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Item Response Theory (IRT) is a psychological and educational measurement theory which breaks the limitations of Classical Test Theory (CTT). The core issue of IRT application is parameter estimation. Taking the Logistic model as an example, this article introduces the basic models and parameter estimation methods of IRT, especially the IRT parameter estimation algorithms based on artificial intelligence. By analysis and comparison of various algorithms that are applied to estimate parameter, the major problems of IRT parameter estimation are formulated, and the future development prospect of IRT models is put forward.