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作 者:宋小芹 SONG Xiaoqin(Sias University,Zhengzhou Henan 451150,China)
出 处:《信息与电脑》2023年第20期254-256,共3页Information & Computer
基 金:郑州西亚斯学院2022年度教改基金资助项目(项目编号:2022JGZD28)。
摘 要:算法类课程教学资源共享方法直接分类共享资源,未提取教学资源特征,导致共享资源效率较低。为此,提出基于1+X证书的算法类课程教学资源智能共享方法。该方法提取教学资源特征,并以此为依据构建分类标准,分类教学资源,将特征分类融入1+X证书,基于1+X证书实现算法类课程教学资源共享。实验结果表明,该研究方法共享所需时间短,效率较高。The sharing method of teaching resources in algorithmic courses directly classifies shared resources without extracting the characteristics of teaching resources,resulting in low efficiency of shared resources.Therefore,a method for intelligent sharing of teaching resources for algorithmic courses based on 1+X certificates is proposed.Extract the characteristics of teaching resources,based on which a classification standard is constructed to achieve the classification of teaching resources.The feature classification is integrated into the 1+X certificate,and algorithmic course teaching resource sharing is achieved based on the 1+X certificate.The experimental results indicate that the sharing time of this research method is short and the efficiency is high.
分 类 号:G642[文化科学—高等教育学]
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