Штучний інтелект при вивченні хімії у закладах вищої освіти

Author(s):

Khobotova Elina Borysivna, ORCID: https://orcid.org/0000-0001-6377-5186
Datsenko Vita Vasylivna, ORCID: https://orcid.org/0000-0001-8331-8863

DOI: https://doi.org/10.32782/2307-9770.2025.13.03.04

Paper Language: UKR

Abstract

The article reviews the use of artificial intelligence (AI) in higher education, which provides an understanding of the main aspects of AI in education: the use of AI tools to solve educational problems; solving problems of student engagement, educational inequality and time restrictions; the development of human intelligence alongside AI. The main roles that AI takes on in education in higher education institutions are indicated. The novelty of the results obtained lies in highlighting the positive and negative aspects of the application of AI in education, problematic aspects of the use of AI in teaching chemistry and unresolved issues. The most effective possibilities of using generative AI in conducting educational classes in the discipline of "Chemistry" and at the highest scientific level in conducting scientific chemical research have been identified. The results of the study show that generative AI can be used in educational classes in chemistry as a tool for creating an illustrative series, as an opponent, in monitoring with refinement of analytics and with the creation of generalized models. The advantages of AI in the study of chemistry in conducting student scientific research are considered: in analyzing large databases, identifying molecular properties, modeling molecular structure, predicting chemical reactivity and properties of substances, creating innovations in chemical research. AI can also provide a reduction in dependence on chemical experimentation. An example of our own experience using Chat GPT when conducting scientific research with students is given: existing approaches to the synthesis of ferrites are analyzed, the most optimal strategy for the synthesis of copper-zinc ferrites is selected, a generalized model of possible properties of ferrites as useful technical materials is created and methods for their research are analyzed. The synthesized ferrites have proven themselves as photocatalysts, oxidizers, sorbents, compounds with superparamagnetic properties. The practical value of the article lies in the fact that it provides stakeholders parties with information about the positive and negative features of the use of generative AI in higher education and specifically in the study of chemistry.

Keywords

вища освіта; методи навчання; штучний інтелект; дисципліна «Хімія»; навчальні заняття; студентські наукові дослідження

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