EXP: Attention-Aware Cyberlearning to Detect and Combat Inattentiveness During Learning
EXP:注意力感知网络学习,用于检测和克服学习过程中的注意力不集中
基本信息
- 批准号:1748739
- 负责人:
- 金额:$ 45.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-06-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The ability to concentrate on tasks is critical to learning. This project will develop attention-aware cyberlearning as a new genre of learning technologies that automatically detect and respond to students' attentional states. In particular, this project will implement technology that will detect mind wandering (MW) which is when attention shifts from task-related thoughts to task-unrelated thoughts. MW has been studied in the context of complex comprehension tasks and it has been found that a high degree of MW leads to inferior performance. However MW has not been studied in the context of learning with technology and technology solutions have not been proposed to reduce MW. This project addresses MW in the context of learning with technology. The detection of MW is through the use of inexpensive eye-tracking devices. The devices will be integrated with software to detect MW while students are engaged in learning high school biology through an interactive system called Guru. Once MW is detected, software strategies will be used to enable the students return to the learning task. The primary research will be in the development and testing of MW detection algorithms and in the development and testing of strategies to reduce MW.In more detail, the attention-aware Guru will include an integrated eye tracker, an automated gaze-based MW detector, and intervention strategies to improve learning by mitigating the costs of MW. The research will be conducted in 9th grade biology classrooms in Northern Indiana, where the core technological components will be formatively studied, iteratively refined, and summatively evaluated. Generalizable insights will be identified at every stage of the project in order to promote transferability of the findings to future attention-aware technologies, thereby helping students learn to their fullest potential. In summary, the proposed attention-aware Guru technology will be used to advance fundamental research focused on uncovering: (1) the incidence of MW during learning with technology, (2) relationships between MW and learning, (3) patterns of eye-gaze that are diagnostic of MW, (4) automated intervention strategies to reorient attention and reduce the detrimental effects of MW, and (5) generalizable insights to catalyze future implementations of attention-aware cyberlearning.
专注于任务的能力对学习至关重要。该项目将开发注意力感知网络学习作为一种新的学习技术类型,自动检测和响应学生的注意力状态。特别是,该项目将采用检测走神(MW)的技术,即注意力从与任务相关的想法转移到与任务无关的想法。在复杂理解任务的背景下,研究人员已经发现,高程度的理解会导致较差的表现。然而,并没有在技术学习的背景下研究MW,也没有提出降低MW的技术解决方案。该项目在技术学习的背景下解决了MW问题。通过使用廉价的眼球追踪设备来检测多发性骨髓瘤。当学生们通过一个名为Guru的互动系统学习高中生物时,这些设备将与检测MW的软件集成在一起。一旦检测到MW,将使用软件策略使学生返回到学习任务中。主要的研究将是开发和测试毫瓦检测算法,以及开发和测试降低毫瓦的策略。更详细地说,注意力感知大师将包括一个集成的眼动追踪器,一个基于注视的自动脑容量检测器,以及通过降低脑容量成本来改善学习的干预策略。这项研究将在印第安纳州北部的九年级生物教室进行,在那里将对核心技术组件进行形成性研究,迭代改进和总结性评估。将在项目的每个阶段确定可概括的见解,以促进研究结果在未来注意力感知技术中的可转移性,从而帮助学生充分发挥其潜力。总之,所提出的注意力感知大师技术将用于推进基础研究,重点是揭示:(1)使用技术学习时的注意力转移发生率,(2)注意力转移与学习之间的关系,(3)诊断注意力转移的眼睛凝视模式,(4)重新定向注意力和减少注意力转移有害影响的自动化干预策略,以及(5)催化注意力感知网络学习未来实施的可推广的见解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Sidney D'Mello其他文献
Sidney D'Mello的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Sidney D'Mello', 18)}}的其他基金
Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-enabled Formative Feedback for Job-Embedded Learning
协作研究 [FW-HTF-RL]:通过人工智能支持的工作嵌入学习形成性反馈增强教师实践的未来
- 批准号:
2326170 - 财政年份:2023
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
RAPID: Longitudinal Modeling of Teams and Teamwork during the COVID-19 Crisis
RAPID:COVID-19 危机期间团队和团队合作的纵向建模
- 批准号:
2030599 - 财政年份:2020
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
AI Institute: Institute for Student-AI Teaming
人工智能学院:学生人工智能团队学院
- 批准号:
