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AI Empowers The Construction and Teaching Reform of Oil and Gas Field Chemistry Courses

Yongfei Li, Qian Wang, Xi Li, Dengmeng Song, Gang Chen
International Journal of Social Science and Education Research, (2025), Vol.8, No.5, pp.365-370
Published: April 16, 2025
DOI: 10.6918/IJOSSER.202505_8(5).0050
PDF: Download Full Text PDF
Abstract

This article explores the application paths of artificial intelligence (AI) technology in curriculum system reconstruction, teaching mode innovation, and practical optimization, based on the characteristics of oil and gas field chemistry courses and industry demands. By constructing an AI-driven 'three-stage progressive' teaching model, designing a virtual-reality integrated experimental teaching system, developing an intelligent evaluation and feedback mechanism, and achieving a deep integration of knowledge imparting, ability cultivation, and thinking inspiration, this article provides innovative solutions for the cultivation of chemical engineering talents in the oil and gas fields in the new era.

Keywords: Oil and gas field chemistry; AI empowerment; Teaching reform; Simulation; Intelligent evaluation.
APA Citation: Yongfei Li, Qian Wang, Xi Li, Dengmeng Song, Gang Chen (2025). AI Empowers The Construction and Teaching Reform of Oil and Gas Field Chemistry Courses. International Journal of Social Science and Education Research, 8(5), 365-370. https://doi.org/10.6918/IJOSSER.202505_8(5).0050

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