| Autor: |
Abroun Soundoss, Ghailani Mohamed, Fennan Abdelhadi |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
CIST |
| DOI: |
10.1109/cist.2018.8596553 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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