期刊文献+

油气人工智能课程实践案例融合与效果评价

Practical Case Integration and Effect Evaluation of Oil and Gas Artificial Intelligence Course
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摘要 人工智能时代下,各行业的交叉学科建设也在不断探索中。针对“油气人工智能”交叉学科的教学建设这一问题,文章研究探索了基于案例式的油气人工智能教学模式。文章从油气人工智能教学的选题模式、学习模式、课程实践模式等方面进行分析,通过具体的教学实施,开展了案例库建立、案例融合教学实践以及教学反馈评价等教学活动,可以为油气人工智能课程的建设提供启发。 Artificial intelligence has brought a new round of industrial change,and in the new era,the construction of artificial intelligence-related interdisciplinary disciplines is also constantly being explored.Aiming at the problem of teaching construction of the interdisciplinary subject of"Oil and gas artificial intelligence",this paper explores the teaching mode based on case.The teaching mode is analyzed from the aspects of topic selection mode,learning mode and course practice mode of oil and gas artificial intelligence teaching.And through the specific teaching implementation,the teaching activities can provide inspiration for the course construction of oil and gas artificial intelligence.
作者 胡晓东 林伯韬 宋先知 HU Xiaodong;LIN Botao;SONG Xianzhi(College of Artificial Intelligence,China University of Petroleum,Beijing 102249)
出处 《科教导刊》 2024年第18期132-134,共3页 The Guide Of Science & Education
关键词 交叉学科 油气人工智能 案例融合 课程实践 课程效果评估 cross disciplinary oil and gas artificial intelligence case integration course practice course effectiveness evaluation
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