Impact: Providing real-time feedback for math learning

Hundreds of elementary and middle school students across the US have learned more as a result of our work on real-time, teacher-AI collaborative systems. This research has also inspired the development of new hybrid human-AI tutoring systems, including Carnegie Learning’s LiveLab and the Personalized Learning Squared (PLUS) platform.

We developed the first technologies for real-time teacher-AI collaboration in K-12 classrooms, improving student learning.

This work led to...

  • Lumilo, AI-based smartglasses developed to help teachers better help their students in kindergarten to 12th grade (K-12) classrooms. Lumilo was used across dozens of K-12 classrooms in the US, helping improve learning among hundreds of students. This line of work has also developed multiple additional tools for teacher-AI collaboration and teacher-student-AI collaboration. Altogether, these have been used in more than 100 K-12 classrooms across the US.
  • LiveLab, developed by Carnegie Learning. Our research directly informed the design of the LiveLab product, now widely used by teachers in K-12 classrooms across the US.
  • An ongoing collaborative partnership between Carnegie Learning and CMU, to explore how the Lumilo smartglasses might be turned into a product.
  • This work has informed the development of dozens of new technologies that support real-time teacher-AI collaboration, across both industry and academia.
  • This work informed recommendations in the 2018 UNESCO Consortium for School Networking (CoSN) Report on “The future of work and learning.”
  • This work informed recommendations in the 2023 US Department of Education’s report on “Artificial intelligence and the future of teaching and learning.”

Supported by:  the National Science Foundation (NSF) & Institute of Education Sciences (IES)

Timing:  This line of research started in 2015 and is ongoing.

Related work:

Researchers:  Vincent Aleven, Conrad Borchers, Ken Holstein, Ken Koedinger, Bruce McLaren, Nikol Rummel, Danielle Thomas, Kexin Yang

Research Areas:  Learning Sciences and Educational Technologies, Human-AI Interaction

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