[1]张玉柳,赵 波*,陶金洪.基于模糊认知诊断模型的学生认知状态研究[J].江西师范大学学报(自然科学版),2021,(05):452-459.[doi:10.16357/j.cnki.issn1000-5862.2021.05.02]
　ZHANG Yuliu,ZHAO Bo*,TAO Jinhong.The Study on Students’ Cognitive State Based on Fuzzy Cognitive Diagnosis Framework[J].Journal of Jiangxi Normal University:Natural Science Edition,2021,(05):452-459.[doi:10.16357/j.cnki.issn1000-5862.2021.05.02]
点击复制

基于模糊认知诊断模型的学生认知状态研究()
分享到：

《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2021年05期
页码:
452-459
栏目:
出版日期:
2021-10-10

文章信息/Info

Title:
The Study on Students’ Cognitive State Based on Fuzzy Cognitive Diagnosis Framework
文章编号:
1000-5862(2021)05-0452-08
作者:
张玉柳1; 赵 波1*; 陶金洪2
1.云南师范大学信息学院,云南 昆明 650500; 2.东北师范大学信息科学与技术学院,吉林 长春 130024
Author(s):
ZHANG Yuliu1; ZHAO Bo1*; TAO Jinhong2
1.School of Information Science and Technology,Yunnan Normal University,Kunming Yunnan 650500,China; 2.School of Information Science and Technology,Northeast Normal University,Changchun Jilin 130024,China
关键词:
项目反应理论;  模糊认知诊断;  4参数Logistic模型;  个性化学习
Keywords:
item response theory;  fuzzy cognitive diagnosis;  four-parameter Logistic model;  personalized learning
分类号:
B 841; G 434
DOI:
10.16357/j.cnki.issn1000-5862.2021.05.02
文献标志码:
A
摘要:
教育信息化时代,对个体特征进行精准化的分析成为个性化学习与因材施教的关键.基于不同民族学习群体的认知特点,该文以云南省某高校1 286名汉族学生和715名少数民族学生2019年“高等数学”课程成绩为例,运用模糊认知诊断框架结合4参数Logistic模型,对少数民族和汉族学生的认知状态进行研究.研究结果表明:模糊认知诊断方法能够精准、有效地分析出个体的认知状态,在“高等数学”课程学习中,汉族学生与少数民族学生在不同知识点方面上的认知差异有所不同.因此,考虑学生在学习过程中的认知状态,有利于尊重不同学生的认知差异,进而为个性化学习与精准教学奠定基础.
Abstract:
In the era of information technology in education,precise analysis of individual characteristics has become the key to personalized learning and teaching according to individual needs.Based on the cognitive characteristics of different ethnic learning groups,Advanced Mathematics score of 1 286 Han students and 715 minority students from a university in Yunnan Province are used as an example in 2019.By fuzzy cognitive diagnosis framework combined with a four-parameter Logistic model,the cognitive status between minority and Han students is studied.The results of the study show that the cognitive state of individuals can be accurately and effectively analyzed using the fuzzy cognitive diagnosis method.In the course of Advanced Mathematics,the degree of cognitive difference between Han students and minority students is diverse in different knowledge points.Therefore,considering the cognitive state of students in the learning process is conducive to respecting different students’ cognitive differences,which in turn lays the foundation for personalized learning and precise teaching.

参考文献/References:

