Towards Advanced Learner Modeling: Discussions on Quasi Real-time Adaptation with Physiological Data

In this paper, we discuss the use of physiological data for quasi real-time adaptation in ITS. We present preliminary results where we analyze learners' reactions while using a game-like virtual learning environment. We also discuss the relevance of adding cerebral data to adaptation by the means of an electroencephalogram.

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