Bayesian Networks In Educational Testing

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Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “problems, such as diagnosis of Alzheimer’s disease [76], fault location on distribution feeder [77], human cognition [78], educational testing [79], analysis of resistance pathways against HIV-1 protease inhibitors [80], ovarian cancer diagnosis [81], fault diagnostic system for proton exchange memb”
A review of recent advances in learner and skill modeling in intelligent learning environments (2012, background): “Vomlel (2004) addressed the issue of setting the conditional probability tables by reverting to a combination of expert derived estimates and a data driven approach.”
COLLABORATIVE PROBLEM SOLVING AND THE ASSESSMENT OF COGNITIVE SKILLS: PSYCHOMETRIC CONSIDERATIONS (2013, background): “They have also played a central role in the design of complex assessments (Mislevy et al., 2002; Shute, Hansen, & Almond, 2007; VanLehn & Martin, 1998; Vomlel, 2004); therefore, BBNs are an obvious methodological bridge between CPS and traditional psychometric theory.”
User Models for Adaptive Hypermedia and Adaptive Educational Systems (2007, unknown): “However, there are other systems where the structure has been specified or constrained by experts and the parameters are partially or totally derived from data [201], or adjusted to theoretical models, for example, models inspired by Item Response Theory [130] and [90].”