Author(s)

Ji Li¹, Jin Lu^2*, XiaoTing Wan³

Affiliation(s)

¹Research Management Office, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

²Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

³Educational Technology and Information Center, Shenzhen Polytechnic University, Shenzhen, Guangdong, China.

Corresponding Author

Jin Lu

ABSTRACT

Generative Artificial Intelligence Techniques is an AI system capable of generating new, original content. The field of artificial intelligence is witnessing a period of rapid growth, driven by the emergence of large generative AI models in recent years. OpenAI introduced ChatGPT, a dialogue chatbot with advanced natural language generation capabilities, which garnered significant attention globally. This led to a surge in the development of large generative AI models, including Gemini, Copilot, LLaMA, SAM, SORA, and numerous others. At the present time, the information age is entering a phase of accelerated development characterized by the advent of intelligent computing. The breakthroughs in generative AI technology that have been achieved to date are numerous and significant, and they are gradually and profoundly transforming thousands of industries.First, this paper elaborates on the development history of artificial technology, especially the iteration of generative AI technology. Secondly, this paper provides a systematic overview of the current status of the application of generative AI technology in education, and at the same time analyzes the role played by generative AI technology in the digital transformation of schools. Finally, the paper sheds light on the issues and challenges that generative AI technologies will bring to education.

KEYWORDS

Generative artificial intelligence; Education; Digital transformation

CITE THIS PAPER

Ji Li, Jin Lu, XiaoTing Wan. Study of generative artificial intelligence techniques in the digitisation transformation of education. Journal of Computer Science and Electrical Engineering. 2024, 6(2): 71-79. DOI: 10.61784/jcsee3008.

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