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Intervention Strategies that Promote Learning: Their Basis and Use in Enhancing Literacy

Intervention Strategies that Promote Learning: Their Basis and Use in Enhancing Literacy
促进学习的干预策略:其基础和在提高读写能力方面的用途
批准号:
9720348
负责人:
James McClelland
金额:
$94.96万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-10-01 至 2003-05-31

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英文摘要
9720348 McClelland Given that learning takes place at the connections between neurons, the pattern of connectivity between brain areas representing different types of information has a strong influence on how hard or easy it is to learn to relate various types of information. The research combines experimental investigation of skill training procedures, computational modeling, functional brain imaging, and automated tutoring in to improve understanding of the brain mechanisms that implement the principles. The work also aims to apply, evaluate, and refine training procedures to produce concrete improvements in the reading proficiency of both normal and reading-impaired children. The results will have important implications not only for the theory and practice of reading education, but also for the effective training of cognitive skills more generally.
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Collaborative Research: Drivers and Biogeochemical Implications of Saltwater Intrusion Along Arctic Coastlines
  • 批准号:
    2316041
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.41万
  • 财政年份:
    2024
  • 负责人:
    James McClelland
  • 依托单位:
Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO)
  • 批准号:
    2230812
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $34.26万
  • 财政年份:
    2022
  • 负责人:
    James McClelland
  • 依托单位:
Collaborative Research: AON: The Arctic Great Rivers Observatory (ArcticGRO)
  • 批准号:
    1914215
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $34.26万
  • 财政年份:
    2019
  • 负责人:
    James McClelland
  • 依托单位:
Collaborative Research: AON: The Arctic Great Rivers Observatory (Arctic-GRO)
  • 批准号:
    1602680
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.1万
  • 财政年份:
    2016
  • 负责人:
    James McClelland
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis