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.