课题基金 / 基金详情

R&D: Developing Science Problem-Solving Skills and Engagement Through Intelligent Game-Based Learning Environments

R&D: Developing Science Problem-Solving Skills and Engagement Through Intelligent Game-Based Learning Environments
批准号:
0822200
负责人:
James Lester
金额:
$252.33万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-01 至 2012-12-31

项目摘要

项目成果

James Lester的其他基金

相似基金

相关文献

中文摘要
翻译
该项目以早期开发的水晶岛为基础,利用智能辅导和以叙事为中心的学习技术,为小学高年级科学学生提供一套基于智能游戏的学习环境。 这些游戏明确地模拟学生的知识和问题解决能力,并根据需要动态地定制反馈、建议和解释。 与其前身不同,该平台是多用户的,因此它可以支持协作;提供动态生成的反馈,建议和解释;并提供一个教学仪表板,生成学生进度报告。学生通过引人入胜的叙述来浏览丰富的故事世界设置,与游戏中的大量角色互动,并在解决问题的过程中操纵环境中的工件。他们正在进入一个智能的,基于游戏的学习环境,这是一个实验室,研究人员可以调查各种方法,通过这些方法可以最有效地获得复杂的解决问题的技能。因为这样的环境包括多人交互和语音通信,研究可以在协作解决问题的背景下研究复杂的通信。随着多个学生协调他们的努力来解决问题,智能游戏为基础的学习环境创造的情况下,需要有效的协作技能。 通过这些,敬业度也进行了研究,其中包括动机,情境兴趣,在场,流,目标导向和自我效能。
英文摘要
The project builds on the earlier developed Crystal Island and draws upon intelligent tutoring and narrative-centered learning technologies to produce a suite of intelligent game-based learning environments for upper elementary school science students. The games explicitly model student knowledge and problem solving and dynamically customize feedback, advice, and explanation as appropriate. Unlike its predecessor, the platform is multi-user so it can support collaboration; offer dynamically generated feedback, advice, and explanation; and provide a pedagogical dashboard that generates student progress reports.Students navigate rich storyworlds setup by engaging narratives, interact with a large cast of characters in the game, and manipulate artifacts in the environment in the course of solving problems. They are entering an intelligent, game-based learning environment that is a laboratory where researchers can investigating various approaches through which complex problem-solving skills can be most effectively acquired. Because such environments include multiplayer interaction and voice communication, research can study complex communication in the context of collaborative problem solving. With multiple students coordinating their efforts to solve problems, intelligent game-based learning environments create situations that require effective collaboration skills. Through these, engagement is also studied, which includes motivation, situational interest, presence, flow, goal-orientation, and self-efficacy.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
ExplainIt: Improving Student Learning with Explanation-based Classroom Response Systems
  • 批准号:
    2111473
  • 项目类别:
    Standard Grant
  • 资助金额:
    $145.65万
  • 财政年份:
    2021
  • 负责人:
    James Lester
  • 依托单位:
AI Institute for Engaged Learning
  • 批准号:
    2112635
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1999.63万
  • 财政年份:
    2021
  • 负责人:
    James Lester
  • 依托单位:
EAGER: Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research
  • 批准号:
    1938778
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2019
  • 负责人:
    James Lester
  • 依托单位:
Collaborative Research: PrimaryAI: Integrating Artificial Intelligence into Upper Elementary Science with Immersive Problem-Based Learning
  • 批准号:
    1934153
  • 项目类别:
    Standard Grant
  • 资助金额:
    $98.56万
  • 财政年份:
    2019
  • 负责人:
    James Lester
  • 依托单位:
海外基金