Difficulty Estimation

Difficulty estimation focuses on automatically assessing the inherent challenge of tasks, ranging from solving programming problems and playing musical pieces to mastering language learning exercises and video frame interpolation. Current research employs diverse approaches, including large language models, factorization machines, and Item Response Theory, often combined with pre-trained models or tailored architectures to improve accuracy and interpretability. This field is crucial for creating personalized learning experiences, optimizing educational resources, and enhancing the efficiency of various computational tasks, with applications spanning education, entertainment, and computer science.