Smart Learning through Intelligent Response System

Smart Learning currently means learning animated lessons brought through the visual media. We present an idea of presenting smart learning on web platform in a wiki model. The content is made more appropriate and understandable to the user using the currently available means of learning mechanisms like graphical simulations, videos and animations. We propose a system where the user understands and learns the concepts of the searched content based on a dynamic animated simulation and other data (wiki, videos and graphical simulations) available in the internet. The user also will be provided an interactive simulation environment to create more awareness on the searched content. The entire dynamic simulation is based on the wiki and other relevant content of the searched data and the interactive environment is simulated from the other contents of the same data available in the internet. The system will have a predefined set of graphics (clip arts and images), emotions and trained patterns defined for a predefined set of content. Here we try to integrate cognitive, affective and psychomotor level of learning and redefine the way SMART learning has evolved. The dynamic simulation and animation is dependent on the target group. In short the proposed system generates a dynamically animated story board from the wiki static content for providing the meaning and conceptual understanding of the searched content followed by a dynamic interactive environment to learn the concept in depth. Along with these the user will also be provided with other relevant content (videos and graphical simulations) from the internet for the searched data. So we propose a smart system for learning which can enable humans to get more depth in their understanding and they interact with the system during the learning process through the intelligent interactive learning mechanism.