Article

ARTIFICIAL INTELLIGENCE AND ITS EDUCATIONAL POTENTIAL IN INDEPENDENT LEARNING OF CHEMISTRY

Komila Komilovaa student at the National Pedagogical University of Uzbekistan named after Nizami

Open MINDrepository2026

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Abstract

This paper provides an analytical overview of the educational potential of artificial intelligence technologies, with a particular focus on self-directed learning in chemistry. The study explores how AI-based platforms facilitate adaptive explanations of complex chemical concepts, enable personalized learning pathways, and support the development of practical skills through virtual laboratory environments. The implementation of tools such as ChatGPT, ChemGPT, PhET Interactive Simulations, Wolfram Alpha, and Semantic Scholar in university-level chemistry education is examined through comparative analysis.

Topics

Artificial Intelligence in Healthcare and Education Genetics, Bioinformatics, and Biomedical Research Online Learning and Analytics

Identifiers

DOI: 10.5281/zenodo.18498517

Citations and references

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