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.

• Type: Conference
• Year: 2007
• Where: ICALT
• Authors: Emmanuel G. Blanchard, Pierre Chalfoun, Claude Frasson
• Keywords: Game-like Virtual Learning, ICALT 2007, Machine Learning, Physiological Data, Quasi Real-time Adaptation