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人工智能背景下“油矿地质学”课程教学内容改革与探索
Reform and Exploration of Teaching Content for “Oilfield Geology” in the Era of Artificial Intelligence

DOI: 10.12677/ae.2026.161037, PP. 269-275

Keywords: 油矿地质学,人工智能,课程教学内容,考核方式
Oilfield Geology
, Artificial Intelligence, Course Teaching Content, Assessment Methods

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Abstract:

课程教学内容改革是课程建设的关键环节,在重庆科技大学“油矿地质学”课程建设过程中,深度引入人工智能方法,系统优化了课程建设目标,在常规内容的基础上,增加了“人工智能+”融合点,按照8个模块系统实施,可激发学习兴趣、提升学习成效、增强实践能力。
Teaching content reform is a key component of curriculum development. In the process of constructing the “Oilfield Geology” course at Chongqing University of Science and Technology, artificial intelligence methods were deeply integrated to systematically optimize the course objectives. On the basis of conventional content, several “AI-enhanced” elements were added and implemented through eight structured modules. This reform stimulates students’ interest, improves learning outcomes, and strengthens practical abilities.

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