关键词:
认知诊断计算机化自适应不定长终止规则Monte Carlo 模拟题库安全
Keywords:
cognitive diagnosiscomputerized adaptive testingvariable-length termination rulesmonte carlo simu-lationsecurer item pool
分类号:
B841.7;TP301.6
文献标志码:
A
摘要:
目前大多数认知诊断计算机化自适应测验采用定长终止规则,该文提出3种不定长终止规则。通过实验对比,新方法较已有方法具有如下优势:i)能够较好地保障测验精度;ii)大幅降低了人均测验用题数;iii)人均测验用时也有所下降;iv)项目调用均衡性和题库安全性有所增强。
Abstract:
At present,most computerized adaptive testing with cognitive diagnosis adopt fixed-length termination rule. Three kinds of variable-length termination rules have been presented. Compared with the present methods,the new methods have the following advantages according to simulated experiments:i)guarantee the test accuracy prop-erly;ii)lower the per capita testing items;iii)decrease per capita testing time;iv)enhance the balance of extrac-ting items and security of item pool.

参考文献/References:

[1] 漆书青,戴海琦,丁树良.现代教育与心理测量学原理 [M].北京:高等教育出版社,2002.
[2] Tatsuoka C.Data analytic methods for latent partially ordered classification models [J].Applied Statistics,2002,51(3):337-350.
[3] Cheng Ying.Computerized adaptive testing:New developments and applications [D].Urbana-Champaign:University of Illinois,2008.
[4] Hsu C L,Wang W C,Chen S Y.Variable-length computerized adaptive testing based on cognitive diagnosis models [J].Applied Psychological Measurement,2014,4:6-7.
[5] 郭磊,边玉芳.认知诊断计算机化自适应测验变长终止规则的研究 [C]//心理学与创新能力提升——第十六届全国心理学学术会议论文集,2013.
[6] 尚志勇,丁树良.认知诊断自适应测验选题策略探新 [J].江西师范大学学报:自然科学版,2011,35(4):418-421.
[7] Leighton J P,Gierl M,Hunka S M.The attribute hierarchy method for cognitive assessment:a variation on Tatsuoka's rule-space approach [J].Journal of Educational Measurement,2004,41(3):205-236.
[8] 唐小娟,丁树良,毛萌萌,等.基于属性层级结构的认知诊断测验的组卷 [J].心理学探新,2013,33(3):252-259.
[9] 丁树良,罗芬,汪文义.多级评分认知诊断测验蓝图的设计——独立型和收敛型结构 [J].江西师范大学学报:自然科学版,2014,38(2):265-269.
[10] 丁树良,罗芬,汪文义.多级评分认知诊断测验蓝图的设计——根树型结构 [J].江西师范大学学报:自然科学版,2014,38(2):111-118.
[11] 艾国金,甘登文,丁树良.计算机化自适度认知诊断测验按模式分层选题策略 [J].江西师范大学学报:自然科学版,2014,38(3):270-273.

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备注/Memo

备注/Memo:
国家自然科学基金(30860084,31160203,31100756,31360237);国家社会科学基金(12BYY055,13BYY087);江西省教育厅科技计划(GJJ13208,GJJ13206,GJJ13227,GJJ13208,GJJ13209)
更新日期/Last Update: 1900-01-01