An analysis of AIGC-powered college English speaking course in the context of digital intelligence
数智化视域下生成式人工智能赋能大学英语口语课堂路径研究

摘要

面对传统大学英语口语课程学分缩减、大班教学、课堂效率低下、学生口语焦虑高、课程内容单一、过程性评价缺乏等诸多痛点，大学英语口语课程改革迫在眉睫。当前，数智化深度融合教育正引发范式变革，AIGC 技术的引入，为大学英语教学带来了新的机遇。本文以生成式AI有效融入大学英语口语课堂为主线，提出生成式AI融入课堂教学的路径，即一个中心：以提高学生口语水平为中心；三大原则：师生主体，技术赋能，数据驱动；三个维度：课前、课中及课后三维度。借助生成式人工智能，教师可以建立“课前输入准备—课中促成输出—课后多元评价”三大环节，进而形成一个数据驱动、实时反馈、持续优化的教与学闭环以实现“输入驱动—输出促成—产出导向”的教学理念和教学目标。

Abstract

The drawbacks of the traditional college English speaking course such as credit shrinking, large class, low class efficiency, high learning anxiety and lack of processive assessment have made a thorough reform urgent and necessary. With the deep integration of the digital intelligence and education, the introduction Artificial Intelligence Generative Content (AIGC) brings positive chances to college English teaching. Based on the effective integration of AIGC to the college English speaking course, the paper has posed a productive way of applying AIGC to English speaking course, namely, one center with three principles and three dimensions. The introduction of AIGC enables a data-driven, real-time feedback, and continuously optimized teaching-learning closed loop in three key phases: "pre-class input preparation, in-class output facilitation, and post-class diversified evaluation", reaching objectives of input-driven, output-facilitated, and production-oriented.