| Submission declined on 24 July 2024 by Cabrils (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
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Comment: Well done on creating the draft, and it may potentially meet the relevant requirements (including WP:GNG, WP:ANYBIO) but presently it is not clear that it does. As you may know, Wikipedia's basic requirement for entry is that the subject is notable. Essentially subjects are presumed notable if they have received significant coverage in multiple published secondary sources that are reliable, intellectually independent of each other, and independent of the subject. To properly create such a draft page, please see the articles ‘Your First Article’, ‘Referencing for Beginners’ and ‘Easier Referencing for Beginners’. Please note that many of the references are not from sources that are considered reliable for establishing notability and should be removed (including blogs, company websites, Twitter, YouTube). Also, if you have any connection to the subject, including being paid, you have a conflict of interest that you must declare on your Talk page (to see instructions on how to do this please click the link). Please familiarise yourself with these pages before amending the draft. If you feel you can meet these requirements, then please make the necessary amendments before resubmitting the page. It would help our volunteer reviewers by identifying, on the draft's talk page, the WP:THREE best sources that establish notability of the subject. It would also be helpful if you could please identify with specificity, exactly which criteria you believe the page meets (eg "I think the page now meets WP:ANYBIO criteria #3, because XXXXX"). Once you have implemented these suggestions, you may also wish to leave a note for me on my talk page and I would be happy to reassess. Cabrils (talk) 22:40, 24 July 2024 (UTC)
Burr Settles is an American computer scientist and musician. He is known for his early work in active learning, a subfield of machine learning, and authored the first textbook on the subject.[1]. After a postdoc at Carnegie Mellon University as part of the Never-Ending Language Learning project[2], he joined Duolingo as an early scientist and developer. During his time at Duolingo, he contributed to both machine learning and cognitive science research by developing several personalized adaptive learning systems[3][4][5], notably half-life regression[6] and Birdbrain[7][8]. He also created the Duolingo English Test[9] out of a hackathon project[10], and eventually established and led several research groups within the company[11]. He additionally founded FAWM, an annual online songwriting challenge, as a side-project during graduate school[12]
External links
editReferences
edit- ^ Settles, Burr (2012). Active Learning. Margan & Claypool. ISBN 978-3-031-00432-2.
- ^ Evans, Claire (October 8, 2010). "A computer learns the hard way: By reading the Internet". Gizmodo. Archived from the original on April 20, 2017.
- ^ Vanderbilt, Tom (2017). "How Duolingo uses dirty gaming tricks to get you addicted to French". WIRED.
- ^ Sawers, Paul (2019). "How Duolingo is using AI to humanize virtual language lessons". VentureBeat.
- ^ Marr, Bernard (2020). "The Amazing Ways Duolingo Is Using Artificial Intelligence To Deliver Free Language Learning". Forbes.
- ^ Settles, Burr; Meeder, Brendan (2016). "A Trainable Spaced Repetition Model for Language Learning" (PDF). Proceedings of the Association of Computational Linguistics (ACL).
- ^ "The AI Behind Duolingo". YouTube.
- ^ Bicknell, Klinton; Brust, Claire; Settles, Burr (2023). "How Duolingo's AI Learns what you Need to Learn". IEEE Spectrum. 60 (3).
- ^ Settles, Burr; LaFlair, Geoffrey T.; Hagiwara, Masato (2020). "Machine learning–driven language assessment". Transactions of the Association for Computational Linguistics. 8: 247–263.
- ^ Wodzak, Sophie. "Duolingo's most popular course turned high-stakes test". Duolingo Blog.
- ^ "LTI Colloquium: Improving Language Learning and Assessment with A.I." YouTube.
- ^ "PODCAST: This Is Why Computer Science Rocks". Forbes.