Modeling Dynamics of Learning and Learners with the Transition Network Analysis Toolkit

Discover Transition Network Analysis (TNA), a framework that brings statistical rigor to learning process modeling. In this workshop, you will explore TNA and its key variants including Attention Network Analysis, Co-occurrence Network Analysis, and Heterogeneous TNA to capture the full complexity of collaboration dynamics, human-human and human-AI alike. From bootstrapping and permutation testing to community detection and subgroup comparison, you will gain a rich set of tools for rigorous, reproducible network analysis. With both no-code platforms (tna-web, JTNA) and the tna R package covered, researchers at every technical level will leave ready to apply TNA to real data.