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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Probability Based Scaffolding System with Fading
verfasst von : Maomi Ueno, Yoshimitsu Miyasawa
Erschienen in: Artificial Intelligence in Education
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We propose a scaffolding system that provides adaptive hints using a probabilistic model, i.e., item response theory (IRT). First, we propose an IRT for dynamic assessment, whereby learners are tested under dynamic conditions of providing a series of graded hints. We then propose a scaffolding system that presents adaptive hints to a learner according to the estimated ability of IRT from the learner response data. The system provides hints so that the learner’s correct response probability is 0.5. It decreases the number of hints (amount of support) automatically as a fading function according to the learner’s growth capability. We conducted some experiments with students. The results demonstrate that the proposed system is effective.