The multimodal organization of speaker selection in classroom interaction
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Taking a multimodal approach towards teachers' turn-allocation and management techniques in EFL contexts is under-researched.
“What seems to be missing, or under-researched, in the literature is taking a multimodal approach towards teachers”
From A Multisemiotic Investigation of Iranian EFL Teachers’ Turn-allocation Strategies in their Classroom Interactions (2022) · cites this paper as Lauzon & Berger, 2015
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Ghiasvand, F., & PhD Candidate of Applied Linguistics, A. T. U. (2022) · Language Related Research · doi:10.52547/lrr.13.3.17 · Cited by 6 · see citing works
- Authors
- Fasel Lauzon, V., & Berger, E.
- Affiliations
- University of Helsinki (FI)
- ORCID
- Berger, Evelyne
- Venue
- Linguistics and Education
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 31
- Pages
- 14-29
- ISSN
- 0898-5898 (ISSN-L)
- OpenAlex
- W409034613
- Cited by
- 86
- References
- 0
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 8 · 2023: 6 · 2022: 25 · 2021: 20 · 2020: 6 · 2019: 5 · 2018: 3 · 2017: 3
- FWCI
- 13.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Linguistics and Education (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Discourse Analysis in Language Studies
- Keywords
- turn allocation, classroom interaction, French as a second language, teacher-student relationship, turn transitions, sequence organization, multimodality, teacher control
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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