Theory-driven units of analysis for educational dialogue across multiple timescales¶
Research Method · All research methods
Evidence · no claims cited
Description¶
The Baker, Schwarz, and Ludvigsen Squib argues for deep theoretical understanding of discussion and its unit of analysis to inform methods for analyzing dialogue over different timescales, from episodes to societal-scale argumentative knowledge construction. The editors summarize: its aim is "to argue for the necessity for a deep, theoretical understanding of discussion and its unit of analysis." It proceeds in three parts: collective thinking enacted through dialogue, critical considerations of timescales, and how timescales are accounted for in units of analysis applied to platform data. General theories of dialogue, cognition, and collective activity guide chosen units of analysis and explain their deep meaning.
Accounts¶
- Theory-driven units of analysis for educational dialogue across multiple timescales: The Baker, Schwarz, and Ludvigsen Squib argues for deep theoretical understanding of discussion and its unit of analysis to inform methods for analyzing dialogue over different timescales, from episodes to societal-scale argumentative knowledge construction. The editors summarize: its aim is "to argue for the necessity for a deep, theoretical understanding of discussion and its unit of analysis." It proceeds in three parts: collective thinking enacted through dialogue, critical considerations of timescales, and how timescales are accounted for in units of analysis applied to platform data. General theories of dialogue, cognition, and collective activity guide chosen units of analysis and explain their deep meaning. (Carolyn Rosé (2021))
- Combine diverse datasets across multiple timescales, mixing automatic and human analyses, to make dialogue analytics meaningful: The editors close by challenging the field with the question raised by Baker et al.: "how can such diverse data sets, over multiple timescales, involving a combination of automatic and human analyses, be combined in a meaningful way". The principle urges researchers designing CSCL studies and analytics to integrate analyses of discussion data across timescales rather than treating single-scale studies as sufficient, and especially welcomes "dialogue" in between data and theories for the following year's submissions. (Carolyn Rosé (2021))
Claims¶
Related Research Methods¶
- Functional system incorporating tools as the unit of analysis for CSCL microanalysis
- Micro-ecological approach to cross-level CSCL analysis
- Three planes of learning in CSCL: individual, small-group, and community
Key Sources¶
- Carolyn Rosé, Sanna Järvelä. (2021). A theory-driven reflection on context-aware support for collaborative discussions in light of analytics, affordances, and platforms. International Journal of Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-021-09360-8
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
theory-driven-units-of-analysis-for-educational-dialogue-across-multiple-timescales |
title |
Theory-driven units of analysis for educational dialogue across multiple timescales |
description |
The Baker, Schwarz, and Ludvigsen Squib argues for deep theoretical understanding of discussion and its unit of analysis to inform methods for analyzing dialogue over different timescales, from episodes to societal-scale argumentative knowledge construction. |
status |
review |
generated |
by process:settle-candidates on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.