...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Education and information technologies >Environment based virtual interaction to enhance motivation of STEM education: The qualitative interview design and analysis
【24h】

Environment based virtual interaction to enhance motivation of STEM education: The qualitative interview design and analysis

机译：基于环境的虚拟互动以增强STEM教育的动力：定性访谈设计和分析

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 development of ICT has led to the use of simulation and visualisation (S&V) in various domains as a useful virtual interactive tool. Although there are many discussions and related studies on the relevancy of S&V in current applications, the tools and methods proposed do not sufficiently meet the needs of the different and dynamic users today. A literature study has identified five main components that may influence the STEM motivation among school children through the integration of S&V that are: a) Simulation and Visualisation for CAI; b) Motivation Level and Process; c) Green Environmental Data; d) Learning Outcome; and e) Adaption to Scenario. In this study, green environmental data are used as real scientific data. In order to validate the identified components, semi-structured interviews were conducted with three experts from different backgrounds, which are education, environment, and computer science. They were interviewed based on their experiences and the scope of their works. The interview aimed to gain in-depth information from the experts about the reliability and suitability of the identified components and the underlying elements. The design of the interview protocol and instrument is presented in this paper, which consists of demographics and background, application and factors that influence the usage of S&V, application and factors that influence motivation level and process, usage of environmental data, and current scenarios using S&V technique. Then, the interview data were transcribed, coded and categorised based on the identified themes. The result of the analysis reveals 17 groups of elements which further been The literature into 58 sub-elements.
机译：ICT的发展已导致在各个领域中使用仿真和可视化（S＆V）作为有用的虚拟交互工具。尽管有关S＆V在当前应用程序中的相关性的讨论和相关研究很多，但是提出的工具和方法不能充分满足当今不同动态用户的需求。一项文献研究确定了通过整合S＆V可能影响学龄儿童STEM动机的五个主要因素：a）CAI的仿真和可视化； b）动机水平和过程； c）绿色环境数据； d）学习成果； e）适应场景。在这项研究中，绿色环境数据被用作真实的科学数据。为了验证所确定的组件，对来自教育，环境和计算机科学等不同背景的三位专家进行了半结构化访谈。根据他们的经验和工作范围对他们进行了采访。访谈旨在从专家那里获得有关已识别组件和基础元素的可靠性和适用性的深入信息。本文介绍了访谈协议和工具的设计，包括人口统计和背景，影响S＆V使用的应用和因素，影响动机水平和过程的应用和因素，环境数据的使用以及当前使用情况。 S＆V技术。然后，根据确定的主题对采访数据进行转录，编码和分类。分析结果揭示了17组元素，进一步将文献分为58个子元素。

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