[1] 刘三女牙,杨宗凯,李卿.计算教育学:内涵与进路[J].教育研究,2020,41(3):152-159.
[2] Hein E G.Constructivist learning theory[EB/OL].[2020-12-17].https://doi.org/10.1007/978-1-4419-1428-6_2097.
[3] 刘声涛,戴海崎,周骏.新一代测验理论:认知诊断理论的源起与特征[J].心理学探新,2006,26(4):73-77.
[4] Wu Runze,Liu Qi,Liu Yuping,et al.Cognitive modelling for predicting examinee performance[M].CA:AAAI Press,2015:1017-1024.
[5] 张和平,宋乃庆.文化差异与教育回归:对少数民族数学教育中文化差异产生障碍的认识[J].民族教育研究,2016,27(4):77-83.
[6] Lehmann I,Weber R,Hans J Z.Fuzzy set theory[J].Operations Research Spektrum,1992,14(1):1-9.
[7] Barton M A,Lord F M.An upper asymptote for the three-parameter logistic item-response model[EB/OL].[2020-12-09].https://doi.org/10.1002/j.2333-8504.1981.tb01255.x.
[8] Steven P R,Niels G W.How many IRT parameters does it take to model psychopathology items?[J].Psychological Methods,2003,8(2):164-84.
[9] Wright B D.Solving measurement problems with the research model[J].Journal of Educational Measurement,1977,14:97-116.
[10] 刘玥,刘红云.四参数Logistic模型和传统模型对被试作答拟合能力的比较研究[J].心理学探新,2018,38(3):228-235.
[11] Liu Qi,Wu Runze,Chen Enhong,et al.Fuzzy cognitive diagnosis for modelling examinee performance[J].ACM Transactions on Intelligent Systems and Technology,2018,9(4):1-26.
[12] Rasch G.On general laws and the meaning of measurement in psychology[EB/OL].[2020-11-18].https://faculty.econ.ucsb.edu/～doug/.
[13] Junker B W,Sijtsma K.Cognitive assessment models with few assumptions,and connections with nonparametric item Response theory[J].Applied Psychological Measurement,2001,25(3):258-272.
[14] Andriy M,Ruslan S.2007.Probabilistic matrix factorization[EB/OL].[2020-11-18].https://www.techylib.com/fr/view/arya/probabilistic_matrix_factorization.
[15] Lee D D,Seung H S.Algorithms for non-negative matrix factorization[EB/OL].[2020-11-18].https://www.researchgate.net/publication/2538030_Algorithms_for_Non-negative_Matrix_Factorization.
[16] Hessen D J.Constant latent odds-ratios models and the mantel-haenszel null hypothesis[J].Psychometrika,2005,70(3):497-516.
[17] 戴海崎,简小珠.被试作答的偶然性对IRT能力估计的影响研究[J].心理科学,2005,28(6):1433-1436.
[18] 简小珠,张敏强,彭春妹.四参数Logistic模型研究进展及其评析[J].心理学探新,2010,30(3):69-73.
[19] Rulison K,Loken E.I’ve fallen and I can’t get up:can high-ability students recover from early mistakes in CAT?[J].Applied Psychological Measurement,2009,33(2):83-101.
[20] Robert M D,Drake L,Lacy M J,et al.Principles of instructional design[J].Performance Improvement,2005,44(2):44-46.
[21] Embretson S.A multidimensional latent trait model for measuring learning and change[J].Psychometrika,1991,56(3):495-515.
[22] Jan Jantzen.Foundations of fuzzy control:a practical approach,second edition[M].New Jersey:John Wiley and Sons Inc,2013.
[23] Zadeh L A.Fuzzy sets[J].Information and Control,1965,8(3):338-353.
[24] Jimmy De La Torre.The generalized DINA model framework[J].Psychometrika,2011,76(2):179-199.
[25] Jimmy D L T,Jeffrey A D.Higher-order latent trait models for cognitive diagnosis[J].Psychomet Rika,2004,69(3):333-353.[26] Charles L H,Fritz D,Charles K P.Item response theory:application to psychological measurement[EB/OL].[2020-11-20].http://www.springerlink.com/content/7530w21334084j14/.
[27] Pardos Z A,Heffernan N T,Ruiz C,et al.The composition effect:conjunctive or compensatory?An analysis of multi-skill math questions in ITS[EB/OL].[2020-12-10].http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.217.6093
[28] KLir G,Yuan B.Fuzzy sets and Fuzzy logic[M].Englewood Cliffs,NJ:Prentice-Hall,1995.
[29] Andriy Mnih,Ruslan Salakhutdinov.Probabilistic matrix factorization[EB/OL].[2020-12-10].https://www.techylib.com/fr/view/arya/probabilistic_matrix_factorization.
[30] De La Torre,Jimmy.DINA model and parameter estimation:a didactic[J].Journal of Educational and Behavioral Statistics,2009,34(1):115-130.
[31] 涂冬波,高旭亮,刘永,等.认知诊断分析系统(flex CDMs)设计及其实现[C]∥中国心理学会.第20届全国心理学学术会议:心理学与国民心理健康摘要集.北京:中国心理学会,2017.
[32] 孙名符,宋玥蔷.民族文化对数学教育的影响及对新课程实施的启示[J].教育与教学研究,2009,23(10):99-102.
[33] 王敏琦.我国少数民族高考优惠政策的实施现状及优化策略:基于高考加分“瘦身”背景[J].黑龙江民族丛刊,2018(5):183-186.
[34] 姚闳耀,杨维平.文化共生理念下民族数学教育问题反思性研究:兼议民族数学文化融入数学教育思想[J].数学教育学报,2019,28(4):85-91.

