Human-Computer Interaction and Virtual Reality
Human-Computer Interaction and Virtual Reality. 2025; 1: (1) ; 10.12208/j.hcivr.20250005 .
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上海电力大学外国语学院 上海
*通讯作者： Zhiqin Wang,单位：上海电力大学外国语学院 上海；
人工智能（AI）的快速发展正在改变传统的教育模式，逐渐从“人与人”的教学模式转向“人机协作”（HMC）。人机协作（HMC）正逐渐成为教育领域，尤其是在外语教学中的重要范式。本文探讨人机协作在外语教学中的应用，重点阐述其理论基础、实践案例、优势与挑战。本文基于认知负荷理论、建构主义学习理论和个性化学习理论，分析人机协作如何优化教学效率，提升个性化学习体验。本文通过人工智能语言平台、实时翻译技术等案例研究，展现了人机协作在提供即时反馈、定制学习路径和培养跨文化交际能力方面的潜力。然而，本文也指出了过度依赖技术、批判性思维弱化以及数据隐私相关问题带来的挑战。最后，本文对未来的发展方向进行了展望，强调教师角色的转变以及人工智能与人类智慧平衡结合的必要性，以推动外语教学的全面创新。
The rapid development of Artificial Intelligence (AI) is transforming traditional educational models, gradually shifting from 'human-to-human' to 'human-machine collaboration' (HMC). Human-Machine Collaboration (HMC) is gradually becoming an important paradigm in the field of education, especially in foreign language teaching. This paper explores the application of human-machine collaboration in foreign language teaching, focusing on its theoretical foundations, practical cases, advantages, and challenges. Based on Cognitive Load Theory, Constructivist Learning Theory, and Personalized Learning Theory, this paper analyzes how human-machine collaboration can optimize teaching efficiency and enhance personalized learning experiences. Through case studies such as AI language platforms and real-time translation technologies, this paper demonstrates the potential of human-machine collaboration in providing immediate feedback, customizing learning paths, and fostering intercultural communication competence. However, the paper also points out the challenges posed by over-reliance on technology, the weakening of critical thinking, and issues related to data privacy. Finally, this paper looks forward to future development directions, emphasizing the transformation of teachers' roles and the necessity of a balanced combination of artificial intelligence and human wisdom to promote comprehensive innovation in foreign language teaching.
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