Improving Language Learning and Assessment with Data

Student learning data can and should be analyzed to develop and deploy new instructional technologies, such as personalized practice schedules, adaptive placement tests, and data-driven language assessments. These provide great opportunities for combining modern machine learning with computational linguistics and psychometrics to improve learning, testing, and student engagement. In this session, you will learn how Duolingo — a language education platform with more than 200 million students worldwide — accomplishes this through research, AB testing, and vast amounts of data.