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Reliable Knowledge-Based Adaptive Tests by Credal Networks
[chapter]
2017
Lecture Notes in Computer Science
An adaptive test is a computer-based testing technique which adjusts the sequence of questions on the basis of the estimated ability level of the test taker. We suggest the use of credal networks, a generalization of Bayesian networks based on sets of probability mass functions, to implement adaptive tests exploiting the knowledge of the test developer instead of training on databases of answers. Compared to Bayesian networks, these models might offer higher expressiveness and hence a more
doi:10.1007/978-3-319-61581-3_26
fatcat:lx4irji4hffv3ggn2fdomdmv4a