Automatic generation of fuzzy logic components for enhancing the mechanism of learner's modeling while using educational games

Abstract

Working memory is the system used by every human for temporarily storing and managing the information required to carry out complex cognitive tasks such as learning, reasoning and comprehension. In particular, working memory capacity plays an important role in learning process, because learner often have to hold information in mind while engaged in a learning activities. Having information about learners' WMC could be helpful to support them during the learning process. Khenissi et al. [1] proposed an approach based on fuzzy logic for learner's modeling while using educational games and/or e-learning system. This paper will detail the description of the mechanism proposed by Khenissi et al. [1]. Furthermore, it will describe how the system architecture will be improved by the automatic generation of the fuzzy logic components. In particular, the machine learning, web services and the model of educational games are adopted for automatically generate the components of the fuzzy logic system. The automatic generation of these components will help the expert in parameterizing them, and thus better estimation of the learner's WMC.