Question Complexity

Question complexity, a multifaceted challenge in various fields, focuses on understanding and measuring the difficulty of questions across diverse domains, from education and assessment to question-answering systems. Current research emphasizes developing robust methods for estimating question difficulty, often employing techniques like natural language processing, knowledge graph analysis, and transformer-based models to analyze linguistic features, contextual information, and reasoning steps required to answer. This work aims to improve the design of assessments, educational tools, and AI systems by enabling more accurate prediction and generation of questions tailored to specific knowledge levels and learning objectives. The resulting advancements have implications for creating more effective learning experiences and improving the performance of AI-powered question-answering systems.