We Should All Be Lurkers w/ Nia Dowell


Manage episode 306412132 series 3003161
Stworzone przez Raven DeRamus Byers, Nathan Levin & Sam Squillace, Raven DeRamus Byers, Nathan Levin, and Sam Squillace, odkryte przez Player FM i naszą społeczność - prawa autorskie są własnością wydawcy, a nie Player FM, a dzwięk jest przesyłany bezpośrednio z ich serwerów. Naciśnij przycisk Subskrybuj, aby śledzić aktualizacje Player FM, lub wklej adres URL kanału do innych aplikacji podcastowych.

Do you ever find yourself being more of a listener - a lurker, if you will - in a conversation than a participator? Maybe you thought you weren’t contributing much, and if so, you might be surprised by the fascinating research of Dr. Nia Dowell. By using a special computer analysis technique called Natural Language Processing (NLP), Nia and her colleagues have been able to define and analyze the contributions of all kinds of different team participants, and her results have all kinds of important implications for the classroom and group-work at every level of education and even in society more broadly.

You can follow Nia on twitter @niadowell. For more information you can check out our website at www.learningmachinepodcast.com.

Support the show (https://www.patreon.com/LearningMachine)

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