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        Eagle Eye: a progress measure for intelligent tutoring systems

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        Thesis_AI_EagleEye_PeterBlomsma_aug2018.pdf (9.751Mb)
        Publication date
        2018
        Author
        Blomsma, P.A.
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        Summary
        The aim of intelligent tutoring is to let a learner reach a specific learning outcome within the shortest time and least effort possible, while at the same time keeping the learner motivated. To effectively reach this goal, an accurate evaluation of a learner’s progress within an intelligent tutoring system is crucial in order to optimize learning content towards a learner’s needs. This thesis presents Eagle Eye, a sensitive progress measure which is easy to interpret by both human and machine. Eagle Eye has been implemented and tested in a goal-based intelligent tutoring system that aims to improve self-management skills of children with type 1 diabetes. Initial results indicate that Eagle Eye’s output enables human experts to evaluate a child’s progress and use that evaluation to ensure optimal learning.
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        https://studenttheses.uu.nl/handle/20.500.12932/30732
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