远地点 发表于 2025-3-23 12:38:05

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Bmd955 发表于 2025-3-23 17:01:48

Advances in Intelligent and Soft Computinging educational measurement models in these terms. It then describes and illustrates two estimation approaches: Bayes modal estimation via the expectation–maximization (EM) algorithm and Markov Chain Monte Carlo (MCMC) estimation.

palette 发表于 2025-3-23 18:49:47

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真实的你 发表于 2025-3-23 22:13:11

Sourav Mandal,Sudip Kumar NaskarThe chapter begins discussing the design process and the critical ECD concept of claims. The next sections discuss the six models of the CAF: proficiency models, task models, evidence models, assembly models, presentation models, and delivery models. The closing section discusses how these models work together to form the complete assessment.

啤酒 发表于 2025-3-24 04:04:22

Anindita Mukherjee,Oshmita Dey,B. C. Giriss architecture describes agents (people, computers, or some mix) that actually carry out the operations—from determining what to to, to interacting with examinees, to capturing and evaluating theirwork, to creating and reporting results.

爱好 发表于 2025-3-24 08:17:03

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气候 发表于 2025-3-24 12:08:32

Efficient Calculationshe variables on our beliefs about the remaining variables (i.e., to propagate the evidence). This chapter addresses efficient calculation in networks of discrete variables. The objective is to ground intuition with a simplified version of a basic junction-tree algorithm, illustrated in detail with a numerical example.

反复拉紧 发表于 2025-3-24 18:29:43

Learning in Models with Fixed Structureing educational measurement models in these terms. It then describes and illustrates two estimation approaches: Bayes modal estimation via the expectation–maximization (EM) algorithm and Markov Chain Monte Carlo (MCMC) estimation.

Tortuous 发表于 2025-3-24 21:01:22

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jarring 发表于 2025-3-25 00:25:58

The Conceptual Assessment FrameworkThe chapter begins discussing the design process and the critical ECD concept of claims. The next sections discuss the six models of the CAF: proficiency models, task models, evidence models, assembly models, presentation models, and delivery models. The closing section discusses how these models work together to form the complete assessment.
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查看完整版本: Titlebook: Bayesian Networks in Educational Assessment; Russell G. Almond,Robert J. Mislevy,David M. Willi Textbook 2015 Springer Science+Business Me