{"title":"利用Petri网对在线教学知识建模","authors":"F. Lin","doi":"10.1109/PACRIM.2001.953560","DOIUrl":null,"url":null,"abstract":"This paper presents an approach to modeling online instruction knowledge for developing online training systems. To overcome the difficulty in online instruction knowledge acquisition and verification, we use Petri nets theory as a tool for specifying and verifying varied training plans and corresponding training scenarios whereby the online instruction knowledge is derived. An experimental example, the virtual reality based computerized numeric control (CNC) operations training system, shows that Petri nets based training tasks and training scenarios analysis can facilitate creating a knowledge base of online training systems.","PeriodicalId":261724,"journal":{"name":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Modeling online instruction knowledge using Petri nets\",\"authors\":\"F. Lin\",\"doi\":\"10.1109/PACRIM.2001.953560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach to modeling online instruction knowledge for developing online training systems. To overcome the difficulty in online instruction knowledge acquisition and verification, we use Petri nets theory as a tool for specifying and verifying varied training plans and corresponding training scenarios whereby the online instruction knowledge is derived. An experimental example, the virtual reality based computerized numeric control (CNC) operations training system, shows that Petri nets based training tasks and training scenarios analysis can facilitate creating a knowledge base of online training systems.\",\"PeriodicalId\":261724,\"journal\":{\"name\":\"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.2001.953560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2001.953560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling online instruction knowledge using Petri nets
This paper presents an approach to modeling online instruction knowledge for developing online training systems. To overcome the difficulty in online instruction knowledge acquisition and verification, we use Petri nets theory as a tool for specifying and verifying varied training plans and corresponding training scenarios whereby the online instruction knowledge is derived. An experimental example, the virtual reality based computerized numeric control (CNC) operations training system, shows that Petri nets based training tasks and training scenarios analysis can facilitate creating a knowledge base of online training systems.