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.

翻译：在计算机支持的协作学习中，通过协作话语产生的思想是学生学习与协作的重要指标。思想的生成是涌现性、交互性社会认知努力的产物。因此，分析思想时需要同时捕捉其语境信息与思想本身。本文提出联合注意-互动-创造（AIC）框架，该框架能够捕捉协作话语中从注意、互动到创造的关键动态过程。该框架基于网络视角构建，融合自然语言处理技术，并受到社会语义网络分析的启发。我们通过案例研究展示了该框架在课堂中的应用，并阐述了其在更广泛场景中的潜力。