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projects

• active projects

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  INVITE Institute - Inclusive Intelligent Technologies for Education

  The INVITE Institute (INclusiVe Intelligent Technologies for Education) seeks to fundamentally reframe how AI-based educational technologies interact with learners.
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  IntegrateAI

  Integrating AI Learning into Middle School Science through Natural Language Processing (Funding: National Science Foundation NSF 19-583, DRL-2147810)
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  AI Powered Athletics

  Supporting student-athlete wellness and performance using data and AI
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  Collaborative Sport

  Real time analytics for collaboration in endurance sports
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  Project DIALOGS

  Fostering Computer Science and AI Learning through Youth-Led Conversational App Development Experiences (Funding: National Science Foundation, DRL-2048480)

• completed projects

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  EarSketch CAI

  Engaging high school students in computer science with co-creative learning companions. (Funding: National Science Foundation, DRL-1814083)
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  FLECKS

  Fostering collaborative computer science learning with intelligent virtual companions for upper elementary students. (Funding: National Science Foundation, DRL-1721160)
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  CUE

  Collaborative Research: Effective Peer Teaching Across Computing Pathways (National Science Foundation, DUE-1935111)
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  CS-CLIMATE

  Fostering collaborative dialogue for rigorous learning and diverse student retention in computer science. (Funding: National Science Foundation, CNS-1453520, CNS-1622438)
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  PRIME

  Engaging STEM undergraduate students in computer science with intelligent tutoring systems. (Funding: National Science Foundation, DUE-1626235, DUE-1625908)
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  The Dialogue HMM Project

  Building computational models of the structure of human dialogue.
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  ENGAGE

  Immersive game-based learning curricular strategy for infusing computational thinking and computational fluency into middle school science. (Funding: CNS-1138497, DRL-1640141)
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  AIM

  Adapting to affect in multimodal dialogue-rich interaction with middle school students. (Funding: National Science Foundation, IIS-1409639)
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  Research Triangle Peer Teaching Fellows

  Scalable evidence-based peer teaching for improving CS capacity and diversity. (Funding: Google Research 3x3 Capacity Award)
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  JavaTutor

  Natural language dialogue system for introductory computer programming. (Funding: National Science Foundation, DRL-10007962)
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  K-5 CS Principles

  Developing an upper elementary Computer Science Principles course. (Funding: Wake County Public School System)