Adaptive or intelligent scripting is a promising new approach to computer-supported collaborative learning (CSCL). Such collaboration scripts need mechanisms to adapt to the learners’ progress and to assess the learners’ evolving interactions. However, researchers are still facing many challenges how to model this process effectively. In our current study we applied a probabilistic approach to model efficient and inefficient communicative processes in chat-based CSCL.