01177nas a2200121   4500008003900000245007200039210006900111300000900180490000700189520078000196100002800976856005101004       2016                          d00aBayesian Networks in Educational Assessment: The State of the Field0 aBayesian Networks in Educational Assessment The State of the Fie  a3-210 v403 aBayesian networks (BN) provide a convenient and intuitive framework for specifying complex joint probability distributions and are thus well suited for modeling content domains of educational assessments at a diagnostic level. BN have been used extensively in the artificial intelligence community as student models for intelligent tutoring systems (ITS) but have received less attention among psychometricians. This critical review outlines the existing research on BN in educational assessment, providing an introduction to the ITS literature for the psychometric community, and points out several promising research paths. The online appendix lists 40 assessment systems that serve as empirical examples of the use of BN for educational assessment in a variety of domains.1 aCulbertson, Michael, J.  uhttp://apm.sagepub.com/content/40/1/3.abstract