Mapping Artificial Intelligence and Education

Abstract

Education plays a predominant role in today’s modern technological world. It opens various doors for achieving better prospects in life and also promotes career growth. The various pedagogical methods used in the field of teaching produces a new quality that favors the task of generating, transmitting and sharing knowledge among students. The capability to facilitate learning and improving performance using appropriate technological processes, would enhance the educational qualities. Artificial Intelligence is one such emergent technology that could be leveraged to create learning tools which are more flexible and efficient. This paper is an attempt to characterize the integration of education and artificial intelligence to streamline the learning process through adaptive learning technique with the help of Bayesian student model, based on clustering methods and interaction traces. Hence the system proposed would help to improvise the user by identifying their strengths and weaknesses.