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AI Institute for Engaged Learning

AI Institute for Engaged Learning
人工智能参与学习研究所
批准号:
2112635
负责人:
James Lester
金额:
$1999.63万
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-10-01 至 2026-09-30

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英文摘要
Emerging breakthroughs in AI create significant and timely opportunities for accelerating innovation relevant to pressing national challenges in STEM education. Advances in AI are enabling new levels of interactivity, engagement, and inclusion. Driven by a vision in which AI supports and extends the intelligence of teachers and learners, the NSF AI Institute for Engaged Learning will design, develop, and investigate AI-driven narrative learning environments that create engaging story-based, collaborative problem-solving experiences. The Institute will conduct foundational AI research in natural language processing, computer vision, and machine learning, as well as in AI ethics. Building on these foundational advances, the Institute will conduct use-inspired AI research on narrative learning environments with rich AI-driven virtual agents and powerful multimodal sensing capabilities to understand how students learn and collaborate in rich story-based problem scenarios. The Institute will provide a robust infrastructure to support at-scale implementations of AI-driven narrative learning environments. It will create a nexus for distinctive innovations in in-school and out-of-school STEM education. Its research vision will be to empower diverse learners to become the next-generation STEM workforce by creating generative, collaborative AI-driven narrative learning environments that deeply engage learners in schools, at museums, and within their own communities. This vision will be informed by connections with diverse stakeholders to ensure that the Institute’s learning environments are ethically designed and promote diversity, equity, and inclusion. The NSF AI Institute for Engaged Learning will produce transformative advances in STEM teaching and learning by bringing together a team of diverse researchers from four universities (North Carolina State University; Indiana University, University of North Carolina at Chapel Hill; Vanderbilt University), as well as an educational non-profit organization (Digital Promise) which will bring educational practitioners, policy makers, and product developers into the work. The Institute’s partners include a national network of K-12 schools, museums, and non-profit organizations. The Institute will create narrative learning environments that generate interactive stories dynamically tailored to the needs and interests of individual students and small groups and in multiple settings (classrooms, after-school programs, and museums). The Institute’s research has three complementary thrusts, to create: (1) narrative learning environments that generate engaging interactive story-based problem scenarios that elicit rich communication, require coordination, and spark collaborative creativity; (2) embodied conversational agent technologies with multiple modalities for communication (speech, facial expression, gesture, gaze, and posture) to support engaging learning interactions. Embodied conversational agents will be driven by advances in natural language understanding, natural language generation, and computer vision; and, (3) an innovative multimodal learning analytics framework that analyzes parallel streams of multimodal data derived from students’ conversations, gaze, facial expressions, gesture, and posture as they interact with each other, with teachers, and with embodied conversational agents. Woven throughout the Institute’s activities will be a strong focus on ethics, with an emphasis on creating AI-augmented learning that is deeply informed by considerations of fairness, accountability, transparency, trust, and privacy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(32)
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科研奖励(0)
会议论文
DOI: 10.48550/arxiv.2205.05638
发表时间: 2022-05
期刊: ArXiv
影响因子: --
作者: [Haokun Liu;Derek Tam;Mohammed Muqeeth;Jay Mohta;Tenghao Huang;Mohit Bansal;Colin Raffel]
通讯作者: Haokun Liu;Derek Tam;Mohammed Muqeeth;Jay Mohta;Tenghao Huang;Mohit Bansal;Colin Raffel
DOI: --
发表时间: 2023
期刊: In Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents (IVA 2023
影响因子: --
作者: [Hostetter, J., Conati, C., Yang, X., Abdelshiheed, M., Barnes, T., Chi, M.]
通讯作者: Chi, M.
DOI: 10.48550/arxiv.2209.10492
发表时间: 2022-09
期刊: ArXiv
影响因子: --
作者: [Swarnadeep Saha;Shiyue Zhang;Peter Hase;Mohit Bansal]
通讯作者: Swarnadeep Saha;Shiyue Zhang;Peter Hase;Mohit Bansal
DOI: 10.1109/iccv51070.2023.00264
发表时间: 2023-09
期刊: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
影响因子: --
作者: [Ziyang Wang;Yi-Lin Sung;Feng Cheng;Gedas Bertasius;Mohit Bansal]
通讯作者: Ziyang Wang;Yi-Lin Sung;Feng Cheng;Gedas Bertasius;Mohit Bansal
32
    ExplainIt: Improving Student Learning with Explanation-based Classroom Response Systems
    • 批准号:
      2111473
    • 项目类别:
      Standard Grant
    • 资助金额:
      $145.65万
    • 财政年份:
      2021
    • 负责人:
      James Lester
    • 依托单位:
    Collaborative Research: PrimaryAI: Integrating Artificial Intelligence into Upper Elementary Science with Immersive Problem-Based Learning
    • 批准号:
      1934153
    • 项目类别:
      Standard Grant
    • 资助金额:
      $98.56万
    • 财政年份:
      2019
    • 负责人:
      James Lester
    • 依托单位:
    EAGER: Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research
    • 批准号:
      1938778
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.0万
    • 财政年份:
      2019
    • 负责人:
      James Lester
    • 依托单位:
    Supporting Student Planning with Open Learner Models in Middle Grades Science
    • 批准号:
      1761178
    • 项目类别:
      Standard Grant
    • 资助金额:
      $149.92万
    • 财政年份:
      2018
    • 负责人:
      James Lester
    • 依托单位:
    海外基金