A Framework of Intelligent Tutorial System: a Comparative Study of Adaptive Learning vs Classroom Learning

At the advent of modern knowledge society requires changes in educational process, and introduces new form of education and training and new skills. The human teaching styles are incorporated in computer based tutoring. This is due to different social needs and large number of students in face-to-face mode. The present worker proposing a framework of an Intelligent Tutorial System that teaches student by identifying the requirement of the student. It will solve the problems faced in general learning and also helps distant mode learner. The proposed work gather total information of a student and according to that decides the teaching path. It supplies proper tutorials to the student. Then time to time it takes different tests to observe the status of the student, and change the way of teaching if requires. In this period it solves any misconceptions of the students. In this way a student gets the proper teaching to increase the level of performance