课题基金 / 基金详情

Motor learning; second language acquisition; sign language

Motor learning; second language acquisition; sign language
运动学习;
批准号:
2884835
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
This study focuses on the role of motor learning in second language (L2) acquisition asking: (1) to what degree is learning the motor patterns for an L2 the same as learning other motor patterns (e.g., in dance)? Alternatively, (2) are L2 motor patterns uniquely influenced by language (either the first language, L1, or the L2), e.g., does the meaning linked to movements play a role? And, (3) are these processes the same for L2 comprehension and production? When researching spoken L2 attainment, potential influences from the spoken L1 and from learned motor patterns are confounded. We therefore cannot determine if L2 learners have e.g., accented slow, effortful speech during production or poor understanding during comprehension due to L1 language patterns, or due to motor programs learned from the L1. Sign languages make use of different motor systems from spoken languages: hands/arms versus tongue/lips. This means L1 speakers cannot be influenced from L1 muscle memory when learning signs, but L1 signers can. By comparing how L1 English speakers and L1 British Sign Language signers learn (comprehend and produce) a novel sign language (Hong Kong Sign Language, HKSL) under different conditions we can tease apart the relative contribution of motor learning from language learning.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: