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Language Teaching with Wikimedia

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Presented at the EduWiki conference in Leicester on September 5th, 2012 http://uk.wikimedia.org/wiki/EduWiki_Conference_2012

Presented at the EduWiki conference in Leicester on September 5th, 2012 http://uk.wikimedia.org/wiki/EduWiki_Conference_2012

Published in: Education, Technology
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  • August 16, 2010
  • Transcript

    • 1. Language Teaching with Wikimedia Alannah Fitzgerald http://www.flickr.com/photos/daveholmes/6718556763/
    • 2. Overview• Misconceptions of Wikipedia in EAP• Demo of FLAX collections using Wikimedia• Open channels for training and OER collections building with Wikimedia resources
    • 3. Misconceptions about Wikipedia in EAP http://teachingeap.wordpress.com/2012/05/
    • 4. Issues of lexical density http://en.wikipedia.org/wiki/Main_Page
    • 5. Lextutor Academic Word List analysis http://www.lextutor.ca/vp/
    • 6. From descriptive to discursive writing in Wikipedia http://en.wikipedia.org/wiki/Revolution#cite_note-0
    • 7. Discursive writing in Wikipedia
    • 8. FLAX – Flexible Language Acquisition Flexible Language Acquisition library
    • 9. BNC/BAWE
    • 10. Learning Collocations collection in FLAX FLAX team collections building:Shaoqun Wu, Ian Witten, Margaret Franken, Xiaofeng Yu – Waikato University http://tinyurl.com/73zcgac
    • 11. Wikipedia mining tools(1) extracting collocations from Wikipediaarticles for the "related collocations” section ofthe Learning Collocations collection.(2) using a Wikipedia server running at theUniversity of Waikato’s Computer ScienceDepartment to retrieve definitions and relatedtopics for each query term.
    • 12. When a user issues a query, e.g. “economic bubble”, FLAX is doing the following: (1) Grouping collocation types e.g. noun + noun from the selected corpus (BNC, BAWE, Wikipedia)
    • 13. (2) If the query term, e.g. “economic bubble" matches an article in Wikipedia,collocations of that article are presented as related collocations, grouped by thekeywords of that article. The keywords are ranked using their term frequency–inverse document frequency (TF-IDF) scores.
    • 14. (3) Retrieves the definition of the query term (normally, the first sentence of thematched article (e.g. the ”economic bubble" article) from the Wikipedia server.
    • 15. (4) Retrieve related articles for the ”economic bubble” from the Wikipedia serverand present as ‘related topics’.
    • 16. Oxford Text Archivehttps://www.facebook.com/pages/Oxford-Text-Archive/135824246448590
    • 17. The BAWE text sub collections http://tinyurl.com/cpwyefb
    • 18. Wikify key words & phrases http://tinyurl.com/cpwyefb
    • 19. Open channelsRussell Stannard - Teacher Training Videos http://www.teachertrainingvideos.com
    • 20. Thank you Email: fitzgerald@education.concordia.ca;Blog: Technology for Open English – Toying with Open E-resources www.alannahfitzgerald.org Twitter: @AlannahFitz Slideshare:http://www.slideshare.net/AlannahOpenEd/

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