Lam2026
| Lam2026 | |
|---|---|
| BibType | INCOLLECTION |
| Key | Lam2026 |
| Author(s) | Daniel M. K. Lam |
| Title | CA and language testing and assessment |
| Editor(s) | Matthew Burdelski, Tim Greer |
| Tag(s) | EMCA, language testing, language assessment |
| Publisher | Routledge |
| Year | 2026 |
| Language | English |
| City | London |
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| Pages | 358–372 |
| URL | Link |
| DOI | 10.4324/9781032720852-25 |
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| Howpublished | |
| Book title | The Routledge Handbook of Conversation Analysis |
| Chapter | |
Abstract
Despite fundamental differences in epistemology and research traditions, conversation analysis (CA) has made significant contributions to research and practice in the field of Language Testing and Assessment, particularly through the development and validation of speaking tests. This chapter undertakes an overview of the central questions regarding assessing speaking that CA has played a key role in addressing—from defining the ability to be assessed and validating test tasks and conditions to unpacking features of higher and lower score levels. It then provides an account of the challenges in contributing CA findings and insights to the testing community and lays out important considerations as well as opportune areas for CA researchers wishing to translate CA findings into applicable changes in language testing practice. The chapter concludes by outlining three future directions where, with an open mind toward crossing disciplinary and research-practice boundaries, CA researchers could continue to meaningfully contribute to the field of language testing and assessment.
Notes
