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多分知识结构的知识评价

Knowledge assessment based on polytomous knowledge structures
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摘要 在知识空间理论中,个体的知识状态代表被试在理想条件下能完全解决的问题子集.个体认知能力的差异使得不同被试对问题的解决是有区别的,多分知识状态可用来表示个体对问题的部分解决.在多分问题域Q^(β)上准确构建多分知识结构是对个体进行知识评价和学习指导的关键.在多分的情况下,由Q^(β)到Q^(β)的蕴含关系可诱导拟序多分知识空间,而由2Q^(β)∖Φ到Q^(β)的蕴含关系可诱导多分知识空间.这种多分问题上的Query方式为从表现水平上构建多分知识结构提供了一种有效的方法.当多分知识结构(Q^(β),K)确定后,基于多分知识结构的“基本评估程序”可以准确评价出个体的多分知识状态. In knowledge space theory,the knowledge state of an individual represents the subset of items that the individual can solve completely in ideal conditions.The difference of individual cognitive ability makes different individuals have solutions to items.Therefore,polytomous knowledge states can be used to represent individuals'partial solutions to items.It is the key to evaluate knowledge and guide learning for individuals to accurately construct the knowledge structure on the polytomous problem domain Q^(β).In polytomous cases,an entail relation from Q^(β)to Q^(β)can induce a quasi-ordinal polytomous knowledge space,while an entail relation from 2Q^(β)∖Φ to Q^(β)can induce a polytomous knowledge space.The Query routine on polytomous items provides an effective method for constructing polytomous knowledge structures from the perspective of performance level.When the polytomous knowledge structure(Q^(β),K)is determined,the"Basic Assessment Procedure"based on polytomous knowledge structure can accurately evaluate the individual's polytomous knowledge state.
作者 何丽琴 孙文 李进金 HE Liqin;SUN Wen;LI Jinjin(School of General Education,Zhangzhou Institute of Technology,Zhangzhou,Fujian 363000,China;School of Mathematics and Statistics,Minnan Normal University,Zhangzhou,Fujian 363000,China;Fujian Key Laboratory of Granular Computing and Applications,Zhangzhou,Fujian 363000,China)
出处 《闽南师范大学学报(自然科学版)》 2024年第2期118-132,共15页 Journal of Minnan Normal University:Natural Science
基金 国家自然科学基金项目(12301585,12201284,11971287) 福建省自然科学基金项目(2023J05175,2020J02043,2022J05169,2022J01306)。
关键词 多分知识结构 蕴含关系 粒计算 知识评价 polytomous knowledge structure entail relation granular computing knowledge assessment
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