The development of digital transformation in education driven by intelligent technology was discussed, emphasizing the role of data intelligence technology in building smart education, including perceptual learning environment, intelligent resource supply, etc. At the same time, it is pointed out that the global pandemic has provided opportunities for digital transformation in international Chinese education, and the emergence of language intelligence technology, especially the intelligent chatbot ChatGPT, has accelerated this process. The article aims to summarize the application of language intelligence in international Chinese education, analyze its advantages and disadvantages, and explore the integration path of intelligent technology and Chinese education, in order to build an educational ecosystem with flexibility, openness, and adaptability.
Reviewed the current application status of language intelligence in international Chinese education, including key technologies such as handwriting recognition, intelligent speech, intelligent correction, intelligent question answering, and machine translation. Intelligent speech technology achieves human-machine language communication through speech recognition, speech synthesis, and speech evaluation, and the application of deep learning improves recognition rate and synthesis naturalness. The intelligent evaluation technology for essays assists teaching through automatic scoring and grammar diagnosis, and the application of deep learning algorithms improves the evaluation effect. The development of language intelligence technology should serve international Chinese smart education, promote learners' deep learning of Chinese language and cultural knowledge, assist teachers in precise teaching and students in personalized learning, and cultivate intelligent Chinese talents.
Through questionnaire surveys and case analysis, the current application status and problems of language intelligence technology in international Chinese education were studied. A questionnaire survey was conducted among 260 international Chinese education practitioners, and it was found that their familiarity with language intelligence technology is not high, and their overall digital literacy is low, but they are willing to introduce intelligent technology into the classroom. The case study analyzed two products, "SAIT Chinese" and "IN Classroom", and pointed out their advantages and disadvantages in teaching assistance, pronunciation correction, and essay grading. The research conclusion suggests that language intelligence technology can help integrate teaching resources, improve teaching efficiency, achieve data-driven teaching decisions, flexible and diverse learning methods, and objective and real-time evaluation feedback. However, at the same time, there are still some problems in the practical application of intelligent speech technology and intelligent essay evaluation technology, such as environmental noise interference, pronunciation recognition accuracy, scoring and error correction accuracy, etc., which need further research and improvement.
Explored the future development direction of international Chinese smart education, emphasizing the use of language intelligence technology to build an efficient, autonomous, and flexible smart learning environment through the scientific integration of hardware, software, human resources, and latent resources. Specifically, it includes: (1) in terms of hardware and software, proposing to create a smart learning environment that integrates online and offline, strengthening key technology research and development, building an international Chinese smart education resource research and development chain, developing intelligent terminals and multifunctional smart screens, using intelligent technology to record and analyze classroom data, and providing support for personalized teaching; (2) In terms of personnel, emphasis is placed on cultivating a Chinese language teaching staff with digital literacy and language intelligence technology application capabilities, and improving teachers' digital teaching abilities through courses, lectures, and training classes; (3) In terms of latent components, it is proposed to construct a smart teaching model that integrates precise teaching and personalized learning, draw on successful experiences at home and abroad, explore the path of deep integration of intelligent technology and Chinese teaching, and formulate relevant policy norms to provide guidance for the scientific development of international Chinese smart education.
The importance of digital transformation in education for international Chinese education was emphasized, and the key role of language intelligence technology in promoting the development of smart education was pointed out. The goal of reducing teacher burden, activating students, optimizing evaluation, and improving teaching quality through language intelligence technology has been proposed to solve practical difficulties and promote the sustainable development of international Chinese education. At the same time, it emphasizes the comprehensive reconstruction of educational theories, models, resources, processes, evaluations, and ecology to promote the high-quality development of international Chinese education.
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