Investigating spoken classroom interactions in linguistically heterogeneous learning groups – An interdisciplinary approach to process video-based data in second language acquisition classrooms

• Interdisciplinary approach to compiling a spoken learner corpus. • Publishing guidelines for processing video-based classroom data. • Reporting innovative evaluation of the robustness of annotations and transcriptions. • Presenting a L2 spoken learner corpus with rich meta-data on teachers and learners. Speaking the local language is central for successful integration into society. The teacher's language in second language (L2) classrooms serves as a crucial tool in language learning. Heterogeneity of learners’ language proficiency levels challenges teachers to adapt their language and accompanied instructional behavior. We offer an approach to study language acquisition processes and how teachers adapt their instructional language. This article presents our language-independent guidelines for processing video-based data of classroom interactions and demonstrate their reliability in a German as Second Language (GSL) classroom. These guidelines enable transcriptions of spoken language in noisy environments and detailed annotations of non-verbal classroom behavior. We outline research avenues at the intersection of empirical education research and linguistics that become feasible through these resources focusing on studying (non-)verbal adaptation strategies of teachers for learners at different proficiency levels. Our work directly fosters the interdisciplinary study of teacher-learner interactions, teacher competencies, and language acquisition.

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Publication Details

Journal
Applied Corpus Linguistics
Published
2024-09-15
DOI
https://doi.org/10.1016/j.acorp.2024.100104
Citations
3
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
8.34
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article

Investigating spoken classroom interactions in linguistically heterogeneous learning groups – An interdisciplinary approach to process video-based data in second language acquisition classrooms

Inga ten Hagen, Zarah Weiß, Moritz Sahlender, Anastasia Knaus et al.
3 citations
Applied Corpus Linguistics
EFL/ESL Teaching and Learning
8.34
article

Investigating spoken classroom interactions in linguistically heterogeneous learning groups – An interdisciplinary approach to process video-based data in second language acquisition classrooms

Inga ten Hagen, Zarah Weiß, Moritz Sahlender, Anastasia Knaus, Stefanie Helbert
article en
3 citations

Abstract

• Interdisciplinary approach to compiling a spoken learner corpus. • Publishing guidelines for processing video-based classroom data. • Reporting innovative evaluation of the robustness of annotations and transcriptions. • Presenting a L2 spoken learner corpus with rich meta-data on teachers and learners. Speaking the local language is central for successful integration into society. The teacher's language in second language (L2) classrooms serves as a crucial tool in language learning. Heterogeneity of learners’ language proficiency levels challenges teachers to adapt their language and accompanied instructional behavior. We offer an approach to study language acquisition processes and how teachers adapt their instructional language. This article presents our language-independent guidelines for processing video-based data of classroom interactions and demonstrate their reliability in a German as Second Language (GSL) classroom. These guidelines enable transcriptions of spoken language in noisy environments and detailed annotations of non-verbal classroom behavior. We outline research avenues at the intersection of empirical education research and linguistics that become feasible through these resources focusing on studying (non-)verbal adaptation strategies of teachers for learners at different proficiency levels. Our work directly fosters the interdisciplinary study of teacher-learner interactions, teacher competencies, and language acquisition.

Applied Corpus LinguisticsVol. 4(3)
TU Dortmund University (DE), Bernstein Center for Computational Neuroscience Tübingen (DE), German Institute for Adult Education – Leibniz Centre for Lifelong Learning (DE), Mercy Research (US), University of Tübingen (DE)
Quality Education
Openalex Percentile: Top 3%
EFL/ESL Teaching and Learning
8.34
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