Probabilistic Question Selection Approach for AR-based Inorganic Chemistry Learning Support System

Abstract

In this paper, we proposed AR-based learning support system using user’s learning history information for inorganic chemistry with probabilistic question selection algorithm based on learner’s operation in the virtual environment. In order to perform experiments in the virtual environment, markers and USB camera are utilized as input interface. By using this interface, a learner can perform the chemical experiments in the virtual environment. For chemical experiments, the proposed system gives some questions to a learner. These questions are selected based on a leaner’s learning history information. This selection algorithm helps a learner performing the experiments corresponding to suitable questions for his/her learning about inorganic chemistry. For selecting a set of questions, probabilistic question selection algorithm is proposed. By using this selection algorithm, a learner can learn repeatedly about inorganic chemistry in the virtual environment. The validity of the proposed system and algorithm was shown as experimental results of subject’s learning result.