The use of Multi Agent Systems in Cloud e-Learning

In recent years, personalization and customization in cloud services are  more  than  evident.  Cloud  e-Learning  (CeL)  is  an  upgraded  model  of traditional  e-Learning  which  aims  to  offer  personalization,  collaboration through  interaction  and  structured  customized  learning  content.  Cloud  e- Learners will express their preferences and be offered courses as a result of a multi-agent system (MAS) interaction which will match learners’ profiles and preferences with content of the learning cloud. The level of intelligence of the multi-agent system will continually increase as more learners interact with the system. Actual learning will be evaluated by agents and learners, thus providing opportunities  to  change  preferences,  domain  interests  and  desired  level  of knowledge.  Agents will be semantically assisted by ontologies. In this paper, we define a scenario for CeL and demonstrate the need for MAS and semantic annotation.  We  also  present  a  tentative  abstract  architecture  and  speculate  on future work.