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NSF AI Education for K 12 Awards

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Dave Touretzky edited this page Nov 8, 2021 · 8 revisions
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NSF AI Education for K12 Awards (FY18-FY21)

ITEST

  • 2049029 and 2048502 "Collaborative Research: AI4GA - Developing Artificial Intelligence Competencies, Career Awareness, and Interest in Georgia Middle School Teachers and Students" David Touretzky, Carnegie Mellon University, and Christina Gardner-McCune, University of Florida

  • 2048480 “Fostering Computer Science and AI Learning through Youth-Led Conversational App Development Experiences” Kristy Boyer & Maya Israel, University of Florida

  • 2049022 “Preparing High School Students for Careers in Machine Learning through Mentored Scientific Research” Mark Weckel & Preeti Gupta, AMNH; Irene Lee, MIT

  • 2048746 “Everyday AI for Youth: Investigating Middle School Teacher Education, Classroom Implementation, and the Associated Student Learning Outcomes of an Innovative AI Curriculum” Irene Lee, MIT; Helen Zhang, Boston University

  • 2022502 “EAGER: Developing AI Literacy Interventions to Teach Fundamental Concepts in AI”, Irene Lee, Cynthia Breazeal (MIT); Helen Zhang (Boston University)

  • 1949384 and 1949493 “Collaborative Research: Middle School Teacher and Student's Experiences with Artificial Intelligence via Computational Cameras”. Suren Jayasuriya, Arizona State University; Ramana Pidaparti, University of Georgia

  • 1949110 “Narrative Modeling with StoryQ: Integrating Mathematics, Language Arts, and Computing to Create Pathways to Artificial Intelligence Careers” Jie Chao (Concord Consortium), William Finzer (Concord Consortium), Carolyn Rose (CMU), Shiyan Jiang (NCSU)

  • 1846073 “Developing K-12 Education Guidelines for Artificial Intelligence” David S. Touretzky; Carnegie Mellon University

RETTL

  • 2119174 “Integrating Artificial Intelligence with Smart Engineering and English Language Arts in Upper Elementary Education” Jennifer Cross, Jivko Sinapov, Chris Rogers, and Steven Coxon; Tufts University

STEM+C

  • 1934151 “Integrating AI Ethics into Robotics Learning Experiences” Yeh, Tom; University of Colorado at Boulder

  • 1934153 and 1934128 “PrimaryAI: Integrating Artificial Intelligence into Upper Elementary Science with Immersive Problem-Based Learning”; Lester, James, North Carolina State University and Glazewwski, Krista, Indiana University

  • 1933961 and 1933915 “Integrating Physical Computing and Data Science in Movement Based Learning”; DesPortes, Kayla, New York University and Ben Shapiro, University of Colorado, Boulder

  • 1938778 “Collaborative Research: Building Capacity for K-12 Artificial Intelligence Education Research”; Wang, Ning; University of Southern California

  • 1842385 “Learning Mathematical Concepts and Computational Thinking through Explainable Artificial Intelligence in a Simulation-based Learning Environment”. Wang, Ning; University of Southern California

AISL

  • 2115382 “Developing Conversational Videos to Support Children's STEM Learning and Engagement”. Mark Warschauer, UC Irvine; Abby Jenkins, PBS Kids

  • 2116109 “AI Behind Virtual Humans: Communicating the Capabilities and Impact of Artificial Intelligence to the Public through an Interactive Virtual Human Exhibit”. Wang, Ning, University of Southern California; Eric Greenwald and Ari Krakowski, Lawrence Hall of Science, UC Berkeley

  • 1906895 “Innovative approaches to Informal Education in Artificial Intelligence” Soep, Elisabeth; Youth Radio

CS for All

  • 1923606 “Computing for the Social Good: A Research-Practice Partnership to Increase Equity among Students and Parents”; Denner, Jill; ETR Associates