Evaluating a decision-theoretic approach to Tailored example selection

摘要: We present the formal evaluation of a framework that helps students learn from analogical problem solving, i.e., problem-solving activities involve worked-out examples. The incorporates an innovative example-selection mechanism, which tailors choice example to given student so as trigger studying behaviors are known foster learning. This involves two-phase process based on 1) probabilistic user model and 2) decision-theoretic mechanism selects with highest overall utility for learning success. describe this empirical findings its evaluation.