The ATS Initiative supports grantees pursuing breakthrough approaches to persistent educational challenges through the From Seedlings to Scale Grants Program, Transformative Research in the Education Sciences, and Education Research and Development Centers.
Explore the funded projects below to learn how teams are advancing personalized learning, tutoring, assessment, literacy, mathematics, STEM+C, and more.
From Seedlings to Scale (S2S) (ALN 84.305J)
The S2S grant program provides phased funding to help teams refine innovative ideas, develop and study fully functioning solutions, build evidence of impact, and prepare promising products, policies, or processes for sustainable scale.
SkillTree: Scalable Personalized Learning with LLM-Linked Custom Knowledge Graphs
PI: Jeremy Riel
CoPI: Ying Chen
Enhanced Decision Tool for Peer-Mediated Personalized Learning
PI: Courtney Thatcher
CoPIs: Jenna Richard, Anja Kurki
AI-Personalized Video Recommendations for Elementary Mathematics and Literacy Instruction (REVEAL)
PI: Claire Christensen
CoPI: Jenn Nakamura
A State Framework for Innovative Learning Models in Math
PI: Matthew Petersen
Supporting Math Understanding in Title I Schools: Creating a Text Answer-AI-Tutor (TAAiT)
PI: Cristina Heffernan
Key Personnel: Neil Heffernan, Minghyu Feng
HOL Advisor: Empowering Teachers and Leaders to Deliver Evidence-Based Literacy Instruction Through Tech-Enabled Predictive Insights and Instructional Tools
PI: Cynthia McGurl
CoPI: Robert Massicotte
Chat2Learn Suite
PI: Ariel Kalil
CoPI: Michelle Park Michelini
Key Personnel: Dana McCoy
Next Token Personalization™ for Seamless Personalized Education Experiences Delivered at Scale
PI: Jacob Zax
CoGrader 2.0: Accelerating Student Writing Proficiency Through AI-Assisted Personalized Feedback at Scale
PI: Gil Flores
CoPI: Jody Britten
Transformative Research in the Education Sciences (ALN 84.305T)
The Transformative Research in the Education Sciences grant program supports innovative, high-reward research that combines evidence-based learning science with advanced technology to create scalable solutions, accelerate learning, and achieve major breakthroughs on persistent educational challenges.
Active Learning at Scale: Transforming Teaching and Learning via Large-Scale Learning Science and Generative AI
PI: Danielle McNamara
Scenario-Based Assessment in the Age of Generative AI: Making Space in the Education Market for Alternative Assessment Paradigm
PI: John Sabatini
Talking Math: Improving Math Performance and Engagement Through AI-Enabled Conversational Tutoring
PI: Neil Heffernan III
MAGICAL-Math: Multimodal Artificial Generative Intelligence Championing Advanced Learning Sciences for Math Education
PI: Wanli Xing
AI-Supported Project Based Learning
PI: Eric Klopfer
Education Research and Development Centers (ALN 84.305C)
The AI-focused Education Research and Development Centers conduct coordinated research, development, and evaluation to advance responsible, evidence-based uses of generative AI in teaching and learning while providing national leadership for the field.
National Center on Generative AI for Uplifting STEM+C Education (GENIUS Center)
PI: Xiaoming Zhai
AmplifyGAIN: Generative AI for Transformative Learning
PI: Min Sun
Center for Early Literacy and Responsible AI (CELaRAI): Innovating Beginning Reading Instruction for Culturally and Linguistically Diverse Learners
PI: Xiaohui Christine Wang
The Using Generative AI for Reading R&D Center (U-GAIN Reading)
PI: Jeremy Roschelle