1 Introduction

It emphasized the importance of General Secretary Xi Jinping's efforts to enhance the dissemination and influence of Chinese civilization, and pointed out that China has a responsibility to support the international community in carrying out Chinese language education. With the increasing international influence of China and the growing number of international friends learning Chinese, the development of generative artificial intelligence has accelerated the digital transformation of international Chinese education. However, there are problems such as homogenization and low-level duplication in the construction of digital resources for international Chinese education, and it is necessary to bridge the digital divide between technology development and teaching and learning practice. This study aims to explore the construction of a Chinese writing specific intelligent agent for international students, using generative artificial intelligence to promote the digital transformation of international Chinese education and provide more possibilities.

The main research on empowering international Chinese education with artificial intelligence

Explored the importance of digital transformation in international Chinese education and emphasized the role of information technology in promoting educational reform. The research covers resource construction, teaching methods, and digital transformation paths, as well as interdisciplinary innovation from the perspective of digital humanities. At the practical level, the potential application of technologies such as artificial intelligence and educational robots in international Chinese education has been predicted. The application of artificial intelligence in second language learning has been proven to significantly improve learning outcomes, with tools such as ChatGPT and Duolingo showing improvement in vocabulary, comprehension, and speaking abilities. Generative artificial intelligence has shown great potential in Chinese writing teaching, providing personalized feedback, optimizing writing materials, and promoting critical thinking among learners. However, the field of Chinese language learning still faces challenges such as a shortage of digital resources and the development of large-scale language models. This study aims to explore the research framework and application value of constructing an international Chinese education writing specific intelligent agent, providing new ideas for digital construction.

A Research Framework for Empowering International Chinese Education Digital Writing Platform with Generative Artificial Intelligence

Explored the application of generative artificial intelligence in the international digital writing platform for Chinese education. The research background points out that with the increasing demand for international friends to learn Chinese, the demand for improving Chinese writing skills is also becoming stronger. The research question focuses on how to use generative artificial intelligence to empower Chinese writing teaching, and a corresponding research framework has been constructed. Based on the CoI theory model, this study focuses on the role of intelligent agents in providing personalized writing guidance, positive feedback, emotional support, and as teaching aids. By sorting out the writing needs of international students and Chinese education standards, building a private knowledge base, and training vertical large models to achieve intelligent agent construction. The future application prospects include intelligent agent teaching assistant applications, intelligent agent iterative optimization, and promotion applications, aiming to enhance the writing ability of Chinese learners and promote the collaborative development of intelligent agents, learners, and teachers.

Construction and practical exploration of 4 specialized Chinese writing intelligent agents

Introduced the process and practical exploration of building a dedicated Chinese writing agent. Firstly, Zhipu Qingyan was chosen as the base model due to its excellent performance in Chinese writing, logical ability, and multimodal functionality, and support for self built private knowledge bases. The configuration of an intelligent agent includes three parts: introduction, foundation, and upgrade. It is defined as a conversational interactive robot with the ability to quickly build without code, and is designed with a personalized logo, name, and introduction. In terms of selecting and configuring knowledge base materials, the system has configured three types of materials: biased research literature, Chinese proficiency level standards, and Chinese learner writing corpora to ensure the professionalism and specialization of the intelligent agent.

5. Data collection and evaluation analysis based on CoI theory model for intelligent agents

This chapter collects data records of 5 Thai international students using intelligent agents, and analyzes the effectiveness and limitations of intelligent agents in international Chinese language learners' writing based on the CoI theory model. Research has found that intelligent agents support learners in building knowledge and promoting higher-order cognitive engagement through interactions with them, such as gradually understanding Chinese writing revision suggestions through multiple rounds of Q&A, and improving writing skills. The cross-cultural understanding ability demonstrated by intelligent agents promotes learners' cognitive participation, such as prompting learners to improve and optimize from a cross-cultural perspective. Social existence analysis shows that intelligent agents enhance learners' writing efficacy, trust, and sense of belonging through emotional support, forming a collaborative learning community between humans and machines. Analysis of teaching existence shows that intelligent agents provide guiding interventions and ensure learning effectiveness by analyzing learners' personalized needs and providing feedback based on knowledge bases. For example, by understanding learners' language proficiency and needs through preset questions, personalized feedback is generated to gradually improve their language abilities. The combination of intelligent agents with personalized and adaptive teaching strategies helps promote learners' cognitive and social existence.

Outlook for the Development of the International Chinese Language Education Community in the Era of Digital Intelligence: "Intelligent Agent Learner Teacher"

Explored the development of the "intelligent agent learner teacher" community in international Chinese education in the era of digital intelligence. Emphasize the role of intelligent agents as the main tool, and enhance professionalism and targeting through deep learning and analysis of high-quality corpora. Suggest localizing deployment based on open-source large model frameworks, building large-scale domain corpora, and optimizing agent adaptability. Intelligent agent teaching assistants can provide 24-hour online writing assistance, enabling personalized resource recommendations and adaptive learning. As learners, their artificial intelligence literacy directly affects the effectiveness of human-computer interaction. Future research needs to enhance learners' artificial intelligence literacy and focus on the impact of human-computer interaction on critical thinking and ethical awareness. As the main body of teaching, teachers play a core role in the transformation of educational intelligence. They need to enhance their artificial intelligence literacy, guide students to use technology correctly, and supervise and guide students to regulate their behavior in using technology.

7 Conclusion

Generative artificial intelligence has great potential in international Chinese education. Based on the Zhipu Qingyan model, this study constructs an international Chinese writing specific intelligent agent and completes training through a knowledge base and information configuration. The test results indicate that the intelligent body can effectively improve the Chinese writing ability of international students and support adaptive learning. In the future, we will strengthen the technological capabilities of intelligent agents, promote the intelligence and personalization of education models, and facilitate the digital reform of international Chinese education and the international dissemination of Chinese language.