Aritra Ghoshīeyond informativeness metrics in computerized adaptive testingĬomputer adaptive tests create personalized exams that are considerably shorter than traditional standardized tests, by selecting the next most informative question for each test taker based on their previous responses. Using machine learning technology and rater’s language guidelines he hopes to better understand the impact of non-verbal behaviors on raters as they assess L2 ability. L2 refers to a person’s second language, or what we at Duolingo call “learning language.” John Dylan BurtonĮxploring the influence of nonverbal behavior on language proficiency scoresĭylan’s research investigates how non-verbal behaviors, in particular eye gaze and facial expressions, affect how linguistic performance is evaluated in online language proficiency exams. Read on to learn more about our 2021 winners!Ī quick note: Much of the research here references L2 learning and assessments. We’re thrilled to announce the winners of our second annual Doctoral Awards Program! (See last year’s winners here.)Įach of these fourteen PhD students is working to promote better language teaching, learning, and assessment through innovative research:
The Duolingo English Test has revolutionized the world of high stakes assessment by combining research and technology to make a fair, reliable test that you can take securly, on-demand, anywhere in the world, for only $49 USD.īecause innovation in language assessment drives our work, we are committed to supporting the next generation of researchers in this field.
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