Building adaptive tests using Bayesian networks
We propose a framework for building decision strategies using Bayesian network models and discuss its application to adaptive testing. Dynamic programming and algorithm are used to find optimal adaptive tests. The proposed algorithm is based on a new admissible heuristic function.