Probabilistic Student Modelling to Improve Exploratory Behaviour

摘要: This paper presents the details of a student model that enables an open learning environment to provide tailored feedback on learner's exploration. Open environments have been shown be beneficial for learners with appropriate styles and characteristics, but problematic those who are not able explore effectively. To address this problem, we built capable detecting when learner is having difficulty exploring providing types assessments needs guide improve exploration available material. The model, which uses Bayesian Networks, was using iterative design evaluation process. We describe process, as it used both define structure its initial validation.