OPEN SCIENCE, GENERATIVE ARTIFICIAL INTELLIGENCE, AND ACADEMIC INTEGRITY: NEW GUIDELINES FOR THE PROFESSIONAL TRAINING OF FUTURE TEACHERS
DOI:
https://doi.org/10.62405/osiconf.2026.18Keywords:
open science; generative artificial intelligence; academic integrity; professional training of future teachers; digital literacy; institution of higher education.Abstract
The purpose of this study is to provide a theoretical justification for the relationship between the principles of open science, the responsible use of generative artificial intelligence, and academic integrity, as well as to determine their role in the professional training of future educators. To achieve this objective, the study employed methods of analyzing and synthesizing scientific sources, analyzing regulatory and methodological documents, conducting surveys of higher education students, and statistically processing the obtained results. The study found that while most future teachers actively use generative artificial intelligence in their teaching activities, they lack sufficient awareness of the principles of open science and the ethical aspects of applying such technologies. The interconnection between open science, generative artificial intelligence, and academic integrity as complementary components of modern teacher training has been substantiated. The necessity of integrating the principles of open science, academic integrity, and the responsible use of generative artificial intelligence into educational programs for teacher training majors and the system for training future professionals has been demonstrated.
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