A domain knowledge modeling and knowledge level estimation method in an adaptive learning system

• Main Authors: ZHOU DONGDAI, LI ZHEN
• Format: Patent
• Language: Chinese; English
• Published: 18.06.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a domain knowledge modeling and knowledge level estimation method in an adaptive learning system, and particularly relates to the field of adaptive learning. The problem that class education services in the existing education field are difficult to meet personalized education requirements is solved. The method specifically comprises two aspects of domain knowledge modelingbased on a knowledge graph and knowledge level estimation based on a deep learning technology. The domain knowledge modeling based on the knowledge graph comprises the steps of determining a subject knowledge graph framework; Collecting digital teaching resources, analyzing structural characteristics and language characteristics of texts of the digital teaching resources, and constructing an education corpus used for extracting subject knowledge graphs, wherein the education corpus comprises four corpora of word segmentation and part-of-speech tagging, syntactic analysis, named entities and entity relations; Subject k