Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework

TL;DR

This paper introduces the AIC framework, combining network analysis and NLP to analyze idea creation in collaborative discourse, capturing attention, interaction, and creation dynamics in educational settings.

Contribution

It presents a novel framework integrating socio-semantic networks and NLP for analyzing collaborative idea creation, with a case study demonstrating its practical application.

Findings

Framework effectively captures collaborative discourse dynamics.

Case study illustrates applicability in classroom settings.

Potential for broader educational and collaborative contexts.

Abstract

In Computer-Supported Collaborative Learning, ideas generated through collaborative discourse are informative indicators of students' learning and collaboration. Idea creation is a product of emergent and interactive socio-cognitive endeavors. Therefore, analyzing ideas requires capturing contextual information in addition to the ideas themselves. In this paper, we propose the Joint Attention-Interaction-Creation (AIC) framework, which captures important dynamics in collaborative discourse, from attention and interaction to creation. The framework was developed from the networked lens, informed by natural language processing techniques, and inspired by socio-semantic network analysis. A case study was included to exemplify the framework's application in classrooms and to illustrate its potential in broader contexts.