Computer-Supported Collaborative Language Learning (CSCLL) integrates technology to enhance language learning through collaboration by enabling students to work together, share resources, and engage in interactive activities. Orchestration plays a key role in structuring these activities, ensuring effective interactions and improved learning experience. Additionally, learning analytics (LA) tools provide valuable insights by capturing and analyzing learner data, helping educators tailor instruction and create adaptive learning environments. This thesis explores the intersection of CSCLL, orchestration, blended learning, and LA. Using a design-based research approach, it pursues two objectives: first, to assess the current state of CSCLL orchestration using LA tools, revealing a lack of language-specific solutions; and second, to develop an LA tool to monitor students' language use, improving instructional orchestration. The tool is iteratively refined through three evaluative studies, demonstrating its impact on motivation, engagement, self-regulation, and learning outcomes. Future research directions and study limitations are also discussed.
Eirini Dellatola (Fri,) studied this question.