{"title":"基于is - map的教学系统分析方法实证研究","authors":"Kaicheng Yang, F. Lin","doi":"10.1109/CISE.2009.5363551","DOIUrl":null,"url":null,"abstract":"This paper argues that an instructional system is composed of IPT (Information Processing of Teacher), IPLs (Information Processing of Learners), IPM (Information Processing in Media) and IIS (Instructional Information Set). IPT, IPLs, IPM and IIS interacts through information flows which are named {X} and {Y}. To analyze such an instructional system ,we need to build IIS-map which is the result of knowledge modeling, to segment instruction video flow into input items which represent {Y} and calculate the quantity of attribute researchers interested. The activation is the most important attribute. The experiment shows that activation and learning effect of knowledge nodes have positive correlation.","PeriodicalId":135441,"journal":{"name":"2009 International Conference on Computational Intelligence and Software Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Empirical Research on IIS-Map-Based Analysis Method of Instructional System\",\"authors\":\"Kaicheng Yang, F. Lin\",\"doi\":\"10.1109/CISE.2009.5363551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper argues that an instructional system is composed of IPT (Information Processing of Teacher), IPLs (Information Processing of Learners), IPM (Information Processing in Media) and IIS (Instructional Information Set). IPT, IPLs, IPM and IIS interacts through information flows which are named {X} and {Y}. To analyze such an instructional system ,we need to build IIS-map which is the result of knowledge modeling, to segment instruction video flow into input items which represent {Y} and calculate the quantity of attribute researchers interested. The activation is the most important attribute. The experiment shows that activation and learning effect of knowledge nodes have positive correlation.\",\"PeriodicalId\":135441,\"journal\":{\"name\":\"2009 International Conference on Computational Intelligence and Software Engineering\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Computational Intelligence and Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISE.2009.5363551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISE.2009.5363551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Empirical Research on IIS-Map-Based Analysis Method of Instructional System
This paper argues that an instructional system is composed of IPT (Information Processing of Teacher), IPLs (Information Processing of Learners), IPM (Information Processing in Media) and IIS (Instructional Information Set). IPT, IPLs, IPM and IIS interacts through information flows which are named {X} and {Y}. To analyze such an instructional system ,we need to build IIS-map which is the result of knowledge modeling, to segment instruction video flow into input items which represent {Y} and calculate the quantity of attribute researchers interested. The activation is the most important attribute. The experiment shows that activation and learning effect of knowledge nodes have positive correlation.