Designing an Intelligent Teaching System of Chinese as a Foreign Language under the Internet Background

Abstract

To overcome the limitations of the traditional teaching system and improve learners’ language learning efficiency by incorporating personalized allocation of learning resources and learning evaluation into the Chinese as a foreign language teaching system (CFLTS). This paper aims to deeply study the overall design of the intelligent teaching system (ITS) for CFLTS. Firstly, this paper develops an ITS for CFLTS. It focuses on the intelligence teaching system’s structural planning and structural design. The system functional structure and the specific characteristics and recommendations module constitute a two-way teaching quality evaluation module. The elite teaching optimization algorithm based on the feedback mechanism is adopted. The students are divided into excellent and poor students after the feedback mechanism is added to split the student stage. Next, they dynamically adjust the scale of excellent and poor students, conduct feedback communication between poor students and teachers, and strengthen the convergence ability. Finally, self-learning for good students is arranged by performing an excellent local search and including the feedback stage to broaden the range of learning methods and improve the ability to find global teaching resources. The completion of all these steps ensures that the design of an ITS for CFLTS is now complete. According to the experimental results, the ITS proposed in this work has a higher level of overall stability, effectively improves students’ learning efficiency and teaching quality, and can better meet the needs of Chinese language learners.