Jasalma intellekt dáwirinde informatikanı oqıtıwda oqıwshılardıń algoritmlik oylawın rawajlandırıwdıń sanlı-didaktikalıq modelin joybarlastırıw

Designing a digital-didactic model for developing students’ algorithmic thinking in computer science education in the age of artificial intelligence

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Published: 2026-10-31
DOI: https://doi.org/10.66073/ReFocus-Conf/0910277
Keywords:
Algorithmic thinking, Computational Thinking, Generative AI, digital didactics, computer science pedagogy, TPACK, pedagogical modeling

Main Article Content

A. Uteulieva
Nukus State Pedagogical Institute named after Ajiniyaz

Abstract

This paper develops and substantiates a comprehensive digital-didactic model for fostering students' algorithmic and computational thinking in school computer science education amid the widespread adoption of Generative Artificial Intelligence (GenAI). Analyzing the declining effectiveness of traditional programming instruction in the context of automated code generation, the authors show the need to shift the pedagogical focus from memorizing syntax to algorithmic decomposition, abstraction and conceptual modeling. The five-component didactic system consists of goal, content, technology-and-environment, activity-and-method and assessment-and-outcome blocks. The proposed system provides a structured pedagogical pathway for developing high-level problem-solving skills and critical computational competencies in AI-augmented learning environments.

Article Details

Issue

2026: Proceedings of the International Scientific and Practical Conference “Contribution of Women Scientists of Uzbekistan to the Development of the Country” (Nukus, October 9–10, 2026)

Section

Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

A. Uteulieva. (2026). Designing a digital-didactic model for developing students’ algorithmic thinking in computer science education in the age of artificial intelligence. Partner Conferences of the International Scientific Journal Research Focus, 1333-1337. https://doi.org/10.66073/ReFocus-Conf/0910277

References

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