Towards Actionable Collaborative Discourse Analysis: Bridging Advanced Computational Analysis With Practical Implementation

Since the inception of learning analytics, the CSCL community has been applying a range of methods to examine collaborative discourse, such as natural language processing and networked approaches. Despite significant advancements in methods, a critical gap persists in translating these data-driven insights into actionable strategies to inform pedagogical decisions. The proposed hybrid symposium seeks to bridge this gap by engaging learning scientists, CSCL researchers, and educators in discussions that integrate advanced discourse analytics with pedagogical design. Through five diverse presentations, the symposium will explore the integration of advanced discourse analysis techniques, such as networked approaches, multimodal analytics, and clustering analysis, into pedagogically meaningful designs and actionable pedagogical insights for collaborative learning environments. By fostering dialogue on the challenges and opportunities in contextualizing computational insights, this symposium aims to establish actionable approaches for enriching collaborative discourse and advancing the broader CSCL community’s theoretical, methodological, and practical understanding.