...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Education and information technologies >Ubiquitous and Ambient Intelligence Assisted Learning Environment Infrastructures Development - a review
【24h】

Ubiquitous and Ambient Intelligence Assisted Learning Environment Infrastructures Development - a review

机译：无处不在和环境智能辅助学习环境基础设施的发展-评论

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

Ubiquitous Learning Environment (ULE) has been becoming a mobile and sensor based technology equipped environment that suits the modern world education discipline requirements for the past few years. Ambient Intelligence (AmI) makes much smarter the ULE by the support of optimization and intelligent techniques. Various efforts have been so far made as contributions to develop such smart environments. Hence a study is required to know the various smartness levels incorporated in those contributions. In this regard, first, a review on infrastructural developments for ubiquitous learning is reported in this article. Next, this report addresses various open issues, problems & requirements, technology challenges and potential improvements within the scope of Ubiquitous Learning Environment and Ambient Intelligence Assisted Learning Environment (AmIALE). It then also recommends an Internet-of-Things (IoT) enabled Ubiquitous Learning Environment for offering still smarter levels like energy efficiency, connectivity, special needs, Multi-modal Human Computer Interaction, Self-Optimization and Self-Discovery in an effective manner. We strongly believe that this work helps the researchers to start thinking in a different dimension to find solutions for various other current issues.
机译：无所不在的学习环境（ULE）在过去的几年中已成为一种适合移动和传感器技术的环境，适合现代世界教育学科的要求。通过优化和智能技术的支持，环境智能（AmI）使ULE更智能。迄今为止，为开发这种智能环境做出了各种努力。因此，需要进行一项研究以了解这些贡献中所包含的各种智能水平。在这方面，首先，本文报道了针对普遍学习的基础设施发展的综述。接下来，本报告解决了无处不在的学习环境和环境智能辅助学习环境（AmIALE）范围内的各种开放性问题，问题与要求，技术挑战以及潜在的改进。然后，它还建议使用支持物联网（IoT）的无所不在的学习环境，以便以有效的方式提供更智能的级别，例如能源效率，连接性，特殊需求，多模式人机交互，自我优化和自我发现。我们坚信这项工作有助于研究人员从不同的角度出发思考，以找到解决当前其他各种问题的解决方案。

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