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 AO^\star algorithm are used to find optimal adaptive tests. The proposed AO^\star algorithm is based on a new admissible heuristic function.