ORIGINAL RESEARCH article
Front. Comput. Sci.
Sec. Digital Education
Artificial Intelligence in Educational Assignments: Issues of Academic Integrity
Provisionally accepted
- Moskovskij politehniceskij universitet, Moscow, Russia
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Background. The article examines the challenges associated with students’ use of artificial intelligence-based software tools in the educational process. Advances in information technology have enabled the automatic generation of new content of various types (text, graphics, audio) upon request, without direct human involvement. While offering considerable opportunities, such technologies also create potential risks for maintaining academic integrity in the course of mastering educational programs. The aim of this study is to assess the influence of artificial intelligence technologies on students’ responses when completing assignments related to the acquisition of theoretical knowledge. Materials and Methods. The research was conducted between 2023 and 2025 among second-year students enrolled in the “Applied Informatics” program. The use of stylistic, morphological, semantic, and syntactic analysis methods made it possible to identify key errors in responses to different types of tasks. Conducting an anonymous survey among students after submitting their completed work allowed us to establish the principles, methods, and tools that were used to obtain the result. Results. The key feature of the study sample is the absence of prior work experience and the limited professional background of these students, which made it possible to determine the extent to which artificial intelligence-generated information affected the final content of their responses. The study identifies the most typical structural and semantic patterns characteristic of artificial intelligence-assisted student answers. On this basis, a methodology has been developed to assist instructors in determining the degree of artificial intelligence involvement in student work. Conclusion. The findings can be applied to the modernization of the educational process and the design of personalized educational trajectories.
Keywords: artificial intelligence, digital transformation, Education, quality of knowledge, Questionnaire survey
Received: 27 Oct 2025; Accepted: 07 Jan 2026.
Copyright: © 2026 Logachev. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Maxim Logachev
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