• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>CBE Life Sciences Education >Design and Performance Frameworks for Constructing Problem-Solving Simulations
【24h】

Design and Performance Frameworks for Constructing Problem-Solving Simulations

机译：构造问题解决模拟的设计和性能框架

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Rapid advancements in hardware, software, and connectivity are helping to shorten the times needed to develop computer simulations for science education. These advancements, however, have not been accompanied by corresponding theories of how best to design and use these technologies for teaching, learning, and testing. Such design frameworks ideally would be guided less by the strengths/limitations of the presentation media and more by cognitive analyses detailing the goals of the tasks, the needs and abilities of students, and the resulting decision outcomes needed by different audiences. This article describes a problem-solving environment and associated theoretical framework for investigating how students select and use strategies as they solve complex science problems. A framework is first described for designing on-line problem spaces that highlights issues of content, scale, cognitive complexity, and constraints. While this framework was originally designed for medical education, it has proven robust and has been successfully applied to learning environments from elementary school through medical school. Next, a similar framework is detailed for collecting student performance and progress data that can provide evidence of students' strategic thinking and that could potentially be used to accelerate student progress. Finally, experimental validation data are presented that link strategy selection and use with other metrics of scientific reasoning and student achievement.
机译：硬件，软件和连接性的快速进步正在帮助缩短开发用于科学教育的计算机仿真所需的时间。但是，这些进步还没有相应的理论，即如何最好地设计和使用这些技术进行教学，学习和测试。理想情况下，此类设计框架应较少地受到演示媒体的优势/局限性的指导，而应由详细描述任务目标，学生的需求和能力以及不同听众所需的决策结果的认知分析指导。本文介绍了一个解决问题的环境和相关的理论框架，以研究学生在解决复杂的科学问题时如何选择和使用策略。首先描述了一个用于设计在线问题空间的框架，该框架突出了内容，规模，认知复杂性和约束等问题。虽然此框架最初是为医学教育而设计的，但事实证明它是可靠的，并已成功应用于从小学到医学院的学习环境。接下来，详细描述了一个类似的框架，用于收集学生的表现和进度数据，这些数据可以提供学生战略思维的证据，并有可能用于加速学生的进步。最后，提供了实验验证数据，这些数据将策略的选择和使用与科学推理和学生成绩的其他指标联系起来。

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