生成式人工智能赋能英语口语教学的探索——基于社会文化理论的案例研究

Exploring Generative AI-Enhanced English Speaking Instruction—A Case Study Based on Sociocultural Theory

摘要: 本研究以社会文化理论(sociocultural theory)为基础，进行了为期三周的案例研究，研究人工智能(Generative AI)在英语口语教学中的应用。研究发现，人工智能作为一种智能工具，对学生语言成绩有明显好处。它提高了语言的准确性，降低了语言焦虑，增强了学生的自信心，促进了课堂参与和语言的实际应用。对学生的口语分析显示，他们的语法错误减少，词汇使用更准确，语言表达更复杂，话语组织更自然，会话更流畅。尽管如此，当前的人工智能技术在实际应用中仍存在问题，比如语音识别不够准确，会话连贯性有待提高，对社会文化背景的融入还不够。本研究提供了相关证据，并为改进教育技术提出了建议。

Abstract: This study consisted of a three-week case study based on sociocultural theory (SCT) to examine the use of Generative AI (GAI) in English speaking instruction. The study showed that GAI, as an intelligent tool, has significant benefits for improving students’ language skills. It improves linguistic accuracy, reduces language anxiety, increases students’ self-confidence and promotes classroom participation and practical use of the language. Analysis of the language spoken by the students revealed a reduction in grammatical errors, more precise use of vocabulary, more sophisticated expressions, a more natural organization of speech and more fluid conversations. However, the practical application of current AI technologies still poses problems, such as the lack of accuracy in speech recognition, the need to improve conversational coherence and the insufficient integration of socio-cultural contexts. This study provides important evidence and suggestions for improving educational technologies.