• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on intelligent tutoring systems >Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment
【24h】

Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment

机译：在选择丰富的学习环境中，将学生的表现与行动成果和环境联系起来

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

摘要

This paper presents results from a recent classroom study using Betty's Brain, a choice-rich learning environment in which students learn about a scientific domain (e.g., mammal thermoregulation) as they teach a virtual agent named Betty. The learning and teaching task combines reading and understanding a set of hypertext resources with constructing a causal map that accurately models the science phenomena. The open-ended nature of this task requires students to combine planning, targeted reading, teaching, monitoring their teaching, and making revisions, which presents significant challenges for middle school students. This paper examines students' learning activity traces and compares learning behaviors of students who achieved success with those who struggled to complete their causal maps. This analysis focuses on students' actions leading to changes in their causal maps. We specifically examine which actions led students to make correct versus incorrect changes to their causal map. The results of this analysis suggest future directions in the design and timing of feedback and support for similarly complex, choice-rich learning tasks.
机译：本文介绍了最近使用Betty's Brain进行的课堂研究的结果，Betty's Brain是一个选择丰富的学习环境，学生在学习一个名为Betty的虚拟代理时可以学习科学领域（例如哺乳动物的体温调节）。该学与教任务将阅读和理解一组超文本资源与构建准确模拟科学现象的因果图相结合。这项任务的开放性要求学生结合计划，有针对性的阅读，教学，监控他们的教学以及进行修订，这对中学生构成了重大挑战。本文考察了学生的学习活动轨迹，并比较了那些成功完成学习的学生和那些努力完成因果图的学生的学习行为。该分析着重于学生导致其因果关系图发生变化的行为。我们专门研究了哪些行为导致学生对因果关系图进行正确或不正确的更改。分析结果为反馈的设计和时序以及支持类似的，选择丰富的学习任务提供了未来的方向。

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