Global Journal of Engineering and Technology Research (GJETR) · Research article · Open access
Generative AI in Programming Education: A Review of Learning Support, Feedback, and Assessment Challenges
Dang Thi Kim Giao
11 July 2026 · Vol. 2, Issue 7, pp. 278-282
DOI: 10.65150/EP-gjetr/V2E7/2026-03
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What is this article about?
Generative AI is increasingly used in programming education. Tools such as ChatGPT, GPT-4, and GitHub Copilot can generate code, explain concepts, support debugging, and provide feedback.
Article at a glance
- Published
- 11 July 2026
- Volume / issue / pages
- Vol. 2, Issue 7, pp. 278-282
- ISSN
- 3051-3782 (online) · 3051-3774 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Generative AI is increasingly used in programming education. Tools such as ChatGPT, GPT-4, and GitHub Copilot can generate code, explain concepts, support debugging, and provide feedback. This review examines recent studies on generative AI in programming education, focusing on learning support, feedback generation, and assessment challenges. The findings show that generative AI can help students understand concepts, fix errors, and receive quick guidance. It can also help teachers prepare materials and reduce grading workload. However, it may also lead to overreliance, weak critical thinking, shallow understanding, and problems in homework, grading, plagiarism detection, and assessment validity. The review concludes that generative AI should be used as a guided support tool, not as a replacement for programming practice or teacher guidance.
Keywords: Generative AI, programming education, ChatGPT, feedback, assessment, academic integrity
Cite this article
Dang Thi Kim Giao (2026). Generative AI in Programming Education: A Review of Learning Support, Feedback, and Assessment Challenges. Global Journal of Engineering and Technology Research, 2(7), 278-282. https://doi.org/10.65150/EP-gjetr/V2E7/2026-03
@article{Dang2026,
title = {Generative AI in Programming Education: A Review of Learning Support, Feedback, and Assessment Challenges},
author = {Dang Thi Kim Giao},
journal = {Global Journal of Engineering and Technology Research},
year = {2026},
volume = {2},
number = {7},
pages = {278-282},
doi = {10.65150/EP-gjetr/V2E7/2026-03},
url = {https://doi.org/10.65150/EP-gjetr/V2E7/2026-03}
}Questions about this article
Who wrote this article?
Dang Thi Kim Giao.
Where and when was it published?
In Global Journal of Engineering and Technology Research, Volume 2, Issue 7, pages 278-282, published by EP Journals Group on 11 July 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-gjetr/V2E7/2026-03 (https://doi.org/10.65150/EP-gjetr/V2E7/2026-03).
How do I cite this article?
APA: Dang Thi Kim Giao (2026). Generative AI in Programming Education: A Review of Learning Support, Feedback, and Assessment Challenges. Global Journal of Engineering and Technology Research, 2(7), 278-282. https://doi.org/10.65150/EP-gjetr/V2E7/2026-03
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