Guiding Understanding via Information from Digital Environments (GUIDE)

通过数字环境中的信息引导理解 (GUIDE)

基本信息

  • 批准号:
    1503311
  • 负责人:
  • 金额:
    $ 298.38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

The Discovery Research K-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. This project will develop and test a digital monitoring tool that will enable teachers to track student learning within a digital learning system and quickly adjust classroom instructional strategies to facilitate learning. The tool will be developed for use with an existing digital curriculum for high school genetics, and it will be tested in both introductory biology courses and advanced courses. The tool will be designed to analyze student progress within the digital curriculum and provide feedback to both students and teachers about challenges to learning as they are occurring. The system will simultaneously monitor and analyze the learning patterns of all students in a class, providing targeted feedback to individual students as needed, or enabling the teacher to make informed decisions about when some students need individual attention, or groups of students need help with a particular concept or learning challenge. As more digital learning experiences are incorporated into classroom practices, digital guidance systems such as this will be needed to help students and teachers effectively blend a variety of classroom learning experiences. This design and development study focuses on improving student learning of domain-specific content and practices within traditional, technology-enriched classroom environments. The project will be guided by findings from prior research in two areas: the learning outcomes of game-like, simulation-based digital learning environments, and the effectiveness of intelligent tutoring systems. The system being developed in this project will construct analytic models of student knowledge and behavior from clickstream data and provide contextualized information at optimal junctures to students or teachers. This approach will enable a three-layered response system: a) direct, targeted support to individual students struggling with basic content; b) referral of a student to another student or group of students having encountered similar learning challenges; and c) feedback to teachers that would facilitate strategic guidance of student learning. Research questions guiding this project will focus on what information about student learning is most useful for guiding learning in digital environments, how can this information improve support for student learning within classrooms, and how does the availability and use of this information improve student knowledge and practices? The design and development work will be conducted over 4 years and will involve teachers and students in 22 classrooms in New England and North Carolina.
探索研究K-12计划(DRK-12)旨在通过研究和开发创新资源、模型和工具(RMT),显著提高K-12学龄前学生和教师在科学、技术、工程和数学(STEM)方面的学习和教学。DRK-12计划中的项目建立在STEM教育的基础研究和先前的研究和开发努力的基础上,这些研究和开发工作为拟议的项目提供了理论和经验证明。该项目将开发和测试一种数字监测工具,使教师能够在数字学习系统中跟踪学生的学习情况,并迅速调整课堂教学策略,以促进学习。该工具将被开发用于现有的高中遗传学数字课程,并将在生物学入门课程和高级课程中进行测试。该工具旨在分析学生在数字课程中的进步,并在学习挑战发生时向学生和教师提供反馈。该系统将同时监控和分析班上所有学生的学习模式,根据需要向个别学生提供有针对性的反馈,或使教师能够做出明智的决定,确定何时某些学生需要个别关注,或者学生群体在特定概念或学习挑战方面需要帮助。随着更多的数字学习体验融入课堂实践,将需要这样的数字指导系统来帮助学生和教师有效地融合各种课堂学习体验。这项设计和开发研究的重点是在传统的、技术丰富的课堂环境中改善学生对特定领域内容和实践的学习。该项目将以两个领域的先前研究结果为指导:类似游戏的、基于模拟的数字学习环境的学习结果,以及智能教学系统的有效性。本项目正在开发的系统将从点击流数据中构建学生知识和行为的分析模型,并在最佳时机向学生或教师提供情景信息。这一方法将形成一个三层反应系统:(A)直接、有针对性地向学习基本内容困难的个别学生提供支持;(B)将一名学生转介给遇到类似学习困难的另一名学生或一组学生;以及(C)向教师提供反馈,以促进对学生学习的战略指导。指导本项目的研究问题将集中在关于学生学习的哪些信息对在数字环境中指导学习最有用,这些信息如何在课堂上改善对学生学习的支持,以及这些信息的可用性和使用如何改善学生的知识和实践?设计和开发工作将在4年内进行,新英格兰和北卡罗来纳州22个教室的教师和学生将参与其中。

项目成果

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Chad Dorsey其他文献

How does Bayesian knowledge tracing model emergence of knowledge about a mechanical system?
贝叶斯知识追踪如何对机械系统知识的出现进行建模?
Measuring epistemic knowledge development related to scientific experimentation practice: A construct modeling approach
衡量与科学实验实践相关的认知知识发展:构建建模方法
  • DOI:
    10.1002/sce.21836
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Hee;G. Gweon;Aubree Webb;Dan Damelin;Chad Dorsey
  • 通讯作者:
    Chad Dorsey
Messy Data, Real Science
凌乱的数据,真正的科学
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Hammett;Chad Dorsey
  • 通讯作者:
    Chad Dorsey
Teacher Implementation and the Impact of Game-Based Science Curriculum Materials
教师实施和基于游戏的科学课程材料的影响
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Christopher D. Wilson;F. Reichsman;Karen Mutch;A. Gardner;Lisa Marchi;Susan M. Kowalski;Trudi Lord;Chad Dorsey
  • 通讯作者:
    Chad Dorsey
Tracking student progress in a game-like learning environment with a Monte Carlo Bayesian knowledge tracing model
使用蒙特卡洛贝叶斯知识追踪模型在类似游戏的学习环境中跟踪学生的进度

Chad Dorsey的其他文献

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{{ truncateString('Chad Dorsey', 18)}}的其他基金

Conference: A Learning Progression for K-12 Data Science Education
会议:K-12 数据科学教育的学习进展
  • 批准号:
    2325871
  • 财政年份:
    2023
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Standard Grant
Contextualizing Data Education via Project-Based Learning
通过基于项目的学习将数据教育情境化
  • 批准号:
    2200887
  • 财政年份:
    2022
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Standard Grant
Data in Space and Time: Supporting Learners in Understanding and Analyzing Spatiotemporal Data
时空数据:支持学习者理解和分析时空数据
  • 批准号:
    2201154
  • 财政年份:
    2022
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Continuing Grant
Collaborative Research: Enhancing Middle Grades Students' Capacity to Develop and Communicate Their Mathematical Understanding of Big Ideas Using Digital Inscriptional Resources
协作研究:提高中年级学生使用数字铭文资源发展和交流对大思想的数学理解的能力
  • 批准号:
    1620874
  • 财政年份:
    2016
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Continuing Grant
InquirySpace 2: Broadening Access to Integrated Science Practices
InquirySpace 2:扩大综合科学实践的机会
  • 批准号:
    1621301
  • 财政年份:
    2016
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Continuing Grant
CAP: Building Partnerships for Education and Speech Research
CAP:建立教育和言语研究合作伙伴关系
  • 批准号:
    1550800
  • 财政年份:
    2015
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Standard Grant
INDP: InquirySpace: Technologies in Support of Student Experimentation
INDP:InquirySpace:支持学生实验的技术
  • 批准号:
    1147621
  • 财政年份:
    2012
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Standard Grant
Concord Consortium Collection
协和财团收藏
  • 批准号:
    1044263
  • 财政年份:
    2010
  • 资助金额:
    $ 298.38万
  • 项目类别:
    Continuing Grant

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