• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Databases and information systems VII >Research on the Extended Metadata Model of Methodological Digital Resources
【24h】

Research on the Extended Metadata Model of Methodological Digital Resources

机译：方法论数字资源扩展元数据模型研究

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：本文涉及教育中的数字资源，主要侧重于对数字学习资源的扩展元数据模型的认可。通过覆盖方法资源和学习对象来开发扩展的元数据模型，以增加其在教学过程中的可访问性和使用率。方法资源的主要目的是为教师创造条件，以分享专业经验和成长，传播方法上的新颖性，帮助学生及其父母更有效地利用培训和学习过程。选择和组合学习对象的不同方法首先要使教师知道并估计它们，这要符合当代学校的要求。只有使用标准化的元数据，才能实现有效的学习资源搜索和浏览可能性。元数据是信息基础结构的重要组成部分，在使用描述，分类和结构来建立互联网混乱中的顺序时，这是必不可少的，这有助于创建更多功能和有用的信息存储库。目前，扩展的元数据模型已在立陶宛学习对象元数据存储库原型中实现。本文主要关注元数据模型的实验验证结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号