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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 Constraint-Based Collaborative Environment for Learning UML Class Diagramsexperiences in extending the system to provide support for collaboration. We present the architecture, interface and support for collaboration in the new, multi-user system. A full evaluation study has been planned, the goal of which is to evaluate the effect of using the system on students’ learning and collaboration.
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Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure to showing the relative impact of the terms in our model, our model provides evidence of a developmental trend in syntactic awareness beginning around the 2. grade.  Our model also accounts for 10% more variance in students’ external test scores compared to the standard scoring method for MCC questions.
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A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environmentin knowledge, and subsequently provides tailored hints. This article ends with an investigation on the accuracy of proposed learner model by performing a model walk-through with human expert and field trial evaluation with a total number of 30 human students.
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Evaluation of a System That Generates Word Problems Through Interactions with a User the variety of problems from the initial ones stored in the system. We also found that our system needs interactions with a knowledgeable user because novice users cannot necessarily provide the system with effective knowledge.
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Time in the Adaptive Tutoring Process Modeldaptation: the training case can be changed at runtime based on the counter values. This value can count the learner’s steps in the training case, it can be interpreted as duration, or as validity of a state.
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How “Consciousness” Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts’ Traininrmation in diagnosing and guiding learners. We show in the present paper how they effectively support theses processes in the specific context of astronauts training on the manipulation of the Space Station Robotic Manipulation System, Canadarm2.
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