TOETOE: English for Academic Purposes (EAP) with OER

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Presented at the Beyond Books Conference http://www.oucs.ox.ac.uk/ltg/events/beyond2012/ hosted by Oxford University Computing Services on June 12, 2012.

Transcript of TOETOE: English for Academic Purposes (EAP) with OER

TOETOE: English for Academic Purposes (EAP) with OER

Beyond Books: There and Back Again Alannah Fitzgeraldhttp://www.flickr.com/photos/opensourceway/6555467293/

Overview• Beyond research corpora with OER for EAP

– FLAX collections with the BNC, BAWE, Wikimedia, Google N-grams

– Higher Ed. podcast corpora (OER audio/video + transcripts) • Beyond the textbook and the dictionary

– More powerful = more examples of language in use across a range of linked authentic language contexts

– More user-friendly than the standard concordancer interface– More OER for learners and teachers

• Independent study resources• Pathways for building OER collections

• Beyond audience boundaries – linking EAP & ELT– TTV, BALEAP, IATEFL, OERu

Linked resources = super resources

http://www.flickr.com/photos/aka_kath/185679814/

FLAX – Flexible Language AcquisitionFlexible Language Acquisition

library

BAWE

Learning Collocations collection in FLAXFLAX 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’.

The BAWE text sub collections

http://tinyurl.com/cpwyefb

Wikify key words & phrases

http://tinyurl.com/cpwyefb

Creative commons podcast content

15What can you do with this?

http://openspires.oucs.ox.ac.uk/resources/index.html#posters

Linking open tools and open pods

16http://http://openspires.oucs.ox.ac.uk/crunch/

BALEAP

17Arguably, competencies with resources cut across the whole of the TEAP framework.

http://www.baleap.org.uk/baleap/parties-projects/eap-teacher-competencies/

Beyond audience boundariesRussell Stannard - Teacher Training Videos

http://www.teachertrainingvideos.com

OERu – open and distance education

http://wikieducator.org/OER_university/Planning/OERu_2012_Prototype

Widening audience participation

http://en.crtvu.edu.cn/

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/