exterminate
发表于 2025-3-21 18:44:07
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马具
发表于 2025-3-21 22:24:56
IntroductionThis book explores the implications of applying Bayesian networks to educational assessment. This approach supports complex models as needed in for diagnostic testing and constructed response or interactive tasks, but it is also compatible with the models and techniques that have developed in psychometrics over the past century.
Accord
发表于 2025-3-22 03:58:12
Textbook 2015l sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments..Part I develops Bayes nets’ foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm.
Antagonist
发表于 2025-3-22 06:43:19
Bayesian Probability and Statistics: a Reviewal independence, which will form the basic building blocks of our models. Graphical representation of probability models. Random variables. Bayes‘ theorem as a paradigm for learning about unknown quantities.
慢慢流出
发表于 2025-3-22 11:37:46
Basic Graph Theory and Graphical Modelsce of an assessment area will rarely be comfortable with mathematical notation for expressing their ideas. To work with them, the psychometrician needs a representation which is rigorous, but intuitive enough for the substantive experts to be comfortable.
鸽子
发表于 2025-3-22 15:28:19
Parameters for Bayesian Network Modelss that add a layer of probabilistic noise to logical functions such as AND and OR gates, producing the kinds of link functions seen in cognitive diagnosis. Second are models that use functions from normal regression theory and item response theory (such as Samejima‘s graded response model) to model probability tables more parsimoniously.
转换
发表于 2025-3-22 17:15:56
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共和国
发表于 2025-3-22 23:15:48
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夹死提手势
发表于 2025-3-23 03:53:38
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坦白
发表于 2025-3-23 07:33:17
Luca Bartocci,Damiana Lucentinie mathematical models can be refined with data. Although throughout the book there are references to cognitive processes that the probability distributions model, the full discussion of assessment design follows the discussion of the more mathematical issues.