1 Introduction

The widespread application of artificial intelligence in the field of education in recent years has triggered a transformation in teaching methods. People's attitudes toward artificial intelligence vary, ranging from complete acceptance to resistance. The article raises three key questions: the obstacles brought by artificial intelligence, its advantages, and coping strategies, and articulates the research objective, which is to explore the application of artificial intelligence in international Chinese language teaching and how to help learners of different levels and backgrounds improve their learning outcomes.

2 AI’s Duality

It delves into the duality of artificial intelligence in international Chinese language teaching, analyzing on one hand the threats and challenges it brings, and on the other hand elaborating on its numerous benefits, while proposing strategies to address this duality.

In terms of threats and challenges, while technological advancements have enhanced productivity and convenience, they have also led to many adverse consequences, the most prominent being job losses. Historically, numerous artisanal jobs were replaced by automation during the Industrial Revolution, sparking the Luddite movement. Similarly in modern times, as Fortune magazine points out, AI may cause the loss of 8 million jobs in the UK, with women and Generation Z facing the highest risks. Additionally, there are many challenges such as technical mastery, role positioning, educational equity, student privacy protection, human-machine collaboration, teaching innovation, and cross-cultural communication. Some have even attempted to halt AI development through litigation. Addressing this issue requires comprehensive strategies.

In terms of benefits, most people consider AI a positive advancement in human history, especially in the field of language education. The application of AI in language education is extensive, such as intelligent tutoring systems, assessment and evaluation, adaptive systems, and personalized learning. AI can provide personalized learning experiences; platforms like Duolingo and Rosetta Stone offer customized learning content based on learner characteristics. In assessment and feedback, AI systems like Mondly and Busuu can quickly and accurately evaluate learners' language proficiency and provide immediate feedback. Natural Language Processing (NLP) technology enables AI systems to understand and generate human language, allowing learners to interact naturally with chatbots. AI-driven virtual tutors can simulate one-on-one tutoring, offering learners guidance throughout their learning journey. Combined with Virtual Reality (VR) and Augmented Reality (AR) technologies, AI can create immersive language learning environments, enabling learners to practice language skills in real-world scenarios. AI algorithms can also analyze vast amounts of online content to recommend relevant articles, videos, and other multimedia resources to learners, stimulating interest and promoting self-directed learning. Furthermore, AI can enhance the fun and interactivity of learning through gamification elements such as challenges, rewards, and progress tracking, thereby increasing learners' motivation and engagement. Overall, AI holds great potential in improving teaching efficiency and effectiveness, capable of revolutionizing foreign language teaching methods.

In terms of strategies to address AI's duality, AI is likened to a "double-edged sword," offering numerous benefits while also posing significant challenges. The emergence of large language models like ChatGPT brings unprecedented challenges and opportunities to foreign language education. On one hand, AI may trigger disruptive crises; on the other hand, it offers new educational concepts, methods, and resources.

3 AI Applications Across Diverse Real-world Scenarios

It first introduces the seven strategies proposed by Xu Juan and Ma Ruiling to address challenges in the field of artificial intelligence, emphasizing the importance of integrating AI with learning user experience solutions to enhance learning outcomes and efficiency. Next, the article mentions China's progress in the approval of AI models, including over 40 AI models approved for public use in the past six months and 14 large language models approved last week. It lists well-known platforms such as Alibaba's Tongyi Qianwen, Baidu's Wenxin Yiyan, 4Paradigm's "Shishuo," iFlytek's Spark, Kimi, and DeepSeek, noting that Chinese professionals have deeper expertise in these areas.

The article also discusses how AI has gained popularity in recent years, and users may have varying levels of experience with AI, ranging from novices to experienced practitioners. Case studies aim to present information in diverse ways to meet the interest levels of different audiences. Meanwhile, the article reminds readers that the same tools can have multiple functions, and the same goals can be achieved through different methods. Additionally, to optimize space utilization, discussions will prioritize presenting innovative ideas rather than delving deeply into technical details. Finally, the examples provided in the article demonstrate the author's application of AI through independent experiments, including original prompts designed by the author and unmodified outputs directly generated by AI.

When discussing the application of AI in Chinese language teaching, the article points out that our understanding of both AI and language teaching is continually expanding. AI has already absorbed human teaching techniques, and we can also gain valuable insights from AI. The article cites the views of Yuan Xi and Wu Yinghui, emphasizing the importance of AI and humans complementing and resonating with each other in the field of international Chinese education.

In specific application scenarios, the article first explores how to explain the grammatical structure of sentences. Taking the example, "在这万紫千红的时节，我建议大家一起去大明湖游赏美丽的春景," AI provides a detailed analysis of the sentence's adverbial of time, subject, predicate, indirect object, and direct object, noting that it is a complex sentence introduced by an adverbial of time. Teachers can develop their own versions of grammatical annotations based on suggestions provided by AI.

Next, the article discusses teaching procedures for Chinese grammar, using the "把" structure as an example. AI offers a comprehensive overview for teaching the "把" structure, including understanding its basics, proper formation, common errors, verb and object requirements, and the use of negation and adverbs. The article notes that the "把" structure is a complex linguistic challenge, and the author has previously explored this topic in earlier articles, finding AI's performance in teaching grammar commendable.

Finally, the article explores the advantages of conducting text style, tone, and sentiment analysis, which helps in gaining deeper insights into the author's intent and the emotional impact on readers.

4 Conclusion

It explores the challenges and advantages of artificial intelligence in international Chinese language teaching, emphasizing the importance of leveraging AI's strengths to overcome challenges. It points out that actively understanding and mastering AI technology is key to driving development in various fields, including language education. The paper also examines the functions of AI and strategies for effective guidance to promote growth and innovation in the field. It mentions the GPT-4o13 model released by OpenAI on May 13, 2024, stressing that Chinese language educators should adopt AI-enhanced teaching methodologies. It cites Sheng Yuqi's strategies, particularly lifelong learning and active engagement, to address AI challenges and harness its potential.