{"title":"Self-learning System Based on Metadata Management Module(MMM) for Providing Self-learning Service","authors":"Sung-Oog Shin, Jung-Oog Lee, D. Baik","doi":"10.1109/ISITAE.2007.4409246","DOIUrl":null,"url":null,"abstract":"Web-based e-learning has been used as a method of education which is economical and flexible, solving the limitations of time and space, a problem with the conventional off-line education. This e-learning system has a possibility to maximize the teaching and learning effectiveness between the educator and the learner respectively. Despite the noticeable development of the e-learning field, there have still been tasks to provide a criterion to adapt to the various environments of contents and contents provision, maximize the re-use of contents, improve methods of learning evaluation and provide customized services to suit individual learners' level. SCORM (Sharable content object reference model) has been playing the role of the criterion to provide on-line content services only by providing a simple environment of contents provision and a criterion for contents production, lacking a self-learning method which enables learners to create the learning steps fit for the learners depending on their learning levels. This study is aimed at specifying more the method of metadata composition in the standardization model which SCORM presents and add a self-learning service function which includes MMM to LMS (Learning Management System), thus offering a system which enables learners to choose the direction of their learning for themselves. The system which includes the proposed metadata management module extends the simple delivery of the sequencing provided by SCORM to maximize the re-use and efficiency of contents and improves the monotonous sequencing of the conventional learning management system through the self-learning system.","PeriodicalId":332503,"journal":{"name":"2007 First IEEE International Symposium on Information Technologies and Applications in Education","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 First IEEE International Symposium on Information Technologies and Applications in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITAE.2007.4409246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Web-based e-learning has been used as a method of education which is economical and flexible, solving the limitations of time and space, a problem with the conventional off-line education. This e-learning system has a possibility to maximize the teaching and learning effectiveness between the educator and the learner respectively. Despite the noticeable development of the e-learning field, there have still been tasks to provide a criterion to adapt to the various environments of contents and contents provision, maximize the re-use of contents, improve methods of learning evaluation and provide customized services to suit individual learners' level. SCORM (Sharable content object reference model) has been playing the role of the criterion to provide on-line content services only by providing a simple environment of contents provision and a criterion for contents production, lacking a self-learning method which enables learners to create the learning steps fit for the learners depending on their learning levels. This study is aimed at specifying more the method of metadata composition in the standardization model which SCORM presents and add a self-learning service function which includes MMM to LMS (Learning Management System), thus offering a system which enables learners to choose the direction of their learning for themselves. The system which includes the proposed metadata management module extends the simple delivery of the sequencing provided by SCORM to maximize the re-use and efficiency of contents and improves the monotonous sequencing of the conventional learning management system through the self-learning system.