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

TL;DR

This paper introduces a framework to categorize classroom interaction research along scale, duration, and modality, highlighting how AI expands this methodological space and influences research insights.

Contribution

It proposes a novel framework for mapping classroom interaction studies and discusses AI's role in broadening research approaches and tool development.

Findings

The framework clarifies how research focus varies with scale, duration, and modality.

AI expands the methodological space, enabling new research possibilities.

The framework guides research design and tool development in classroom interaction studies.

Abstract

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.