Articlegold2025

Academic misconduct and artificial intelligence use by medical students, interns and PhD students in Ukraine: a cross-sectional study

Lesya V. Lymar · Iurii L. Kuchyn · Livia Puljak

13 citations0/0 files storedBMC Medical Education

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Academic integrity and plagiarism Artificial Intelligence in Education Artificial Intelligence in Healthcare and Education

Abstract

BACKGROUND: The issues regarding the use of artificial intelligence (AI) and academic integrity are important contemporary topics. There are no clear regulations governing the use of AI in academic institutions in Ukraine. This study aimed to explore the perceptions of medical students, interns, and PhD candidates about academic misconduct and AI use. METHODS: The cross-sectional study was conducted online via survey in October-December 2024. The participants were medical students, interns, and medical PhD students of the Bogomolets National Medical University in Kyiv, Ukraine. RESULTS: Among 244 study participants, the majority (84%) reported using AI for academic purposes, with ChatGPT being the most commonly used tool. AI was primarily employed for information searches (70%), while a smaller proportion admitted using it for academic dishonesty, such as writing essays (14%) or submitting pre-written assignments (9%). Nearly half (51%) of participants reported having cheated on tests previously. Opinions on AI's impact on academic integrity were divided, with 36% considering AI use as misconduct, 26% perceiving it as acceptable, and 38% undecided. Most participants viewed AI as beneficial for learning and work, with 37% indicating they would continue using AI professionally. Perceived AI's advantages included time efficiency, enhanced learning, and accessibility, while concerns were raised about errors, lack of critical thinking, over-dependence, and ethical risks. CONCLUSION: These results highlight the widespread adoption of AI among medical students, interns, and PhD candidates for academic purposes, with both notable advantages and significant ethical and practical concerns. Considering the prevalent use of AI for academic work among medical students, interns and PhD students in Ukraine, national rules are needed to define which uses of AI constitute academic dishonesty and academic misconduct.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 13 citations exist upstream.

References

2022Using artificial intelligence methods for systematic review in health sciences: A systematic review 2023Is using ChatGPT cheating, plagiarism, both, neither, or forward thinking?2023Ethical Dilemmas in Using AI for Academic Writing and an Example Framework for Peer Review in Nephrology Academia: A Narrative Review 2023An overview of the capabilities of ChatGPT for medical writing and its implications for academic integrity 2023Correction to: Can artificial intelligence help for scientific writing?2014Who would students ask for help in academic cheating? Cross-sectional study of medical students in Croatia 2024Is use of ChatGPT cheating? Students of health professions perceptions 2019Korean medical students’ attitudes toward academic misconduct: a cross-sectional multicenter study

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.