ANALYSIS AND ASSESSMENT OF ARTIFICIAL INTELLIGENCE POTENTIAL FOR IMPROVING AND AUTOMATING THE DEVELOPMENT OF METHODOLOGICAL SUPPORT FOR THE EDUCATIONAL PROCESS IN DISTANCE LEARNING
Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This article analyzes the potential of artificial intelligence (AI) to enhance and partially automate the development of methodological support for distance education. The growing demand for quality digital content and the rapid integration of AI in education underline the relevance of this research. Special focus is placed on AI-generated educational materials, particularly glossaries and explanatory resources in biochemistry.
The study highlights both advantages and limitations of AI in generating definitions of biochemical terms. For instance, the AI-generated definition of glucose lacks essential scientific details, such as its molecular structure and role in metabolism.
Similarly, the description of monosaccharides omits key chemical characteristics, limiting their academic value. These examples raise concerns about the scientific adequacy of AI-generated content.
Nevertheless, the article emphasizes the benefits of AI in expediting initial content creation, aiding information synthesis, and reducing educator workload. However, mandatory expert review is required to ensure high academic quality. The analysis of glossaries also revealed significant gaps, particularly the absence of terms related to the classification of carbohydrates, enzymatic activity, metabolic processes, and other key concepts of biochemical relevance.
In conclusion, the study advocates for a hybrid approach that combines AI’s efficiency with expert oversight to produce accurate and pedagogically valuable materials. Based on the findings, practical recommendations are provided for effectively integrating AI tools into the development of methodological resources for scientific distance learning.
Description
Reshnova S., Vasylieva N., Popovych T., Pylypchuk L., Solona Yu. Аnalysis and assessment of artificial intelligence potential for improving and automating the development of methodological support for the educational process in distance learning. Науковий часопис Українського державного університету ім. Михайла Драгоманова. Серія 5. Педагогічні науки: реалії та перспективи. Київ : Видавничий дім «Гельветика», 2025. Вип. 104. С. 94-99.
Keywords
distance learning, artificial intelligence, bioorganic chemistry, methodological support of the educational process.