Research on Knowledge-Based Intelligent Tutoring System

• Published in: Applied Mechanics and Materials Vol. 55-57; pp. 1424 - 1429
• Main Authors: Xu, Wei, Yi, Zhen Zhen, Zhao, Ke, Li, Ya Tao
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 03.05.2011
• Subjects: Automatic Question; Resource Model; Knowledge Granularity; Knowledge Base; Agent Technology; Automatic Reasoning; Individual Tutoring; Automatic Answer
• ISBN: 9783037850992; 303785099X
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.55-57.1424

Aiming at students’ learning process, and based on the analysis of tutorship rules of students’ learning after class, a Knowledge-Based Intelligent Tutoring System is given. The system comprehensively uses agent technology, the knowledge-based automatic reasoning, resource modeling for knowledge classification, field natural language understanding, data mining, computer networks, databases and other technologies. It creates a student-oriented self-motivated learning environment in which students can learn abundant knowledge of one or many subjects, send the problems encountered in their own learning to the system server by network, and get real-time multiple tutorship information as an excellent teacher do.