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人工智能在语言教学中的应用研究:回顾与展望 被引量:1

The application of artificial intelligence in language teaching over the past three decades:Retrospect and prospect
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摘要 人工智能与教育领域的深度融合为语言教学的理论创新与实践探索提供了新的契机。本研究聚焦人工智能在语言教学领域的应用,回顾了近三十年135项国内外实证研究。从人工智能前沿技术方法、典型应用场景、核心算法模型、主要应用成效、优势与挑战等五个方面制定了编码框架,采用内容分析法开展了文献综述研究。研究结果显示,人工智能应用于语言教学的前沿技术方法包括自然语言处理、机器学习、深度学习与大语言模型、知识图谱、计算机视觉、自动语音识别等。典型应用场景包括自动问答与聊天机器人、机器翻译、语料库、语言智能导学、语言智能测评等。主要应用成效体现在促进语言学习者的知识获取与技能习得、核心素养塑造、学习心理分析、策略行为发展等四个方面。本研究旨在为人工智能支持的语言教学提供研究启示与实践参考,推动语言智能教学的创新与发展。 The integration of artificial intelligence(AI)into education provides new opportunities for further theoretical and practical exploration in the field of language teaching.This study focuses on the application of artificial intelligence in language teaching and reviews 135 empirical studies published at home and abroad over the past thirty years.A coding framework has been postulated including the following five aspects:the cutting-edge AI technologies,typical scenarios for the applications of AI,core algorithms or models,major effects of the applications,advantages and challenges,etc.Content analysis has been used to conduct this review study.The results show that the cutting-edge AI technologies in language teaching include natural language processing,machine learning,deep learning and large language models,knowledge graphs,computer vision,and automatic speech recognition.Typical scenarios for the applications of AI in language teaching include automated question answering,chatbots,machine translation,corpus,intelligent tutoring and automated assessment.The major effects of AI applications in language teaching include promoting language learners'knowledge acquisition,improving their linguistic skills,shaping their core competencies,analyzing learner psychology,and developing their learning strategies.The research aims to provide implications for the research and practice of intelligent computerassisted language learning,and promote the innovation and development of intelligent language teaching.
作者 郑春萍 于淼 郭智妍 Zheng Chunping;Yu Miao;Guo Zhiyan
出处 《外语教学》 北大核心 2024年第1期59-68,共10页 Foreign Language Education
基金 2021年国家自然科学基金项目“融合多模态学习分析的英语演讲能力评估模型与应用研究”(项目编号:62107005)的阶段性研究成果。
关键词 人工智能 语言教学 文献综述研究 内容分析 artificial intelligence language teaching review studies content analysis
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