{"title":"基于位置的电子学习的个性化","authors":"R. Zhou, K. Rechert","doi":"10.1109/NGMAST.2008.20","DOIUrl":null,"url":null,"abstract":"Personalization has proven to be of significant value to educational systems, which provide learning contents tailored to the knowledge, interests and other characteristics of the learners. Location-based E-Learning raises new opportunities and challenges in this field, as learning activities become mobile and location-aware. Integration of personalization and location-awareness even context-awareness will greatly improve the effectiveness of E-Learning. In this paper, we introduce the process of personalization for location-based E-Learning, discuss the personalization techniques regarding learning context modeling, content organization and selection, recommendations and ranking as well as personalized multimedia presentation. A prototypical application is presented at the end of the paper.","PeriodicalId":247507,"journal":{"name":"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Personalization for Location-Based E-Learning\",\"authors\":\"R. Zhou, K. Rechert\",\"doi\":\"10.1109/NGMAST.2008.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Personalization has proven to be of significant value to educational systems, which provide learning contents tailored to the knowledge, interests and other characteristics of the learners. Location-based E-Learning raises new opportunities and challenges in this field, as learning activities become mobile and location-aware. Integration of personalization and location-awareness even context-awareness will greatly improve the effectiveness of E-Learning. In this paper, we introduce the process of personalization for location-based E-Learning, discuss the personalization techniques regarding learning context modeling, content organization and selection, recommendations and ranking as well as personalized multimedia presentation. A prototypical application is presented at the end of the paper.\",\"PeriodicalId\":247507,\"journal\":{\"name\":\"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGMAST.2008.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2008.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Personalization has proven to be of significant value to educational systems, which provide learning contents tailored to the knowledge, interests and other characteristics of the learners. Location-based E-Learning raises new opportunities and challenges in this field, as learning activities become mobile and location-aware. Integration of personalization and location-awareness even context-awareness will greatly improve the effectiveness of E-Learning. In this paper, we introduce the process of personalization for location-based E-Learning, discuss the personalization techniques regarding learning context modeling, content organization and selection, recommendations and ranking as well as personalized multimedia presentation. A prototypical application is presented at the end of the paper.