Case-Based Reasoning for E-Learning Systems: State of the Art
Abroun Soundoss, Mohamed Ghailani, Abdelhadi Fennan · 2018 IEEE 5th International Congress on Information Science and Technology (CiSt) · 2018
Nowadays E-Iearning systems have known a notable progress in term of learning adaptation. Several systems were proposed in this context and different methods were adopted for the generation of customized learning paths. CBR is a problem-solving paradigm that is distracting increasing attention in the field of systems' personalization in various domains including E-Iearning. In this regard, this paper presents a survey of different CBR systems treating dynamic cases in diverse domains in addition to different approaches to be combined with the CBR approach for an efficient adaptive E-learning system building.