Intelligent tutoring Module for a 3Dgame-based science e-learning platform

Abstract

The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learning
platform for science. The individual complexity of 3D games and conventional intelligent tutoring systems (ITS)
results in extra complexities in system design and development of GIST. It is significant to develop practical
GIST, not just to seek the powerful ones. The main contribution of this paper is the lightweight modelling of the
intelligent tutoring module based on the brief-desire-intention (BDI) framework. The tutoring module, which is
implemented by integration of the BDI framework into a game actor, can be able to suggest to each student
specific learning tasks based on his/her learning histories. As a study case, algebra-based physics are intentionally
chosen as the learning contents in this 3D game-based learning system, since the most of existing 3D game-based
learning systems only focused on the qualitative understanding of physical concepts. Our proposed modelling is
only based on the BDI reasoning mechanism, so it can be easily extended to obtain practical GIST by using
standard game engines.