Exploring pathways for AI-assisted instruction in new classics recitation
探析人工智能辅助新经典诵读教学路径

摘要

本文在建构主义学习理论、语言输入假说及多元智能理论的基础上探析了人工智能技术与新经典诵读教学深度融合的问题，针对传统诵读教学中存在的机械化诵读主导、个性化指导匮乏、文化体验薄弱等问题，结合自然语言处理（NLP）、自动语音识别（ASR）、虚拟情境生成等新技术构建“智能语音交互—虚拟情境创设—深度认知解析—动态评价反馈”四维应用体系，从而突破时空局限，激起学生对新经典的情感共鸣与文化认可感，提升文化理解与审美素养，为语文教学现代化提供参考路径。

Abstract

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.