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桥接差距:AI口语学习软件在对齐真人外教方面的现状、挑战与实现

Bridging the Gap: Current Status, Challenges, and Implementations of AI Spoken English Learning Software in Aligning with Real Human Tutors
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摘要 在后疫情时代及经济全球化的大背景下,各国之间人员流通速度不断加快。英语作为世界通用语言,无论在外事服务、外贸工作,还是留学深造等方面都起着至关重要的作用,对于大学生群体来说,英语更是日常文献阅读、口语交流必不可少的技能之一。然而,在中文母语环境下,如何提高英语口语交流能力对于大学生来说是一个棘手的难题。本研究围绕AI口语学习软件与真人外教之间的差异,探讨了当前AI技术在英语口语学习方面的应用现状、面临的挑战以及如何通过技术手段缩小这一差距。通过漏斗原理进行市场调研、学习动机研究与技术实现分析,本研究识别并分析了11个有利于提高大学生英语口语学习动机的功能点,并提出了3个技术可实现的关键功能点。研究结果表明,虽然AI口语学习软件在提供实惠、便捷的口语学习途径方面具有优势,但在模拟真人教学效果、激发学习动机方面仍存在不足。因此,本研究提出了一系列基于技术实现的改进策略,旨在提升AI口语学习软件的教学质量和学习者体验。 In the post-pandemic era and the context of economic globalization, the speed of personnel exchanges between countries is accelerating. As the lingua franca of the world, English plays a vital role in foreign affairs, foreign trade, study abroad, and other areas. For college students, English is an indispensable skill for daily literature reading and oral communication. However, in China’s native language environment, improving spoken English communication skills is a challenging problem for college students. This study focuses on the differences between AI spoken English learning software and real human tutors, exploring the current application status of AI technology in spoken English learning, the challenges faced, and how to narrow this gap through technical means. Using the funnel principle for market research, study of learning motivation, and analysis of technological implementation, this study identifies and analyzes 11 functional points beneficial for enhancing college students’ motivation to learn spoken English, and proposes 3 key technologically feasible functional points. The results indicate that although AI spoken English learning software has advantages in providing affordable and convenient learning paths, it still lacks in simulating real human teaching effects and stimulating learning motivation. Therefore, this study proposes a series of improvement strategies based on technological implementation, aimed at enhancing the teaching quality and learner experience of AI spoken English learning software.
出处 《交叉科学快报》 2024年第2期107-116,共10页 Interdisciplinary Science Letters
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