{"title":"利用维基百科发现学习对象之间的前提关系","authors":"Fabio Gasparetti, C. Limongelli, F. Sciarrone","doi":"10.1109/ITHET.2015.7218038","DOIUrl":null,"url":null,"abstract":"Identifying the pre-requisite relationships among learning objects is a crucial step for faculty and instructional designers when they try to adapt them for delivery in their education distance courses. It results in one of the most relevant constraint to check for ensuring that if a learning object references another, the referenced one is also in the course positioned before the former. This paper reports about a project under development aiming at facilitating this step. In particular, a content-based approach supported by semantic analysis techniques identifies pre-requisite relationships between text-based learning objects without effort by the user.","PeriodicalId":174013,"journal":{"name":"2015 International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Exploiting wikipedia for discovering prerequisite relationships among learning objects\",\"authors\":\"Fabio Gasparetti, C. Limongelli, F. Sciarrone\",\"doi\":\"10.1109/ITHET.2015.7218038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Identifying the pre-requisite relationships among learning objects is a crucial step for faculty and instructional designers when they try to adapt them for delivery in their education distance courses. It results in one of the most relevant constraint to check for ensuring that if a learning object references another, the referenced one is also in the course positioned before the former. This paper reports about a project under development aiming at facilitating this step. In particular, a content-based approach supported by semantic analysis techniques identifies pre-requisite relationships between text-based learning objects without effort by the user.\",\"PeriodicalId\":174013,\"journal\":{\"name\":\"2015 International Conference on Information Technology Based Higher Education and Training (ITHET)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Information Technology Based Higher Education and Training (ITHET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITHET.2015.7218038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Information Technology Based Higher Education and Training (ITHET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITHET.2015.7218038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploiting wikipedia for discovering prerequisite relationships among learning objects
Identifying the pre-requisite relationships among learning objects is a crucial step for faculty and instructional designers when they try to adapt them for delivery in their education distance courses. It results in one of the most relevant constraint to check for ensuring that if a learning object references another, the referenced one is also in the course positioned before the former. This paper reports about a project under development aiming at facilitating this step. In particular, a content-based approach supported by semantic analysis techniques identifies pre-requisite relationships between text-based learning objects without effort by the user.