Student Support for the AIED 2009 Artificial Intelligence in Education Conference
学生对 AIED 2009 人工智能教育会议的支持
基本信息
- 批准号:0918684
- 负责人:
- 金额:$ 2.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-05-01 至 2010-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This is funding to support travel by 18 intermediate and advanced doctoral students to participate in the AI-ED Doctoral Student Consortium, at the upcoming International Artificial Intelligence in Education Conference (AI-ED), to be held to be held in Brighton, United Kingdom from July 6 to 10, 2009. The AI-ED International Conference is the premier biennial event for promoting promotes rigorous research and development of interactive and adaptive learning environments for learners of all ages; AI ED will be the 7th event in the series. The interdisciplinary areas that AI-ED represents, comprising cognitive science, computer science, and educational technology, are critical research domains that enhance the effectiveness and usability of software learning systems. Active participation of young researchers in this conference is very important, both for the health of the field and for the researchers themselves. The AI-ED Doctoral Consortium provides a unique opportunity for PhD students partway through their dissertation research to receive valuable feedback and individual mentoring from top researchers in the field. The PI and co-PI both hold active leadership roles within AI-ED, and both hold over $2 million of NSF grants in the areas of human-language and advanced learning technologies. The AI-ED Doctoral Consortium Committee will be comprised of the two PIs together with two other senior professors/researchers. Broader Impact: Bringing young and creative researchers to AI-ED will help advance an important and socially valuable interdisciplinary research field. For many graduate students, the cost of attending the AI-ED conference exceeds their travel budget. Thus, NSF funding will significantly impact the careers of the next generation of AIED researchers, by enabling a number of them to take part in an important event they would otherwise have to miss; in particular, those who lack funding from other sources (e.g., advisor's grants). The students will have an opportunity to gain wider exposure in the community for their innovative work, and to obtain feedback and guidance from senior members of the research community. Participation will also help foster a sense of community among these young researchers, by allowing them to create a social network both among themselves and with senior researchers at a critical stage in their professional development. The PI and co-PI have indicated that they will act to assure participation by members of traditionally under-represented institutions, and will pay close attention to inclusion of minorities and women.
这笔资金将用于支持18名中级和高级博士生参加AI-ED博士生联盟,参加即将于2009年7月6日至10日在英国布莱顿举行的国际人工智能教育会议(AI-ED)。AI-艾德国际会议是促进为所有年龄段的学习者提供交互式和自适应学习环境的严格研究和开发的首要两年一度的活动; AI艾德将是该系列的第七次活动。AI-ED所代表的跨学科领域,包括认知科学,计算机科学和教育技术,是提高软件学习系统的有效性和可用性的关键研究领域。青年研究人员积极参加这次会议是非常重要的,无论是对该领域的健康和研究人员本身。AI-ED博士联盟为博士生在论文研究中途提供了一个独特的机会,可以从该领域的顶尖研究人员那里获得宝贵的反馈和个人指导。PI和co-PI都在AI-ED中担任积极的领导角色,并且都在人类语言和高级学习技术领域拥有超过200万美元的NSF赠款。AI-ED博士联盟委员会将由两名PI和另外两名高级教授/研究人员组成。更广泛的影响:将年轻和有创造力的研究人员带到AI-ED将有助于推进一个重要且具有社会价值的跨学科研究领域。对于许多研究生来说,参加AI-ED会议的费用超过了他们的旅行预算。因此,NSF的资助将对下一代AIED研究人员的职业生涯产生重大影响,使他们中的一些人能够参加一个重要的活动,否则他们将不得不错过;特别是那些缺乏其他来源资金的人(例如,顾问赠款)。学生将有机会在社区中获得更广泛的曝光,以促进他们的创新工作,并从研究界的高级成员那里获得反馈和指导。参与还将有助于培养这些年轻研究人员的社区意识,使他们能够在自己之间以及与处于专业发展关键阶段的高级研究人员建立社会网络。PI和共同PI表示,他们将采取行动确保传统上代表性不足的机构的成员参与,并将密切关注少数群体和妇女的参与。
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)
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Roger Azevedo其他文献
A Systematic Review of Self-Regulated Learning through Integration of Multimodal Data and Artificial Intelligence
