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Enhancing programming education through AI-driven tools and innovative pedagogical models: a systematic study on student engagement, retention, and self-regulation

Crossref DOI link: https://doi.org/10.1007/s40692-026-00391-4

Published Online: 2026-06-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Katona, József https://orcid.org/0000-0002-8188-2425
Gyonyoru, Klara Ida Katonane https://orcid.org/0009-0000-7830-1098
Funding

Funding for this research was provided by:

John von Neumann University
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Text and Data Mining valid from 2026-06-01

Version of Record valid from 2026-06-01
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Article History

Received: 25 November 2024

Revised: 22 March 2026

Accepted: 1 April 2026

First Online: 1 June 2026

Declarations

:

: The authors declare that there are no competing interests related to this research.

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