Development of an Agent-Based Interactive Tutoring System for Online Teaching in School Using Classter

Abstract

A face-to-face interface between student and teacher is indispensable for students’ tutoring motivation in the aspect of class tutoring. In the absence of the online teacher or during a new subject tutoring, the web-based interactive tutoring system where student and computer interact is very necessary. Thus, a new approach is designed for this aim and which makes use of the communication substances. The self-adaptability of students and the interaction between them with the web-based online teaching based interactive tutoring system is introduced. Following the online teaching based interactive tutoring system being presented, and to account for the tutoring motivations of students and to lay out the results to improve the effects of the web-based tutoring, the Classter tool is used. In this work, the interactive tutoring system components are exposed and the RNN algorithms tool to improve the faculty members ways of monitoring the performance of the students by going through a vast array of useful, intelligent reports generated by the network are explained. The online teaching based Standard Intelligent Tutoring System develops new powerful features which are essentially latest in the predictable online examination simulator. The RNN algorithm adapts the tutoring patterns and gives feedback based on the student's English language performance criterion. Then, the RNN sets the questions with no human interference by the student's English language performance. To a definite extent than at random, a set of questions to smooth out the progress of the examinations which are in general found in online simulator are put to the student. In this paper, 665 students' English language skills of matriculation school level from the Bihar state are taken into consideration.