{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:11Z","timestamp":1740202031723,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>The paper deals with digital resources in education and mainly focuses on the approbation of the extended metadata model of digital learning resources. The extended metadata model has been developed by covering methodological resources and learning objects in order to increase their accessibility and usage in teaching process. The key purpose of methodological resources is to render conditions for teachers in order to share the professional experience and growth, to spread methodological novelties, to help pupils and their parents to use the training and learning process more effectively. Different ways of choosing and combining learning objects oblige teachers first of all to know and estimate them, in line with the requirements posed to the contemporary school. Effective learning resource search and browsing possibilities can be realized only if standardized metadata are used. The metadata are the essential part of information infrastructure which is necessary while establishing order in internet chaos by using descriptions, classifications and structures which are helpful in creating more power and useful information repositories. At the moment the extended metadata model is implemented in the Lithuanian learning object metadata repository prototype. The paper focuses mainly on the results of an experimental approbation of the metadata model.<\/jats:p>","DOI":"10.3233\/978-1-61499-161-8-371","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:21:00Z","timestamp":1740133260000},"source":"Crossref","is-referenced-by-count":0,"title":["Research on the Extended Metadata Model of Methodological Digital Resources"],"prefix":"10.3233","author":[{"family":"Kubilinskiene Svetlana","sequence":"additional","affiliation":[]},{"family":"Dagiene Valentina","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Databases and Information Systems VII"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:55:17Z","timestamp":1740135317000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=249&spage=371"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-161-8-371","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2013]]}}}