2019805 - 财政年份:2020
- 资助金额:
$ 45.56万 - 项目类别:
Cooperative Agreement
Collaborative Research: FW-HTF-RM: Intelligent Facilitation for Teams of the Future via Longitudinal Sensing in Context
合作研究:FW-HTF-RM:通过上下文中的纵向感知为未来团队提供智能协助
- 批准号:
1928612 - 财政年份:2019
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
AI-DCL: Collaborative Research: EAGER: Understanding and Alleviating Potential Biases in Large Scale Employee Selection Systems: The Case of Automated Video Interviews
AI-DCL:协作研究:EAGER:理解和减轻大规模员工选拔系统中的潜在偏见:自动视频面试的案例
- 批准号:
1921087 - 财政年份:2019
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
Modeling Brain and Behavior to Uncover the Eye-Brain-Mind Link during Complex Learning
模拟大脑和行为以揭示复杂学习过程中的眼-脑-心联系
- 批准号:
1920510 - 财政年份:2019
- 资助金额:
$ 45.56万 - 项目类别:
Continuing Grant
EXP: Collaborative Research: Cyber-enabled Teacher Discourse Analytics to Empower Teacher Learning
EXP:协作研究:基于网络的教师话语分析,增强教师学习能力
- 批准号:
1735793 - 财政年份:2017
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
Collaborative Research: Interpersonal Coordination and Coregulation during Collaborative Problem Solving
协作研究:协作解决问题过程中的人际协调和共同调节
- 批准号:
1660877 - 财政年份:2017
- 资助金额:
$ 45.56万 - 项目类别:
Continuing Grant
Collaborative Research: Interpersonal Coordination and Coregulation during Collaborative Problem Solving
协作研究:协作解决问题过程中的人际协调和共同调节
- 批准号:
1745442 - 财政年份:2017
- 资助金额:
$ 45.56万 - 项目类别:
Continuing Grant
WORKSHOP: Doctoral Consortium at the 2016 ACM User Modeling, Adaptation and Personalization Conference (UMAP 2016)
研讨会:2016 年 ACM 用户建模、适应和个性化会议上的博士联盟 (UMAP 2016)
- 批准号:
1642486 - 财政年份:2016
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
相似国自然基金
多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
- 批准号:
- 批准年份:2022
- 资助金额:30 万元
- 项目类别:青年科学基金项目
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
- 批准号:
- 批准年份:2022
- 资助金额:52 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: HCC: Medium: HCI in Motion -- Using EEG, Eye Tracking, and Body Sensing for Attention-Aware Mobile Mixed Reality
合作研究:HCC:媒介:运动中的 HCI——使用 EEG、眼动追踪和身体感应实现注意力感知移动混合现实
- 批准号:
2211785 - 财政年份:2022
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
Collaborative Research: HCC: Medium: HCI in Motion -- Using EEG, Eye Tracking, and Body Sensing for Attention-Aware Mobile Mixed Reality
合作研究:HCC:媒介:运动中的 HCI——使用 EEG、眼动追踪和身体感应实现注意力感知移动混合现实
- 批准号:
2211784 - 财政年份:2022
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
Attention-Aware Deep Learning for Information Retrieval from Gigapixel Histopathology Scans
用于从十亿像素组织病理学扫描中检索信息的注意力感知深度学习
- 批准号:
518775-2018 - 财政年份:2020
- 资助金额:
$ 45.56万 - 项目类别:
Postgraduate Scholarships - Doctoral
Attention-Aware Deep Learning for Information Retrieval from Gigapixel Histopathology Scans
用于从十亿像素组织病理学扫描中检索信息的注意力感知深度学习
- 批准号:
518775-2018 - 财政年份:2019
- 资助金额:
$ 45.56万 - 项目类别:
Postgraduate Scholarships - Doctoral
EAGER: Attention-Aware Mixed Reality Interfaces
EAGER:注意力感知混合现实界面
- 批准号:
1845587 - 财政年份:2018
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
Attention-Aware Deep Learning for Information Retrieval from Gigapixel Histopathology Scans
用于从十亿像素组织病理学扫描中检索信息的注意力感知深度学习
- 批准号:
518775-2018 - 财政年份:2018
- 资助金额:
$ 45.56万 - 项目类别:
Postgraduate Scholarships - Doctoral
EXP: Attention-Aware Cyberlearning to Detect and Combat Inattentiveness During Learning
EXP:注意力感知网络学习,用于检测和克服学习过程中的注意力不集中
- 批准号:
1523091 - 财政年份:2015
- 资助金额:
$ 45.56万 - 项目类别:
Standard Grant
Design and psychology of user attention in context-aware computing
上下文感知计算中用户注意力的设计和心理
- 批准号:
228152-2004 - 财政年份:2008
- 资助金额:
$ 45.56万 - 项目类别:
Discovery Grants Program - Individual
Design and psychology of user attention in context-aware computing
上下文感知计算中用户注意力的设计和心理
- 批准号:
228152-2004 - 财政年份:2006
- 资助金额:
$ 45.56万 - 项目类别:
Discovery Grants Program - Individual
Design and psychology of user attention in context-aware computing
上下文感知计算中用户注意力的设计和心理
- 批准号:
228152-2004 - 财政年份:2005
- 资助金额:
$ 45.56万 - 项目类别:
Discovery Grants Program - Individual