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DIP: Exploiting Longitudinal Electroencephalogram (EEG) Input in a Reading Tutor

DIP: Exploiting Longitudinal Electroencephalogram (EEG) Input in a Reading Tutor
DIP:利用阅读导师的纵向脑电图 (EEG) 输入
批准号:
1124240
负责人:
David Mostow
金额:
$135.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-01 至 2015-08-31

项目摘要

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中文摘要
翻译
自动化(和人类)导师在根据学生可观察到的行为推断他们头脑中正在发生什么的能力上是有限的。通过研究如何将来自商用设备的脑电图输入作为学生心理状态的证据,提出的工作解决了这一限制。该项目特别侧重于将脑电图增强反馈添加到LISTEN项目的阅读导师中,这是一个帮助儿童学习阅读的智能辅导系统。该项目旨在回答两个问题:(1)我们如何使用脑电图来检测预测、指示或反映学生学习的心理状态?(2)我们如何利用这种检测来提高学生的学习?通过分析来回答这些问题并增强Reading Tutor的功能,可以利用现有的工具来探索、注释和挖掘Reading Tutor记录的EEG数据。这项研究的目的是告诉我们更多关于如何使用脑电图来识别预测学习的心理状态,以及如何使用机器学习来使智能辅导系统更好,它也可能增加对阅读困难来源的了解。这项工作的预期技术贡献包括将脑电图数据与儿童的行为、认知、参与和学习联系起来,以及在阐明智能导师如何强有力地利用有噪声的脑电图输入来更好地辅助学习方面取得进展。这个项目中的技术创新对于那些在发音、单词识别和/或简单推理方面需要额外帮助的孩子来说尤其重要。
英文摘要
Automated (and human) tutors are limited in their ability to infer what is going on in students' heads based on their observable behavior. The proposed work addresses this limitation by investigating how EEG input from a commercially-available device can be used as evidence about students' mental states. In particular, the project focuses on adding EEG-enhanced feedback to Project LISTEN's Reading Tutor, an intelligent tutoring system that helps children learn to read. The project seeks to answer two questions: (1) How can we use EEG to detect mental states that predict, indicate, or reflect student learning? (2) How can we use such detection to improve student learning? Analysis to answer these questions and to enhance the capabilities of the Reading Tutor draws on existing tools to explore annotate, and mine EEG data logged by the Reading Tutor. The research aims to tell us more about how to use EEG to identify mental states that predict learning and to use machine learning to make an intelligent tutoring system better, and it may also add to what is known about sources of reading difficulties. Expected technological contributions of this work include advances in relating EEG data to children's behavior, cognition, engagement, and learning and advances in elucidating how intelligent tutors can robustly exploit noisy EEG input to better assist learning. The technological innovation in this project is particularly important for those children who need extra help with sounding out, word recognition, and/or making simple inferences needed for understanding.
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EAGER: Pilot Investigation of Using Gaze in a Reading Tutor
  • 批准号:
    1322174
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2013
  • 负责人:
    David Mostow
  • 依托单位:
Student Support for the Tenth International Conference on Intelligent Tutoring Systems
  • 批准号:
    1014092
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.5万
  • 财政年份:
    2010
  • 负责人:
    David Mostow
  • 依托单位:
IERI: Integrating Speech and User Modeling in a Reading Tutor that Listens
  • 批准号:
    0326153
  • 项目类别:
    Standard Grant
  • 资助金额:
    $600.0万
  • 财政年份:
    2003
  • 负责人:
    David Mostow
  • 依托单位:
Classroom Use and Efficacy of an Automated Reading Tutor that Listens
  • 批准号:
    9979894
  • 项目类别:
    Standard Grant
  • 资助金额:
    $364.51万
  • 财政年份:
    1999
  • 负责人:
    David Mostow
  • 依托单位:
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