User Guide¶ Step-by-step guides for each module of the library. Knowledge Structures and Relations Surmise relations Knowledge structures Querying Experts How it works Basic usage Controlling the algorithm Inspecting results Competence-Based KST (CB-KST) The model Usage Skill-to-item conversion Adaptive Assessment The BLIM model One-shot assessment Adaptive assessment Low-level control Parameter Estimation (EM) What it estimates High-level API Low-level API How it works Import / Export CSV formats JSON Validation Comparing Structures Distance between structures Agreement on prerequisites Domain validation Command Line Interface ks inspect — examine a KST file ks query — derive a structure from expert knowledge ks assess — adaptive student assessment MCP Server What the server provides Installation Configuration Usage examples Architecture