Difference between revisions of "Walsh2016"
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|BibType=INCOLLECTION | |BibType=INCOLLECTION | ||
|Author(s)=Steve Walsh | |Author(s)=Steve Walsh | ||
− | |Title=Applying | + | |Title=Applying corpus linguistics and conversation analysis in the investigation of small group teaching in higher education |
− | |||
|Editor(s)=Halina Chodkiewicz; Piotr Steinbrich; Malgorzata Krzeminska-Adamek | |Editor(s)=Halina Chodkiewicz; Piotr Steinbrich; Malgorzata Krzeminska-Adamek | ||
− | |Tag(s)=EMCA; Methodology; | + | |Tag(s)=EMCA; Methodology; |
|Key=Walsh2016 | |Key=Walsh2016 | ||
|Year=2016 | |Year=2016 | ||
+ | |Language=English | ||
|Booktitle=Working with Text and Around Text in Foreign Language Environments | |Booktitle=Working with Text and Around Text in Foreign Language Environments | ||
− | |Pages= | + | |Pages=205–222 |
|URL=https://link.springer.com/chapter/10.1007/978-3-319-33272-7_13 | |URL=https://link.springer.com/chapter/10.1007/978-3-319-33272-7_13 | ||
|DOI=10.1007/978-3-319-33272-7_13 | |DOI=10.1007/978-3-319-33272-7_13 | ||
|Abstract=In this paper, I consider how a combined corpus linguistics and conversation analysis methodology can reveal new insights into the relationship between interaction patterns, language use, and learning. The context of the paper is higher education small group teaching sessions and data are drawn from a one million word corpus, the Limerick-Belfast Corpus of Academic Spoken English (LI-BEL CASE. In this study, the analysis is based on 500,000 words of the corpus). The methodology combines corpus linguistics (CL) and applied conversation analysis (CA), enabling quantitative findings to be elaborated by more close-up qualitative analysis of sequences of interaction. This CLCA approach offers a fuller, richer description of small group teaching talk than would be found using either CA or CL alone. I suggest that awareness among practitioners of these relationships would help facilitate interactions which are more conducive to learning and in which students feel more engaged and involved. | |Abstract=In this paper, I consider how a combined corpus linguistics and conversation analysis methodology can reveal new insights into the relationship between interaction patterns, language use, and learning. The context of the paper is higher education small group teaching sessions and data are drawn from a one million word corpus, the Limerick-Belfast Corpus of Academic Spoken English (LI-BEL CASE. In this study, the analysis is based on 500,000 words of the corpus). The methodology combines corpus linguistics (CL) and applied conversation analysis (CA), enabling quantitative findings to be elaborated by more close-up qualitative analysis of sequences of interaction. This CLCA approach offers a fuller, richer description of small group teaching talk than would be found using either CA or CL alone. I suggest that awareness among practitioners of these relationships would help facilitate interactions which are more conducive to learning and in which students feel more engaged and involved. | ||
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Revision as of 08:24, 21 December 2019
Walsh2016 | |
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BibType | INCOLLECTION |
Key | Walsh2016 |
Author(s) | Steve Walsh |
Title | Applying corpus linguistics and conversation analysis in the investigation of small group teaching in higher education |
Editor(s) | Halina Chodkiewicz, Piotr Steinbrich, Malgorzata Krzeminska-Adamek |
Tag(s) | EMCA, Methodology |
Publisher | |
Year | 2016 |
Language | English |
City | |
Month | |
Journal | |
Volume | |
Number | |
Pages | 205–222 |
URL | Link |
DOI | 10.1007/978-3-319-33272-7_13 |
ISBN | |
Organization | |
Institution | |
School | |
Type | |
Edition | |
Series | |
Howpublished | |
Book title | Working with Text and Around Text in Foreign Language Environments |
Chapter |
Abstract
In this paper, I consider how a combined corpus linguistics and conversation analysis methodology can reveal new insights into the relationship between interaction patterns, language use, and learning. The context of the paper is higher education small group teaching sessions and data are drawn from a one million word corpus, the Limerick-Belfast Corpus of Academic Spoken English (LI-BEL CASE. In this study, the analysis is based on 500,000 words of the corpus). The methodology combines corpus linguistics (CL) and applied conversation analysis (CA), enabling quantitative findings to be elaborated by more close-up qualitative analysis of sequences of interaction. This CLCA approach offers a fuller, richer description of small group teaching talk than would be found using either CA or CL alone. I suggest that awareness among practitioners of these relationships would help facilitate interactions which are more conducive to learning and in which students feel more engaged and involved.
Notes