Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI

Fuente: arXiv
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Hauptverfasser: Demszky, Dorottya, Bouton, Edith, Twiner, Alison, Hennessy, Sara, Correnti, Richard
Format: Preprint
Veröffentlicht: 2026
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author Demszky, Dorottya
Bouton, Edith
Twiner, Alison
Hennessy, Sara
Correnti, Richard
author_facet Demszky, Dorottya
Bouton, Edith
Twiner, Alison
Hennessy, Sara
Correnti, Richard
contents Research on classroom interaction has long been divided between large-scale observation and in-depth ethnographic work. We propose a framework mapping this methodological space along three dimensions--scale, duration, and modality--where a study's position shapes what it reveals and obscures. We illustrate it through contrasting studies of dialogic teaching--Howe et al. (2019) and Snell and Lefstein (2018)--and an interview with the lead researchers, organized around three questions: what can be operationalized, what mechanisms become visible, and what translates to practice. We then examine how AI is expanding this space and how the framework can guide research and tool design.
format Preprint
id arxiv_https___arxiv_org_abs_2604_28098
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI
Demszky, Dorottya
Bouton, Edith
Twiner, Alison
Hennessy, Sara
Correnti, Richard
Artificial Intelligence
Computation and Language
Computers and Society
Research on classroom interaction has long been divided between large-scale observation and in-depth ethnographic work. We propose a framework mapping this methodological space along three dimensions--scale, duration, and modality--where a study's position shapes what it reveals and obscures. We illustrate it through contrasting studies of dialogic teaching--Howe et al. (2019) and Snell and Lefstein (2018)--and an interview with the lead researchers, organized around three questions: what can be operationalized, what mechanisms become visible, and what translates to practice. We then examine how AI is expanding this space and how the framework can guide research and tool design.
title Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI
topic Artificial Intelligence
Computation and Language
Computers and Society
url https://arxiv.org/abs/2604.28098