Generative Artificial Intelligence And Narrative Digital Text Creation: Opportunities And Risks For Pre-Service Primary Teacher Education

Authors

  • Zokirova Sohiba Mukhtoraliyevna Professor at Fergana State University, Uzbekistan

Keywords:

Generative artificial intelligence, digital text, narrative approach

Abstract

The paper discusses how the spread of generative artificial intelligence affects the development of digital text creation competence in future primary school teachers. Opportunities and risks are outlined, and it is argued that the narrative approach, with its emphasis on personal experience, a concrete addressee and authorial responsibility, provides a framework within which AI tools can be used without weakening the competence they are meant to support. A sequence of learning tasks is proposed.

References

UNESCO. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO.

Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital Competence Framework for Citizens – With new examples of knowledge, skills and attitudes. Luxembourg: Publications Office of the European Union.

Kasneci, E., Sessler, K., Küchemann, S., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.

Bruner, J. (1991). The narrative construction of reality. Critical Inquiry, 18(1), 1–21.

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Published

2026-10-13

How to Cite

Zokirova Sohiba Mukhtoraliyevna. (2026). Generative Artificial Intelligence And Narrative Digital Text Creation: Opportunities And Risks For Pre-Service Primary Teacher Education. Next Scientists Conferences, 1(01), 106–107. Retrieved from https://nextscientists.com/index.php/science-conf/article/view/1281