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作 者:刘文军[1] 徐四六[2] LIU Wen-jun;XU Si-liu(School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China;School of Biomedical Engineering and Imaging,Xianning Medical College,Hubei University of Science and Technology,Xianning 437100,China)
机构地区:[1]北京邮电大学理学院,北京100876 [2]湖北科技学院医学部生物医学工程与医学影像学院,湖北咸宁437100
出 处:《湖北科技学院学报》2025年第3期97-103,共7页Journal of Hubei University of Science and Technology
基 金:北京邮电大学教改项目(2024YB39,2024Y037)。
摘 要:随着人工智能的飞速发展,基于生成式算法的大模型在教育实践的应用越发广泛,为大学数学物理方法课程的改革提供了契机。本研究基于北京邮电大学自主研发的“码上”智能教育平台,以数学物理方法课程为例,采取丰富教学内容,优化教学质量以及构造多指标评估体系的策略,完成教学模式改革,最终达到培养复合型人才,创新型人才的目的。With the repaid development of artificial intelligence,large model based on the generative algorithms are increasingly applied in the education practice,providing an opportunity for the reform of university courses.Based on the“MashOn”intelligent education online platform developed by Beijing University of Post and Telecommunication,taking the mathematical and physical methods as an example,the research adopts the strategies of enriching the teaching contents,optimizing the teaching quality and constructing multi-indicator evaluation system to complete the reform of education mode,which has an ultimate goal to cultivate interdisciplinary and innovative talents.
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