Wiki system is an important application using Wiki technology for knowledge sharing on internet nowadays. Existing Wikipedia system have been developed with distributed collaboration ability, which most of them can’t support mobile and real-time collaboration. In this paper, a novel real-time mobile collaboration WiKi system based on cloud was presented. At first, the real-time request of user group in cloud-based mobile collaboration WiKi system was discussed, and group pattern for mobile collaboration Wiki system (GPMCW) was constructed in mobile cloud environment. After that, the multiple layered Web architecture oriented mobile cloud environment was proposed. Then, the instance of cloud-based real-time mobile collaboration WiKi system (RMCWS) was given. To demonstrate the feasibility of system, a prototype system named mobile group collaboration supporting platform (MGCSP) has been constructed based on it. Practice shows that RMCWS is robust and efficient for supporting real-time mobile group collaboration, and has a good ability to idea-sharing and knowledge communication for the people. Internet of things (IoT) is about using sensors and actuators to implement Machine to Machine (M2M) communications in addition to connecting people with diverse contexts through the Internet. For example, in transportation sensors can help in the consumers about traffic congestion across the Internet. IoT has also been used, for example protect food by monitoring its quality across the Internet. In health, sensors can also play an important role in monitoring the patients’ status in a real-time manner. Finally, IoT can also be the backbone of in heat and air conditioning automation.

While IoT is not immediately relevant for learning, there is considerable work in the area of ubiquitous learning where the physical world is incorporated into learning design. For example, asking students to walk around a town and using mobile phones to answer questions about particular historical buildings is a classic example of ubiquitous learning. One aspect of such learning is assessment. Assessments can take many forms including formative, diagnostic or summative. Most learning management systems (LMS) support assessments engines that allow teachers to edit and deploy Assessments in the form of multiple-choice questions etc. However, these assessment editors and engines are not directly linked to the physical world in a structured manner. To enact truly ubiquitous learning scenarios, there is a need to directly incorporate IoT into editors and players of such assessments. For example, one may want to formulate questions related to the “current temperature” in London. However, the question is contextual in that when the learner is asked the question, the engine dynamically fetches current temperature in London and displays it to the learner. Similarly, such an engine also needs an ability to automatically calculate the correct answer based on the current temperature.

Thanks &regards

 John Gresham 

Journal coordinator

International Journal of Innovative Research In Computer and Communication Engineering