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NSF National AI Institute for

Inclusive Intelligent Technologies for Education

Foundational AI Research

We leverage machine learning and natural language
processing to produce more robust approaches to
modeling human learning.

Classroom Integration

Our research is use-inspired and collaborative
with teachers and K-12 learners to deploy AI-
based learning technologies into schools,
particularly with participants who have
historically been marginalized in STEM
education.

Community Development

INVITE partners with K-12 educators, researchers,
administrators, and policymakers to effectively
facilitate AI's application and positioning in
educational settings.

We study and support learning in
all the places it happens, including
informal education spaces like
museums, makerspaces and
libraries.

Diverse Contexts

We actively create the next generation of AI-enabled "Education
for All" systems by proactively developing a diverse future
workforce of scientists and engineers.

Future Workforce

The INVITE Institute (INclusiVe Intelligent Technologies for Education) seeks to fundamentally reframe how AI-based educational technologies interact with learners. We develop AI techniques to track and promote skills that underlie successful learning and contribute to academic success: persistence, academic resilience, and collaboration.

► Read more about our mission, goals and research
► Recommended Resources for Broadening Participation in AI Education

In The News

INVITE researchers will pursue (1) foundational AI research in machine learning and natural language processing to produce more robust approaches to modeling human learning, (2) use-inspired research with teachers and K-12 learners to integrate AI-based learning technologies into classrooms, particularly with those who have historically been marginalized in STEM education, and (3) community development with K-12 educators, researchers, administrators, and policymakers focused on AI’s application and deployment in educational settings.

We study and support learning in all the places it happens, including informal education spaces like museums, makerspaces and libraries, with the aim to create the next generation of AI-enabled “Education for All” systems and a diverse future workforce of scientists and engineers.