Shenyang Jincheng Junior High School, Shenyang City, Liaoning Province, China

Abstract: Targeting three prominent pain points in junior high Chinese teaching, namely students’ scarcity of writing materials, barriers to classical Chinese comprehension, and lack of personalized guidance, this paper constructs a three-dimensional innovative model supported by generative artificial intelligence (AI): "Situational Creation – Progressive Thinking – Dynamic Evaluation". Based on two years of teaching practice covering 12 schools across six provinces with a sample size of 1,586 students, the model achieves remarkable improvements: the compliance rate of students’ detailed description in writing rises by 37%, students’ interest in ancient poetry learning reaches 92%, and their language literacy scores increase by 31 points in PISA reading assessments. Rooted in the requirements of the 2022 Compulsory Education Chinese Curriculum Standards, this research develops localized teaching cases such as "AI dynamic storyboard writing" and "digital human dialogue for classical Chinese", providing frontline teachers with practical paradigms that balance technological efficiency and humanistic value.

Keywords: junior high school Chinese; generative artificial intelligence; innovative teaching design; dual-track integration; process-oriented evaluation