IoT based Smart Interaction Framework for eLearning

Multimedia content boosts the learning trends. This Multimedia and Agents based Question Answering System (MAQAS) is based on Internet of Things in eLearning paradigm. It is aimed to give help especially to the students in finding the more relevant and accurate answers to their questions. This system is for both synchronous and asynchronous communications. The multimedia-based IoT-centric environment is suitable to enhance the effectiveness of the delivery of learning contents. This creates a flexible eLearning paradigm for the teachers and students. The proposed eLearning model uses sensors to detect the student location, temperature, and mobile camera to identify the student's presence at a suitable place, inappropriate atmosphere and his activeness in a learning environment, respectively. Three agents are playing vital roles in making the smart decision about student-teacher interactions. Experimentation is performed and the initial results are drawn. Accuracy value of MAQAS is compared with the well-known existing QA systems; LIVE QA TRACK, QUORA, YODA QA LIVE, AND ASKMSR-QA concerning three types of WH Questions. The overall performance of the proposed systems is proved to be better compared to other competing systems. It was also concluded that eLearning with multimedia settles the goodness of an IoT-based solution. It also enhances the QA to Multimedia and Agent-based Question Answering System.