Integrating Modalities into Context Aware eLearning System Using Cloud Computing

ICT and digital Technologies have influenced the everyday life and the way how people learn and work. Nowadays, there is a variety of learning systems supporting innovative digital approaches and many schools, universities and organizations worldwide are investing in building their own e-Learning platforms. However, learners” performance still a concern that requests focus for improvement. The learning processes can be adapted to suit the needs of particular users when the proposed e-learning systems include context-awareness computing. We believe that instead of designing an e-Learning environment with hidden contextual information, e.g.: user's activity, location or nearby devices, we must consider a new e-Learning application approach including context-awareness capabilities. Such a system will be more efficient and adaptive to users' needs. Existing e-Learning systems suffer a lack of dynamic scalability. It's also complexes to extend, and expensive to integrate with other e-Learning platforms. In particular students who have visual processing disorder or hearing impairments can manipulate digital text or use adaptive modules like Subtitles which help them in processing the information effectively. This paper focus on the development of a hybrid e-Learning cloud system that combines the National Institute of Standards and Technology (NIST) architecture and various contexts aware computing such as User context, system context, and environment context that can quickly adjust to any environment change is expected. Were viewed traditional e-Learning architectures and their limitations and then proposed a hybrid cloud computing architecture to offer resources efficiently to all learning stakeholders and improve the education system quality at an affordable cost. To demonstrate the usefulness of the proposed system, we implemented and evaluated a simulation scenario. Based on our results, we highlight facts for increasing the cooperation and communication levels among learners in the proposed e-Learning environments and provide possible directions for future work.