Design and Empirical Study of PSC Course Model Based on AI Program

Abstract

With the development trends of reform and opening up, modernization of education, and globalization of the economy, the importance of teaching Mandarin proficiency test (PSC) has become increasingly significant. At the same time, the development of course models for Mandarin proficiency test systems assisted by computer networking, AI technology, and mobile applications has emerged. Existing offline and online course platforms suffer from issues such as unsuitability of form, poor interactivity, and lack of universality, which hinder the widespread implementation of PSC courses. In light of this, based on thorough investigation and research, this paper, taking the “Special Textbook for Mandarin Proficiency Test” as a blueprint, combined with Mandarin teaching theory, designed and developed a PSC course model based on AI programs. The learning effectiveness of this model was experimentally tested, and statistical research methods were used to compare and analyze the experimental data. The experimental data showed significant improvement, which was in line with the expected results.