A new score for adaptive tests in Bayesian and credal networks
A test is adaptive when the sequence and number of questions is dynamically tuned on the
basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, are
used for adaptive tests as they allow to model the uncertainty about the questions and the
skills in an explainable fashion, especially when coping with multiple skills. A better
elicitation of the uncertainty in the question/skills relations can be achieved by interval
probabilities. This turns the model into a credal network, thus increasing the inferential …
basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, are
used for adaptive tests as they allow to model the uncertainty about the questions and the
skills in an explainable fashion, especially when coping with multiple skills. A better
elicitation of the uncertainty in the question/skills relations can be achieved by interval
probabilities. This turns the model into a credal network, thus increasing the inferential …
A New Score for Adaptive Tests in Bayesian and Credal Networks
G Adorni - Symbolic and Quantitative Approaches to Reasoning …, 2021 - books.google.com
A test is adaptive when the sequence and number of questions is dynamically tuned on the
basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, are
used for adaptive tests as they allow to model the uncertainty about the questions and the
skills in an explainable fashion, especially when coping with multiple skills. A better
elicitation of the uncertainty in the question/skills relations can be achieved by interval
probabilities. This turns the model into a credal network, thus increasing the inferential …
basis of the estimated skills of the taker. Graphical models, such as Bayesian networks, are
used for adaptive tests as they allow to model the uncertainty about the questions and the
skills in an explainable fashion, especially when coping with multiple skills. A better
elicitation of the uncertainty in the question/skills relations can be achieved by interval
probabilities. This turns the model into a credal network, thus increasing the inferential …
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