A study on knowledge tracing models in Intelligent Tutoring Systems (ITS) proposes PICKT, a new approach to improve robustness under the question cold start situation. The study identifies key features that support KT model robustness, including difficulty, texts, and relational information derived from the knowledge map. This research has implications for the development of AI-powered educational systems.