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开源课程及数据科学导论的开源 被引量:4

Open-source Course and Open-sourcing Intro to Data Science
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摘要 为解决当前课程建设面临的教师备课工作效率低、教育管理部门的激励覆盖面受限以及MOOC课程在教师群体关注点上存在盲区等问题,提出了开源课程行动倡议。在此基础上,结合作者自2017年以来建设首门示范开源课程——数据科学导论——的经验教训,给出了开源课程的内涵与特征,并探讨了开源课程建设的流程、原则和关键技术。开源课程行动倡议是继MOOC之后的一项全新的教学改革思想,为进一步推动教学改革,尤其是在复用教学资源、提升备课质量、分享教学经验、弥补MOOC课程的不足方面具有较高的参考价值。 A novel initiative called Open Source Courses is proposed to provide an alternative solution for improving the poor efficiency of teachers’lesson preparation activities,expending the limited incentive coverage of education management departments,and satisfying the interests of teachers in MOOC courses.Furthermore,the definition,characteristics of open source courses are described,and the process,principles,and key technologies of open source course construction are proposed based upon the lessons from the construction of the first Open Source Course named Introduction to Data Science.The Open Source Course action initiative is a novel teaching reform idea after MOOC,which has a high reference value for further promoting teaching reform,especially to reuse teaching resources,improve the quality of lesson preparation,share teaching experience,and make up for the deficiency of MOOC courses.
作者 朝乐门 CHAO Le-men(Key Laboratory of Data Engineering and Knowledge Engineering,Renmin University of China,Beijing 100872,China;School of Information Resource Management,Renmin University of China,Beijing 100872,China)
出处 《计算机科学》 CSCD 北大核心 2020年第12期114-118,共5页 Computer Science
基金 国家自然科学基金项目(72074214)。
关键词 开源课程 数据科学 教学改革 课程建设 Open Source Course Data Science Teaching reform Course construction
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