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.
TOETOE: English for Academic Purposes (EAP) with OER
1. TOETOE: English for Academic Purposes
(EAP) with OER
http://www.flickr.com/photos/opensourceway/6555467293/
Beyond Books: There and Back Again Alannah Fitzgerald
2. 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
3. Linked resources = super resources
http://www.flickr.com/photos/aka_kath/185679814/
4. FLAX – Flexible Language Acquisition
Flexible Language Acquisition
library
6. Beyond the textbook and the dictionary
http://www.flickr.com/photos/rooners/5252360381/
7. Learning Collocations collection in FLAX
FLAX team collections building:
Shaoqun Wu, Ian Witten, Margaret Franken, Xiaofeng Yu – Waikato University
http://tinyurl.com/73zcgac
8. 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.
9. 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)
10. (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.
11. (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.
12. (4) Retrieve related articles for the ”economic bubble” from the Wikipedia server
and present as ‘related topics’.
13. The BAWE text sub collections
http://tinyurl.com/cpwyefb
15. Creative commons podcast content
What can you do with this?
http://openspires.oucs.ox.ac.uk/resources/index.html#posters
15
16. Linking open tools and open pods
http://http://openspires.oucs.ox.ac.uk/crunch/ 16
17. BALEAP
Arguably, competencies with resources cut across the whole of the TEAP framework.
http://www.baleap.org.uk/baleap/parties-projects/eap-teacher-competencies/ 17
21. 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
Well-resourced – ou – ebooks, lectures and more – not able to identify individuals as made by teams Podcasts – oxford – 40% cc – highlighting stars China – Nottingham – campus at Ningbo instead of having to use youtube which is blocked uNow Representing the ethos of the institutions The best marketing is great learning material – Martin Bean
Ylva –OER mash-up for language learning Do we want to say something about discipline-spec discourse types in uni lectures/seminars? Turn taking in uni seminars – uni of Birmingham – looking at different knowledge domains – something I saw at CLC in B ’ ham in July E.g. medical seminars – long turn from sts presenting case studies with input from tutor and other sts at the end. Hard sciences have a lot more stop and check the facts built into exchanges btwn sts and tutors -