- DOI:
10.1007/s10648-025-10028-0 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:8.800
- 作者:
Susanne de Mooij;Joni Lämsä;Lyn Lim;Olli Aksela;Shruti Athavale;Inti Bistolfi;Flora Jin;Tongguang Li;Roger Azevedo;Maria Bannert;Dragan Gašević;Sanna Järvelä;Inge Molenaar - 通讯作者:
Inge Molenaar
Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education
用符号教育知识增强深层神经网络:迈向值得信赖和可解释的教育人工智能
- DOI:
10.3390/make6010028 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Danial Hooshyar;Roger Azevedo;Yeongwook Yang - 通讯作者:
Yeongwook Yang
Reflections on the field of metacognition: issues, challenges, and opportunities
- DOI:
10.1007/s11409-020-09231-x - 发表时间:
2020-06-03 - 期刊:
- 影响因子:4.800
- 作者:
Roger Azevedo - 通讯作者:
Roger Azevedo
Novice and expert self-regulated learning phase transitions in medical diagnosis: Implications for adaptive and intelligent systems
- DOI:
10.1007/s11251-025-09729-4 - 发表时间:
2025-07-07 - 期刊:
- 影响因子:2.100
- 作者:
Elizabeth B. Cloude;Rachel Chapman;Roger Azevedo;Analia Castiglioni;Jeffrey LaRochelle;Caridad Hernandez;Dario Torre - 通讯作者:
Dario Torre
Issues in dealing with sequential and temporal characteristics of self- and socially-regulated learning
- DOI:
10.1007/s11409-014-9123-1 - 发表时间:
2014-08-01 - 期刊:
- 影响因子:4.800
- 作者:
Roger Azevedo - 通讯作者:
Roger Azevedo
Roger Azevedo的其他文献
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{{ truncateString('Roger Azevedo', 18)}}的其他基金
FW-HTF-P: Augmenting Healthcare Professionals’ Training, Expertise Development, and Diagnostic Reasoning with AI-based Immersive Technologies in Telehealth
FW-HTF-P:通过远程医疗中基于人工智能的沉浸式技术增强医疗保健专业人员的培训、专业知识发展和诊断推理
- 批准号:
2128684 - 财政年份:2022
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
MetaDash: A Teacher Dashboard Informed by Real-Time Multichannel Self-Regulated Learning Data
MetaDash:由实时多渠道自我调节学习数据提供信息的教师仪表板
- 批准号:
1916417 - 财政年份:2018
- 资助金额:
$ 2.16万 - 项目类别:
Continuing Grant
Convergence HTF: Collaborative: Workshop on Convergence Research about Multimodal Human Learning Data during Human Machine Interactions
融合 HTF:协作:人机交互过程中多模态人类学习数据的融合研究研讨会
- 批准号:
1854175 - 财政年份:2018
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
Convergence HTF: Collaborative: Workshop on Convergence Research about Multimodal Human Learning Data during Human Machine Interactions
融合 HTF:协作:人机交互过程中多模态人类学习数据的融合研究研讨会
- 批准号:
1744351 - 财政年份:2017
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
MetaDash: A Teacher Dashboard Informed by Real-Time Multichannel Self-Regulated Learning Data
MetaDash:由实时多渠道自我调节学习数据提供信息的教师仪表板
- 批准号:
1660878 - 财政年份:2017
- 资助金额:
$ 2.16万 - 项目类别:
Continuing Grant
The Effectiveness of Intelligent Virtual Humans in Facilitating Self-Regulated Learning in STEM with MetaTutor
智能虚拟人通过 MetaTutor 促进 STEM 自我调节学习的有效性
- 批准号:
1431552 - 财政年份:2014
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
SGER: Detecting, Identifying, and Analyzing Cognitive, Affective, Metacognitive, and Motivational (CAMM) States During Self-Regulated Learning with Hypermedia
SGER:利用超媒体进行自我调节学习期间的认知、情感、元认知和动机 (CAMM) 状态的检测、识别和分析
- 批准号:
0841835 - 财政年份:2008
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
CAREER: The Role of Self-Regulated Learning in Students' Understanding of Science with Hypermedia
职业:自我调节学习在学生利用超媒体理解科学方面的作用
- 批准号:
0731828 - 财政年份:2007
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
Student Support for the Artificial Intelligence in Education Conference, Los Angeles, CA -July 9-13, 2007
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- 批准号:
0726616 - 财政年份:2007
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
CAREER: The Role of Self-Regulated Learning in Students' Understanding of Science with Hypermedia
职业:自我调节学习在学生利用超媒体理解科学方面的作用
- 批准号:
0133346 - 财政年份:2002
- 资助金额:
$ 2.16万 - 项目类别:
Standard Grant
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