Difference between revisions of "Data-Driven Language Learning Using Corpora and Concordancing"
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So, instead of going over a single page of textbook examples - or struggling to come up with a few yourself - you can find as many real examples as you need to teach a lesson on the difference between "fun" and "funny" or the use of "is feeling" vs. "feels". | So, instead of going over a single page of textbook examples - or struggling to come up with a few yourself - you can find as many real examples as you need to teach a lesson on the difference between "fun" and "funny" or the use of "is feeling" vs. "feels". | ||
| − | In this set of units, you'll be guided through the process of creating a lesson using this powerful | + | In this set of units, you'll be guided through the process of creating a lesson using this powerful resource. |
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Revision as of 13:21, 9 December 2009
Introduction
As a teacher of English to speakers of other languages, do you ever wish you could interview thousands - or even millions - of native speakers in a few minutes to find out whether "on line" or "in line" is the more common phrase?
A corpus can help with this sort of thing (and many more sorts of things).
With a teacher's guidance, a student can be exposed to multiple authentic instances of the same bit of language.
So, instead of going over a single page of textbook examples - or struggling to come up with a few yourself - you can find as many real examples as you need to teach a lesson on the difference between "fun" and "funny" or the use of "is feeling" vs. "feels".
In this set of units, you'll be guided through the process of creating a lesson using this powerful resource.
Ready? Let's begin, start, commence, go to Unit 1: Corpora.
You can also take a peek at the Data-Driven Language Learning Glossary to familiarize yourself with the important terms used in this course. It is also linked from each Unit's main page.
Objectives for this course
Upon completion of this course, you should be able to
- create lessons using the principles of data-driven language learning
- be familiar with the ideas of language corpora and concordancing software
- have a working familiarity with at least one corpus of the English language
- be able to extract useful output from a concordancer
