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SUMMARY:Duolingo: Improving Language Learning and Assessment with A.I. - B
 urr Settles\, Duolingo
DTSTART:20190619T140000Z
DTEND:20190619T150000Z
UID:TALK125962@talks.cam.ac.uk
CONTACT:Andrew Caines
DESCRIPTION:Consider this paradox: If education is the key to getting out 
 of poverty and achieving greater social equality\, why is high-quality edu
 cation so often expensive and inaccessible to those who need it most? Arti
 ficial intelligence will never replace great teachers\, but until everyone
  in the world has equal access to great teachers\, AI and machine learning
  provide a tremendous opportunity to scale quality education to everyone w
 ho needs it.\n\nIn this talk\, I will describe Duolingo’s mission to com
 bine AI-driven learning technology with a unique business model\, enabling
  us to provide language instruction for free and bring us closer to a more
  engaged\, empathetic\, and educated world. Duolingo has more than 300 mil
 lion users from virtually every country in the world. Their lesson data ca
 n be harnessed to develop novel technologies\, such as personalized practi
 ce sessions and data-driven language assessments like the Duolingo English
  Test. These efforts combine learner data with machine learning\, computat
 ional linguistics\, and psychometrics to improve educational and motivatio
 nal outcomes\, crossing socioeconomic barriers from America to Zimbabwe.\n
 \n_Burr Settles is Research Director at Duolingo\, the world’s largest l
 anguage-learning platform. He is also the author of Active Learning\, a te
 xt on adaptive machine learning algorithms. His research has been publishe
 d in major AI venues such as Cognitive Science\, NeurIPS\, ICML\, and AAAI
 \, and has been covered by The New York Times\, Forbes\, WIRED\, and BBC. 
 Previously\, Burr was a postdoc at Carnegie Mellon and earned a PhD from U
 W-Madison._
LOCATION:FW26\, Computer Laboratory
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