Generation and Evaluation of International Chinese Teaching Resources by Generative Artificial Intelligence
Generative artificial intelligence has set off a new round of intelligent revolution and promoted the reform and development of the education industry. The development of international Chinese education also requires the digitalization and intelligence of international Chinese teaching resources. In this regard, this article utilizes the technology of ChatGPT platform to integrate teaching resources, constructs an artificial intelligence teaching resource generation framework consisting of demand analysis, intelligent generation, and quality assessment modules, as well as a quality evolution model of artificial intelligence international Chinese teaching resources. Based on this framework and resource quality evolution model, an experiment on the generation of artificial intelligence teaching resources was carried out, and inspections and evaluations were conducted from the perspectives of natural language processing technology, learners, and teachers. The results show that the teaching resources generated by artificial intelligence pass the inspection of natural language understanding technology and have good quality; learners and teachers are optimistic about the application of teaching resources in teaching and believe that most of these resources have reached a usable state; learners' overall experience in using teaching resources is positive and they believe that these resources can promote learning in many aspects. The application of artificial intelligence in generating teaching resources in this article helps to optimize the construction mode of international Chinese teaching resources and promote the high-quality development of international Chinese education.
Authors
- Wenhan Zhang
- Huicheng Dou
Institutions
- Bohai University (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1145/3724504.3724537
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00