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Exploring teacher-student interaction in task and non-task sequences

  • Yan Zhu ORCID logo , Jonathan Newton ORCID logo , Yue Liu ORCID logo and Dingfang Shu ORCID logo EMAIL logo
Published/Copyright: January 10, 2025

Abstract

In TBLT research, there is a noticeable lack of attention to the use of tasks with whole classes. This study seeks to address this gap by investigating the discourse of whole-class task-based teacher-student interaction compared to other types of teacher-student interaction in EFL classrooms in a primary school in China. A total of 223 pedagogic sequences from 16 EFL lessons taught by Chinese teachers to Grade 1 to 5 primary school student were recorded, transcribed, and coded as tasks or non-tasks using the four defining features of tasks proposed by Ellis and Shintani (2014. Exploring language pedagogy through second language acquisition research. London: Routledge). The analysis revealed that 95 sequences were task-based, 44 were non-task-based (i.e. they contained none of the four task features) and a further 84 sequences were also non-task-based but contained some but not all the four task features. In terms of the discourse features of task versus non-tasks sequences, task sequences had a higher ratio of teacher talk to student talk, a higher frequency of IRF exchanges, a lower frequency of teacher-class interaction, a lower frequency of teacher-initiated exchanges, a higher frequency of FoM exchanges and a lower frequency of FoFs exchanges, and a higher frequency of both display and referential questions. Overall, the findings provide process-oriented evidence for the distinctiveness of task-based teacher-student interaction.


Corresponding author: Dingfang Shu, The Shanghai Center for Research in English Language Education, Shanghai International Studies University, 550 West Dalian Road, Hongkou District, Shanghai 200083, China, E-mail:

Award Identifier / Grant number: 23BYY149

Acknowledgments

We are grateful to all the participants for their support in data collection. We would also like to extend our gratitude to four research assistants: Bo Peng, Xinning Wang, Xiaolan Zhang, and Meiying Wu, for their assistance with data analysis.

  1. Research ethics: Informed consents were obtained from the school principal and the participants.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: National Social Science Fund of China.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

Appendix: Transcribing scheme

Code Description Example
TT Teacher talk Sit down, please.
AST All students talk Good morning, teacher.
SST Some students talk Yes, there is.
PST Paired students talk <SS talk in pairs freely.>
IST Individual students talk I can find animals in the park.
NV Non-verbal talk [The teacher mimics a penguin.]
VI Video input It’s sunny today.
AI Audio input We are having a picnic.
Silence No one is talking. (1.8)
< > Activities <Students work in pairs.>
*** Incomprehensible or inaudible words ***
[ ] Non-verbal interaction [The teacher sways to the music.]
{ } Music {Twinkle, twinkle,little star.}
Capital letters Emphasized parts There is a MOUSE in the classroom.
SN (1,2, …) Student’s name SN1, could you answer this question?

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Received: 2024-05-28
Accepted: 2024-12-07
Published Online: 2025-01-10
Published in Print: 2025-09-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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