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Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference
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THE ROLE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN PROGRAMMER TRAINING: OPPORTUNITIES AND CHALLENGES

descriptionPublicationkeyboard_double_arrow_right Article 08 Jun 2025Publisher:Riga Technical UniversityJournal:ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference, volume 2, pages 151-156 (issn: 1691-5402, eissn: 2256-070X, Copyright policy )
Authors: Hadzhikoleva, Stanka; Rachovski, Todor; Hadzhikolev, Emil; Ivanov, Ivan;

doi: 10.17770/etr2025vol2.8608

THE ROLE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN PROGRAMMER TRAINING: OPPORTUNITIES AND CHALLENGES

Abstract

Artificial intelligence has rapidly entered people's daily lives and has innovated many traditional models by integrating AI technologies. The need for changes in educational practices has come to the forefront. This article outlines various possibilities for using generative artificial intelligence in programming education. Different examples are presented, including code generation, debugging and optimization, documentation and commenting, automated testing, conversion between different programming languages, and more. Additionally, some risks and limitations are discussed. 

Related Organizations
Keywords

programming with AI, AI in programmer training, generative AI in programming education, AI in education

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold