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生成式人工智能赋能课程教学改革——以大数据技术及应用课程为例

Generative Artificial Intelligence Empowering Teaching Reform in Curriculum-A Case Study of the Big Data Technology and Applications Course
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摘要 生成式人工智能(Generative Artificial Intelligence,GAI)推动教育变革。针对大数据技术及应用课程的特点,围绕教学过程、学习过程、教学资源、教学工具四方面,提出了GAI在该课程教学改革中的实施路径。对比2022级传统教学班与2023级GAI赋能教学班,后者在课程满意度、综合成绩和竞赛参与率方面均高于前者,表明GAI赋能的教学改革有助于提升教学质量。 Generative artificial intelligence(GAI)is driving educational transformation.Focusing on the characteristics of the big data technology and application course,the paper proposes the implementation path of GAI in the teaching reform of this course from four aspects:teaching process,learning process,teaching resources,and teaching tools.By comparing the traditional teaching class of 2022 with the GAI enabled teaching class of 2023,it is found that the latter has higher course satisfaction,comprehensive grades,and competition participation rates.The teaching reform empowered by GAI helps to improve teaching quality.
作者 闫婷 李旺鑫 史钰祜 YAN Ting;LI Wangxin;SHI Yuhu(Shanxi Finance&Taxation College,Taiyuan Shanxi 030024,China)
出处 《信息与电脑》 2025年第19期145-148,共4页 Information & Computer
关键词 GAI 大数据技术及应用课程 教学改革 GAI big data technology and applications course teaching reform
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