Research on Knowledge-Based Intelligent Tutoring System

Zhen Zhen Yi; Ke Zhao; Ya Tao Li; Wei Xu

doi:10.4028/www.scientific.net/AMM.55-57.1424

Paper Titles

Study on Shock-Absorbing Capacity of Roadside Safety Devices Made by Porous Ultra-High Molecular Weight Polyethylene
p.1403

Determination of Rheological Parameters for Several Lubricants Applied in the High-Speed and High-Pressure Bearings
p.1407

Development of Heating Device for Diesel Fuel Filter and Analysis of Test
p.1412

Clustering Chinese Web Search Results Based on Association Calculation
p.1418

Research on Knowledge-Based Intelligent Tutoring System
p.1424

A Design and Realization on Quantitative Measurement and Evaluation System for Teaching Effectiveness in Middle and Primary School
p.1430

The Influence of Argon Pressure on the Structural and Physical Properties of LaB₆ Films
p.1436

Free-Form Surface Five-Axis Machining G-Code Automatic Generation System Based on Path Messages for the Different CNC System
p.1441

Application of Solar Technology in Design of Public Buildings of Cold Regions
p.1447

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Research on Knowledge-Based Intelligent Tutoring...

Research on Knowledge-Based Intelligent Tutoring System

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

1424-1429

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.1424

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Online since:

May 2011

Authors:

Zhen Zhen Yi, Ke Zhao, Ya Tao Li, Wei Xu

Keywords:

Agent Technology, Automatic Answer, Automatic Question, Automatic Reasoning, Individual Tutoring, Knowledge Base, Knowledge Granularity, Resource Model

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