Improving The Methodology Of Inquiry-Based Teaching Of Inorganic Chemistry Through Artificial Intelligence

dc.contributor.author	Boboyarova Nilufar Saydullayevna
dc.date.accessioned	2026-01-01T11:32:47Z
dc.date.issued	2025-03-16
dc.description.abstract	This article analyzes the issue of improving the methodology of inquiry-based teaching using artificial intelligence (AI). Traditional teaching methods are often insufficient for developing students' research and independent inquiry skills. Therefore, integrating AI technologies into the educational process has become an essential task. This paper examines the relationship between artificial intelligence and inquiry-based learning (IBL) methodology and explores its application in teaching inorganic chemistry.
dc.format	application/pdf
dc.identifier.uri	https://zienjournals.com/index.php/jpip/article/view/6006
dc.identifier.uri	10.62480/jpip.2025.vol42.pp1-4
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/62391
dc.language.iso	eng
dc.publisher	Zien Journals
dc.relation	https://zienjournals.com/index.php/jpip/article/view/6006/4886
dc.rights	https://creativecommons.org/licenses/by-nc/4.0
dc.source	Journal of Pedagogical Inventions and Practices; Vol. 42 (2025): JPIP; 1-4
dc.source	2770-2367
dc.subject	inorganic
dc.subject	insufficient
dc.subject	inquiry-based learning
dc.subject	methodology
dc.title	Improving The Methodology Of Inquiry-Based Teaching Of Inorganic Chemistry Through Artificial Intelligence
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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