For those who went to this wonderful symposium last weekend
The references I have in my poster can be found here.
I want to thank UEC, and Professor Shi Jie for holding this event, and I look forward to more in the future.
Greetings fellow teachers, researchers and everyone on the Internet!
I am presenting a poster about my work with in-service Japanese teachers of English for junior and senior high schools at The International Symposium on Innovative Teaching and Research in ESP at the University of Electro Communications, Tokyo, on February 22, 2014. This time the focus will be on a writing workshop at our institution that we offer online using Moodle.
What makes this moodle writing course unique is the fact that we provide three types of feedback:direct, audio and data-driven.
The focus in particular will be on the data-driven part of the workshop and how the participants feel about encountering this type of feedback.
This poster is also a chance for me to engage with other corpus and data-driven learning specialists in the field and get some ideas on how to approach this course with a research agenda, especially one focused on obtaining quantitative, as well as qualitative data.
It is not that I am biased toward qualitative research, but most CALL and data-driven, corpus research has been primarily this way for a long time now. (Chambers 2007, Boulton 2008) and so the demand is high for this type of approach.
The symposium will also host a variety of speakers, Stefan Gries (UCSB, USA),
Winnie Cheng (Hong Kong Polytechnic University, China)Laurence Anthony (Waseda University, Japan), Theron Muller (Toyama University, Japan). Just to meet and talk with anyof these specialists of the field would be a very speciai opportunity indeed.
I also want to thank Shi Jie (Universityof Electro-Communications, Japan) for setting up this symposium. Much appreciation and thanks in advance for her hard work.
If you plan to be at the symposium, please feel free to find my poster. According to the schedule the poster session goes from 2-3:30, so have a chat with me if you are around.
See you there,
Oh p.s.♥ Happy Valentines Day! ♥
Boulton, A. (2008). Evaluating corpus use in language learning: State of play and future directions. Paper presented at the Amerian Accociation of Corpus Linguisitcs, Brighham Young University.
Chambers, A. (2007). Popularising corpus consultation by language learners and teachers. In E. Hidalgo Tenorio, L. Rodríguez-Navarro, J. Santana (Eds.). Corpora in the Foreign Language Classroom: Selected papers from the Sixth International Conference on Teaching and Language Corpora (TaLC 6). (pp. 3-16). Kenilworth: Rodopi.
Interesting post here about the Google Ngram viewer and its limitations. One possible limitation about this viewer is if the amount of literature for each time period included are normalized, in other words are all the texts in Google Books represented in equal amount, or would it be possible that there are more texts from the 20th century and after compared to before? Since the data for all this comes from Google books itself, is it just a raw reading of the data, or are the years normalized? I have only casually looked into this tool, so I don’t know if this is true or not. If anybody knows the Google NGram viewer well or uses it on a regular basis, feel free to comment.
When Google?s Ngram Viewer was the topic of a post on Science-Based Medice, I knew it was becoming mainstream. No longer happy to only be toyed with by linguists killing time, the Ngram Viewer had entranced people from other walks of life. And I can understand why. Google?s Ngram Viewer is an impressive service that allows you to quickly and easily search for the frequency of words and phrases in millions of books. But I want to warn you about Google?s Ngram Viewer. As a corpus linguist, I think it?s important to explain just what Ngram Viewer is, what it can be used to do, how I feel about it, and the praise it has been receiving since its inception. I?ll start out simple: despite all its power and what it seems to be capable of, looks can be deceiving.
Jann Bellamy wrote a post
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The power of web based corpus research has become even more accessable thanks to Google Ngrams. Its funny how Zimmer writes about how this tool can suck time: meaning that anyone using it may spend hours trying different combinations and comparisons. Good!
“Bigger, Better Google Ngrams: Brace Yourself for the Power of GrammarThe AtlanticBack in December 2010, Google unveiled an online tool for analyzing the history of language and culture as reflected in the gargantuan corpus of historical texts that…
See on www.theatlantic.com