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

Language Teaching with Wikimedia

Alannah Fitzgerald
http://www.flickr.com/photos/daveholmes/6718556763/

Overview
• Misconceptions of Wikipedia in EAP
• Demo of FLAX collections using Wikimedia
• Open channels for training and OER
collections building with Wikimedia resources

Misconceptions about Wikipedia in EAP

http://teachingeap.wordpress.com/2012/05/

Issues of lexical density

http://en.wikipedia.org/wiki/Main_Page

Lextutor Academic Word List analysis

http://www.lextutor.ca/vp/

From descriptive to discursive writing
in Wikipedia

http://en.wikipedia.org/wiki/Revolution#cite_note-0

FLAX – Flexible Language Acquisition
Flexible Language Acquisition

library

Learning Collocations collection in FLAX
FLAX team collections building:
Shaoqun Wu, Ian Witten, Margaret Franken, Xiaofeng Yu – Waikato University

http://tinyurl.com/73zcgac

Wikipedia mining tools

(1) extracting collocations from Wikipedia
articles for the "related collocations” section of
the Learning Collocations collection.
(2) using a Wikipedia server running at the
University of Waikato’s Computer Science
Department to retrieve definitions and related
topics for each query term.

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)

(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 the
keywords of that article. The keywords are ranked using their term frequency–
inverse document frequency (TF-IDF) scores.

(3) Retrieves the definition of the query term (normally, the first sentence of the
matched article (e.g. the ”economic bubble" article) from the Wikipedia server.

(4) Retrieve related articles for the ”economic bubble” from the Wikipedia server
and present as ‘related topics’.

Oxford Text Archive

https://www.facebook.com/pages/Oxford-Text-Archive/135824246448590

The BAWE text sub collections

http://tinyurl.com/cpwyefb

Wikify key words & phrases

http://tinyurl.com/cpwyefb

Open channels
Russell Stannard - Teacher Training Videos

http://www.teachertrainingvideos.com

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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Flexible Open Language Education for a Multicultural World

The Open Education Consortium

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Language Teaching with Wikimedia

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 Wikipedia articles for the "related collocations” section of the Learning Collocations collection. (2) using a Wikipedia server running at the University of Waikato’s Computer Science Department to retrieve definitions and related topics 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 the keywords 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 the matched article (e.g. the ”economic bubble" article) from the Wikipedia server.

15. (4) Retrieve related articles for the ”economic bubble” from the Wikipedia server and present as ‘related topics’.

16. Oxford Text Archive https://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 channels Russell 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/

Editor's Notes

August 16, 2010

Language Teaching with Wikimedia

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