Modern Social Science Research

Based on the constructivist learning theory, the input hypothesis of language, and the theory of multiple intelligences, this paper explores the issue of the deep integration between artificial intelligence technology and the teaching of New Classic Recitation. In response to the problems existing in traditional recitation teaching—such as the predominance of mechanical recitation, the shortage of personalized guidance, and the inadequacy of cultural experience—the study constructs a four-dimensional application system of "intelligent speech interaction, virtual scenario creation, in-depth cognitive analysis, and dynamic evaluation feedback" by integrating new technologies including Natural Language Processing (NLP), Automatic Speech Recognition (ASR), and virtual scenario generation. This system breaks through the constraints of time and space, arouses students' emotional resonance and cultural identification with the New Classics, enhances their cultural comprehension and aesthetic literacy, and provides a reference pathway for the modernization of Chinese language teaching.

Artificial Intelligence; Natural Language Processing (NLP); Automatic Speech Recognition (ASR); New classic recitation; Teaching pathway