Resumen
The three-dimensional (3D) game-based intelligent science tutoring system (GIST) is an e- learningplatform 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 practicalGIST, not just to seek the powerful ones. The main contribution of this paper is the lightweight modelling of theintelligent tutoring module based on the brief-desire-intention (BDI) framework. The tutoring module, which isimplemented by integration of the BDI framework into a game actor, can be able to suggest to each studentspecific learning tasks based on his/her learning histories. As a study case, algebra-based physics are intentionallychosen as the learning contents in this 3D game-based learning system, since the most of existing 3D game-basedlearning systems only focused on the qualitative understanding of physical concepts. Our proposed modelling isonly based on the BDI reasoning mechanism, so it can be easily extended to obtain practical GIST by usingstandard game engines.