Cohesion-graph model for automated collaboration assessment¶
Research Method · All research methods
Evidence · 2 claims (2 for) · 2 studies (1 review, 1 design),q1· 0 of 2 report an effect size · 2 claims rest on one study
Description¶
The article's first proposed model represents collaboration through "a cohesion graph" over the conversation. It can be perceived as "a longitudinal analysis of the ongoing conversation", accounting for collaboration from a social knowledge-building perspective. The model is one of the two approaches implemented and validated in ReaderBench for automated collaboration assessment in CSCL chats.
Accounts¶
- Cohesion-graph model of collaboration as a longitudinal, social knowledge-building analysis: The article's first proposed model represents collaboration through "a cohesion graph" over the conversation. It can be perceived as "a longitudinal analysis of the ongoing conversation", accounting for collaboration from a social knowledge-building perspective. The model is one of the two approaches implemented and validated in ReaderBench for automated collaboration assessment in CSCL chats. (Mihai Dascalu et al. (2015))
Claims¶
- Two computational models were proposed and validated for assessing collaboration in CSCL conversations [+W]
- Automated methods capturing thematic cohesion significantly enrich the analysis of knowledge building over time in student discussion [+W]
Related Research Methods¶
Key Sources¶
- Mihai Dascalu, Stefan Trausan-Matu, Danielle S. Mcnamara, Philippe Dessus. (2015). ReaderBench – Automated Evaluation of Collaboration based on Cohesion and Dialogism. International Journal of Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-015-9226-y
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
cohesion-graph-model-for-automated-collaboration-assessment |
title |
Cohesion-graph model for automated collaboration assessment |
description |
The article's first proposed model represents collaboration through "a cohesion graph" over the conversation. |
status |
review |
generated |
by process:settle-candidates on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
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