The development of artificial intelligence in education promotes the reform of teaching methods in the direction of intelligence and individuation.In this paper,the programming course is taken as an example to propose...The development of artificial intelligence in education promotes the reform of teaching methods in the direction of intelligence and individuation.In this paper,the programming course is taken as an example to propose a curriculum intelligent brain model for open source swarm intelligence based on knowledge graph,and the bootstrapping framework is introduced to try to make the intelligent brain track the frontier like human beings and study several courses vertically.It studies the knowledge of subgraphs fusion of open-source software resources and domain semantics as well as the mining method of potential relationship,so that the intelligent brain can digest knowledge like human,and get through the course horizontally.Finally,knowledge discovery and natural representation based on knowledge graph enable intelligent brain to discover knowledge and solve problems just like human.This study provides new ideas,strategies,and application paths for the construction of knowledge graph based on big data and the integration of heterogeneous knowledge graph.展开更多
基金Supported by the National Natural Science Foundation of China(61902162,61862033)the Natural Science Foundation of Jiangxi Province(20202BAB202015)+1 种基金the Teaching Reform Project of Jiangxi Normal University(JXSDJG1946)Intelligent Teaching of Computer Courses Under the Background of Artificial Intelligence Exploration and Practice(JXSDJG2143)
文摘The development of artificial intelligence in education promotes the reform of teaching methods in the direction of intelligence and individuation.In this paper,the programming course is taken as an example to propose a curriculum intelligent brain model for open source swarm intelligence based on knowledge graph,and the bootstrapping framework is introduced to try to make the intelligent brain track the frontier like human beings and study several courses vertically.It studies the knowledge of subgraphs fusion of open-source software resources and domain semantics as well as the mining method of potential relationship,so that the intelligent brain can digest knowledge like human,and get through the course horizontally.Finally,knowledge discovery and natural representation based on knowledge graph enable intelligent brain to discover knowledge and solve problems just like human.This study provides new ideas,strategies,and application paths for the construction of knowledge graph based on big data and the integration of heterogeneous knowledge graph.
