Research on Innovative Teaching of Classical Chinese in Junior High School Chinese Based on Generative AI

Abstract

With the rapid development of modern information technology, generative AI has shown great potential in language processing, situational creation, and spatiotemporal scene construction, providing new possibilities for educational innovation. The traditional teaching of classical Chinese faces practical challenges such as single teaching methods, fixed teaching models, and one-sided teaching evaluations, which restrict students' development and hinder the improvement of their core competencies. Therefore, based on constructivist learning theory and multiple intelligence theory, this study uses generative AI as the technical support to carry out innovative research on classical Chinese teaching. By visualizing classical Chinese texts and gamifying classical Chinese learning, we aim to stimulate students' interest in learning; By customizing personalized teaching models and fully implementing the principle of teaching according to students' aptitude, we can meet the differentiated needs of students; Through multidimensional teaching evaluation, promote the development of students' literacy, help students complete the closed loop of "learning classical Chinese - using classical Chinese", and strive to cultivate students into new era literacy talents. The deep integration of technology and education will also bring new opportunities for the development of classical Chinese in junior high school Chinese.