{"title":"智能辅导系统中客观问题的答案验证方法","authors":"","doi":"10.35596/1729-7648-2023-29-1-48-56","DOIUrl":null,"url":null,"abstract":"An approach to develop a problem solver for automatic answer verification to objective questions in intelligent tutoring systems constructed using OSTIS (Open Semantic Technology for Intelligent Systems) technology is сonsidered. The problem solver is developed based on multi-agent technology within OSTIS. The proposed problem solver automatically verifies the correctness and completeness of the user’s answer at the semantic level by starting the corresponding sc-agent sets according to the type of the questions. The objective question answer verification is one of the main purposes of the developed problem solver, it can also perform the calculation of the similarity between any two semantic graphs.","PeriodicalId":186498,"journal":{"name":"Digital Transformation","volume":"02 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Answer Verification Approach to Objective Questions in Intelligent Tutoring Systems\",\"authors\":\"\",\"doi\":\"10.35596/1729-7648-2023-29-1-48-56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach to develop a problem solver for automatic answer verification to objective questions in intelligent tutoring systems constructed using OSTIS (Open Semantic Technology for Intelligent Systems) technology is сonsidered. The problem solver is developed based on multi-agent technology within OSTIS. The proposed problem solver automatically verifies the correctness and completeness of the user’s answer at the semantic level by starting the corresponding sc-agent sets according to the type of the questions. The objective question answer verification is one of the main purposes of the developed problem solver, it can also perform the calculation of the similarity between any two semantic graphs.\",\"PeriodicalId\":186498,\"journal\":{\"name\":\"Digital Transformation\",\"volume\":\"02 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Transformation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35596/1729-7648-2023-29-1-48-56\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Transformation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35596/1729-7648-2023-29-1-48-56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
研究了在基于OSTIS (Open Semantic Technology for intelligent systems)技术构建的智能辅导系统中,针对客观问题的自动答案验证问题求解器的开发方法。问题求解器是基于OSTIS内部的多智能体技术开发的。所提出的问题解决器通过根据问题类型启动相应的sc-agent集,在语义级别自动验证用户答案的正确性和完整性。客观的问题答案验证是所开发的问题求解器的主要目的之一,它还可以计算任意两个语义图之间的相似度。
An Answer Verification Approach to Objective Questions in Intelligent Tutoring Systems
An approach to develop a problem solver for automatic answer verification to objective questions in intelligent tutoring systems constructed using OSTIS (Open Semantic Technology for Intelligent Systems) technology is сonsidered. The problem solver is developed based on multi-agent technology within OSTIS. The proposed problem solver automatically verifies the correctness and completeness of the user’s answer at the semantic level by starting the corresponding sc-agent sets according to the type of the questions. The objective question answer verification is one of the main purposes of the developed problem solver, it can also perform the calculation of the similarity between any two semantic graphs.