相似文献/References:

[1]关潮辉,丁树良.基于IRT模型的BP神经网络参数估计的进一步研究[J].江西师范大学学报(自然科学版),2014,(04):434.
　GUAN Chao-hui,DING Shu-liang.Further Research on the Paraneter Estination Method of BP Neural Network Based on Iten ResPonse Theory[J].Journal of Jiangxi Normal University:Natural Science Edition,2014,(05):434.
[2]简小珠,戴海琦.4参数GRM对猜测现象和失误现象的纠正[J].江西师范大学学报(自然科学版),2016,40(02):116.
　JIAN Xiaozhu,DAI Haiqi.Four-Parameter GRM and the Countermeasure to Sleeping and Guessing Phenomena[J].Journal of Jiangxi Normal University:Natural Science Edition,2016,40(05):116.
[3]黎光明,王小婷.非等组锚题设计下IRT等值方法比较及其应用[J].江西师范大学学报(自然科学版),2017,(05):454.
　LI Guangming,WANG Xiaoting.The Comparison of Equating Methods in Non-Equivalent Group with Anchor Test Design Based on Item Response Theory and Its Application[J].Journal of Jiangxi Normal University:Natural Science Edition,2017,(05):454.
[4]戴步云,谢宇欣,简小珠.基于计算机自适应的大学生社会责任感测验[J].江西师范大学学报(自然科学版),2020,(02):142.[doi:10.16357/j.cnki.issn1000-5862.2020.02.05]
　DAI Buyun,XIE Yuxin,JIAN Xiaozhu.The College Students' Social Responsibility Testing Based on Computerized Adaptation[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(05):142.[doi:10.16357/j.cnki.issn1000-5862.2020.02.05]
[5]刘思杨,蔡 艳*.应用Stan软件包实现IRT模型的贝叶斯参数估计[J].江西师范大学学报(自然科学版),2020,(03):282.[doi:10.16357/j.cnki.issn1000-5862.2020.03.12]
　LIU Siyang,CAI Yan*.Using Stan to Implement Bayesian Parameter Estimation of IRT Models[J].Journal of Jiangxi Normal University:Natural Science Edition,2020,(05):282.[doi:10.16357/j.cnki.issn1000-5862.2020.03.12]
[6]曾 光,张玉玲,谢晓尧,等.一种改进的4参数等级反应模型和应用[J].江西师范大学学报(自然科学版),2023,(02):124.[doi:10.16357/j.cnki.issn1000-5862.2023.02.02]
　ZENG Guang,ZHANG Yuling,XIE Xiaoyao,et al.The Improved Four-Parameter GRM and Its Application[J].Journal of Jiangxi Normal University:Natural Science Edition,2023,(05):124.[doi:10.16357/j.cnki.issn1000-5862.2023.02.02]

备注/Memo

备注/Memo:
收稿日期:2021-02-16
基金项目:国家自然科学基金(61967015),云南省高等学校本科教学改革课题(JG2018060)和云南师范大学2020年度研究生科研创新基金资助项目.
通信作者:赵 波(1963—),女,山西阳城人,教授,博士生导师,主要从事个性化学习和知识工程的研究.E-mail:ykzb63@126.com
更新日期/Last Update: 2021-10-10