A Conceptual Model for Personalized Learning based on Educational Robots

Abstract

Over a previous couple of years, Distance learning has successfully overcome the shortcomings of traditional methods of teaching and learning, likewise increases student interaction and diversities of opinion, online instructors could also be from any location across the world. So students have the chance to settle on a learning strategy most suited to their abilities, while education is streamlined to satisfy the requirements of the individual in question. Due to the on-going technological change, we are witnessing, Robots are getting an integral component of our society and have great potential in being utilized as an academic technology by providing students with a highly interactive and hands-on learning experience. Indeed, Robotics promises to inspire a replacement generation of learning. With the aim of understanding how students can use robots to review, we created and implemented a learning scenario through an ontological conceptual Model for Personalized Learning supported Educational Robots. This model enables us to supply inferences over learning data and supply personalized learning resources, adapted to the progress of the scholar within the learning process.