The challenge inspires teams to build solutions to help 250 million children in developing countries.
Finalists for the XPRIZE Global Learning Challenge have been announced, including RoboTutor, a software program submitted by a team led by Jack Mostow of Carnegie Mellon University. RoboTutor was designed to use artificial intelligence to adapt to individual students, which will have a particularly powerful impact in parts of the world facing a shortage of qualified teachers.
RoboTutor features a fluency game developed by the Mathematics Fluency Data Collaborative (MFDC), a project led by Carnegie Learning in partnership with Carnegie Mellon University, New York University, the University of North Carolina at Charlotte, Pellisippi State Community College and Playpower Labs.
Dr. Steve Ritter, our Co-Founder and Chief Scientist, is proud of how the fluency games are being used. "When we designed these games, we knew that if we made them open source and flexible, they'd find other uses we couldn't anticipate. We're thrilled to see them helping kids in developing countries to build basic math skills."
Carnegie Learning is helping students learn why, not just what. Born from more than 30 years of learning science research at Carnegie Mellon University, the company has become a recognized leader in the ed tech space, using artificial intelligence, formative assessment, and adaptive learning to deliver groundbreaking solutions to education’s toughest challenges. With the highest quality offerings for K-12 math, ELA, literacy, world languages, professional learning and more, Carnegie Learning is changing the way we think about education, fostering learning that lasts.
Explore more related to this authorWe're thrilled to see these fluency games helping kids in developing countries to build basic math skills.
Dr. Steven Ritter, Co-Founder and Chief Scientist, Carnegie Learning
