Titlebook: Intelligent Tutoring Systems; 8th International Co Mitsuru Ikeda,Kevin D. Ashley,Tak-Wai Chan Conference proceedings 2006 Springer-Verlag B

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A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environmentn these learning environments remain an open issue. To tackle this challenge, this article will firstly address the issue on learning model by proposing .. Secondly, aiming at effective modeling and intervening under uncertainty in modeling learner’s exploratory behaviours, decision-theoretic approa

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Conceptual Change Modeling Using Dynamic Bayesian Networkls. INQPRO, an intelligent scientific inquiry exploratory learning environment, refers to a probabilistic learner model aims at modeling conceptual change through the interactions with INQPRO Graphical User Interface (GUI) and Intelligent Pedagogical Agent. In this article, we first discuss how conc

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A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systemsy to represent and reason about uncertainty in time series data, and are therefore well-suited to model student knowledge. Many general-purpose Bayes net packages have been implemented and distributed; however, constructing DBNs often involves complicated coding effort. To address this problem, we i

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Evaluation of a System That Generates Word Problems Through Interactions with a User mathematical solution structures. In this study, we implement a system that generates various word problems by using episodes, which are knowledge regarded as cases of problem generation. Our system interacts with a teacher as a user to acquire the common knowledge needed to generate word problems.

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A Constraint-Based Collaborative Environment for Learning UML Class Diagrams-oriented modelling technology in current practice. We started by developing a single-user ITS that supported students in learning UML class diagrams. The system was evaluated in a real classroom, and the results show that students’ performance increased significantly. In this paper, we present our