TOETOE: English for Academic Purposes (EAP) with OER


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Presented at the Beyond Books Conference hosted by Oxford University Computing Services on June 12, 2012.

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  • 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 -
  • August 16, 2010
  • TOETOE: English for Academic Purposes (EAP) with OER

    1. 1. TOETOE: English for Academic Purposes (EAP) with OER Books: There and Back Again Alannah Fitzgerald
    2. 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. 3. Linked resources = super resources
    4. 4. FLAX – Flexible Language Acquisition Flexible Language Acquisition library
    5. 5. BAWE
    6. 6. Beyond the textbook and the dictionary
    7. 7. Learning Collocations collection in FLAX FLAX team collections building:Shaoqun Wu, Ian Witten, Margaret Franken, Xiaofeng Yu – Waikato University
    8. 8. 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.
    9. 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. 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 thekeywords of that article. The keywords are ranked using their term frequency–inverse document frequency (TF-IDF) scores.
    11. 11. (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.
    12. 12. (4) Retrieve related articles for the ”economic bubble” from the Wikipedia serverand present as ‘related topics’.
    13. 13. The BAWE text sub collections
    14. 14. Wikify key words & phrases
    15. 15. Creative commons podcast contentWhat can you do with this? 15
    16. 16. Linking open tools and open pods http:// 16
    17. 17. BALEAPArguably, competencies with resources cut across the whole of the TEAP framework. 17
    18. 18. Beyond audience boundariesRussell Stannard - Teacher Training Videos
    19. 19. OERu – open and distance education
    20. 20. Widening audience participation
    21. 21. Thank you Email:;Blog: Technology for Open English – Toying with Open E-resources Twitter: @AlannahFitz Slideshare: